Applied science jobs in United Kingdom

Overview AI is already making a real impact at Chambers and Partners, with solutions running across our editorial, research, product and commercial teams. We’re now looking for an AI Solutions Lead to lead our AI engineering team and help shape the next stage of how we use AI across the business. \n This is a hands-on leadership role for someone who enjoys solving complex technical problems while bringing people, priorities and ideas together. You'll be the most senior technical voice on AI at Chambers, responsible for defining what good looks like in AI engineering: the standards, modelling choices and evaluation discipline the team works to. \n You’ll stay close to the technology while having the opportunity to influence what we build, why we build it and where AI can create the greatest value. Main Duties and Responsibilities \n\n • \n Lead the delivery of multiple AI initiatives, from discovery and scoping through to production and measuring their impact. \n\n\n • \n Set technical direction across AI architecture, model selection, data and retrieval strategies, evaluation and deployment. \n\n\n • \n Design scalable, secure and maintainable AI solutions in partnership with our Technology and Data teams. \n\n\n • \n Lead, mentor and develop our team of AI engineers, creating an environment where people can do their best work. \n\n\n • \n Champion high-quality engineering practices, including code review and safe, structured and streamlined deployment. \n\n\n • \n Work closely with Product, Research, Commercial, Data and Technology teams to turn business challenges into practical AI solutions and manage cross-team dependencies. \n\n\n • \n Advise senior stakeholders on technical options and trade-offs, helping prioritise the opportunities that will create the greatest value. \n\n\n • \n Keep Chambers connected to developments in AI and identify where emerging technologies can be applied in useful and responsible ways. \n\n Why you should apply \n AI is already in production at Chambers - models running live across editorial, research, product and commercial workflows.?The problems are genuinely hard, largely unsolved, and the output reaches a global professional audience that depends on getting it right. \n It's also a role with room in it. You'll line-manage the AI engineering team and own technical direction, but you'll stay close to the code - this isn't a job where you hand the interesting problems to someone else. You'll work directly with senior stakeholders, help decide what we build rather than just how, and because this is a focused team rather than a large one, the decisions you make show up quickly in what ships. \n Chambers is midway through a significant AI transformation. If you want to shape how a category-defining company applies AI - this is the role. \n Skills, Experience & Personal Attributes \n You'll bring a strong applied data science foundation, with the statistical judgement to frame problems, test hypotheses and evaluate whether AI solutions genuinely work. You'll combine this with experience taking ML and GenAI solutions into production and leading technical teams or workstreams. \n You’ll bring: \n Essential \n\n • \n A data science foundation, applied for outcomes: framing the business question, setting baselines, choosing the right metric and delivering measurable results rather than just models. This comes with statistical rigour: experimental design, sound validation, and an instinct for leakage, bias and overfitting in messy real-world data. \n\n\n • \n Strong ML fundamentals across classical ML and deep learning (pandas, scikit-learn, XGBoost or LightGBM, PyTorch), and the judgement to tell when a language model is the wrong tool. \n\n\n • \n A deep understanding of how modern models are built, not only how they're used: transformer architectures, pre-training and post-training methods (SFT, RLHF/DPO) and evaluation methodology. You will have fine-tuned models yourself, for example with the Hugging Face ecosystem (Transformers, PEFT/LoRA, TRL), and can explain from first principles why a system fails. \n\n\n • \n NLP depth on long-form professional text: classification, information extraction, entity resolution, summarisation, embeddings and retrieval. \n\n\n • \n Real-world delivery of modern AI approaches (RAG, fine-tuning, agentic AI and multimodal models) in production workflows. You'll have built on model APIs (e.g. Azure OpenAI, Anthropic, open-weight models) and evaluation tooling, and know when the framework, or the LLM, is unnecessary. \n\n\n • \n Hands-on engineering skills in Python and SQL, taking work from notebook to production to a high standard (testing, CI/CD, containers, infrastructure-as-code), with production experience on Azure, ideally Azure ML and Databricks. You'll work as a peer of the platform engineering teams. \n\n\n • \n Rigour in running AI in production: experiment tracking and model registry (MLflow), evaluation frameworks and regression testing before release, monitoring and data-drift management, LLM observability and model governance. \n\n\n • \n A track record of owning technical decisions across model selection, data and retrieval strategy, evaluation and production deployment, and of contributing AI expertise to solution architecture. \n\n\n • \n Proven leadership of AI, ML or data science teams: hiring, mentoring and growing a team that ships, and moving it from prototype habits to production discipline. You'll run delivery through Scrum or Kanban, adapted for AI work with time-boxed spikes, hypothesis-driven experiments and definitions of done that include evaluation thresholds. \n\n\n • \n The credibility to advise senior stakeholders, translating complex technical trade-offs and statistical findings into clear, commercially grounded decisions, and being plain about what the data does and doesn't support. \n\n\n • \n A pragmatic, delivery-first mindset: you influence what gets built, then make sure it ships. \n\n\n • \n Genuine curiosity about where AI is heading, and the judgement to know which developments actually matter for the business. \n\n Desirable \n\n • \n Experience across the wider Azure AI and data estate, such as AKS, Azure AI Search, Azure OpenAI and Azure Document Intelligence. \n\n <

Our client is a board governance software company. Our client is a technology and advisory firm on a mission to make boards more effective, and through them, build better businesses and benefit society. Over twenty years we have established ourselves as the market leader in governance and board effectiveness, trusted by more than 80,000 directors, executives, and governance professionals globally, including across the Fortune 500, FTSE 100, and OMX 30. That trust has been earned through depth of insight, rigorous advisory work, and a track record that newer entrants simply cannot replicate. We have invested in applied AI since 2020, well ahead of the market, and that early conviction has paid off. Our AI-powered platform and smart board advisor give us a competitive advantage that is widening, not narrowing. In 2024, K1 Investment Management, the leading B2B Enterprise SaaS investor, backed us to accelerate that position further. We are now growing fast, with a proven commercial model spanning both mid-market and enterprise, and a product suite that has become a necessary addition in high-stakes board environments. The people joining us now will shape how we scale. We are deliberate about how we do that. Our founders and leadership team are deeply invested in keeping the culture that got us here: thoughtful, high calibre, and genuinely human. Ambition and balance are not in competition at our client. If you want to work at the intersection of AI and governance, on problems that matter at the highest level, this is a strong place to be. Our Mission We unleash the potential of organisations through the science of board effectiveness, building better businesses and benefitting society. The Role We are looking for an Account Executive to join our expanding sales team and take ownership of the UK mid-market. This is a full sales cycle role where you will be responsible for driving annual recurring revenue through new business acquisition, managing opportunities from first contact through to close, and building long term client relationships. You will take a proactive approach to building and nurturing your pipeline, using creativity and persistence to open new conversations and develop qualified opportunities. Working closely with senior stakeholders across your accounts, you will act as a trusted partner, understanding their challenges and demonstrating how our client can deliver measurable value. This role will suit someone who is self-motivated, commercially minded, and thrives in a high-performance environment. You will have the confidence to engage with senior decision makers, the curiosity to understand their strategic priorities, and the credibility to position our product as a solution that enables better governance, smarter decision making, and stronger business outcomes. Main Responsibilities Identify, prospect, and qualify new business opportunities within the mid market segment Own the full sales cycle from initial outreach through to close, managing multiple deals in parallel Build and develop relationships with senior stakeholders and decision makers across target accounts Lead structured discovery conversations to uncover client challenges, priorities, and buying drivers Deliver tailored product demonstrations and proposals that clearly articulate value and business impact Collaborate cross functionally with Marketing, Product, and Customer Success to support deal progression and seamless onboarding Maintain accurate pipeline management, forecasting, and activity tracking within CRM systems Contribute to continuous improvement of sales processes, messaging, and team performance through insight sharing What we're looking for Required Experience Proven experience in B2B sales, ideally within SaaS or technology Confident managing the full sales cycle independently, from prospecting to close Excellent communication and influencing skills, with the ability to engage senior stakeholders Self-motivated and driven to exceed targets, with strong organisational skills A collaborative team player who thrives in a fast-paced environment Knowledge of governance or the boardroom environment is an advantage but not essential Gravitas to engage with senior stakeholders Our Values Our values aren't just words on a wall. They capture our culture, and the behaviours we see and strive for every day. Kindness & caring — We celebrate brilliance that comes without big egos or sharp elbows, and we win while raising each other up. Curiosity & innovation — Entrepreneurship is in our blood. We're inquisitive, challenge convention, think big, and move fast. Remarkable quality & service — We take joy from delighting our clients and pride ourselves on ensuring every interaction is exceptional. Benefits We pride ourselves on our great working environment and package. Here's some of what's on offer: Pension scheme Personal performance bonus 26 days holiday each calendar year Bupa health & dental cover Group life assurance EAP Cycle to work scheme Diversity, equity and inclusion Our client is committed to building a team that reflects the breadth of experience, background and perspective needed to do this work well. We welcome applications from candidates of all backgrounds and do not discriminate on the basis of age, disability, ethnicity, gender, religion, sexual orientation or any other protected characteristic. If you need any reasonable adjustments at any stage of the process, please let us know and we will accommodate them. TPBN1_UKTJ

Our client is a board governance software company. Our client is a technology and advisory firm on a mission to make boards more effective, and through them, build better businesses and benefit society. Over twenty years we have established ourselves as the market leader in governance and board effectiveness, trusted by more than 80,000 directors, executives, and governance professionals globally, including across the Fortune 500, FTSE 100, and OMX 30. That trust has been earned through depth of insight, rigorous advisory work, and a track record that newer entrants simply cannot replicate. We have invested in applied AI since 2020, well ahead of the market, and that early conviction has paid off. Our AI-powered platform and smart board advisor give us a competitive advantage that is widening, not narrowing. In 2024, K1 Investment Management, the leading B2B Enterprise SaaS investor, backed us to accelerate that position further. We are now growing fast, with a proven commercial model spanning both mid-market and enterprise, and a product suite that has become a necessary addition in high-stakes board environments. The people joining us now will shape how we scale. We are deliberate about how we do that. Our founders and leadership team are deeply invested in keeping the culture that got us here: thoughtful, high calibre, and genuinely human. Ambition and balance are not in competition at our client. If you want to work at the intersection of AI and governance, on problems that matter at the highest level, this is a strong place to be. Our Mission We unleash the potential of organisations through the science of board effectiveness, building better businesses and benefitting society. The Role Our Revenue team is responsible for selling our products and services. We do this through a sales team and a consultancy. This role reports to the VP Sales and is within the sales team, focusing on selling our technology as the first step towards better governance & decision making. Main Responsibilities • Cultivating and nurturing sales opportunities while achieving targeted numbers for Annual Recurring Revenue and Professional Services. • Proactively prospecting, as well as qualifying and pursuing marketing-generated leads – with a focus on in-person networking in London. • Establishing executive sponsorship by making connections in prospect and partner organisations and understanding business needs and objectives. • Justifying the value of our proposition, through effective research of a prospect's business to demonstrate ROI. Expertly navigating objections, anticipating and planning to avoid them. • Discovering and defining client problems, using questioning and research techniques to uncover explicit or latent business issues related to our products/services. • Building domain expertise, showing a deep understanding of the target market's customers, needs and use cases. To be considered “one of them” by prospects. • Following our sales process guidance and using related tools to ensure accurate data at all times. • Taking a resourceful approach to your work, creating customer-centric solutions where company approaches fall short and finding solutions to overcome challenges. • Taking a creative view on how we sell, recognising the need to go beyond the playbook for some potential opportunities. • Raising the game on how we ensure we maximise our deal potential and capture a much bigger market share. What we're looking for Required Experience • A highly experienced sales executive with proven track record of delivering growth, ideally in a B2B SaaS environment. • Gravitas and poise to engage senior stakeholders with challenging demands, whilst also having the warmth to nurture relationships with more junior members of FS governance teams. • Mastery of the SaaS sales process, with exceptional eye for detail on how to build the disciplines and approach to sell varied products to senior, discerning buyers in Enterprise businesses. • Experience in a high-end professional services environment, building creative solutions to complex client problems and selling major pieces of work would be beneficial. • A passion for business, with knowledge about governance, leadership and decision-making. An appreciation for enterprise-level board dynamism especially in FS would be beneficial. • Exceptional operating disciplines, attention to detail and project management ability. Innately metric-driven. • The grit and tenacity needed to deliver this ambitious remit. Our Values Our values aren't just words on a wall. They capture our culture, and the behaviours we see and strive for every day. Kindness & caring — We celebrate brilliance that comes without big egos or sharp elbows, and we win while raising each other up. Curiosity & innovation — Entrepreneurship is in our blood. We're inquisitive, challenge convention, think big, and move fast. Remarkable quality & service — We take joy from delighting our clients and pride ourselves on ensuring every interaction is exceptional. Benefits We pride ourselves on our great working environment and package. Here's some of what's on offer: Pension scheme Personal performance bonus 26 days holiday each calendar year Bupa health & dental cover Group life assurance EAP Cycle to work scheme Diversity, equity and inclusion Our client is committed to building a team that reflects the breadth of experience, background and perspective needed to do this work well. We welcome applications from candidates of all backgrounds and do not discriminate on the basis of age, disability, ethnicity, gender, religion, sexual orientation or any other protected characteristic. If you need any reasonable adjustments at any stage of the process, please let us know and we will accommodate them. TPBN1_UKTJ

Geotechnical Engineer Reference: BY(phone number removed) Location: London Salary: £28,000 - £35,000 A well established ground investigation consultancy with projects in and around the London area are seeking a driven and experienced geotechnical site engineer to join their expanding team. With an innovative, inclusive and specialist team on hand to help develop skills, this position is a great opportunity for a geotechnical engineer to reach the next stage of their career. The Geotechnical Engineer selected will be provided with: A top salary (£28,000 - £35,000). Support to chartership. Excellent company benefits and enhanced pension scheme. Focussed training, where required. Varied and exciting day-to-day responsibilities and projects to work on.This Geotechnical Engineer position requires focussed work on a variety of projects. You'll be carrying out desktop studies, site walkovers, risk assessments, borehole logging, trial pitting, supervising drilling rigs, training junior team members and writing factual reports. The successful Geotechnical Site Engineer will: Have a degree in geotechnical engineering, applied geology, environmental science or a similar/relevant subject. Have experience as a geotechnical or geo-environmental engineer. Have exceptional communication skills, ideally with experience supervising junior members. Hold a valid UK driving licence. Be commutable to the London area. Have a full right to work in the UK.If you are interested in this or other Geotechnical Engineering/Consulting roles please do not hesitate to contact Beth Young on (url removed). We have many more vacancies available on our website. Please refer to (url removed). This is a permanent role. Penguin Recruitment is operating as a Recruitment Agency in respect to this position

This job is with Fitch Group, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Fitch Solutions is seeking a Director, Knowledge Graph based in our London office. Fitch Solutions is a leading provider of insights, data and analytics. It informs investment strategies, strengthens risk management capabilities and helps identify strategic opportunities. Its analysts, lawyers, journalists and economists offer in-depth views on credit markets/risk and individual credits, ESG, developed and emerging markets, and industry sectors. Fitch Solutions is part of Fitch Group, a global leader in financial information services with operations in over 30 countries. Fitch Group is owned by Hearst. By becoming a part of the Fitch Solutions team, you will join a group of colleagues delivering critical data, insightful research, and comprehensive analytics that empower clients to make informed decisions. You'll work in a dynamic environment where innovation is encouraged, and collaboration is key to developing solutions that address the evolving needs of global markets. With a portfolio of best-in-class, award winning brands, we offer you the opportunity to advance your career while contributing to a company known for its expertise and commitment to excellence. About the Team The Data Science Engine is a new capability under the Head of Analytics. Its specialists embed in priority product initiatives while building methods and tools that other teams and products can reuse. We are developing a unified analytics framework that describes what we analyze, how our capabilities relate, and which decisions they support. Our longer-term ambition is to help clients understand how risk moves through the world by connecting data, research and analytical methods across companies, instruments, industries and geographies. This role has the same dual remit: help selected initiatives deliver working knowledge graph applications, and establish the models, components and practices that future initiatives can adopt. You will work with data scientists, product teams, analysts, AI teams and the Core groups responsible for shared data and platforms. You will also help align our work with broader Fitch initiatives that connect research and intelligence across businesses. How You’ll Make an Impact: You will lead the design and initial implementation of connected data and knowledge graph capabilities that make analytics easier to discover, combine and apply. Starting with a real product problem, you will work with subject experts to model the relevant concepts and relationships, write the code and queries, and put a working solution in users’ hands. You will partner with engineering teams to make useful solutions durable and scalable. The model should be clear enough to extend, and it should evolve as real use cases reveal what is needed. Research Content and AI • Partner with research and content teams on tagging and enrichment that connects documents, topics, entities, events and analytical capabilities. Help make authored research easier to discover and reuse while preserving its source and context., • Contribute the semantic and graph modeling expertise needed for new product initiatives, which aim to connect intelligence across Fitch Ratings, BMI, Sustainable Fitch and CreditSights. Align definitions and interfaces with the wider program as its scope develops., • Work with AI teams to evaluate where connected context improves retrieval, grounded answers or other product workflows. Design for traceable sources and assess answer quality against real questions. Connected Analytics and Risk • Translate the unified analytics framework into a practical semantic model. Define analytical domains, subjects, lenses, capabilities, methods, inputs, outputs and the relationships among them so teams can understand and reuse work across products., • Model the connections that can explain risk pathways, such as how a country or industry development may relate to companies, exposures and credit outcomes. Make the meaning, timing, source and limits of each relationship explicit., • Work with data scientists to test whether graph relationships, features or algorithms improve a priority model or analytic use case. Compare the result with a simpler baseline and retain what proves useful. Implementation and Partnership • Embed in selected initiatives and personally build initial graph models, data mappings, queries and working implementations. With engineering and Core platform teams, develop the ingestion, validation and interfaces needed to make successful solutions reliable., • Use shared entity and identifier services as they mature. When a use case exposes a genuine linking problem, work with the teams that own entity resolution to define requirements and test an appropriately simple solution., • Establish reusable modeling patterns, examples and quality measures for relationships, provenance, temporal context and coverage. Teach partner teams to use and extend the capability, and help shape a larger specialist team if demand supports it. You First Year: Initial priorities will be chosen in collaboration with the Head of Analytics and product teams based on client value and available data. Early outcomes should include: • A working implementation for one priority analytics or risk question, using real data and a model validated with domain experts and prospective users., • A test of at least one adjacent use case, such as graph-derived features for a model or connected research for source-backed AI, measured against a simpler approach., • Reusable patterns, working examples and a practical adoption plan so future squads can apply what proves useful, with clear responsibilities across the Data Science Engine, Core platform and content teams. You May be a Good Fit if: Strong candidates may come from knowledge graph engineering, data engineering, applied data science or semantic technology. We care more about what you have built and how you approach a problem than a particular tool stack or formal ontology background. • You have built a knowledge graph or another connected data application for analytics, content or AI, and can take an idea from domain conversations to a working implementation., • You are a hands-on builder with Python and SQL who can own data mappings, graph queries, tests and the first usable version of a solution., • You can model real-world relationships with appropriate attention to identity, time, provenance and validation, adding detail as the use case requires it., • You have experience with a graph database or query language, or closely related semantic tooling. Familiarity with Cypher, SPARQL, RDF or property graphs is valuable; no single stack is required., • You can work with analysts, product managers, data scientists and engineers to define an ambiguous problem, make practical tradeoffs and deliver something other teams can use. What Would Make You Stand Out: • Knowledge of credit, financial markets, industry or country risk data, or experience making complex research content usable as structured information., • Experience applying graph-derived features to modeling, or connected retrieval to source-backed AI applications., • Experience with content enrichment, taxonomy design, temporal data, provenance or linked data standards across multiple teams or source systems. What We Offer • A build from first principles rather than the maintenance of an inherited system., • An opportunity to establish a new specialist capability within the Data Science Engine and shape how Fitch Solutions connects its analytics and research., • A hands-on remit spanning risk analytics, data science and AI, with close access to product teams and domain experts., • Scope to test useful approaches with real use cases before scaling them across a wider portfolio. Why Choose Fitch: • Hybrid Work Environment: 3 days a week in office required based on your line of business and location, • A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity, • Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals, • Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing, • Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively, • Inclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe, • Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community At Fitch, AI is embedded in how we work every day—supporting smarter decision-making, streamlining workflows, and enabling new ways to create value for our business and clients. Intelligent solutions are increasingly part of our day-to-day operations, helping teams work more efficiently and think differently as we continue to evolve. We’re looking for colleagues who are comfortable operating in an AI-enabled environment—or who are curious, adaptable, and eager to build their AI literacy over time. We value professionals who embrace technology as part of continuous learning and who are committed to using it thoughtfully to enhance how work gets done. Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch’s credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work. Fitch is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluatequalified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law. #LI-CM1 #LI-Hybrid

