Research engineer jobs in United Kingdom

Job Description: Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world’s largest organisations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. FM Renewable Energy is seeking an underwriter to join our Renewable Energy Construction team, supporting a global portfolio of renewable energy clients and construction projects. This role will support our clients and broader client service teams in structuring programs, placing reinsurance, and will lead the underwriting assessment process through application of their authority and documentation of conclusions in FM systems and applications. Close collaboration will be required with the Account Manager, Renewable Engineer, broker partners, and clients alike. Responsibilities: • Support account teams with underwriting activities and strategic account objectives, including exposure analysis, pricing, terms and conditions, program structure, reinsurance coordination, certificate and quotation preparation, and proposal support., • Participate in insurance program and policy development, working with internal operations teams to review documentation and maintain strong quality control over final materials delivered to clients and brokers., • Develop and maintain strong knowledge of FM’s underwriting guidelines, policy terms and conditions, pricing approach, and profitability analysis to support sound program design and sustainable portfolio performance., • Support account servicing activities, including preparation for internal and client-facing meetings, presentations, and proposals, while continuing to develop effective communication and presentation skills., • Leverage external and internal relationships to understand clients' exposures, operating strategies and business goals, and ensures mutually agreed project plans meet the long-term loss prevention, underwriting, and risk transfer goals of both the client and FM., • Stay abreast of renewable energy and insurance market trends, and broader portfolio performance. Including competitor offerings, strengths and weaknesses, profitability, emerging trends, etc., • Learn and effectively use FM’s underwriting systems, applications, procedures, and delegated authority framework., • Ensure underwriting documentation (policies, binders, endorsements