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.Applied AI EngineerYou will be responsible for :Contributing clean, production-quality Python code for multi-agent systems and applied AI components.Designing and implementing component-level solutions, including prompt construction approaches and tool integration methods.Building and maintaining test coverage across individual AI modules to ensure reliability and quality.Leveraging AI-powered coding assistants (Claude Code, Cursor, Codex) to accelerate development and maintain high engineering standards.Adhering to responsible AI standards, flagging potential compliance, bias or data handling concerns early.Participating actively in code reviews and pair programming to continuously develop your technical skills.Collaborating with AI platform and product teams to understand requirements and integrate shared tooling.Skills and experience we’re looking for :You’ll bring experience in many of these areas:Python Proficiency: Ability to write clean, maintainable and testable production Python code.Foundational AI/LLM Knowledge: Understanding of how LLMs are applied in production settings (agents, RAG, prompt engineering).GenAI Frameworks: Exposure to frameworks like AWS Strands, OpenAI Agents SDK, Google ADK, DSPy or similar libraries (LangChain/LangGraph, LlamaIndex).Software Engineering Fundamentals: Solid grasp of version control (Git), testing strategies and CI/CD pipelines.AI Coding Tools: Fluent use of modern AI coding assistants (Cursor, Claude Code, Codex).Cloud Awareness: Familiarity with cloud environments, preferably AWS.Quality & Governance: Curiosity about AI evaluation frameworks and a willingness to work within regulated governance standards.Education & Experience: A degree in Computer Science, STEM or equivalent practical experience, supported by relevant portfolio projects, open-source work or internship experience. (AWS Cloud Practitioner certifications are a bonus).Mandatory Skills: AI for SDLC. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview About the Team: Build the next generation of agentic AI. The Applied AI and Agents Factory brings together ambitious engineers to turn advanced AI capabilities into production-ready solutions. Working directly with business and technology teams, you'll tackle complex engineering challenges, build intelligent agents and take ideas from initial concept through to live deployment. This is an opportunity to work at the cutting edge of AI engineering, developing systems that go beyond conversational tools to reason, plan and execute multi-step workflows. You'll build reliable agent workflows, integrate AI with enterprise systems and ensure solutions perform securely and consistently in production. With a strong focus on hands-on engineering, collaboration and rapid delivery, the Factory gives you the opportunity to solve challenging technical problems, develop your expertise and contribute reusable tools and engineering practices that support AI adoption across Citi. If you want to do more than experiment with AI - and build, deploy and scale systems that deliver real business value - this is where you can make your mark. About the Role: The Forward Deployed Engineer is an intermediate-level software engineering position responsible for constructing automated evaluation harnesses, curating regression testbeds, optimizing prompts and output schemas, and automating testing pipelines within embedded LOB delivery pods. The overall objective of this role is to ensure the reliability, accuracy, and safety of production AI agents by building rigorous evaluation suites in Agentflow Studio and driving automated CI/CD test execution. Responsibilities: • Conducts tasks related to the construction, calibration, and execution of automated evaluation test suites using Agentflow Studio, measuring agent task completion, tool call correctness, latency, and hallucination metrics., • Curates and maintains domain-specific golden datasets, synthetic benchmarks, and regression testbeds in collaboration with LOB domain experts and senior engineers., • Optimizes prompt templates, system instructions, few-shot examples, and structured JSON output parsers (Pydantic/JSON Schema) to maximize deterministic agent behavior., • Authors and maintains automated test execution and deployment pipelines within Lightspeed CI/CD, enforcing continuous evaluation gates prior to staging and production rollout., • Utilizes in-depth specialty knowledge of Python applications development to analyze complex agent errors, evaluate system performance, and recommend advanced coding and prompt solutions., • Recommends and implements security measures and Lakera Guardrail policies in post-implementation analysis of agent usage to ensure safe functionality., • Monitors and controls evaluation test cycles, providing operational support, performance metrics, and prompt diagnostic reporting to business stakeholders and squad leads., • Has the ability to operate with a limited level of direct supervision, exercising independence of judgement and autonomy while acting as an evaluation SME to pod team members., • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications:, • Relevant software engineering or systems analysis experience or a specialized focus in Python and Generative AI application development)., • Solid Python programming proficiency, with practical experience integrating REST/gRPC APIs, Docker containers, and Git workflows., • Strong working knowledge of AI evaluation frameworks, benchmarking methodologies (BLEU, ROUGE, semantic similarity, LLM-as-a-judge), and automated testing suites., • Experience in managing and implementing automated test pipelines in CI/CD environments (Lightspeed, Tekton, Jenkins)., • Ability to work effectively under pressure, managing tight sprint deadlines and unexpected changes in model outputs or LOB requirements., • Good written and verbal communication skills with a methodical, detail-oriented approach to software quality and data integrity. Education:, • Bachelor's/University degree or equivalent experience in Computer Science, Data Science, or related quantitative discipline. What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: • 27 days annual leave (plus bank holidays), • A discretional annual performance related bonus, • Private Medical Care & Life Insurance, • Employee Assistance Program, • Pension Plan, • Paid Parental Leave, • Special discounts for employees, family, and friends Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above.------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi's EEO Policy Statement and the Know Your Rights poster.

Job ID: 102247798112Posted: 2026-10-21Location: London, England, United KingdomCategory: TechnologyCompany: CitiAbout the Team:Build the next generation of agentic AI.The Applied AI and Agents Factory brings together ambitious engineers to turn advanced AI capabilities into production-ready solutions. Working directly with business and technology teams, you’ll tackle complex engineering challenges, build intelligent agents and take ideas from initial concept through to live deployment.This is an opportunity to work at the cutting edge of AI engineering, developing systems that go beyond conversational tools to reason, plan and execute multi-step workflows. You’ll build reliable agent workflows, integrate AI with enterprise systems and ensure solutions perform securely and consistently in production.With a strong focus on hands-on engineering, collaboration and rapid delivery, the Factory gives you the opportunity to solve challenging technical problems, develop your expertise and contribute reusable tools and engineering practices that support AI adoption across Citi.If you want to do more than experiment with AI — and build, deploy and scale systems that deliver real business value — this is where you can make your mark.About the Role:The Forward Deployed Engineer is an intermediate-level software engineering position responsible for constructing automated evaluation harnesses, curating regression testbeds, optimizing prompts and output schemas, and automating testing pipelines within embedded LOB delivery pods. The overall objective of this role is to ensure the reliability, accuracy, and safety of production AI agents by building rigorous evaluation suites in Agentflow Studio and driving automated CI/CD test execution.Responsibilities:Conducts tasks related to the construction, calibration, and execution of automated evaluation test suites using Agentflow Studio, measuring agent task completion, tool call correctness, latency, and hallucination metrics.Curates and maintains domain-specific golden datasets, synthetic benchmarks, and regression testbeds in collaboration with LOB domain experts and senior engineers.Optimizes prompt templates, system instructions, few-shot examples, and structured JSON output parsers (Pydantic/JSON Schema) to maximize deterministic agent behavior.Authors and maintains automated test execution and deployment pipelines within Lightspeed CI/CD, enforcing continuous evaluation gates prior to staging and production rollout.Utilizes in-depth specialty knowledge of Python applications development to analyze complex agent errors, evaluate system performance, and recommend advanced coding and prompt solutions.Recommends and implements security measures and Lakera Guardrail policies in post-implementation analysis of agent usage to ensure safe functionality.Monitors and controls evaluation test cycles, providing operational support, performance metrics, and prompt diagnostic reporting to business stakeholders and squad leads.Has the ability to operate with a limited level of direct supervision, exercising independence of judgement and autonomy while acting as an evaluation SME to pod team members.Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.Qualifications:Relevant software engineering or systems analysis experience or a specialized focus in Python and Generative AI application development).Solid Python programming proficiency, with practical experience integrating REST/gRPC APIs, Docker containers, and Git workflows.Strong working knowledge of AI evaluation frameworks, benchmarking methodologies (BLEU, ROUGE, semantic similarity, LLM-as-a-judge), and automated testing suites.Experience in managing and implementing automated test pipelines in CI/CD environments (Lightspeed, Tekton, Jenkins).Ability to work effectively under pressure, managing tight sprint deadlines and unexpected changes in model outputs or LOB requirements.Good written and verbal communication skills with a methodical, detail-oriented approach to software quality and data integrity.Education:Bachelor’s/University degree or equivalent experience in Computer Science, Data Science, or related quantitative discipline.What we’ll provide youThis is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:27 days annual leave (plus bank holidays)A discretional annual performance related bonusPrivate Medical Care & Life InsuranceEmployee Assistance ProgramPension PlanPaid Parental LeaveSpecial discounts for employees, family, and friends Visit our Global Benefits page to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.#LI-AH4------------------------------------------------------Job Family Group: Technology------------------------------------------------------Job Family:Applications Development------------------------------------------------------Time Type:Full time------------------------------------------------------Most Relevant Skills Please see the requirements listed above.------------------------------------------------------Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.View Citi’s EEO Policy Statement and the Know Your Rights poster.

This job is with Fitch Group, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. The Fitch Group Emerging technology AI Center of excellence (COE) group is seeking a principal machine learning or AI engineerto be part of a team that will be dedicated to build and support Generative AI, Machine learning, Deep Learning and Data science solutions across the organization. The position will be based out of our London or Manchester office. Specific Emerging Technology team objectives are: • Gen AI/ML technology implementation with business and product owners, • Emerging Tech Governance function covering policies, guidelines and processes to govern AI/ML enabled components as well as third party AI governance, • Lead and support other enterprise-level AI exploration tools and capabilities, • Provide guidance and support for safe development and deployment of AI What We Offer: • This will be a high impact role with significant visibility where the candidate will work on some flagship Fitch products, • The candidate will have an excellent opportunity to work in the cutting-edge field of machine learning and data science, • Fitch promotes an excellent work culture and is known for providing a good work life balance We’ll Count on You To: • Work closely/as part of the product squads to build, integrate, and deploy GenAI, multi-AI-Agents and data science solutions. Ensure sharing best practices and learnings with other squad members., • Design and spearhead the development of Gen AI, AI Agents and MLOps platforms, applications, and solutions driven by GenAI, deep learning and machine learning to address business challenges and elevate product performance., • Build standards and recommendations for the AI engineering tech stack and data science models used across different enterprise AI use cases. Work closely with AI implementation, governance, and enterprise architecture squads to apply the appropriate standards., • Keep abreast of the latest vendors across different areas of emerging technologies and actively participate in vendor evaluations and tool assessments for relevant use cases. Where appropriate, onboard the right solutions into the platform., • Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch business, • Develop and deploy machine learning and gen AI solutions to meet enterprise goals and support experimentation and innovation., • Collaborate with data scientists to identify innovative machine learning and Gen AI solutions that leverage data to meet business goals., • Designs and develops scalable solutions and GenAI and ML workflows that leverage machine learning, gen AI and deep learning models to meet enterprise requirements., • Actively participate in maintaining SLAs for Production applications and support. Create metrics to continuously evaluate the performance of machine learning solutions and improve the performance of existing machine learning solutions, • Build with AWS and Azure cloud computing services providing the necessary infrastructure, resources, and interfaces to enable data loading and LLM workflows., • Use Python/Java and large-scale data workflow orchestration platforms e.g. Airflow to construct software artifacts for ETL, interfacing with diverse data formats and storage technologies, and incorporate them into robust data workflows and dynamic systems What You Need to Have: • Work experience as a ML or AI engineer (5+ years), • Prior experience developing production quality Python is essential, • Deep understanding of Agentic AI systems and multi-agent architectures, • Proficiency in machine learning and and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines,, • Strong adherence to software and ML development fundamentals (e.g. code quality considerations, automated testing, source version control, optimization), • Prior experience working on building Gen AI frameworks and leveraging and/or finetuning LLM’s., • Experience building/enhancing search and information retrieval systems, • Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc., • Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock,AWS S3, AWS Sagemaker, Azure AI search, Azure OpenAI, Azure blob storage etc., • Master's degree or above in Machine learning/data science, computer science, applied mathematics or otherwise research-based field What Would Make You Stand Out: • Passionate about the power of data and predictive analytics to drive better business outcomes for customers, • Proven ability to work effectively in a distributed working environment and ability to work efficiently and productively in a fast-paced environment, • Familiarity with credit ratings agencies, regulations, and data products around the world, • Outstanding written and verbal communication skills, • A champion of good code quality and architectural practices., • Strong interpersonal skills and ability to work proactively and as a team player Why Fitch? At Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network of colleagues comes together to accomplish things greater than they ever could alone. Every team member is essential to our business and each perspective is critical to our success. We embrace a diverse culture that encourages a free exchange of ideas, guaranteeing your voice will be heard and your work will have an impact, regardless of seniority. We are building incredible things at Fitch and we invite you to join us on our journey. For more information please visit our websites: | | | Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch’s credibility and reputation, our employees must take every precaution to avoid conflicts of interests or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work. Fitch Group is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law. #LI-KN1 #LI-GROUP #LI-HYBRID

Solirius Reply, part of the Reply Group, is a technology consultancy and digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and delivery. We work closely with our clients to deliver secure, accessible, user-focused services that evolve with their needs. By combining deep technical expertise with people-centred design, we create solutions that deliver meaningful, lasting impact. Our consultants partner directly with client teams, embedding into organisations to understand their goals, challenges, and users. This collaborative approach enables us to deliver tailored solutions that drive measurable outcomes across public and private sectors. Past and present clients include the Ministry of Justice, Department for Education, Ministry of Housing, Communities and Local Government, UEFA, International Olympic Committee, and Mercedes-Benz. Our services span the full digital delivery lifecycle, including architecture, engineering, delivery management, user-centred design, business analysis, data, DevOps, and AI. We operate as a collaborative and inclusive organisation that empowers our people to take ownership, innovate, and develop their expertise. As an equal opportunities employer, we are committed to encouraging equality, diversity, and social mobility, while creating opportunities for our teams to work on meaningful projects that deliver lasting impact. You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you’re comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. We are seeking an AI Data Scientist to help build intelligent, data-driven products. You will design, develop, and deploy machine learning models, working across data engineering and analytics to solve complex business problems. You’ll collaborate with product, engineering, and business teams to transform data into actionable insights and high-impact AI solutions. • Design, develop, and deploy machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems)., • Explore, cleanse, and transform large structured and unstructured datasets, • Conduct statistical analysis, experiment design, feature engineering, and model evaluation., • Build scalable data pipelines and automate model training and inference processes., • Collaborate with engineering teams to integrate models into production systems., • Monitor model performance, detect drift, and implement continuous improvement strategies., • Communicate complex findings clearly to both technical and non-technical stakeholders., • Stay current with advancements in AI/ML (LLMs, generative AI, reinforcement learning) and evaluate their potential impact on products., • Experience in machine learning, data science, or applied AI roles., • Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch)., • Strong understanding of statistics, ML algorithms, and model evaluation techniques., • Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines., • Ability to analyse large datasets and communicate insights effectively., • Experience with LLMs, generative AI, and prompt engineering., • Knowledge of MLOps tools and frameworks (MLflow, Kubeflow, Airflow)., • Familiarity with SQL, NoSQL, and distributed data technologies., • Experience deploying AI models in production environments., • Publications, patents, or open-source contributions in ML/AI., • Competitive Salary, • Bonus Scheme, • Private Healthcare Insurance, • 25 Days Annual Leave + Bank Holidays, • Up to 10 days allocated for development training per year, • Enhanced Parental Leave, • Paid Fertility Leave (5 Days), • Contributory Pension, • EAP with Help@Hand, • Gym Membership Benefits, • Flexible Benefits Allowance, • Cycle to Work and Electric Vehicle schemes, • Flexible Working, • Annual Away Days/Company Socials As an equal opportunities employer, we are committed to creating a work environment that supports, celebrates, encourages and respects all individuals, where all processes are based on merit, competence and business needs. Encouraging high social mobility is really important to us. We foster an inclusive culture by welcoming different perspectives, enabling equitable opportunities and promoting open dialogue. This commitment is reflected in initiatives such as our gender diversity group and our focus on mental health and wellbeing. Whatever stage you are at, you will find an environment where you can thrive. Should you require further assistance or require any reasonable adjustments to be put in place to better support your application process, please do not hesitate to raise this with us. As a Disability Confident employer, we are committed to ensuring our recruitment process is accessible and inclusive, enabling all candidates to demonstrate their skills, experience and potential. #J-18808-Ljbffr

Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel‑winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases. We have built a world‑leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting‑edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI. We are looking for Research Engineers with different levels of experience—from Mid through to Senior, Staff, Principal or equivalent levels. This is an exciting opportunity for you to contribute to frontier research at the intersection of AI and drug design. Working in a highly creative, iterative environment, you will partner with scientists and engineers to advance foundational models that will transform the biopharmaceutical world as we know it. You will draw upon your existing engineering and machine‑learning experience while learning from those around you, applying novel techniques and ideas to newly encountered computational biology and chemistry problems. Translate research concepts into practical implementations by developing and optimising state‑of‑the‑art AI models, and building and maintaining robust codebases, data pipelines, and infrastructure for training and evaluation. Design, implement, and run experiments to evaluate the performance and robustness of ML models, using a full spectrum of state‑of‑the‑art machine‑learning methods. Evaluate, tune, and maintain AI/ML models (which includes collecting and preparing data as needed). • Implement algorithms and software to analyse and evaluate the performance of AI models., • Optimise performance of AI/ML models such as Diffusion models, Transformers, GNNs, leveraging a deep understanding of the AI/ML hardware+software stack., • Advise on how to bring AI/ML models to production and/or integrate them into product offerings, and monitor and refine their behavior., • Develop specialised tools/frameworks/infrastructure to aid in the work above. Work closely with research scientists and engineers, contributing to team discussions, sharing knowledge, and actively participating in code reviews to foster a collaborative environment. Proactively identify and address technical challenges, stay updated on the latest AI advancements, and focus on developing solutions that enable scaling our wider foundation and applied model platforms. Execute on independent engineering projects and software development toward research goals. • PhD in a technical subject with major engineering component and exposure to AI/ML, or BSc, MSc and 2+ years of specific experience working on ML model development., • Strong general engineering experience, as evidenced by exposure to one or more of:, • Software design / algorithms, especially for deep learning frameworks, • Modern ML frameworks such as JAX, PyTorch or TensorFlow, • Distributed systems and runtimes, • Compilers (e.g., XLA, Triton, CUDA, Pallas, …), • Large‑scale model training and serving infrastructure, • Experience in navigating complex research codebases, • Databases and data processing pipelines, • Numerical methods, simulation, optimisation, • Strong fundamentals in mathematics, statistics, linear algebra, • Experience with the full ML research and development lifecycle., • Strong understanding of ML theory and applications., • Strong understanding of data structures and algorithms., • Interest in chemistry and biology., • Experience working with biomedical data., • Knowledge of the pharmaceutical industry, ideally with a focus on drug discovery. We are guided by our shared values. It’s not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it. • Thoughtful – Curiosity, creativity and care. It is about good people doing good, rigorous and future‑making science every single day., • Brave – Fearlessness, but also initiative and integrity. The scale of the challenge demands nothing less., • Determined – Confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we., • Together – Connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere., • Creating An Extraordinary Company – We believe that to be successful we need a team with a range of skills and talents. We’re building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact. It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. #J-18808-Ljbffr

At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive. Your Role As a Forward Deployed Lead / Principal Engineer (FDE) with an AI & Agentic Engineering focus (Band 9), you own the technical direction and delivery of major enterprise AI programmes - architecting the agentic systems and generative AI applications that go into production in close collaboration with platform engineering. You align enterprise goals with target-state AI architectures for senior stakeholders, guide the team’s technical direction while staying close to the work, and work hand-in-hand with the platform engineers on the team throughout design, build, and deployment. You combine deep expertise in agentic AI systems, RAG, and applied software engineering with strong consulting acumen. You establish AI governance frameworks, champion sound engineering practice across the AI delivery lifecycle, and act as a go-to technical reference on complex engagements. • Design and build agentic AI applications and multi-agent workflows, along with the frameworks that run them, for enterprise use cases, • Build RAG pipelines and integrate LLM APIs, vector databases, and MCP (Model Context Protocol) tooling, • Process unstructured data into condensed, structured knowledge, including ontology extraction, • Write production‑grade Python services (FastAPI) with solid engineering practices: design, testing, code review, CI/CD, • Work with relational and graph databases (e.g. Postgres, Neo4j) to model and serve data behind AI applications, • Work closely with platform engineering throughout deployment - hosting, scaling, and MLOps/LLMOps - without owning that infrastructure yourself, • Define AI governance and responsible-use guardrails: data privacy boundaries, LLM governance, and policy enforcement (OPA/Rego), • Instrument AI applications for observability (OpenTelemetry, Prometheus) so behaviour and cost stay visible in production, • Translate enterprise requirements into AI solution roadmaps for senior stakeholders, • Capture field learnings, codify reusable agentic patterns, and mentor engineers hands‑on, • Provide architectural oversight across multi-disciplinary workstreams, staying close enough to unblock the team directly You don’t need to tick every box below to apply — this reflects the breadth of the role, not a strict checklist. • 8–10+ years in software or solution engineering, with a track record of shipping AI systems in client‑facing engagements, • Strong Python engineering (FastAPI), with solid SDLC practices: design, testing, code review, CI/CD, Git & GitHub, • Hands‑on experience with agentic AI frameworks (examples include LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI’s Agents SDK, and Google’s Agent Development Kit) and MCP (Model Context Protocol), • Practical experience building RAG/LLM‑based pipelines and working with vector databases, • Experience with relational and graph databases (e.g. Postgres, Neo4j) for data modelling behind AI applications, • Hands‑on familiarity with modern AI coding copilots (e.g. Claude, Codex, Cursor), • Strong stakeholder communication, translating AI capability into business outcomes for senior stakeholders, • Willingness to travel and work on customer premises as required, • Degree in Computer Science, Data Science, Informatics, Engineering, Physics, Mathematics, or a related discipline — or equivalent professional experience, • Familiarity with observability instrumentation for AI systems (OpenTelemetry, Prometheus), • Experience with AI/ML frameworks (TensorFlow, PyTorch) and the Hugging Face / open‑source AI ecosystem, • Experience with image understanding and OCR, • Working knowledge of policy‑as‑code (OPA/Rego) for AI governance and guardrails, • Understanding of LLM governance: data privacy, guardrails, and responsible‑use controls, • T‑shaped profile: deep expertise in AI engineering, broad understanding across software engineering and technical consulting We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers. That’s The Kyndryl Way. Our dynamic, hybrid‑friendly culture supports your well‑being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best. From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute—you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth. We’ll champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve. You’ll develop in‑demand skills to grow your career and achieve your ambitions with access to cutting‑edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands‑on experiences. And through it all, you’ll be part of a culture that values empathy, restless learning, and a devotion to shared success. We want you to thrive here—and we’re committed to helping you do just that. At Kyndryl, we achieve progress the world depends on, with purpose. Beginning with the purpose that matters to you. Because here, you will be part of a culture designed with purpose. One that is restless, empathetic and devoted. Where we are committed to sustainable progress for our customers and supporting the communities where we work and live. All of you is what we want. And what we need. Join us, and together, we can advance the vital systems that power human progress. #J-18808-Ljbffr

Applicants for the position of Assistant Professor should have the potential to publish innovative, rigorous, and relevant contributions in top academic journals and to develop into excellent teachers. Candidates for an Associate or Full Professor position should demonstrate considerable excellence in research, teaching and service. The appointed candidates will be encouraged to proactively engage in research grant applications; Imperial’s strategy “Science for Humanity” provides significant opportunities for interdisciplinary research. As with most business schools, most of the department’s teaching focuses on applied economics, management and analytics modules. The first students on our innovative undergraduate degree in Economics, Finance and Data Science finished their studies this summer; our MSc programmes include Economics and Strategy for Business and an interdisciplinary degree in Climate Change, Management and Finance. Our interdisciplinary MSc in AI, Economics and Policy, taught jointly with the Department of Computing, will admit its first students in September 2027. Applications from women, BAME and other groups who are currently underrepresented in the School are especially welcome. Reasonable adjustments will be made at each stage of the recruitment process for neurodiversity and disability associated needs. The initial interviews will be conducted virtually in December, and fly‑outs will be in January/February. You will contribute to Imperial’s mission as a leading research-intensive university, developing your own range of research and teaching on our degree programmes. You are encouraged to develop research collaborations within and outside Imperial, and we provide travel funding to facilitate this. You will share in the administrative tasks of running the department and the Business School, to an extent appropriate to your career stage. • You will have a PhD in Economics or a related field, or (for an assistant professor) expect to have one before taking up the post, • You will be able to demonstrate capability for high-quality innovative research in your area, with a strong research agenda and pipeline. Applicants for associate or full professor should be developing or established international reputation for their research (commensurate with career stage)., • You will have experience (appropriate to your level) in teaching economics to university students. Full information on duties, responsibilities and criteria can be found in the attached Job Description. • The opportunity to continue your career at a world‑leading institution and be part of our mission to use science for humanity., • Grow in your career with tailored training programmes for academic staff including dedicated support with navigating your career and managing research as well as a transparent promotion process., • Sector‑leading salary and remuneration package (including 43 days off a year including public holiday and generous pension schemes)., • Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources designed to support your personal and professional wellbeing . These are full‑time posts. Associate and Full Professors are offered permanent contracts. Assistant Professors will be offered a seven‑year fixed term contract and will be expected to apply for promotion to Associate Professor during their sixth year. Those who are promoted to Associate Professor will receive a permanent contract. If you require any further details on the role, please contact: Professor Richard Green – Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above. Attached documents are available under links. Clicking a document link will initialize its download. We reserve the right to close the advert before the stated closing date, should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment. Welcome to Imperial, a global top‑ten university where scientific imagination leads to world‑changing impact. Join us and be part of something bigger. From global health to climate change, AI to business leadership, here at Imperial we navigate some of the world’s toughest challenges. Whatever your role, your contribution will have a lasting impact. As a member of our vibrant community of 22,000 students and 8,000 staff, you’ll collaborate with passionate minds across nine London campuses and a global network. This is your chance to help shape the future. We hope you’ll join us at Imperial College London. We work towards equality of opportunity, to eliminating discrimination, and to creating an inclusive working environment for all. We encourage applications from all backgrounds, communities and industries, and are committed to employing a team that has diverse skills, experiences and abilities. You can read more about our commitment on our web pages . Proud signatory of the Armed Forces Covenant. We welcome applications from the Armed Forces community. Our values are at the root of everything we do, and everyone in our community is expected to demonstrate respect, collaboration, excellence, integrity, and innovation. #J-18808-Ljbffr

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you’ll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life‑saving drug proteins. Daily data‑driven experiments will provide key insights around model strengths and inefficiencies which you’ll use to improve your product’s performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! • Own, plan, and optimize the AI behind our Enterprise customer’s deepest technical problems, • Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool‑calling, and more, • Have experience gathering business requirements and translating them into technical solutions, • Meet regularly with customer teams onsite and virtually, collaborating cross‑functionally with all teams responsible for their data and ML needs, • Push production code in multiple development environments, writing and debugging code directly in both our customer’s and Scale’s codebases, • Be able and willing to multi‑task and learn new technologies quickly, • A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client’s business goals, • Strong engineering background: a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background., • Deep familiarity with a data‑driven approach when iterating on machine learning models and how changes in datasets can influence model results, • Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment, • Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas), • Strong knowledge of software engineering best practices, • Have built applications taking advantage of Generative AI in real, production use cases, • Familiarity with state of the art LLMs and their strengths/weaknesses PLEASE NOTE: Our policy requires a 90‑day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. At Scale, our mission is to develop reliable AI systems for the world’s most important decisions. Our products provide the high‑quality data and full‑stack technologies that power the world’s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information. #J-18808-Ljbffr

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Mistral AI is seeking Applied Scientists and Research Engineers to drive innovative research and collaborate with clients on complex research projects. You will develop SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions that turn the needle. We are made of researchers, engineers, product builders, ex-founders who love tackling the most complex real world problems in the industry. Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. Work across a diverse set of complex real world problems such as robotics, engineering, finance, cybersecurity, physics and more. Generate and curate data for pre-training and post-training, working on evaluations and making sure the model's performance beats expectations. Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment. Collaborate with cross-functional teams to tackle complex use cases using agents and retrieval pipelines. Manage research projects and communications with client research teams. Fluent in English with excellent communication skills — at ease explaining complex technical concepts to both technical and non-technical audiences. Expert with PyTorch or JAX. Not afraid of contributing to a big codebase; finds their way around independently with little guidance. Writes clean, readable, high-performance, fault-tolerant Python code. Doesn’t need roadmaps: moves independently and navigates uncertainty with confidence. Low-ego, collaborative and eager to learn. Track record of success through personal projects, professional projects or academia. Ex-founder or builder PhD / Master in a relevant field (Mathematics, Physics, Machine Learning) — exceptional candidates from other backgrounds welcome. Research experience in agents, multimodal models, world models, robotics, diffusion models, cybersecurity, 3D understanding/generation, or time-series analysis. Experience working on large code bases or large machine learning models at scale. Contributions to a large open-source or industry codebase. Publications in top academic journals or conferences. Enjoys improving existing code: typing, tests, CI pipelines. We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page. Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy. #J-18808-Ljbffr

Elsevier's mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics. This role sits within Elsevier's Platform Data Science organization, a centralized AI and data science group responsible for advancing intelligent discovery, retrieval, and generative AI capabilities across Elsevier products and platforms. The organization develops foundational AI technologies that power experiences such as LeapSpace, Elsevier's AI-powered research assistant, as well as Elsevier's broader Search and AI Platform. • Develop and improve LLM-powered research workflows, including:Scientific question answeringLiterature summarizationSemantic exploration and discoveryResearch insight generationCitation-aware retrieval and reasoning workflows, • Build and iterate on agentic and multi-step AI workflows using frameworks such as LangGraph and related orchestration tools., • Apply modern techniques in:NLPGenerative AIEmbeddings and semantic representationsRetrieval-augmented generation (RAG)AI reasoning and workflow orchestration, • Evaluate emerging AI models, tools, and frameworks and contribute recommendations for experimentation and adoption., • Contribute to prompt engineering, grounding strategies, context management, and hallucination mitigation efforts., • Support integration of scientific metadata, ontologies, and knowledge assets into AI-powered workflows., • Design, develop, and optimize search and retrieval pipelines, including lexical, vector, and hybrid retrieval approaches., • Contribute to the development and enhancement of RAG systems that integrate LLMs with trusted scientific and biomedical content., • Experiment with embeddings, re-ranking models, chunking strategies, and retrieval orchestration techniques to improve relevance and answer quality., • Support development of semantic search, ranking, and knowledge discovery capabilities., • Collaborate with engineering teams to deploy and scale AI-powered solutions., • Develop and apply evaluation frameworks for search and AI systems, including:IR metrics (e.g., NDCG, recall, precision)LLM and RAG evaluation metrics (e.g., grounding, faithfulness, hallucination detection), • Build and maintain evaluation datasets, benchmark suites, and annotation workflows., • Conduct offline experiments and contribute to online experimentation and A/B testing., • Analyze experimental results and communicate findings to stakeholders., • Contribute to responsible AI practices focused on quality, reliability, and trust., • Partner with product managers, engineers, UX researchers, and domain experts to deliver AI-powered capabilities., • Communicate technical findings and recommendations clearly to both technical and non-technical audiences., • Contribute to knowledge sharing and adoption of best practices across the Platform Data Science organization., • Support delivery of projects from research and experimentation through production deployment., • Master's or PhD in Computer Science, Data Science, Machine Learning, NLP, Information Retrieval, or a related field, • Experience in data science, machine learning, applied NLP, information retrieval, generative AI, or a related field, • Hands-on experience with:LLM-based applications and generative AI systemsRAG pipelines and retrieval systemsSearch and retrieval architectures (lexical, vector, hybrid)Evaluation methodologies for IR and generative AI systems, • Strong programming skills in Python, • Experience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack), • Experience working with Databricks or similar distributed data and machine learning platforms, • Understanding of experimentation methodologies, evaluation frameworks, and statistical analysis, • Proficiency with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn), • Demonstrated ability to independently execute technical projects and contribute to cross-functional initiatives, • Experience building AI assistants, agentic workflows, or conversational AI applications, • Experience working on search, ranking, recommendation, or retrieval systems, • Familiarity with scientific, biomedical, or scholarly datasets, • Experience with knowledge graphs, ontologies, or semantic enrichment systems, • Exposure to production ML systems and MLOps practices, • Academic or industry research experience in NLP, information retrieval, search, or generative AI, • Experience working in content-rich, knowledge-intensive, or highly regulated domains We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: • Comprehensive Pension Plan, • Home, office, or commuting allowance., • Generous vacation entitlement and option for sabbatical leave, • Maternity, Paternity, Adoption and Family Care leave, • Flexible working hours, • Personal Choice budget, • Internal communities and networks, • Various employee discounts, • Recruitment introduction reward, • Employee Assistance Program (global) As a global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. #J-18808-Ljbffr

Odyssey is an AI lab pioneering general world models: causal, multimodal systems that learn to predict and interact with the world over long horizons. This foundational technology promises to revolutionize robotics, science, healthcare, education, gaming, defense, and beyond. Odyssey’s founders previously pioneered the most complex application of physical AI: self-driving cars. They’ve now brought together a world-class research team from DeepMind, Tesla, Waymo, Meta, Apple, and Wayve, who have made significant contributions to language models (DeepMind Gemini), video models (DeepMind Veo), world models (Wayve GAIA), and autonomous systems (Tesla FSD). Odyssey has raised significant venture capital from GV, Amazon, AMD, EQT, NVIDIA, Natural Capital, In-Q-Tel, Elad Gil, Jeff Dean, Guillermo Rauch, Garry Tan, Kyle Vogt, and researchers from OpenAI, DeepMind, MSL, Recursive, and Thinking Machines. Odyssey is hiring a VP of Research to lead and grow our Frontier Research group, the researchers working at the cutting edge of world model capability, responsible for the first proof points of new algorithms and for pushing the frontier of what world models can do. This is a role for someone who wants to both set the research agenda and stay close enough to shape it directly, not manage from a distance.You'll report directly to Jeff Hawke, our Co-Founder and CTO, and work alongside Odyssey’s leaders. Leading and growing the Frontier Research group, hiring, mentoring, and developing researchers at every level. Owning and driving Odyssey's research agenda across world simulation, multimodality, robotics, and multi-agent learning. Defining and communicating a research vision ambitious enough to position Odyssey as the leading voice in world models, one that attracts top talent to the field and to us specifically. Setting the research roadmap and publication strategy, and representing Odyssey's research externally to the broader community. Collaboration across disciplines with other VP-level leaders, driving forward Odyssey’s holistic top-level strategy. 10+ years of research experience with a strong publication record at top ML venues (NeurIPS, ICML, ICLR, CVPR, and similar). Deep technical expertise in at least one of generative video models, world models, multimodal learning, reinforcement learning, or robotics. A track record of leading and growing research teams, including mentoring researchers at all levels, not just senior hires. Demonstrated ability to set a research vision that shapes a field and pulls talent toward it. Comfortable in a fast-paced, high-ambiguity environment; startup experience preferred. Equally comfortable partnering with Foundation Models, ML Platform, and Applied AI as with your own researchers. Willing to be in the office 3+ days a week, ideally full-time, based in London. Genuinely motivated by Odyssey's mission to discover the GPT-3 moment for world models, not just intellectually curious about it. Find more English Speaking Jobs in United Kingdom on Arbeitnow #J-18808-Ljbffr

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Markets Research Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. You will work on challenging Cloud-native data, backend engineering and AIML engineering, helping usindustrialize AI/ML models at Production scale. This role is a technical hands-on Engineering role. Experience with data science/ML modeling is advantageous but not essential to this role. • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems, • Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain., • Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale., • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems, • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development, • Builds engineering stack required for Data and AIML products, including data engineering, backend engineering, Cloud infra DevOps and MLOps, • Designs and implements data engineering solutions, leveraging modern big data technologies, • Contributes to software engineering communities of practice and events that explore new and emerging technologies, • Embraces a passion for learning, problem-solving, creative thinking and a can-do attitude., • Formal training or certification on software engineering concepts and proficient applied experience, • Hands-on practical experience in system design, application development, testing, and operational stability, • Proficient in coding in one or more languages- Python, • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages, • Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security, • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls., • Proven track record in system design, architecting and developing microservices, distributed systems and data-intensive applications, • Experience with Cloud services, Infrastructure as Code, containerized application development, big data and modern data engineering technologies, • Practical experience developing Production-scale Cloud-native data engineering solutions in commercial environments, • Familiarity with Cloud Data engineering services (e.g., ETL, Glue, S3, Athena) and MLOps stack, • Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds and Overall knowledge of the Software Development Life Cycle, • Experience with data, AWS and AIML engineering in commercial settings, preferably in financial sector, • Experience working on LLM applications or other AI/ML systems, • Practical experience with Kubernetes, EKS, Docker, MLOps, • Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases, • Prior experience collaborating with data scientists J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team #J-18808-Ljbffr

Are you ready to make an impact at the intersection of finance and technology? At JPMorgan Chase, you’ll help drive innovation in investment decision-making and client engagement. You’ll work with advanced analytics, enterprise data platforms, and generative AI solutions that power our global business. We offer career growth, mobility, and the opportunity to collaborate with talented professionals across the firm. Your skills will help us deliver secure, scalable, and measurable solutions for our clients. As an Applied AI & Machine Learning Senior Associate in the Asset Management Data Science Team, you will build the technical foundation for intelligent investor tools. You will design context-management capabilities, develop LLM-powered applications, and create reliable pipelines for enterprise and investment data. You will partner with investment, data science, engineering, product, and control teams to turn complex financial workflows into secure, scalable solutions. You will join a small, globally connected team with the resources and impact of one of the world’s largest financial institutions. • Design and implement scalable architecture for LLM-powered investment tools, ensuring integration, governance, observability, and access control, • Build and scale AI applications and automated workflows using models, retrieval, and tools, with orchestration for state management and human oversight, • Develop context-management and retrieval-augmented generation (RAG) capabilities, including ingestion, chunking, metadata, embeddings, hybrid search, reranking, and grounded outputs, • Create reliable data and knowledge pipelines that transform enterprise content into high-quality inputs for AI applications, • Establish engineering standards for reusable tools and model integrations, including interfaces, permissions, testing, failure handling, and documentation, • Implement evaluation and end-to-end observability for AI systems, optimizing for quality, groundedness, task completion, latency, token usage, cost, reliability, and business impact, • Partner with portfolio managers and research teams to understand investment processes and translate them into practical solutions, • Hold a Master’s degree or PhD in computer science, statistics, mathematics, engineering, econometrics, or a quantitative field, • Demonstrate a strong foundation in statistics, probability, experimental design, and machine learning, with sound judgment in method selection and interpretation, • Possess hands‑on experience building, deploying, and scaling LLM-powered applications, including retrieval, tool use, workflow orchestration, state management, structured outputs, and evaluation, using frameworks such as LangGraph, Semantic Kernel, LlamaIndex, or equivalent, • Apply practical knowledge of prompt and context design, embeddings, vector and keyword search, reranking, model selection, and optimization for quality, latency, and cost, • Exhibit strong Python and SQL skills, with experience using common data and machine learning libraries and frameworks, • Show numerical intuition and understanding of financial markets, investment research, portfolio construction, risk, performance, and investment data, • Translate ambiguous business requirements into scalable technical solutions and communicate technical trade-offs to stakeholders, • Deliver generative AI or machine learning solutions in a regulated enterprise environment, • Bring front-office or buy-side experience, especially in investment research, portfolio analytics, performance attribution, or decision analytics, • Incorporate unstructured or alternative data into research and production workflows, • Demonstrate familiarity with Model Context Protocol (MCP) or comparable standards for securely connecting AI applications to enterprise data, tools, and services, • Apply experience with LLM observability and evaluation standards or platforms such as OpenTelemetry, OpenInference, Arize Phoenix, LangSmith, or equivalent, including traces across model, retrieval, and tool-execution steps, • Show familiarity with knowledge graphs, multimodal models, fine-tuning, synthetic data, or advanced model-evaluation techniques, • Apply experience with time-series analysis, forecasting, and quantitative research, • Hold or be progressing toward the CFA designation J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. Join a globally connected team to build AI-powered investor tools and shape the future of intelligent investment solutions. #J-18808-Ljbffr

Bristol, London or Cambridge, UK Help scale state-of-the art AI models across thousands of accelerators. As a Senior Machine Learning Engineer in the Applied AI team, you will contribute to advancing AI technology by developing and optimising new and existing AI models for our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Having visibility of the entire pipeline from novel accelerator hardware to state-of-the‑art AI applications, and the software stack in‑between, you will play a critical role in identifying opportunities to innovate and differentiate the company’s technology. Furthermore, you’ll work closely with researchers in a rapidly‑evolving field, where even the most senior engineers are constantly learning and adapting to exciting new challenges. We seek engineers with strong technical foundations who are curious and eager to understand and advance AI model implementation, at scale. We currently have multiple opportunities available in the team at Senior, Staff and Principal level and offer flexibility through a hybrid working model, from any of our UK offices. If you're excited about advancing the next generation of AI models on cutting‑edge hardware, we’d love to hear from you! The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software, as well as our own hardware and software stack, to ensure that the company’s technology works seamlessly with the AI ecosystem and at scale. Our work spans from low-level kernel development and optimisation for novel hardware through to implementing and scaling research-level algorithms for the latest AI models. We collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications. • Implement and train state-of-the‑art machine learning models and optimise for performance, accuracy and scalability across systems comprising 1000s of accelerators., • Benchmark and profile ML models to identify performance bottlenecks., • Develop deep understanding across the software stack in order to optimise kernel implementations., • Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews., • Design and conduct experiments on novel AI methods and evaluate results., • Collaborate with Research, Software, and Product teams to define, build, and test the company’s next generation of AI hardware., • Engage with AI community and keep in touch with the latest developments in AI., • Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field., • Proficiency in deep learning frameworks like PyTorch/JAX., • Strong Python or C++ software development skills., • Expertise in hardware‑accelerated deep learning from model training to optimisation and evaluation., • Capable of designing, executing and reporting from ML experiments., • Well‑developed understanding of performance bottlenecks and how to overcome them., • Ability to move quickly in a fast‑moving field., • Enjoy cross‑functional work collaborating with other teams., • Strong communicator - able to explain complex technical concepts to different audiences., • Experience in one or more of:, • MLOps for Kubernetes‑based clusters, • Building production systems with large language models, • Efficient computing based on low‑precision arithmetic., • Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models., • Experience in distributed training or inference of ML models across 64+ accelerators., • Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies, and cloud computing platforms., • Have contributed to open‑source projects or published research papers in relevant fields., • Keen to present, publish and deliver talks in the AI community., • Flexible working: Balance your work and personal life with greater flexibility, • Generous leave: Take time to rest, recharge and enjoy life outside of work, • Retirement planning support: Up to 5% matched pension, • Phantom equity: Share in the company’s success, • Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and drinks to support your day, • Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones, • Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice, • Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover, • Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. Join the Team at the company the company is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, the company is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Intelligence and ensure its benefits are accessible to everyone. the company’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, the company brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship for this role. #J-18808-Ljbffr

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn't just the Best Place to Play - it's also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we're part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. As a Senior / Staff Data Scientist, you will help shape how PlayStation measures the impact of products, features and commercial initiatives through world-class experimentation, causal inference and applied data science. Working at the intersection of data science, machine learning, product and commercial strategy, you will develop innovative measurement methodologies, define best practices, and provide technical leadership that enables teams across PlayStation to make faster, more confident business decisions. This role goes beyond traditional A/B testing. You will solve complex measurement problems where controlled experiments are difficult or impossible, applying modern causal inference, statistical modelling and machine learning techniques to generate robust business insights. You will collaborate closely with product, engineering, analytics and business teams to raise the standard of experimentation and evidence-based decision-making across the organisation. This is an opportunity to influence strategic decisions impacting millions of PlayStation players while helping establish best-in-class measurement practices across one of the world's leading entertainment companies. • Develop innovative measurement methodologies across experimentation, causal inference and advanced analytics that improve the quality, reliability and scalability of business decision-making across PlayStation., • Design robust measurement approaches across randomised experiments, quasi-experimental methods and observational causal inference where controlled experimentation is impractical., • Research, evaluate and prototype statistical, machine learning and AI techniques to solve complex real-world measurement challenges., • Apply advanced data science and machine learning techniques where appropriate to complement experimentation and support complex business decisions., • Define and promote best practices for experiment design, statistical analysis and causal measurement across multiple product and business teams, helping scale experimentation across PlayStation., • Partner closely with senior business leaders, product managers, engineers and analysts to identify high-impact measurement opportunities and ensure product and commercial decisions are supported by rigorous evidence., • Partner with engineering teams to influence the evolution of PlayStation's experimentation platform and measurement capabilities, ensuring statistical best practices are embedded into future platform development., • Provide technical leadership across multiple product and commercial domains, influencing measurement strategy, analytical standards and long-term technical direction through expertise and collaboration., • Mentor and develop analysts and data scientists, helping raise technical capability and analytical excellence across the team., • Champion a culture of evidence-based decision‑making by educating stakeholders, sharing best practices, and communicating advances in experimentation, causal inference and applied data science., • Stay current with emerging developments in statistics, machine learning and AI, identifying opportunities to improve measurement capabilities and analytical workflows., • Represent the team across PlayStation, building strong partnerships, engaging senior stakeholders and promoting technical excellence in data science and experimentation., • Master's degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline. PhD preferred., • Strong industry experience (5+ years) applying experimentation, causal inference, statistical modelling and measurement science to solve complex business problems., • Deep expertise in experimental design, A/B testing and modern causal inference methods, including quasi-experimental approaches., • Experience applying advanced data science, machine learning and statistical modelling techniques to solve complex business problems., • Expert-level proficiency in Python and SQL for large-scale analytical workflows., • Experience developing reusable analytical methodologies, frameworks or libraries that improve measurement quality and consistency across teams., • Demonstrated ability to influence technical direction, promote best practices and drive adoption through collaboration, technical leadership and senior stakeholder engagement., • Strong stakeholder management, executive communication and influencing skills, with the ability to translate complex analytical concepts into clear business recommendations for both technical and non‑technical audiences., • Curiosity, creativity and a pragmatic approach to solving ambiguous, high‑impact business problems., • Experience working in gaming, digital products, consumer technology, e‑commerce or subscription businesses., • Familiarity with modern data engineering and analytics tooling such as Databricks, Snowflake, Git and Airflow., • Experience with modern business intelligence and data visualisation tools such as Tableau, Domo or Power BI., • Experience applying AI tools, including large language models (LLMs), to improve data science workflows and analytical productivity., • Demonstrated technical leadership through mentoring, publications, conference presentations, open‑source contributions or internal communities of practice., • Measurement strategy for PlayStation's largest product and commercial initiatives., • Experimentation best practices adopted across multiple business functions., • Strategic product and commercial decisions through rigorous causal evidence., • The evolution of PlayStation's measurement and experimentation capabilities., • Technical excellence in experimentation, causal inference and applied data science across the organisation., • Shape how PlayStation measures product and commercial success across a global business., • Influence strategic decisions affecting millions of players worldwide., • Solve challenging real-world problems using cutting‑edge experimentation, causal inference and machine learning techniques., • Collaborate with talented scientists, engineers and product leaders on high‑impact initiatives., • Drive the adoption of best practices in experimentation and evidence‑based decision‑making across PlayStation., • Continue developing your technical expertise while mentoring and growing others., • Discretionary bonus opportunity, • Hybrid Working (FlexModes), • Private Medical Insurance, • Dental Scheme, • 25 days annual leave, • On‑site gym, • Subsidised café, • Complimentary soft drinks, • On‑site bar, • Secure cycle storage and shower facilities Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment. #J-18808-Ljbffr

LONDON, LONDON, United Kingdom • Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB, • Job Schedule Full time If you are looking for a game-changing career, working for one of the world's leading financial institutions, you’ve come to the right place. As a Sr. Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank Compute Runtime Platforms, you will play a crucial role in providing expertise and engineering excellence as part of an agile team. Your responsibilities include enhancing, building, and delivering trusted market-leading technology products in a secure, stable, and scalable manner. You will leverage your advanced technical skills and collaborate with colleagues across the organization to achieve best-in-class outcomes across various technologies, supporting one or more of the firm’s portfolios. Job Responsibilities: • Design, implement, and optimize distributed computing solutions in HPC, K8s and Cloud environments., • Leverage Generative AI and AI tooling to enhance the monitoring, management, and optimization of large compute environments., • Collaborate with cross-functional teams to improve system performance and efficiency., • Develop and maintain software solutions using Python, C++; and Go., • Deploy and manage applications using Kubernetes (K8s) and HPC/Grid Computing/Big Data technologies such as Slurm, LSF, Spark, Ray and Symphony in cloud environments. Required Qualifications, Capabilities, And Skills • Formal training or certification on Software Engineering concepts and 5+ years applied experience., • Expertise in C++, Python, Kubernetes (K8s), and HPC/Grid Computing technologies (Slurm, LSF, Symphony), GenAI, agent framework and tools, observability tooling such as OTel, • Proven experience with cloud technologies and environments, • Strong problem-solving skills and the ability to work collaboratively in a team setting., • Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred Qualifications, Skills, and Capabilities: • AWS hands-on experiences is a plus. J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. #J-18808-Ljbffr

At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive. At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive. As a Forward Deployed Lead / Principal Engineer (FDE) with an AI & Agentic Engineering focus (Band 9), you own the technical direction and delivery of major enterprise AI programmes — architecting the agentic systems and generative AI applications that go into production in close collaboration with platform engineering. You align enterprise goals with target-state AI architectures for senior stakeholders, guide the team’s technical direction while staying close to the work, and work hand-in-hand with the platform engineers on the team throughout design, build, and deployment. You combine deep expertise in agentic AI systems, RAG, and applied software engineering with strong consulting acumen. You establish AI governance frameworks, champion sound engineering practice across the AI delivery lifecycle, and act as a go-to technical reference on complex engagements. Depending on the engagement, you’ll draw on some of the below more than others — not every bullet applies to every project. • Design and build agentic AI applications and multi-agent workflows, along with the frameworks that run them, for enterprise use cases, • Build RAG pipelines and integrate LLM APIs, vector databases, and MCP (Model Context Protocol) tooling, • Process unstructured data into condensed, structured knowledge, including ontology extraction, • Write production-grade Python services (FastAPI) with solid engineering practices: design, testing, code review, CI/CD, • Work with relational and graph databases (e.g.Postgres, Neo4j) to model and serve data behind AI applications, • Work closely with platform engineering throughout deployment — hosting, scaling, and MLOps/LLMOps — without owning that infrastructure yourself, • Define AI governance and responsible-use guardrails: data privacy boundaries, LLM governance, and policy enforcement (OPA/Rego), • Instrument AI applications for observability (OpenTelemetry, Prometheus) so behaviour and cost stay visible in production, • Translate enterprise requirements into AI solution roadmaps for senior stakeholders, • Capture field learnings, codify reusable agentic patterns, and mentor engineers hands-on, • Provide architectural oversight across multi-disciplinary workstreams, staying close enough to unblock the team directly You don’t need to tick every box below to apply — this reflects the breadth of the role, not a strict checklist. • 8–10+ years in software or solution engineering, with a track record of shipping AI systems in client-facing engagements, • Strong Python engineering (FastAPI), with solid SDLC practices: design, testing, code review, CI/CD, Git & GitHub, • Hands-on experience with agentic AI frameworks (examples include LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI’s Agents SDK, and Google’s Agent Development Kit) and MCP (Model Context Protocol), • Practical experience building RAG/LLM-based pipelines and working with vector databases, • Experience with relational and graph databases (e.g.Postgres, Neo4j) for data modelling behind AI applications, • Hands-on familiarity with modern AI coding copilots (e.g.Claude, Codex, Cursor), • Strong stakeholder communication, translating AI capability into business outcomes for senior stakeholders, • Familiarity with observability instrumentation for AI systems (OpenTelemetry, Prometheus), • Experience with AI/ML frameworks (TensorFlow, PyTorch) and the Hugging Face / open-source AI ecosystem, • Experience with image understanding and OCR, • Working knowledge of policy-as-code (OPA/Rego) for AI governance and guardrails, • Understanding of LLM governance: data privacy, guardrails, and responsible-use controls, • T-shaped profile: deep expertise in AI engineering, broad understanding across software engineering and technical consulting, • Willingness to travel and work on customer premises as required, • Degree in Computer Science, Data Science, Informatics, Engineering, Physics, Mathematics, or a related discipline — or equivalent professional experience The “Kyn” in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers. That’s The Kyndryl Way. Your career with us isn’t just a job—it’s an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best. From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute—you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth. We’re here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve. You’ll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you’ll be part of a culture that values empathy, restless learning, and a devotion to shared success. We want you to thrive here—and we’re committed to helping you do just that. Ready to make an impact? Join us and help shape what’s next. #J-18808-Ljbffr

Dalton is on a mission to make drug design more efficient. We are building the AI ecosystem for drug discovery, solving real-world problems, and transforming the pharmaceutical industry. Our goal is to harness cutting‑edge technology and turn it into impactful products for our partners. Join us as we revolutionize drug discovery and improve the lives of patients worldwide. Dalton offers an exciting, collaborative environment where you can contribute to revolutionizing drug discovery. We value innovation, creativity, and commitment, and we are united by our mission to make a difference globally. We are seeking a detail‑oriented Immunoinformatics Engineer who is passionate about developing transformative technology to enhance the productivity of drug design. If you thrive in a fast‑paced, multidisciplinary environment and have the skills below, we'd love to hear from you. • Build strong relationships with Dalton's partners and deliver transformational projects., • Collaborate with cross‑functional teams—including data science, software engineering, and product development—to integrate novel technologies., • Develop cutting‑edge AI methods and integrate them into robust products that improve partner efficiency., • Deliver robust, extensible, and maintainable software solutions, translating high‑level business objectives into technical implementations., • Drive your work with minimal supervision, managing the full software lifecycle from requirements capture to planning and execution., • Stay informed about advancements in relevant scientific research and apply this knowledge to your work., • Master's or PhD in Computational Biology (e.g., Bioinformatics) or Artificial Intelligence applied to scientific problem‑solving., • Proven track record of impactful contributions to scientific projects., • Advanced proficiency in Python or experience with other programming languages (e.g., Java, C/C++)., • Strong communication skills, capable of conveying complex scientific concepts to diverse audiences., • Inclusive team player, open to learning from others and contributing to a collaborative environment., • Desire to rapidly transition novel bioinformatics AI research into production environments to transform drug discovery., • Expertise in one or more of the following areas:, • Artificial Intelligence: Experience with state‑of‑the‑art methods such as graph neural networks, transformers, Gaussian processes, generative modeling, or reinforcement learning., • Bioinformatics: Knowledge of biology data storage, formats, and protein‑structure prediction; proficiency with toolkits such as BioPython., • Protein Dynamics: Experience applying MD techniques to protein‑protein interactions including using toolkits (e.g., OpenMM, Rosetta)., • Integrative structural modelling: Experience integrating structural data, e.g., CryoEM or HDX‑MS with computational models in automated ways., • Experience with data curation and processing from heterogeneous sources; familiarity with tools like Apache Spark or Hadoop., • Proficiency with cloud platforms (AWS, GCP, Azure)., • Familiarity with major machine learning frameworks (e.g., scikit‑learn, TensorFlow, PyTorch)., • Open‑source contributions or publications demonstrating expertise in machine learning for scientific applications., • Hands‑on experience with best software development practices in collaborative environments. #J-18808-Ljbffr

An exciting opportunity has arisen to join an expanding interactions analytics solution provider within the contact centre space, with a particular focus on enterprise level sales in speech / text analytics and workforce optimisation (WFO). As an integral part of the clients Sales Team, a Solutions Architect is accountable for technical and analytical pre‑sales activities to facilitate and drive a successful sales process. We are looking for an experienced pre‑sales solution architect / engineer tyre individual with a proven track record of enterprise level contact centre analytics solutions sales with a strong bias towards interaction analytics solutions. Please note this is a home based role with travel required - YOU DO NOT NEED TO LOCATED IN LONDON / SOUTH EAST • Assisting in achievement of 100% and above of sales targets, • Development of strong relationships with prospects enabling the sales of the client’s products and services, • Contribute to team success by partnering with sales directors to develop specific strategy and objectives related to each prospect, • Leading the product and technical presentation phases of the client’s solution, • Demonstrating how the client’s solution enables customers to achieve ROI, • Providing pre‑sales technical assistance and product education, • Conducting the proof of concept including technical setup, content creation, and data analytics to develop ROI stories which are presented back to prospects, • Assisting in the development of product demonstrations, • Assisting in the technical / product / functional response areas of RFP/RFI/RFQ requests, • Coordinating with technical/products experts to engage with prospects when appropriate, • Producing support material for the sales team, • Recording and maintaining client contact data, • Conveying prospect/customer requirements to Product Management teams, • Assisting in marketing activities related to shows, seminars and conferences, • Well‑rounded pre‑sales analytics, background with minimum of 3+ years of experience in speech and text analytics solutions, • Comfortable in the dynamic atmosphere of an entrepreneurial organization with aggressive sales goals., • Strong presentations skills with an ability to explain technical / functional concepts to a non‑technical / business audience., • Must have the ability to understand and convey how specific technology can be applied to solve business issues., • Must have the ability to communicate professionally and effectively in written responses to emails, RFPs, etc., • Must be able to work independently and with fellow team members., • Ability to develop and interpret data analysis for the purpose of conveying the value of a technical/software solution., • Comfortable with technology and ability to quickly learn new technologies, serving as a SME on the client solution., • Ideally A degree, preferably in Business, Linguistics, Computer Science or related field., • Ability to travel (50%+) for prospect/customer meetings, company gatherings, and industry conferences., • Pass standard background check for PCI Compliance security clearance. #J-18808-Ljbffr

We are a first-mile intelligence platform, delivering granular visibility into the point of origin in global ag & soft commodity supply chains - where risk, cost, performance and exposure are set. You’ll join a global, cross-functional team that values rigour, curiosity and working close to real-world challenges. Whether your focus is AI, climate, product or operations, you’ll have space to contribute meaningfully and make an impact from day one. If you’re excited by complex problems and want to help reshape how nature is valued in real-world decision-making, we’d love to hear from you. Own the models and pipelines that turn weather and satellite data into the risk and market signals Treefera's customers rely on. You will take questions such as where agricultural stress is building this season and how confident we can be about it, and build data pipelines that move from ingestion, through modelling and evaluation, to delivery to a customer. You take a problem end to end: an ambiguous question becomes a validated model and then a pipeline that runs repeatedly. You have built deep learning and statistical models for time series or spatial data, with real projects you can walk through in detail, including the parts that did not work. You can explain and defend every decision in the code you ship, whatever tooling helped you write it. We are enthusiastic about AI-assisted development and equally firm that you own and understand the result. You are fluent in the Python scientific stack (PyTorch, scikit-learn, scipy, xarray) and in the practices that make work reproducible: version control, experiment tracking, orchestration, cloud infrastructure. You interrogate data before you model it, you state your assumptions, and you are straightforward about uncertainty when you present a result to people who will act on it. Desirable requirements (if applicable): Experience with weather and climate data: reanalysis products, numerical weather forecasts, weather station records, or forecast verification. Experience with remote sensing datasets. Exposure to risk modelling, financial time series, commodity markets, backtesting systematic strategies, and an interest in how a model generates a tradable signal. Build and ship forecasting models for environmental and risk signals, from agricultural stress indicators to weather and climate volatility, and take responsibility for how they perform once they are live. Extend our weather platform by adding new forecast products and capabilities to an established staged pipeline that runs ingestion, standardisation, spatial aggregation, climatology, indices and stress scoring. Work with satellite data across optical and radar missions to build vegetation stress signals, landcover classifications and land-surface conditions. Take research from prototype to production: build the infrastructure it runs on, design how it fails and how you'll know, and turn one-off work into orchestrated, reproducible data deliveries our clients rely on. Shape how the AI team models by improving experiment design, evaluation protocols, documentation and the treatment of uncertainty, and by communicating methods and their limits clearly to technical and commercial colleagues. In your first 30 days you will have the weather and earth observation pipelines running locally, interrogated the system that produces our current signals, and formed your own view on where our pipelines are weakest. By 60 days you will have delivered your first improvement: a new index, a better evaluation, or a forecast product added. By 90 days that work is running in production and someone outside the AI team is relying on its output. By six months you own a signal domain end to end, you are the person Product asks when a number looks wrong, and you can say how confident we should be in it. Within a year you will have shipped a materially better forecasting capability than the one you inherited, with the evaluation evidence to prove it. You will report to Tommy Lees and work inside the AI pod, partnering closely with the Science team on methods, with Engineering on the platform your models run on, and with Product and Market Intelligence on what the signals need to answer for customers. Recruiter screen (30–45 min) Hiring manager interview (45-60 min) Team & skills session (45-60 min) Product interview (30 min) Final cross-functional or executive conversation (If applicable). (30-45 min) Accessibility: Tell us if you need adjustments, we’ll accommodate. Right to work: You'll typically need the right to work in the UK, as we aren't generally able to sponsor visas. If your situation is different, tell us and we'll talk it through. What you’ll gain at Treefera Build something that matters - join a high-growth climate-tech company applying AI, satellite data and quantitative modelling to real-world challenges across global supply chains, commodities and carbon. Work on complex, meaningful problems - develop systems that balance risk, resilience, compliance and sustainability, giving organisations a genuine information advantage at global scale. Collaborate with exceptional people - work alongside scientists, engineers and operators who are leaders in their fields, combining academic rigour with practical, cross-functional product delivery. Ship and grow in a high-trust environment - experiment, iterate and take thoughtful risks in a team that values autonomy, creativity and continuous learning. Develop your craft - dedicated space and time to grow your skills toward mastery, tackling technically demanding challenges that push the boundaries of applied AI and environmental data. Be rewarded for your impact - competitive compensation, equity options, meaningful benefits, and the opportunity to help shape the future of AI-powered risk and environmental intelligence. Diversity, Equity & Inclusion Bold solutions come from diverse teams. Please refer to our DEI & EEO commitment below. If you need any accommodation during the application process, we’re here to support you. Learn more about how we think and build Many of our engineers, scientists and product leaders share their thinking publicly. Explore the Treefera blog for technical deep dives, research and product perspectives. Privacy notice By applying to Treefera, you consent to the processing of your personal data in line with our Privacy Notice. #J-18808-Ljbffr

LGC is a leading, global life science tools company, providing mission-critical components and solutions into high-growth application areas across the human healthcare and applied market segments. Its high-quality product portfolio is comprised of mission-critical tools for genomic analysis and for quality assurance applications, which are typically embedded and recurring within our customers’ products and workflows and are valued for their performance, quality, and range. We are seeking an exceptionally skilled IFS Technical Analyst to build and deliver technical solutions supporting our ERP platform. You will work with senior users, business analysts, and suppliers to ensure our ERP system meets the needs of our rapidly growing organization. This is your chance to be part of an ambitious team and make a significant impact in a dynamic environment! • Understand requirements and translate them into technical solutions, considering the associated business impact of build choices and decisions., • Collaborate with project teams and functional consultants to provide technical solutions., • Adhere to project plans and deadlines strictly., • Build and develop application integration solutions., • Build and complete data migrations flawlessly., • Balance between BAU support and project work successfully., • Detail technical specifications and processes as part of implementing change requests. What We’re Looking For • Strong understanding of the technical architecture of IFS Apps 9., • Strong understanding of IFS Cloud technical architecture., • Experience with IFS Cloud/V9 implementation projects in a technical role, aiding in the successful deployment and configuration of the system., • Methodical, analytical, and detailed approach to troubleshooting problems., • Dedication to following company software engineering process guidelines and standard methodologies., • Strong collaborator with proven ability to work well with others., • Practical experience in deploying distribution, finance, or manufacturing solutions., • Familiarity with a range of software and hardware tools used for delivering IFS solutions., • Willingness to learn and adapt to any software used by the company., • Enthusiastic and able to work independently with minimum supervision., • A minimum of 5 years' experience in IFS Applications Development, with over 2 years working on IFS Cloud., • IFS Reports/Quick report build and development., • Debugging and problem identification in IFS., • Strong programming skills on Oracle SQL, PL/SQL for 5+ years., • Excellent great teammate., • Strong analytical and problem-solving abilities., • Effective communication skills and experience collaborating with end-users., • Understanding of IFS functional areas such as Supply Chain and Finance., • Practical experience in deploying solutions related to distribution, finance, or manufacturing., • Proven ability to compete in a fast-paced environment., • PASSION, • CURIOSITY, • INTEGRITY, • BRILLIANCE, • RESPECT LGC strongly believes that every job applicant and employee should be valued for their individual talents regardless of age, disability, race, color, ethnic or national origin, sex, sexual orientation, gender reassignment, marital or civil partnership, pregnancy or maternity, religion, or belief. Short listing, interviewing and selection will always be carried out without regard to gender, sexual orientation, marital status, color, race, nationality, ethnic or national origins, religion or belief, age, or trade union membership. #J-18808-Ljbffr

We are a multidisciplinary team working with Data Centre clients across both Hyperscale and Colocation and also Enterprise projects across Europe. These projects are led from our specialist data centre team based in the UK in conjunction with our local teams across Europe who ensure localisation and permitting delivery, but also other global design teams providing resource and capability to the projects., • Senior Architect/Designer on a portfolio of projects., • Assist in coordinating the design across multi-disciplinary architectural and engineering teams, working closely with discipline leads to deliver integrated architectural and engineering outputs across projects., • Ensuring all internal governance is followed both at bid stage and throughout the delivery of projects., • Presenting to clients and prospective clients., • Ensuring CDM Safety in Design principles are applied throughout all design stages of a project., • Managerial Responsibilities, • Organises own and others work to achieve set deadlines., • Responsible for the correctness, accuracy and multi-disciplinary coordination of the design documentation., • Ensures the quality of technical work produced meets AECOM's Technical Excellence standards., • Interact with clients, contractors, local authority representatives and others using skills of persuasion and negotiation to resolve critical issues., • Make appropriate value judgements with respect to corrective work that supports the design concept and performance goals of the project., • For projects on site: Manage interface between Design Team / Site Team ensuring proper design support is provided in a timely manner., • Support Associate Directors and / or Directors with operational responsibilities which includes development and implementing Technical Excellence initiatives, management of resources (HR), training initiatives (CPD)., • Where requested, engage with business reporting activities., • Ensure the latest software and digital techniques are utilised to increase productivity and identify where training opportunities for staff should be made available. We are seeking an experienced Architect or Architectural Technologist with a strong technical background in the design of large multi-disciplinary design projects, preferably data centres. The ideal candidate will be able to collaborate effectively within multi-disciplinary architectural and engineering teams. The candidate must be strong in technical design content, with a CSA bias and in design management, digital technologies, and design workflow. They will be expected to oversee design activities and the production of design information and maintain the level of quality that is expected throughout these projects. They will have to manage this delivery to very demanding timelines and programmes with immovable deadlines. The preferred location for this role is Belfast, given its position as a key hub of expertise. Dublin, Manchester, and London are also suitable locations. The role will require travel throughout the UK, Ireland, and Europe. • Must be proficient in the team management of, and use of, CAD. We use a range of CAD software, and training can be given to get you up to speed on the specific software needed for projects we are working on, which utilise AutoCAD & REVIT., • In particular our approach to design utilises 3D modelling in REVIT for workflow, and direct 'hands on' experience and current working knowledge of REVIT is required., • It would also be useful to have a working knowledge of Sketchup, Photoshop, InDesign, PowerPoint, Twinmotion and other presentation and render software. (Training can also be provided)., • Familiarity with working in Common Data Environments (CDE) like Forma ACC, ProjectWise, Autodesk Docs, etc., • Creative, practical, adaptable and enthusiastic., • Ability to demonstrate attention to detail., • Ability to think in a methodical way to design, plan and organize parts of projects., • English language proficient, holding good communication skills to present information in speech, drawings and reports., • Candidates must be eligible to work in the UK., • Fully Qualified Architect or Technologist (Chartered or equivalent) and proven experience in working on large multi-disciplinary design projects, preferably in Data Centres, • Willingness and interest to work in a range of areas under the guidance of Associate Directors and / or Directors. Our areas of design include: Data Centres, Nuclear, Transport, Rail, Aviation, Education, Health Care, Laboratory, Science, and Logistics., • Degree qualification, preferably with Diploma or Masters in a University Course, although the latter is not absolutely essential., • Some experience of various forms of building contract will be helpful., • An understanding and knowledge of the application UK Building Systems, Standards and Regulations and construction types., • IT literate, with knowledge of CAD software, and Microsoft Office Suite (Word, Excel, TEAMS, etc)., • Ability to manage a busy workload and deadlines., • A clear work history and proof of professional development and learning. Work with Us. Change the World. At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world's most complex challenges and build legacies for future generations. There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world. We're one global team driven by our common purpose to deliver a better world. Join us., At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world's most complex challenges and build legacies for future generations. There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world. We're one global team driven by our common purpose to deliver a better world. Join us. AECOM is listed as the 4th largest employer of architects worldwide in the World Architecture WA100 2025 survey, with over 1500 architects. We are currently expanding in the UK, so now is a great time to join our team and build your career for the future. We are at number 10 in the AJ100 list. AECOM employs around 7500 multi-disciplinary staff in the UK, and we offer architecturally led multi-disciplinary design services to our client. At AECOM, we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment. About AECOM AECOM is the world's trusted infrastructure consulting firm, delivering professional services throughout the project lifecycle - from advisory, planning, design and engineering to program and construction management. On projects spanning transportation, buildings, water, new energy and the environment, our public- and private-sector clients trust us to solve their most complex challenges. Our teams are driven by a common purpose to deliver a better world through our unrivaled technical and digital expertise, a culture of equity, diversity and inclusion, and a commitment to environmental, social and governance priorities. AECOM is a Fortune 500 firm and its Professional Services business had revenue of $16.1 billion in fiscal year 2025. See how we are delivering sustainable legacies for generations to come at aecom.com and @AECOM. Freedom to Grow in a World of Opportunity You will have the flexibility you need to do your best work with hybrid work options. Whether you're working from an AECOM office, remote location or at a client site, you will be working in a dynamic environment where your integrity, entrepreneurial spirit and pioneering mindset are championed. You will help us foster a safe and respectful workplace, where we invite everyone to bring their whole selves to work using their unique talents, backgrounds and expertise to create transformational outcomes for our clients. AECOM provides a wide array of compensation, benefits and well-being programs to meet the diverse needs of our employees and their families. We're the world's trusted global infrastructure firm, and we're in this together - your growth and success are ours too. Join us, and you'll get all the benefits of being a part of a global, publicly traded firm - access to industry‑leading technology and thinking and transformational work with big impact and work flexibility. As an Equal Opportunity Employer, we believe in each person's potential, and we'll help your reach yours. #J-18808-Ljbffr

This role designs, implements, and evolves a highly available global financial network spanning data centres, trading floors, and enterprise sites. You will lead network design and delivery work — new builds, platform refreshes, and third-party service turn-ups — while acting as senior technical escalation for complex network issues. The role suits an engineer with excellent data centre and enterprise network fundamentals, a solid understanding of EVPN and VXLAN on Arista, a strong drive to automate manual processes, and an interest in applying AI tooling creatively to operational problems. • Design and implement data centre and enterprise network solutions, including new installations, platform refresh and redesign, and site migrations, • Deliver network projects end to end: design documentation, build, testing, cutover, and handover to operations, • Turn up and support services to third parties, including CDN, extranet services, and VPNs, • Lead routing and switching design and configuration across Juniper, Arista, and Cisco platforms, covering BGP, OSPF, EIGRP, route manipulation, redistribution, and filtering, • Design, build, and support EVPN/VXLAN data centre fabrics on Arista platforms, • Act as senior escalation for complex network incidents, contribute to root cause analysis, and drive permanent resolutions, • Build network automation and tooling (Python, Ansible) to remove manual effort, and apply AI creatively to monitoring, troubleshooting, and operational problems, • Work with and refine enterprise monitoring solutions so monitoring and alert coverage keeps pace with the estate, • Maintain infrastructure hygiene through code upgrades, EOL hardware replacement, and network audits, • Keep design and support documentation accurate for internal and customer support teams, • Implement BAU changes in accordance with the change management process (break fix, moves, adds, and changes), • Mentor junior engineers and analysts, and ensure smooth handover of network issues between regions, • Strong routing and switching design and implementation experience across Junos, Arista EOS, and Cisco IOS, including EIGRP, OSPF, and BGP, • Solid understanding of EVPN and VXLAN, with hands‑on design and implementation experience on Arista platforms, • Excellent data centre and enterprise network fundamentals, from design through implementation and operation, • Hands‑on experience with Palo Alto firewalls and F5 load balancers, • Strong understanding of Wi‑Fi networking principles, including design, installation, maintenance, and troubleshooting, • Scripting and automation experience (Python, Ansible, or similar) applied to real network problems, • Resilient under pressure, with a proactive, solutions‑focused approach to incident management, • Good communicator, both written and verbal, with strong time management and prioritisation of workload, • Curious, creative approach to applying AI tools to improve network operations, monitoring, and troubleshooting, • Cisco CCNP Routing & Switching, • Wireless foundational certification (required), • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience, • Experience supporting a high‑volume, high‑availability financial trading environment, • Experience of low‑latency network design or multicast market data, • Extreme Networks platform experience, • Exposure to network-as-code, source‑controlled network configuration, or CI/CD for network changes, • Experience with cloud networking or hybrid connectivity (GCP, AWS, Azure), • Familiarity with SD‑WAN, network segmentation, or zero‑trust network models, • Routing and switching: Juniper Junos, Arista EOS, Cisco IOS, • Security and load balancing: Palo Alto, F5, • Wireless: Extreme Networks or similar enterprise Wi‑Fi platforms, • Automation and scripting: Python, Ansible, Git, • Monitoring: enterprise network monitoring and alerting platforms, Grafana, Splunk, • Service management: ServiceNow, Jira, Confluence, • AI tools and chatbots such as Claude, ChatGPT and Microsoft Copilot Cantor Fitzgerald, founded in 1945, is a premier global financial services and technology firm with a presence in over 30 countries and more than 14,000 employees worldwide. Renowned for innovation, scale, and deep expertise across capital markets, Cantor Fitzgerald delivers cutting‑edge solutions to institutional clients including banks, hedge funds, trading firms, and corporations. As one of the few remaining private partnerships on Wall Street, Cantor Fitzgerald combines entrepreneurial agility with long‑term vision—offering leadership in Equity and Debt Capital Markets, Sales & Trading, SPAC underwriting, Structured Products, Prime Brokerage, Asset Management, and Commercial Real Estate Services. If you’re looking to join a firm that values resilience, innovation, and client focus, Cantor Fitzgerald offers an exceptional platform to make an impact in shaping the future of global financial markets. #J-18808-Ljbffr

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for Product Managers who value moving quickly and lead AI-native product development at scale., 2. defining success, prioritizing problems and identifying the best strategies, considering wider organizational and company context. Adapt and adjust your strategies to reflect learnings and changes in context • 2. defining success, prioritizing problems and identifying the best strategies, considering wider organizational and company context. Adapt and adjust your strategies to reflect learnings and changes in context, • 3. Identify and drive consensus for how to prioritize and realize the most significant opportunities in your product area. Identify when to stop as well as when to start investment, • 4. Critically evaluate when AI is (and isn't) the optimal solution, with sophisticated articulation of tradeoffs, risks, and second-order effects, • 5. Translate AI capabilities into compelling product visions that create differentiated value, • 6. Develop and champion AI-native strategies including comprehensive evals and data strategies that enable continuous improvement, • 7. Work with a cross-functional team to define a product vision, develop a roadmap and drive progress against goals and milestones and resolve challenges and blockers, while improving team health and upleveling the effectiveness of the team, • 8. Actively identify opportunities and resolve dependencies by creating shared strategies across teams in adjacent product areas, • 9. Reimagine workflows, responsibly using AI tools to dramatically increase team velocity and capability, • 10. Foster a culture of rapid experimentation and learning across the organization, • 11. Scale AI best practices (including responsible AI use), workflows, and artifacts across product teams so the org's capability compounds over time, • 12. Support the growth of other PMs and cross-functional team members by providing mentorship and coaching on AI-native practices, • 13. Influence strategy and progress across partner functions, enhancing collaboration and resolving divergent goals, • 14. Orchestrate complex execution across multiple workstreams by combining AI automation with strategic human oversight-using AI to reduce toil while maintaining high quality and accountability, • 15. Communicate product strategy and progress clearly and concisely to all stakeholders, • 16. Use AI-enabled tools to build products-independently creating tangible artifacts to prototype, validate, or ship, • 17. Interpret research and state-of-the-art learnings to design product strategy and apply rigorous logical reasoning, • 18. Demonstrate deep understanding of system/architecture trade-offs and how they impact user experience and business outcomes, • 19. lead credible technical discussions with engineering partner, • 20. Gather and analyze user research and market analysis to inform product decisions and influence the wider product organization, • 21. Design sophisticated experiments and interpret results (leveraging AI to accelerate analysis) and drive concrete product decisions, • 22. Define and run evaluations (evals) to interpret model outputs and adjust execution based on learnings-establishing evaluation as a first-class product practice across teams, • 23. 8+ years of relevant industry experience with at least 3 years in Product Management, • 24. Bachelor's degree (or relevant degree equivalent): STEM subject ideal but not essential (Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences), • 25. Experience leading cross-functional product team(s) across a full product line: Crafting product mission and strategy, defining product requirements, coordinating resources from other groups (marketing, legal, etc.), and driving the team to achieve key milestones and goals, • 26. Experience managing a product through the full product lifecycle, • 27. Proven experience to drive a step change in the performance of a product and the effectiveness of the team that delivers that product, • 28. Extensive understanding in analyzing large-scale, complex data sets and making effective decisions based on data, • 29. Demonstrated proficiency using AI-enabled tools to build product artifacts, • 30. Experience developing and scaling AI-native strategies including evals and data strategies across teams, • 31. Experience integrating a diverse set of requirements from a broad set of users as well as context into a single coherent product strategy, • 32. Experience leading and motivating teams and influencing across an organisation, • 33. Demonstrated experience in communication, bringing extreme clarity to complex and technical messages across all audience levels, • 34. Experience identifying and hiring the right talent to build an AI-capable cross-functional team, • 35. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies, • 36. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements), • 37. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) #J-18808-Ljbffr

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. • A strong understanding of AI model risk management, including risks and controls specific to Generative AI and agentic AI, and their implications for model validation and governance, • Practitioner-level agentic AI skills: a demonstrated track record of building, deploying and evaluating AI agents and multi-agent systems, including tool use, orchestration and state management using modern agent frameworks, • Strong, practical knowledge of agent evaluation (“evals”): task-success and trajectory testing, grounding and retrieval quality assessment, hallucination and drift detection, robustness testing, benchmarking, bias and fairness assessment, alignment and misalignment analysis, adversarial testing, and red-teaming, • Strong LLM/GenAI engineering fluency: prompting strategies, retrieval-augmented generation, context and memory design, function/tool calling, guardrails, observability, and failure-mode analysis (e.g., prompt injection, tool misuse, error propagation across steps), • Track record of taking advanced AI systems from prototype to production, with attention to reliability, safety, and responsible-AI controls, • A solid understanding of quantitative finance, modeling and model validation, together with financial products and markets, is valued. This is desirable rather than essential for candidates who bring exceptional AI and agentic depth, • Proficiency in programming languages such as R, Python, MATLAB, and SQL, with the ability to work within an established codebase, knnowledge of C++ programming is preferred, • Experience in model validation, model risk management or independent review is an advantage. For an outstanding AI technologist, domain expertise in credit model risk can be further developed through close collaboration with experienced validators; prior work in credit, counterparty or market risk is helpful context rather than a prerequisite, • Relevant professional or research experience spanning AI, machine learning, quantitative analytics, software engineering, model risk management or related disciplines, we prioritize demonstrated, practical skill with advanced AI and agentic systems over years of experience, • Drive and ownership: bring energy and initiative, take ownership of your work, build trusted relationships, and role model a growth mindset and effective challenge across the team, • Highly organized, efficient, and detail-oriented, able to prioritize competing demands, work to tight deadlines, and deliver accurate, high-quality outputs both independently and collaboratively, • A strong communicator, able to articulate complex ideas fluently and clearly for both technical and non-technical audiences, with strong written and spoken English, • A strong academic background in a technical or quantitative field such as computer science, artificial intelligence, machine learning, mathematics, physics or engineering, with a preference for candidates holding a post-graduate degree., • Demonstrated, applied agentic AI capability is weighted alongside formal credentials The role carries out the independent evaluation and challenge of models, scorecards and agents used in the context of credit rating activities across asset classes, as well as AI model risk management. The successful candidate will bring strong, practical expertise in Generative and agentic AI and play an active role in advancing the organization’s approach to evaluating and governing these systems. • Carry out the independent evaluation and challenge of AI-enabled tools, agents and quantitative models, including detailed assessment of inputs, assumptions, conceptual soundness, performance and limitations, building credit model-validation rigor with the support of the wider team, • Perform AI model risk management activities, including identifying, assessing, and mitigating risks associated with GenAI and agentic AI, • Design and deliver complex validation analyses, including model replication, challenger development, sensitivity testing, benchmarking, and ad-hoc quantitative investigations, • Deliver validation outputs, from test plan design through clear, concise validation reporting and effective challenge of model developers, • Maintain clear separation between model development and independent review, preserving the independence of MRG’s conclusions, • Build AI model risk capability within MRG, sharing GenAI and agentic AI expertise, advancing the team's evaluation capabilities, and developing subject-matter expertise across analytical and methodology teams, • Drive rigorous execution standards and culture, promoting effective challenge, continuous improvement, and practical application of model risk frameworks and policies The MRG Quantitative Review team independently reviews and validates quantitative models and scorecards that support credit ratings. It notably assesses whether these tools are conceptually sound, appropriately calibrated, and fit for purpose, and that they operate in line with approved methodologies and governance standards. Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary. #J-18808-Ljbffr

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more. As a Senior Machine Learning Engineer on one of Voleon's Research teams, you will partner directly with research staff to advance our quantitative trading strategies. You will translate novel research ideas into production-quality code, build and maintain the data pipelines and modeling infrastructure that underpin our strategies, and apply your own strong mathematical intuition to solve open-ended technical challenges. This role lives at the boundary of research and engineering. You will be expected to understand the statistical and mathematical concepts your research partners work with, contribute meaningfully to technical discussions about model design and evaluation, and ensure that the resulting systems are performant, reliable, and maintainable. You will work at the intersection of Computer Science, Mathematics, and Statistics - building high-performance tools that enable world-class research while maintaining a high engineering standard. Partner with PhD researchers to design, implement, and productize machine learning models that drive quantitative trading strategies Develop and maintain complex data pipelines, including data ingestion, feature engineering, validation, and quality monitoring Translate research prototypes and novel ideas into performant, well-tested, production-ready code Build extensible tools and frameworks that accelerate the model development and experimentation lifecycle Supervise, understand, and remediate subtle data quality issues across both research and production environments Proactively lead projects from requirements through delivery, making autonomous decisions about scope, dependencies, and trade-offs, with an emphasis on long-term maintainability Coordinate and contribute to deployment efforts while guiding junior engineers and researchers; align with research and engineering stakeholders on ownership, execution, and prioritization Foster engineering consistency, standards, and best practices within Research Bachelor's degree (or higher) in Computer Science, Applied Mathematics, Statistics, or a related quantitative field 5+ years of professional software engineering experience, with strong CS fundamentals (data structures, algorithms, systems design) Demonstrated mathematical maturity - comfort with the concepts and notation used in statistics, linear algebra, optimization, and probability Deep proficiency in Python; experience with R and/or C/C++ is a strong plus Extensive experience with numerical and data science libraries (e.g., NumPy, Pandas, SciPy, scikit-learn, PyTorch, TensorFlow, or similar) Proven experience building or maintaining machine learning systems in a distributed computing environment Proficiency developing in a Linux environment with attention to performance, correctness, and reproducibility Exceptional attention to detail, particularly when working with imperfect or heterogeneous data Strong verbal and written communication skills, and the ability to collaborate effectively with researchers whose primary expertise is not software engineering Experience with experiment management, model evaluation pipelines, or ML workflow orchestration Familiarity with modern ML/AI infrastructure patterns (model serving, feature stores, distributed training) Experience with performance profiling and optimization of numerical or modeling code Prior exposure to financial data, time-series analysis, or quantitative research environments If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program. The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law. #J-18808-Ljbffr

The Tripadvisor Group Machine Learning Team is looking for an experienced individual to join a dynamic and fast-paced team to help support our Marketing efforts. As an ML II Scientist, you will apply your modeling skills to a wide variety of problem spaces including, but not limited to bidding for online advertising, customer modeling, experimental design, revenue optimization, attribution, recommendations, life time value. You will have access to the newest development tools and huge data sets. You will deploy your solutions online and be able to observe the impact of your work in real time as you help the company grow. Tripadvisor Group comprises Tripadvisor, the world's leading travel information site, and Viator, the leading marketplace for travel experiences. The ML Team creates systems that influence the travel decisions of millions of people per day. We apply cutting edge machine learning techniques to a wide variety of areas. To ensure continued success, Tripadvisor promotes a culture of personal development, including social activities, journal clubs, memberships in online learning resources, and participation in industry conferences. Have a great time while shaping the future of travel! What You'll do: We are looking for someone who is independent, curious, and motivated, who likes discussing ideas and will bring something new to the table. You will be working in a diverse environment where you'll collaborate with a broad multidisciplinary team of data scientists, analysts, software engineers, and product managers. You'll be encouraged to take ownership of your projects and to find new opportunities and problems where machine learning could be applied to improve the business. • Use machine learning models to solve a variety of core business problems across marketing., • Seek out new opportunities to apply data science and machine learning in the marketing space across all channels (e.g.,paid, organic, search, demand creation, affiliates, CRM…), • Automate ETL pipelines, • Prototype, evaluate, deploy and maintain new ML models in production, • Design AB tests and analyze their results, • Discover new ways to analyze and interpret the data, • Communicate progress and interpretation of experimental results to technical and business stakeholders Team player • Loves to learn, • Great communication skills with both technical and non-technical partners, • Gets things done on time and on specification, • Genuinely interested in AI - you've played with AI tools yourself, and you're excited to grow your skills in that space rather than waiting for it to be handed to you, PhD or Masters in Computer Science, Engineering, Statistics, or related field preferred (or masters with 2+ years of practical experience), • Knowledge of AB test design and analysis, • Strong background in machine learning and statistics, • Solid foundation on data structures and algorithms, • Proficiency in Python for numerical/statistical programming (our group relies heavily on Numpy/Pandas/Scikit-learn), • Ability to interpret and write complex SQL queries, • Experience with big data technologies, such as Hive and Spark, • Track record of leading the deployment and maintenance of models, • Hands-on experience with AI-powered tools We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at . The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world's most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. #J-18808-Ljbffr

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more. As a Senior Machine Learning Engineer on one of Voleon's Research teams, you will partner directly with research staff to advance our quantitative trading strategies. You will translate novel research ideas into production-quality code, build and maintain the data pipelines and modeling infrastructure that underpin our strategies, and apply your own strong mathematical intuition to solve open-ended technical challenges. This role lives at the boundary of research and engineering. You will be expected to understand the statistical and mathematical concepts your research partners work with, contribute meaningfully to technical discussions about model design and evaluation, and ensure that the resulting systems are performant, reliable, and maintainable. You will work at the intersection of Computer Science, Mathematics, and Statistics - building high-performance tools that enable world-class research while maintaining a high engineering standard. • Partner with PhD researchers to design, implement, and productize machine learning models that drive quantitative trading strategies, • Develop and maintain complex data pipelines, including data ingestion, feature engineering, validation, and quality monitoring, • Translate research prototypes and novel ideas into performant, well-tested, production-ready code, • Build extensible tools and frameworks that accelerate the model development and experimentation lifecycle, • Supervise, understand, and remediate subtle data quality issues across both research and production environments, • Proactively lead projects from requirements through delivery, making autonomous decisions about scope, dependencies, and trade-offs, with an emphasis on long-term maintainability, • Coordinate and contribute to deployment efforts while guiding junior engineers and researchers; align with research and engineering stakeholders on ownership, execution, and prioritization, • Foster engineering consistency, standards, and best practices within Research, • Bachelor's degree (or higher) in Computer Science, Applied Mathematics, Statistics, or a related quantitative field, • 5+ years of professional software engineering experience, with strong CS fundamentals (data structures, algorithms, systems design), • Demonstrated mathematical maturity - comfort with the concepts and notation used in statistics, linear algebra, optimization, and probability, • Deep proficiency in Python; experience with R and/or C/C++ is a strong plus, • Extensive experience with numerical and data science libraries (e.g., NumPy, Pandas, SciPy, scikit-learn, PyTorch, TensorFlow, or similar), • Proven experience building or maintaining machine learning systems in a distributed computing environment, • Proficiency developing in a Linux environment with attention to performance, correctness, and reproducibility, • Exceptional attention to detail, particularly when working with imperfect or heterogeneous data, • Strong verbal and written communication skills, and the ability to collaborate effectively with researchers whose primary expertise is not software engineering, • Experience with experiment management, model evaluation pipelines, or ML workflow orchestration, • Familiarity with modern ML/AI infrastructure patterns (model serving, feature stores, distributed training), • Experience with performance profiling and optimization of numerical or modeling code, • Prior exposure to financial data, time-series analysis, or quantitative research environments If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program. The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, #J-18808-Ljbffr

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. • 8+ years of experience in software engineering, with deep hands‑on experience designing, coding, testing, and operating scalable, resilient, production‑grade backend systems and cloud‑native services, • Expert‑level coding capability in modern programming languages such as Python, TypeScript, or similar, with the ability to personally contribute high‑quality production code while guiding technical direction, • Deep hands‑on expertise building enterprise AI applications using large language models, AI agents, retrieval‑augmented generation, prompt engineering, orchestration frameworks, evaluation methods, and model optimisation techniques, • Proven ability to take complex AI solutions from prototype to production, making practical engineering trade‑offs across performance, scalability, reliability, security, maintainability, and cost, • Deep experience with system integrations and modern interoperability protocols, including Model Context Protocol (MCP) and agent‑to‑agent (A2A) standards, with the ability to define integration patterns and shape how these are adopted at scale, • Hands‑on breadth across major cloud platforms and marketplace ecosystems, including Microsoft Azure, Amazon Web Services, Google Cloud Platform, and Databricks, with experience deploying and operating integrations in production across these environments, • Strong experience designing and implementing application programming interfaces, distributed systems, event‑driven architectures, and data pipelines, including batch ingestion, streaming, and connector frameworks for enterprise data delivery, • Proven experience delivering technical proofs of concept, live demonstrations, and prototype solutions to partners and enterprise clients, and turning the successful ones into durable, production‑grade systems, • Strong understanding of enterprise OAuth flows and secure authentication patterns for multi‑platform integrations, • Demonstrated ability to influence technical direction while remaining close to the codebase, mentoring engineers through design reviews, code reviews, pairing, debugging, and hands‑on problem solving, • Demonstrated commitment to responsible AI practices, including AI risk awareness, ethical use, governance, evaluation, monitoring, and continuous improvement of AI‑enabled products and services, • Excellent collaboration and communication skills, with the ability to lead solution architecture design, technical diagramming, and whiteboarding sessions for both engineering and executive audiences, and to represent the organisation credibly in external technical engagements, • Bachelor's degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience Design, code, and lead delivery of scalable AI platforms and intelligent applications that bring emerging AI capabilities into production across partner ecosystems • Act as a hands‑on technical leader, spending significant time designing, coding, reviewing, debugging, and improving production systems that support AI‑powered products and partner integrations, • Own the end‑to‑end technical architecture for the AI partner ecosystem, producing system diagrams, architecture documentation, and design standards that align engineering efforts with product vision and stakeholder expectations across multiple initiatives, • Architect and evolve the agentic workflows, skills, and tool‑use integrations that allow AI systems to interact with Moody's platforms and third‑party services via MCP and related protocols, and define the patterns other engineers build against, • Implement advanced large language model applications using retrieval‑augmented generation, prompt orchestration, evaluation frameworks, model optimisation, agentic workflows, and tool integration, • Build and deliver compelling proofs of concept, live demonstrations, and prototype solutions that showcase platform capabilities and accelerate partner adoption, then harden them into scalable, maintainable production systems, • Serve as the senior technical advisor in client‑ and partner‑facing engagements, effectively communicating complex AI architectures, solution options, and recommendations to both technical and non‑technical audiences, • Deploy, monitor, and optimise integrations across cloud environments including Microsoft, AWS, GCP, and Databricks, establishing operational and reliability standards for the team, • Define and champion integration patterns and protocols, including Model Context Protocol (MCP) and A2A, ensuring seamless interoperability across platforms and influencing how these standards are adopted across the organisation, • Track and assess AI partner technical roadmaps from hyperscalers and leading AI providers, identifying opportunities to enhance products and translating partner capabilities into actionable engineering work, • Establish engineering best practices through hands‑on contribution, code reviews, technical design reviews, automated testing, observability, and operational excellence, • Champion responsible AI practices including evaluation frameworks, model lifecycle management, prompt versioning, monitoring, and continuous improvement of AI‑enabled products, • Partner with product managers, engineering leaders, and business stakeholders to translate strategic priorities into robust, buildable technical solutions, and contribute to build/buy/partner decisions, • Mentor engineers through practical technical coaching, pairing, code reviews, design feedback, documentation, and example‑setting as a senior individual contributor Our team is responsible for building and deploying intelligent, AI‑powered solutions that drive innovation across products and platforms. We shape the product ecosystem through AI, data, and strategic partnerships—embedding large language models, agentic platforms, and advanced analytics into how insight and value are delivered. We partner with leading AI and technology providers including Anthropic, Microsoft, AWS, and Databricks to accelerate innovation and expand platform capabilities. Collaboration is central to how the team works. Engineers contribute across the full AI lifecycle, from experimentation and prototyping through to large‑scale production deployment, while helping shape reusable platforms, integration standards, and responsible AI practices. By joining the team, you will work on some of the most exciting challenges in applied AI, contribute directly to production code and architecture, and be part of a culture that values curiosity, innovation, knowledge sharing, and continuous growth. Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary. #J-18808-Ljbffr

At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact. We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category-defining company, we’re shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. The GenAI Platform team sits within Platform Engineering. We build the shared infrastructure that helps product teams develop, evaluate, deploy and operate GenAI safely at scale. Our scope includes the GenAI gateway, model and prompt lifecycle, evaluation, observability, cost controls and guardrails. We work closely with ML Platform, which supports core machine learning workflows, and Agentic Platform, which provides agent orchestration, state management and tool integration. Together, we give product teams a consistent foundation for user-facing AI experiences and autonomous agents. We work in small teams with significant ownership, empowering you to directly shape system architecture, technical direction, and platform evolution. Learn more through our Engineering Blog, Tech Radar, and YouTube channel. GenAI is central to Preply's product strategy. As a Senior ML Platform Engineer, you'll design and build the systems behind production GenAI workloads. You will drive the expansion of our GenAI Platform, and turn recurring engineering needs into reliable self-service capabilities. This is a hands-on senior role with broad technical influence. You'll write production code, shape platform abstractions and operational standards, and partner with Applied Science, Data, Product, Security and Engineering teams. In this role, your responsibilities include: Architect unified gateway with automated routing, quota controls, and resilient fallback systems across model vendors. Drive system efficiency and low latency via dynamic traffic management, response caching, token budgeting, and cost allocation controls. Establish robust evaluation mechanisms to guarantee high precision, stability, and safety in model outputs. Deliver system observability, providing deep tracing, performance telemetry, cost analytics, continuous monitoring, and alerting across GenAI lifecycles. Standardize prompt engineering workflows with automated versioning, automated testing, governance, and CI/CD integrations for production delivery. Embed platform guardrails alongside Security and Privacy experts to enforce policies, and safe production defaults automatically. Maintain sustainable incident response, blameless postmortems, and comprehensive monitoring for GenAI stacks. Proven track record (5+ years) designing, building and operating backend services or ML infrastructure handling production traffic. Strong Python skills and experience building developer-facing APIs/SDKs or shared libraries Practical experience with GenAI systems, including vector retrieval, external provider APIs, and common issues. AI Expertise: You're a forefront user of Agentic AI. You're able to bring hands‑on experience and start influencing the team beyond code generation; reserving judgment for architecture, business logic, and security, using AI as a thought partner and being able to set up quality gates and safety nets to enhance existing engineering workflows and propose AI‑native alternatives. Sound knowledge of distributed systems, including high availability, concurrency, caching and rate limiting. Experience with at least one major public cloud, its services and infrastructure (preferably AWS). Hands‑on experience with distributed tracing, system telemetry, SLOs, and incident triage. Strong communication skills and at least C1 English level, plus willingness to join a paid on‑call rotation. Experience operating AI gateways or scalable model serving infrastructure. Familiarity with evaluation suites, prompt management, vector databases, or customized GenAI observability tooling. Experience with Metaflow, Databricks, or AWS SageMaker. Knowledge of hosting open‑source foundation models, optimizing GPU compute, dynamic scaling, and infrastructure cost controls. Familiarity with agentic workflows, multi-agent frameworks and tool‑use patterns. An open, collaborative, dynamic, and diverse culture; A generous monthly allowance for lessons on Preply.com, Learning & Development budget, and time off for your self-development; A competitive financial package with equity, leave allowance and health insurance; Access to free mental health support platforms; Access to Gympass-partnered wellness and gym centers throughout London to promote and support well-being and physical health; The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!). Care to change the world - We are passionate about our work and care deeply about its impact to be life changing. We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience. Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters. Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen. Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently. Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions. Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks. Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference. Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made. One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress. Preply.com is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status. #J-18808-Ljbffr

Description The Asset Risk Senior Risk Modeller role sits in the Asset Risk Function, which has the responsibility for forecasting Motability Operation's key financial risks, including Residual Value and SMR, Insurance Lease Pricing, Economic Capital, as well as producing the customer pricing. This role sits in the Asset Risk Modelling Team, operating in a matrix way of working, responsible delivering a strong model risk management framework, and ensuring all forecast models are robustly implemented, operated, enhanced and developed in conjunction with joint ownership for the outcomes and outputs with business SME's. Reporting into the Asset Risk Modelling Manager, the role has the following key responsibilities: You will proactively support and inform the delivery of the Asset Risk strategy in alignment with the needs of the wider business strategy You will work with the Modelling Manager to oversee the operational delivery of the model risk management framework in Asset Risk, ensuring model health, reporting, processing, auditing and reporting requirements are met and provide steer and challenge to ensure improvements are approved and delivered You will take the lead and proactively engage with the critical thinking and operational activity needed for the accurate and timely delivery of the critical BAU requirements for all key models associated with residual value forecasting, maintenance spend, customer pricing, and economic capital You will maintain a deep understanding of, and be responsible for the challenging of, the model components - design principles, use of data, assumptions, applied statistical and modelling techniques - for the BAU models, helping to create and deliver the effective communication required to bridge the gap between the models and Asset Risk deliverables You will take the lead and proactively engage with the critical thinking and activity required to deliver the strategic projects from the Modelling team, ensuring all deliverables and outcomes are jointly owned with business SME's You will work with the Modelling Lead to ensure the Modelling Team are as engaged with explaining and owning the outputs and outcomes as they are with operating and developing our models, and with the equivalent engagement from non-modelling teams You will proactively challenge the way we work, and feed into the Asset Risk Strategy roadmap, and support in ad hoc queries where possible You will form collaborative relationships to ensure the Model Team deliverables (BAU and strategic projects) are effectively managed and delivered in line with a matrix way of working approach across the Asset Risk Operational Teams and fellow Asset Risk output owners You will play a pivotal role in ensuring the AR Operational Teams (Programme, Product, Modelling and Data) work closely with each other to support on cross over areas (e.g. tools) and reduce the opportunity for knowledge gaps You will be an effective coach and mentor for the wider Modelling Team, working with the Modelling Manager to ensure the team and individuals have the right skills and development paths to meet the needs of the business. You will be an advocate for Asset Risk, and work with colleagues around the business to promote best practices and skills & knowledge sharing. You will proactively work with the Modelling Lead to engage with relevant 3rd parties (industry bodies, commentators and experts) to ensure Asset Risk activities are appropriately aligned with external best practice. Qualifications Planning: Ability to coordinate multiple stakeholders, colleagues and deadlines Modelling: Ability to understand, operate, and explain complex models Accuracy & attention to detail: Ensuring accuracy in models and forecasts. Problem solving skills: Ability to develop solutions for complex financial problems. Communication skills: Can explain technical concepts to non-technical stakeholders. Commercial awareness: Can understand the business environment, market trends, and the financial impact of decisions to align models with the organisation's strategic goals. Minimum criteria: A degree (Bachelor's or Masters) in Statistics, Mathematics, Economics, Data Science, or a related field Over 3 years of experience in forecasting, data analysis, or a related field Over 3 years experience of delivering complex model updates (operational and development) with the effective communication of model outcomes Proven experience with statistical software (e.g., R, Python, SAS) and forecasting tools Experience managing complex projects and coaching analysts Benefits Motability Operations is a unique organisation, virtually one of a kind. We combine a strong sense of purpose with a real commercial edge to ensure we provide the best possible worry-free mobility solutions to over 800,000 customers and their families across the UK. Customers exchange their higher rate mobility allowance to lease a range of affordable vehicles (cars, wheelchair accessible vehicles, scooters, and powered wheelchairs) with insurance, maintenance and breakdown assistance included. We are the largest car fleet operator in the UK (purchasing around 10% of all the new cars sold in the UK) and work with a network of around 5,000 car dealers and all the major manufacturers. We pride ourselves on delivering outstanding customer service, achieving an independently verified customer satisfaction rating of 9.8 out of 10. Our values are at the heart of everything we do. They represent ambition, and we look for our people to live and breathe them every day: We find solutions We drive change We care We operate hybrid working across the organisation where we split our time between working on-site at our offices, and at home, remotely within the UK. We believe hybrid working achieves a good work/life balance for our colleagues, allowing us to connect with each other, collaborate on important work, and perform together to deliver for our customers. It allows us to have the flexibility to work remotely up to 2-days per week whilst also using the great office spaces we have available. As a Motability Operations team member, you can expect: An annual discretionary bonus 15% non-contributory pension (9% non-contributory pension during probation period) Life assurance at 4 times your basic salary to give you peace of mind that your loved ones will receive some financial help Employee Discount Scheme with a huge number of retailers and an app to save on the go Discounted Electric/Hybrid Car Salary Sacrifice Scheme Access to the Cycle to Work Scheme (we have showers, changing rooms and secure bike sheds on site) As well as financial benefits, our staff's health and well-being are very important to us, so we also offer: 28 days annual leave with option to purchase and sell days Funded Private Medical Insurance cover Critical illness insurance Free access to healthcare apps, such as Peppy, Unmind, Aviva Digital GP Funded health screening for over 50s 1 day per year to volunteer - Staff can support a local charity or do a sponsored event whilst being paid for it Access to our fully accessible company allotment - Where we grow our own produce for local charitable organisations Access to Prayer room and quiet spaces whilst working in the office We also understand that not everyone is the same so offer several voluntary benefits that you can select outside the core package, these include; Dental Insurance Health and cancer screenings for you and your partner Discounted gym memberships Charitable giving At Motability Operations, we believe in building a diverse workforce, where our people are empowered to attend work as their true selves, and we encourage people from all backgrounds to apply. We want to sustain a culture that nurtures, where employees are free to flourish and where they're rewarded equally, regardless of race, nationality or ethnic origin, sexual orientation, age, disability, or gender. We pride ourselves on being an inclusive employer and as such, all our offices provide first rate disability access. With our hybrid working environment, we do our best to accommodate part-time and flexible working requests where possible, building on our culture of trust, empowerment, and flexibility. Please note, Motability Operations reserves the right to bring forward the closing date of any of its job vacancies if we receive a suitable number of quality applications from which to make a shortlist. Therefore, we recommend that you apply as soon as possible rather than wait until the published closing date. TPBN1_UKTJ

TRIP’s mission is to create calm in the everyday chaos for our community, offering next-generation wellness products to power their lifestyle and nurture mental wellbeing. TRIP’s mission is to create calm in the everyday chaos for our community, offering next-generation wellness products to power their lifestyle and nurture mental wellbeing. Co-founders, husband and wife team Olivia and Daniel discovered plant-based wellness after a transformative personal experience and decided to launch TRIP in 2019 to bring the most delicious, highest quality functional drinks and supplements to millions of people globally. Now the world’s #1 Calming Beverage Brand, TRIP’s award-winning drinks and wellness products are crafted with botanicals and adaptogens to help people relax, unwind and find balance. Since launch, TRIP has rapidly expanded from the UK to across Europe and North America, generating over $100 million in sales. TRIP products are now available in leading supermarkets, natural retailers and online. Our vision is to become the global leader in calming drinks and supplements. Synonymous with calm in the same way Red Bull is with energy. We move fast, think big and are committed to becoming the defining brand for a generation who drinks less but prioritises mental wellbeing more than ever. There has never been a better time to join our incredible team and be part of the movement! Quality sits at the heart of everything we do. Our products are held to the highest standards, and our customers expect nothing less. As Quality Manager, you work under the direction of the Sr. Director of Quality, Regulatory & Technical, who holds overall accountability for TRIP’s quality, food safety and technical programmes. You are the day-to-day responsible person who maintains and runs these programmes across TRIP’s full drinks and supplements portfolio, spanning every co‑manufacturer, ingredient supplier and market we operate in across the UK, US and EU. This is a broader, more senior remit than a market‑specific quality role: rather than running quality for one region, you maintain the one global quality management system that every co‑manufacturer, in every market, is held to, escalating material decisions and risks to the Sr Director. You are the operational counterpart to the Global Compliance Manager: day to day, you are responsible for quality, food safety, specifications, testing and technical documentation; they are responsible for regulatory compliance, claims, trademarks and legal matters. Together, you both report into the Sr. Director of Quality, Regulatory & Technical, who holds overall accountability for these programmes, and you work as close partners across supply chain, NPD, commercial and customer care. New product development, ingredient approval strategy and shelf‑life/stability sign‑off are owned by the Sr. Director, you provide the quality and technical input those decisions rely on, rather than approving independently. This is a hands‑on, cross‑border role. Expect regular contact with co‑manufacturers and suppliers across all three regions, supporting new product launches, managing incidents when they arise, and keeping our quality controls sharp — with occasional travel to visit co‑manufacturer and supplier sites in the UK and US. • Maintain and continuously improve TRIP’s global QMS, HACCP, prerequisite programmes, internal audit schedule and CAPA log, as a single system applied across every co‑manufacturer and market, not a market‑by‑market standard, under the direction of the Sr. Director of Quality, Regulatory & Technical., • Lead BRC (or equivalent GFSI‑benchmarked) alignment and development across the entire co‑manufacturer network., • Own product specifications, Bills of Materials (BOMs) and technical documentation globally, maintaining one master record set that UK, US and EU co‑manufacturers all work from, aligned with the compliance team’s MPCs., • Act as a key quality contact for TRIP’s co‑manufacturers and ingredient suppliers across our regions, working closely with the Sr. Director of Quality, Regulatory & Technical., • Support supplier approval, ongoing quality KPIs, audit schedules and corrective action plans for ingredients, packaging and finished goods, with support from the Sr. Director., • Conduct and coordinate supplier audits across our co‑manufacturer network; provide constructive, relationship first feedback that drives improvement without damaging commercial partnerships., • Perform risk assessments on raw materials and suppliers, escalating material risks to the Sr. Director of Quality, Regulatory & Technical with clear recommendations., • Support and help maintain the product testing programme, ensuring the TRIP range is tested in accordance with agreed schedules, regulatory requirements and internal quality standards, in collaboration with the Sr. Director, and communicated to co‑manufacturers., • Maintain Certificate of Analysis (COA) management and finished product standards across our co‑manufacturers, with support from the Sr. Director., • Monitor quality KPIs (out‑of‑specification incidents, customer complaints, defect rates, returns) and help drive continuous improvement activity as trends emerge., • Partner with the NPD and R&D teams to provide quality and technical input throughout new product development, from ingredient approval to launch., • Support trial execution, sensory alignment and packaging integrity checks for new products, and flag technical risk on shelf‑life and stability testing to the Sr. Director rather than signing off independently., • Help ensure new products reaching launch have complete quality documentation and finished product specifications on file., • Support complaint investigations and quality incidents from initial triage through root cause analysis and prevention of recurrence, keeping the Sr. Director informed on significant issues., • Support product recall readiness: help maintain the recall plan and act as quality lead should one be triggered, in collaboration with the Sr. Director., • Support the customer care team with technical knowledge on product quality queries and complaint resolution., • Help coordinate cross‑functional problem‑solving across operations, supply chain and NPD — and loop in the Global Compliance Manager whenever a quality issue crosses into regulatory territory., • Provide subject‑matter input into regulatory risk assessments, ingredient approval, claims substantiation and MPC/specification governance, in collaboration with the Sr. Director of Quality, Regulatory & Technical — while the Global Compliance Manager retains final regulatory and compliance sign‑off., • Keep product specifications and BOMs aligned with the compliance team’s MPCs and the Packaging Compliance Specialists’ artwork records. We are especially keen to hear from candidates with a consumer goods background specifically in functional/adaptogenic beverages and supplemented foods. Direct experience with US Dietary Supplements — Supplement Facts panels, cGMP under 21 CFR Part 111 — would be an exceptional, high‑value find for this role. • Degree in Food Science, Chemistry, Microbiology or a related discipline., • 5+ years’ experience in a quality or technical role within consumer goods — specifically functional beverages and/or food/dietary supplements — including experience managing quality across more than one market or region., • Hands‑on experience working with co‑packers or contract manufacturers, ideally spanning more than one country., • Strong working knowledge of HACCP, GMP, prerequisite programmes and food safety certification schemes (BRC, ISO 22000, GFSI)., • Proven ability to manage supplier quality at scale — audits, KPI reporting, corrective actions — across multiple sites and suppliers simultaneously., • Confident communicator, comfortable holding suppliers and co‑manufacturers to account across cultures and time zones while maintaining collaborative, long‑term relationships., • Comfortable operating as the day‑to‑day responsible owner of a global function under senior direction, with the judgement to know when to decide and when to elevate., • Working familiarity with UK, US and/or EU food and food‑supplement regulatory frameworks (FSA, MHRA, FDA) — not to own compliance, but to work fluently alongside the Global Compliance Manager., • Exposure to shelf‑life and stability testing in beverages, including packaging interactions and carbonation, sufficient to support the Sr. Director’s sign‑off with technical detail., • Experience in a scale‑up or high‑growth, multi‑market FMCG environment., • Prior experience building or maturing a QMS/BRC programme from the ground up., • Direct experience with US Dietary Supplements (Supplement Facts, 21 CFR Part 111 cGMP) — this would be a standout, exceptional fit for the role., • Background in functional/adaptogenic beverage CPG, alongside food or dietary supplement quality experience., • The opportunity to be at the heart of one of the fastest growing brands in the health & wellness space!, • Lovely, bright and spacious office 1 minute from Notting Hill Gate station, surrounded by TRIP pastel‑coloured houses!, • Salary: DOE, • 4 days per week in the office with the option to work from home on a Friday, • Private Healthcare with Vitality including Virgin Gym 50% off, • Holiday: 24 days + birthday off!, • 1 Wellness Day, • Pension plan, • Potential to take part in the company share scheme, • TRIP product discount & Friends+Family codes, • Mindfulness support with Calm App membership, • Breakfast and snacks provided, • Sleep support with monthly Dream Drops CBD Oil allowance, • Working from Anywhere policy: 2 weeks per year in a maximum of 2 blocks, • Sabbatical: After 2 years of service, you may apply for a sabbatical of up to 6 weeks, subject to policy, • Dog Friendly office, • Regular team socials & events #J-18808-Ljbffr

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As an Applied AI team member at Anthropic, you will be a pre-sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You’ll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you’ll guide customers from initial technical discovery through successful deployment. You’ll leverage your expertise to help customers understand Claude’s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. • Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation, • Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success, • Support customers building with both the Claude API and Claude for Work, • Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives, • Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack, • Help customers develop evaluation frameworks to measure Claude’s performance for their specific use cases, • Identify common integration patterns and contribute insights back to our Product and Engineering teams, • Travel occasionally to customer sites for workshops, technical deep dives, and relationship building, • Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns, • 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager, • Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders, • Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more, • Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders, • Experience designing scalable cloud architectures and integrating with enterprise systems, • Comfortable with python, • Familiarity with common LLM frameworks and tools or a background in machine learning or data science, • Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities, • A love of teaching, mentoring, and helping others succeed, • Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities, • Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £165,000 — £190,000 GBP Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study:A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you’re interested in this work. We think AI systems like the ones we’re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you’re ever unsure about a communication, don’t click any links—visit anthropic.com/careers directly for confirmed position openings. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We’re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates’ AI Usage:Learn aboutour policy for using AI in our application process. #J-18808-Ljbffr

Job Summary We have an exciting and rewarding opportunity for an experienced Software Engineering Leader to join JPMorgan Chase. As a Lead Software Engineer within Asset & Wealth Management Risk Technology, you will lead the design, development and evolution of a business-critical risk analytics and reporting platform used by Risk managers and senior leadership across the firm. You will partner closely with Product, Risk, Data, Architecture, and Engineering teams to deliver secure, scalable and resilient technology solutions that enable better risk oversight, decision making and operational efficiency. In addition to driving delivery and technical excellence, you will help shape the adoption of AI-powered capabilities that enhance analytics, automation and user experience while maintaining strong governance and controls. This role requires a combination of deep technical expertise, engineering leadership, stakeholder management and a passion for solving complex business and data challenges at scale. Additional responsibilities: • Lead the technical strategy, architecture and roadmap for a large-scale risk analytics and reporting platform., • Lead the evolution of the platform's front-end architecture, including micro-frontend strategies, domain-driven UI design, modular deployment patterns, and reusable user experience capabilities across multiple business domains., • Define and govern UI architecture standards, design systems, extensibility frameworks, and frontend engineering best practices to enable scalable and consistent product development across teams., • Partner directly with Risk, Product and Data stakeholders to understand business priorities and translate them into scalable technology solutions., • Drive platform reliability, resiliency, observability and operational excellence, including root cause analysis and continuous improvement activities., • Lead integration across multiple internal platforms, services and data sources., • Evaluate and implement AI, machine learning and generative AI capabilities to improve analytics, user productivity, decision support and workflow automation., • Ensure solutions meet firm standards for security, controls, governance, resiliency and compliance. Required qualifications, capabilities and skills • Formal training or certification in Software Engineering, Computer Science or a related discipline and extensive applied experience., • Strong hands-on experience with Java and modern application development frameworks., • Deep experience designing and building modern user interfaces using ReactJS or similar technologies, including micro-frontend architectures, component-based design systems, and scalable frontend engineering patterns., • Experience working with high-volume data processing, analytics or reporting platforms., • Proven experience designing and delivering large-scale distributed applications in a complex enterprise environment., • Strong knowledge of software architecture, design patterns, system integration and API development., • Strong practical experience with AWS, containerization technologies and cloud-native architectures., • Experience with CI/CD, automated testing, application resiliency and operational excellence practices., • Experience leading technical delivery across multiple teams and stakeholders., • Excellent communication and stakeholder management skills. Preferred qualifications • Experience integrating large language models (LLMs), intelligent assistants or AI-driven workflow automation into business applications., • Understanding of AI governance, model controls, explainability and responsible AI practices., • Experience delivering analytics, decision-support or risk-management solutions powered by AI technologies. J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Carry out critical tech solutions across multiple technical areas as an integral part of an agile team. #J-18808-Ljbffr

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co. We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions Full-time /London (Engineering) Applied Intuition UK is a software and infrastructure supplier that accelerates the deployment of next-generation autonomous capabilities to the warfighter across air, land, sea, and space. A subsidiary of Applied Intuition, we deliver dual-use solutions to national security customers that build upon several years of product development and experience from commercial autonomy programs. Based in London, our seasoned defence team hails from Palantir, Anduril, SpaceX, Google, Lockheed Martin, and the UK and US Armed Services. Learn more at appliedintuitiondefense.com. As a senior software engineer on the UK engineering team, your day-to-day activities will vary. Somedays you might find yourself in the field, working alongside our forward deployment team integrating with customer platforms and technologies, other days you might be leading the design on a brand-new product to satisfy the requirements of various different customers and partners that we work with. Every day is different, and each day is exciting. You are given the opportunity to showcase the skills you’ve learned during your career, and teach the more junior members of the team. You will build, test and deploy your software and watch it actually be used. • Lead the design, development, and optimization of new tools and products, taking them through from incubation all the way to production, • Spot the ineffectiveness of the processes and code you work with daily to ensure the team are always working to the best of their abilities, • Integrate software from customers and other teams into the products we are making, • Write, test, and debug efficient modern C++ code for complex software solutions with the help of AI tooling, • Work closely with product managers and customers to understand requirements and translate them into technical solutions, • Train and mentor junior engineers as we grow the UK team, fostering a culture of learning and improvement, • Build awesome software that you are proud of, • Bachelor’s degree in computer science/related engineering field, • 5+ years of hands-on experience developing performant modern C++, or high willingness to learn C++ which is our primary programming language for all development, • Strong procedural and object-oriented programming experience that employs clean code principles and good OOP design patterns/principles, • Experience developing in Docker and containerized development environments, and using Linux-based operating systems, • General willingness to travel for company business between our offices, as well as to customer sites, • Must have ability to hold UK Security Clearance (current or previous preferred), • 7+ years of experience developing software in modern C++ and Python, • Experience working on distributed systems, with simulation technology and autonomy, • Experience with Bazel, Nix and other similar technologies, • Experience deploying to, and working with infrastructure technologies, • Experience working projects related to national security for one or more government agencies, • References who will describe them as low-ego, highly motivated, thoughtfully opinionated, strong communicators and curious listeners Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws. Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. If you require an accommodation please contact . We will work with you! #J-18808-Ljbffr

Enterprise Architect — Artificial Intelligence AI/ML Infrastructure, Platform & Governance World Wide Technology is looking for a deeply technical Enterprise Architect who will own the delivery of AI projects end to end from the silicon and data center design that underpins AI workloads, through the software and MLOps stack, to the governance frameworks that make AI trustworthy and defensible at scale. This is a technical hardware-and-software architect role, not a strategy-only position. The successful candidate operates comfortably across GPU infrastructure, high-performance networking, model training and inference pipelines, and the AI risk/governance disciplines increasingly demanded by regulators and enterprise boards. The Enterprise Architect will lead technical delivery teams for client engagements, acting as the single point of technical accountability from design through to go-live, while mentoring delivery teams and shaping WWT's broader AI point of view. • Own end-to-end technical delivery of AI/ML engagements: architecture definition, design authority, build oversight, and go-live validation., • Host and chair Architecture Review Board (ARB) and Technical Design Authority (TDA) sessions for AI engagements, owning governance gates, decision records, and design sign-off., • Architect AI infrastructure spanning GPU/accelerator compute, high-performance interconnects ,parallel/high-throughput storage, and orchestration, • Design the AI software stack: training and fine-tuning pipelines, distributed training frameworks, inference/serving platforms, MLOps/LLMOps tooling, vector databases, and retrieval-augmented generation (RAG) and agentic architectures., • Define and AI governance frameworks covering model risk management, responsible AI, data lineage, bias/fairness testing, explainability, and regulatory alignment (EU AI Act, NIST AI RMF, ISO/IEC 42001)., • Act as trusted technical advisor to client CTOs, CIOs and Heads of Data/AI on platform strategy, build-vs-buy decisions, and AI operating model design., • Lead technical workshops, architecture design sessions, and proof-of-concept builds with cross-functional engineering, data science, and security teams., • Serve as the technical escalation point for delivery teams; unblock design and implementation issues under time pressure., • Mentor other architects and engineers on AI systems design, uplifting AI depth across the practice., • Partner with sales and pre-sales to scope AI solutions, size infrastructure, and validate technical feasibility of proposed architectures., • Define automation, orchestration, and observability standards across the AI stack, from GPU cluster provisioning through to model monitoring in production., • Architect integration points connecting AI platforms to existing enterprise networks, third-party systems, and external or service-provider-hosted environments (e.g. colocation, managed GPU-as-a-service, external inference endpoints)., • Track the fast-moving AI landscape — new model architectures, silicon, frameworks and regulation — and translate relevant developments into WWT's delivery methodology and client recommendations., • 10+ years in enterprise architecture, infrastructure engineering, or platform engineering roles., • 5+ years focused specifically on AI/ML systems design and delivery, including at least 2 years working with generative AI/LLM workloads., • Demonstrated track record leading technical delivery (not just advisory) on enterprise-scale AI or HPC infrastructure programmes., • GPU/accelerator architectures: NVIDIA / AMD, including multi-node scale-out design., • Accelerator interconnects: NVLink, NVSwitch, • High-performance networking: InfiniBand and RoCEv2 fabric design, 400G/800G Ethernet, rail-optimized topologies for AI clusters., • Data center facilities: power density, liquid cooling, and rack-level design considerations specific to AI compute., • Storage: parallel and high-throughput file systems (e.g. Everpure, WEKA, VAST, NetApp) sized for training and checkpointing workloads., • ML frameworks: PyTorch and TensorFlow at a working, hands-on level., • Distributed training: Horovod, DeepSpeed, Megatron-LM, or equivalent multi-node training frameworks., • Inference & serving: NVIDIA Triton, vLLM, TensorRT-LLM, or equivalent high-throughput serving platforms., • MLOps/LLMOps: Kubeflow, MLflow, and at least one hyperscaler ML platform (SageMaker, Azure ML, or Vertex AI)., • Generative AI: LLM fine-tuning (LoRA/QLoRA), RAG architecture design, vector databases (Pinecone, Milvus, Weaviate), and agentic frameworks (LangChain, LangGraph, Semantic Kernel)., • Data pipelines: data lake/lakehouse architectures, ETL/ELT, and data quality/lineage tooling that feed AI systems., • Infrastructure-as-code: Terraform and Ansible for repeatable, automated provisioning of GPU clusters and AI platform environments; GitOps (ArgoCD) for continuous, declarative platform delivery., • Pipeline orchestration: Kubeflow Pipelines, Apache Airflow, or Argo Workflows to orchestrate multi-stage training, fine-tuning, and inference pipelines., • Cluster & workload scheduling: Slurm, Run:ai, and NVIDIA Base Command Manager for GPU job scheduling; Kubernetes-native GPU scheduling including device plugins and MIG partitioning for multi-tenant clusters., • CI/CD/CT for ML: automated model testing, validation gates, and promotion pipelines (continuous training/continuous delivery) that move models safely from experimentation to production., • Infrastructure & GPU observability: NVIDIA DCGM, Prometheus/Grafana, and related telemetry stacks for GPU utilization, thermal, and cluster health monitoring., • Model & LLM observability: production model performance monitoring, data/concept drift detection, and LLM-specific observability (token usage, latency, cost, hallucination/quality metrics) using tools such as Arize, WhyLabs, or Langfuse., • Logging & tracing: centralized logging (ELK/OpenSearch) and distributed tracing (OpenTelemetry) across data, training, and inference pipelines for end-to-end root‑cause analysis., • Platform integration: API-based and event-driven integration of AI platforms with enterprise systems, using REST/gRPC APIs and message/event streaming platforms (e.g. Kafka)., • Enterprise network integration: designing connectivity between AI/GPU infrastructure and existing campus, data center, and WAN environments, including capacity and latency planning for east‑west training traffic and north‑south inference traffic., • Hybrid & multi-cloud connectivity: integrating on-premises AI platforms with cloud AI services via dedicated interconnects (Direct Connect, ExpressRoute) and multi-cloud/hybrid connectivity patterns for distributed training or burst inference., • Service provider & third‑party integration: experience architecting connections into external or service‑provider‑hosted environments — colocation interconnects, managed GPU-as-a-service offerings, and third‑party/external inference endpoints — including the commercial and technical boundary considerations involved., • Secure exposure of AI services: working knowledge of API gateways, service mesh, and mutual TLS as applied to exposing or consuming AI services safely across organizational and network boundaries., • Cross-functional design: proven ability to partner directly with network and security architects to define end‑to‑end integration architecture spanning AI platforms, enterprise networks, and external/customer environments., • Working knowledge of model risk management frameworks and responsible AI principles (fairness, explainability, human oversight)., • Familiarity with data privacy regulation (GDPR, CCPA) as applied to AI training and inference data., • Working knowledge of emerging AI‑specific regulation and standards: EU AI Act, NIST AI Risk Management Framework, ISO/IEC 42001., • Experience establishing model documentation, audit trail, and approval‑gate processes for production AI systems., • AI‑specific security fundamentals: model security, prompt‑injection defenses, supply chain security for open‑source/open‑weight models., • Solutions‑architect level expertise in at least one hyperscaler (AWS, Azure, or GCP), including their native AI/ML services., • Ability to design for hybrid on‑premises/cloud AI deployments, including data residency and sovereignty constraints., • Proven experience hosting and chairing formal Architecture Review Board (ARB) and Technical Design Authority (TDA) forums, including agenda ownership, decision logging, and stakeholder facilitation., • Ability to define and operate governance gates across the engagement lifecycle: design authority sign‑off, change control, and exception/waiver management for AI platform decisions., • Experience producing and maintaining architecture decision records (ADRs), design standards, and reference architectures that are actively enforced through ARB/TDA governance., • Comfortable presenting and defending architecture decisions to senior client governance bodies, including constructively challenging non-compliant or high-risk designs., • Excellent executive communication and presentation skills; able to flex between deep technical detail and C‑suite framing., • Proven ability to author low‑level design (LLD) and high‑level design (HLD) documentation to a professional services standard., • Experience running technical design workshops with senior client stakeholders and multi‑vendor delivery teams., • NVIDIA certifications (NCP‑AI Infrastructure, or NVIDIA Deep Learning Institute credentials) — strongly preferred., • Cloud AI/ML certification: AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Google Professional Machine Learning Engineer — at least one preferred., • Kubernetes: CKA or CKAD — preferred., • TOGAF 9/10 or equivalent enterprise architecture certification — beneficial. Depth in the specialist area above is mandatory. Experience in the following adjacent domains is a strong plus and will be valued in candidate evaluation, since it enables broader solution ownership across engagements. • Networking and data center design (routing/switching, fabric architectures)., • Storage architecture (all‑flash arrays, software‑defined storage, parallel file systems)., • Cybersecurity architecture, particularly zero trust and data protection., • Traditional enterprise application and integration architecture., • Software development background (Python, Go, or similar) for tooling and automation., • Virtualization/private cloud platforms (VMware, OpenShift/OpenStack), given increasing convergence with AI infrastructure., • Leads technical delivery independently with minimal oversight; comfortable being the final technical authority on an engagement., • Mentors junior and mid-level architects and engineers, raising the technical bar across the team., • Builds credibility quickly with highly technical client stakeholders as well as executive sponsors., • Thrives on ambiguity in a fast-moving technology space; makes sound architectural calls with incomplete information., • Collaborates effectively across sales, pre‑sales, delivery, and partner (NVIDIA, hyperscaler, ISV) teams., • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent demonstrable experience., • Advanced degree (MS in CS/AI/ML or related) beneficial but not required given sufficient hands‑on depth., • Continuous, demonstrable learning in AI — publications, open‑source contributions, conference speaking, or lab‑based experimentation are all valued signals. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. Applicants to and employees of most private employers, state and local governments, educational institutions, employment agencies and labor organizations are protected under Federal law from discrimination. EEO is the Law #J-18808-Ljbffr

Relation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the‑art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. By joining Relation, you will help define how medicines are discovered and deliver meaningful impact for patients. Relation is offering an outstanding opportunity for a Senior Machine Learning Research Engineer to help build and scale the next generation of generative and predictive models of cellular behaviour. Research Engineers at Relation are software engineers with a deep understanding of machine learning and deep learning, acting as a critical bridge between theory and implementation: designing, building, and scaling the complex systems on which our ML research depends. You'll be joining a team with access to cutting‑edge multiomic and interventional datasets, advanced computational infrastructure, and deep interdisciplinary expertise, and a culture that embraces modern ML tooling, including agentic workflows. Key responsibilities include implementing and optimising large neural network models; building robust infrastructure for distributed training, evaluation, and inference; and partnering with ML Scientists to take research from prototype to production‑grade systems applied to large, multi‑modal biological data, tested directly in experimental biology. Implement and optimise large models, partnering with ML Scientists to translate research ideas into reproducible, scalable training pipelines. Profile and optimise training across compute, memory, and I/O, pursuing measurable gains in throughput, convergence, and stability. Design and implement distributed training strategies across multi‑GPU and multi‑node configurations. Build and maintain core ML infrastructure. Contribute to architectural and algorithmic decisions, bringing engineering judgment into research discussions. Optimise inference and downstream deployment so models can be used by data scientists and biologists in our discovery workflows. Address numerical, performance, and reliability issues across the stack. Establish and maintain engineering practices in research code. Track developments in ML systems and bring relevant advances into our stack. A degree in Computer Science, Engineering, Physics, or a related quantitative discipline; industry experience as an ML / research engineer working on large neural network training. Strong software engineering fundamentals in Python and deep expertise in PyTorch (or equivalent modern ML frameworks). Hands‑on experience training large neural networks at scale, including distributed training frameworks. Demonstrable experience profiling and optimising GPU workloads. Working knowledge of cloud‑based ML infrastructure and containerised environments. A track record of taking research code from prototype to robust, reusable infrastructure that other people actually use. Bonus experience: CUDA / Triton kernel development; FlashAttention‑style attention implementations; experience with foundation models for biology, vision, or language; contributions to open‑source ML frameworks. Are comfortable working in a matrixed environment, balancing multiple stakeholders and contributing effectively across teams. Take ownership of your work, proactively seek opportunities to contribute, and enable others to do their best work. Communicate openly and directly, give and receive feedback constructively, and handle challenging conversations with respect. Actively seek out diverse perspectives, build strong working relationships, and contribute to shared goals across teams. Embrace challenges with openness and resilience, set high standards for yourself, and strive to deliver meaningful outcomes. At Relation, we operate in a matrixed, interdisciplinary environment, where impact is driven through collaboration across scientific, technical, and operational domains. We collaborate, and you will partner with colleagues across multiple teams and projects, contributing your expertise while aligning to shared company priorities. We work together and win together! The patient is waiting! Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs. #J-18808-Ljbffr

Location: Oxford or London (Hybrid) The Mission: Why We Exist Genomics is a science-led transatlantic TechBio combining large-scale genetic and health data with proprietary analytics to accelerate drug discovery and advance predictive, preventative healthcare. We are united by a single vision to help people live longer healthier lives, using the power of genomics. Genomics aims to help people live longer, healthier lives in two ways: super-charging drug discovery and development for novel treatments with our AI-enabled advanced genetic analytics platform, and by helping people understand their personal risk of common chronic diseases through polygenic risk scores - giving doctors and health systems the chance to get the right people into the right prevention, screening and treatment programmes at the right time. We’re looking for an exceptional Data Scientist with a strong background in human genetics and genomics, and advanced skills in data science, statistics and computational analysis. You might be a great fit for this role if you’re a methods-oriented domain specialist within the broad field of genomics with some exposure to software engineering practices and an interest in developing that side of your skillset. The primary purpose of the role is to develop and integrate support for processing, quality control and analysis of new types of data into our production and research software tools. You’ll join a team of experts in human genetics, data science and software engineering, building the platform at the heart of our Life Sciences work – helping us derive new insights into human biology and guide drug development towards safer, more effective targets. How your time splits across data processing workflows, statistical methods and software engineering will reflect your own balance of scientific and computational strengths, with an emphasis on genetics domain expertise and data analysis, including processing and interpreting functional genomics data. This role can be hired at IC2 (Data Scientist) or IC3 (Senior Data Scientist) level, depending on your experience. At IC3, you’ll operate with greater autonomy, hold a broader scientific scope, bring deeper subject-matter expertise, and lead analyses that integrate multiple genomic data sources, working with cross-disciplinary teams to deliver value. At the heart of this role is the opportunity to expand and improve how we use data and cutting edge methods to identify and validate effective and safe drug targets via deeper understanding of disease mechanisms. Identify innovative uses of new types of data for integration into our data and analytics platform. E.g from functional genomics and perturbation screens, molecular profiling and expression atlases, genomic and functional annotations, and curated interaction, pathway and ontology resources. Implement production quality code for processing, transforming and quality control of new data types for integration into our larger data model Contribute to and implement statistical and machine learning methods to a high standard of robustness, validation and reproducibility. Contribute to internal and external presentations and publications arising from our work. Keep your knowledge current on innovation and good practice in genomics, functional genomics and statistical genetics. At Senior (IC3) level, you’ll also lead projects that integrate multiple functional genomics and genetic data sources, coordinating with cross-disciplinary teams to deliver value. Strong knowledge of human genetics and functional or clinical genomics, and the ability to apply it to research questions. Skilled at analysing and learning from large-scale biological datasets, including statistical and machine learning methods. Experienced processing and interpreting data from functional genomics, molecular and expression atlases, genomic annotations, and curated pathway and interaction resources, including quality control. Competent writing code in Python and/or R for data analysis, with an appreciation of good software development practice. Comfortable using LLM programming assistants appropriately within a research analysis environment. Experienced running tools and workflows in a scalable system, for example Linux based HPC environments or on cloud systems. Experience working on a collaborative codebase using version control and CI/CD. Experience working in remote, cloud-based environments, e.g. AWS. Prior experience working in a team, ideally in an industry setting. A PhD or postgraduate degree in genetics, genomics, computational biology or bioinformatics, or statistics and machine learning applied in these fields. Your Package We are committed to providing a transparent, supportive, and rewarding work environment. Competitive Salary: Salaries are externally benchmarked annually to ensure competitive compensation. Clear Career Path: A straightforward, open progression framework means you’ll always know the path to promotion and how to achieve your next career goal. Continuous Learning: Including external courses and a wide library of L&D materials, because your growth is our success. Holiday: 25 days annual leave, plus bank holidays, plus an extra 3-day company-wide shutdown at year-end. Financial & Health Security: Robust benefits including a market-leading pension scheme, comprehensive private health insurance for you and your family with NO excess, critical illness, and life assurance. Enhanced Leave: Enhanced paid family leave to support all new parents. Flexible Working: Hybrid Working (e.g., From our London, Oxford Office) Truly Inclusive Time Off: Our 'Bank Your Bank Holiday' program allows you to exchange public holidays for dates that hold personal or cultural significance to you. Vibrant Social Culture: From regular Town Halls and team picnics to organised sports events, our social committee ensures frequent opportunities to connect and celebrate. Green Commute: Cycle-to-Work scheme and convenient office locations near major transport hubs. Ready to Build the Future? If this opportunity excites you, We are dedicated to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Genomics politely requests no contact from recruitment agencies. We do not accept speculative CVs from recruitment agencies nor accept the fees associated with them. #J-18808-Ljbffr

We don’t just believe in better. We make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Data science is at the heart of decision making in Sky and drives a majority of decisions across marketing, customer interactions and customer services at Sky. In the Advanced Analytics team, we are scaling up our data science practice to transform how we manage customers across all life cycles for both experience profitability. We have built and successfully deployed intelligence into Sky and are already delivering realisable value into the business. We gather a very large amount of data on customer behaviours and interactions and are looking for data scientists to extract value from our data assets and maximise customer value. • Develop and drive actionable customer intelligence from our core data assets using advanced analytics, • Build AI and machine learning solutions using our rich data, including product holding, demographics, product usage, customer service interactions and customer metrics, • Develop predictive models for churn, lifetime value, customer segmentation and other customer-focused use cases, • Explore and build AI agents that automate analysis, speed up insight generation and support better customer decisions, • Work with stakeholders to define objectives and turn business needs into analytical solutions, • Partner with technology teams and data engineers to build compliant, efficient and scalable solutions for customer treatments at Sky, • Strengthen our data science capabilities by trying new ideas, testing emerging AI tools and supporting the development of our people, • Lead projects with 1-2 team members, planning tasks and delegating appropriately, • Strong hands-on experience in advanced analytics and machine learning, including forecasting, predictive modelling, optimisation and clustering, • Proven track record of building and deploying large-scale AI/ML solutions in cloud environments, • Ability to quickly understand business objectives, solve complex problems and communicate insights clearly to senior stakeholders, • Excellent Python skills using Scikit-learn and PyTorch, experience working in VS Code with AI-assisted coding tools, and knowledge of MLOps for production deployment, • Familiarity with generative AI, AI agents and agentic workflows, and an interest in applying them to real business problems There's one thing people can't stop talking about when it comes to life at Sky: the perks. Here’s a taster: • Free Sky TV or NOW package including Sky Sports and Sky Cinema, • Pension packagewith up to 9% employer contribution, • Private healthcarewith mental health support, • Aviva Digital GP and dental insurance, • Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect, • Sharesave and Tech schemes, • A range of Sky VIP rewards and experiences We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week. Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There’s also plenty of bike shelters and showers. On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We’re Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you’ll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. We’re an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates.We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need as early as you can. Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position. To find out more about working with us, search #LifeAtSky on social media. #J-18808-Ljbffr

• PhD in Wet-Lab Virology, Microbiology, Biology, or a related field, or equivalent practical experience., • 3 years of wet-lab experience with dual-use research, high-consequence pathogens, or biological toxins., • Experience utilizing LLMs or narrow-use AI models to analyze and mitigate biological risks., • Authored peer-reviewed publications across microbiology, virology, host-pathogen interactions, protein biochemistry, or immunology., • Experience working in AI safety, evaluations, red-teaming, or applied AI research at a national laboratory, academic institution, or industry setting., • Experience in using command line tools or coding., • Proven application of biosecurity and biosafety concepts, including identifying misuse scenarios of emerging technologies., • Knowledge of challenges of biological weapons, the biological threat landscape, potential mitigations and awareness of relevant stakeholders., • Knowledge of the intersection of microbiology/virology within AI safety and Safety Frameworks in AI., • Active security clearance, or the eligibility to obtain and maintain one. Google’s CBRNE team (Chemical, Biological, Radiological, Nuclear and Explosives) makes sure that as Gemini gets better at science, it does not become a tool for catastrophic harm. We would like to invite applications from qualified biologists/microbiologists for the position of a biologist/microbiologist Subject Matter Expert (SME) in the CBRNE team within the Responsible Frontier AI Research (RFAIR) team, joining SMEs with broad experience across biology. You will work as a Research Scientist, serving as a technical expert responsible for evaluating and mitigating safety risks of frontier AI models (primarily but not limited to LLMs) in the biology domain; specifically, model assistance in the acquisition, development and dissemination of harmful biological agents and other dual use entities. Artificial intelligence will be one of humanity’s most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. • Be responsible to test, evaluate, and mitigate harmful capabilities of frontier AI models in the biology domain., • Design, develop and execute biology evaluations, assessments, frameworks, and red-teaming strategies to test the capability, safety, and uplift of AI models and support the development of mitigations., • Collaborate with CBRNE/Responsibility engineers to ensure blocks on harmful outputs without overly degrading the model's scientific utility, requiring a deep understanding of dual use science., • Partner with experts in various fields of CBRN, science, AI ethics, policy and safety., • Support the ongoing development and refinement of Google’s CBRNE safety policy, and clearly communicating complex risks, evaluation findings, and mitigation strategies to leadership and technical and non-technical external stakeholders. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. • Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right. #J-18808-Ljbffr

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As an Applied AI Engineer on our Enterprise team, your role is to guide some of the UK's largest businesses to the frontier of AI and help them deploy Claude into their operations, their products, and their ways of working. You will become the go-to Claude Platform specialist and trusted technical advisor for your customers, advising their engineering teams on architecture, agent design, and evaluation, and working with the C-level and senior executives who sponsor these programmes to show the business value Claude can create and help them reach a confident decision to build on Claude. Enterprise deals are different. Procurement cycles are longer, more stakeholders are involved, and success depends on being able to connect the technical work to the outcomes the boardroom cares about. You will be as comfortable advising an engineering team on evaluation and architecture as you are presenting a value case to a CIO or CTO, and you will carry the technical thread across every stage of a multi‑quarter engagement. You will partner closely with Enterprise Account Executives and Applied AI Architects to take each customer from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude. Once they have decided, you set their systems integration partner up to deliver, agreeing the target architecture and what good looks like, and you stay close as the customer's technical advisor on Claude throughout deployment, while the partner does the build. Working alongside Anthropic's Product and Engineering teams, you will use your knowledge of the Claude Platform to advise on evaluation, recommend architectures that meet enterprise security and scale requirements, and create the technical and business resources that help large organisations succeed with Claude. • Partner with Enterprise Account Executives and Applied AI Architects to take UK enterprise customers from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude, • Lead the technical side of each opportunity, then remain the customer's technical advisor on Claude as they deploy, • Set customers and their systems integration partners up to deliver: agree the target architecture, define what good looks like, and advise the delivery team as the build progresses, • Help customer engineering teams see how they would build on Claude, covering architecture, agent design and evaluation, • Build and present the business value case for Claude to C-level and senior executives, linking technical capabilities to measurable outcomes such as cost, revenue, risk, and time to market, • Guide customers through long, multi‑stakeholder procurement, including security and architecture reviews and a clear path to production, navigating security, compliance, data residency and governance requirements (including UK GDPR), • Feed patterns from enterprise engagements back to Product, Engineering, and the wider Applied AI team, and travel to customer sites across the UK, • 6+ years of experience as a Software Engineer, Solutions Architect, Forward Deployed Engineer, or technical founder, • Pre-sales or technical advisory experience selling into large enterprises, ideally in the UK, including owning the technical win (evaluations, proofs of concept, due diligence with security, legal and procurement), • Experience with value-based selling and presenting a business case to C-level and VP-level stakeholders, • Production experience with LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, • Familiarity with enterprise security, compliance, and architecture requirements, ideally in regulated sectors, • The ability to explain complex AI concepts clearly to both technical and executive audiences, and a passion for making powerful technology safe and beneficial The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £225,000—£255,000 GBP Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study:A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you ----- addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visitanthropic.com/careersdirectly for confirmed position openings. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:Learn about our policy for using AI in our application process. #J-18808-Ljbffr

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Role: As an Applied Value Engineer, you are pushing the envelope, solving business-critical problems for our customers. Working with our most strategic global accounts, you will diagnose their strategy and key operational challenges to discover and build tailored, domain-specific use cases. You will architect and prototype state-of-the-art AI and technical solutions on the Celonis platform, demonstrate their business impact to C-suite Executives, and ensure successful implementation, adoption, and value realization. The work you’ll do: • Discovery & AI Solutioning: Translate domain expertise, product knowledge, and specific customer requirements into flawless project execution. You will execute technical discovery, allowing you to prototype and build bespoke, state-of-the-art AI solutions that precisely target nuanced, industry-specific operational pain points., • AI Solution Development: Drive the end-to-end execution of business-critical Proof-of-Value (PoV) projects. Deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks., • Value Selling & Realization: Maintain active technical and advisory involvement with strategic accounts, ensuring the project remains on track until agreed-upon value, adoption thresholds, and operational transformations are achieved., • Domain & Industry Specialization: Leverage domain expertise to build industry-specific E2E solutions. Contribute to codifying this work into reusable methodology and assets to accelerate team-wide time-to-value. The qualifications you need: • Executive-Facing Presales & Value Engineering (2+ years): Demonstrated experience supporting the technical close and driving compelling AI transformation narratives. Requires a proven background in accountable PoV execution, ROI/TCO modeling, and showcasing the "Art of the Possible" by pitching visionary solutions to hidden problems., • Domain & Industry Expertise: Solid knowledge of core business processes and industry landscapes (e.g., supply chain, finance). Ability to speak the language of business leaders and connect operational bottlenecks to strategic AI solutions., • Software/Data Engineering: Python proficiency, API design, SQL, data integration, and ML/AI libraries (PyTorch, TensorFlow, scikit-learn, XGBoost, Hugging Face Transformers)., • Agentic AI Systems: Hands-on experience with agentic AI setups including LLM orchestration, tool use/function calling, RAG, agents, prompt engineering, or agentic patterns for enterprise workflows., • Production ML/LLMOps: Experience with model deployment, monitoring, MLOps/LLMOps, and lifecycle management across cloud services (AWS Bedrock, Azure AI, GCP Vertex AI)., • AI Architecture & Security: Understanding of cloud reference architectures, identity and access, data governance, privacy, and compliance., • Math & Operations Research: Applied knowledge of linear/nonlinear optimization, statistical analysis, reinforcement learning, and forecasting is a plus., • Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos. Flawless English with exceptional executive presence., • Degree: Masters Degree in computer science, engineering, mathematics, business engineering, business information or related fields , or equivalent work experience preferred. What Celonis can offer you: • Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations., • Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants., • Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment., • Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration., • Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform., • Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance., • Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually., • Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued., • Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision. About Us: Celonis is the trusted platform to industrialize Enterprise AI, empowering organizations to analyze, design, and operate AI-driven processes. The Celonis Platform is powered by the Celonis Context Model, which combines process data, business knowledge, and intelligence to create a living digital twin of the enterprise that AI can understand — turning AI’s operational blind spots into operational clarity. Industry-leading companies around the world trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Get familiar with the Celonis Process Intelligence Platform by watching this video . At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen. Please be aware of common job offer scams, impersonators and frauds. Learn more here . At Celonis, we believe #TheBestTeamWins when everyone counts. We celebrate the differences and individuality of all our employees and understand the value of having a variety of experiences, backgrounds, knowledge bases, and perspectives at play in our teams. We encourage people of all different backgrounds to apply. All employment decisions are based on qualifications and merit. We will now ask some voluntary questions that help us build an accurate picture of our applicant and workforce representation. In accordance with the Celonis Privacy Notice for the Application and Hiring Process , this information will be kept confidential, it will not be used to make hiring decisions and it and choosing not to answer will not affect your application in any way. 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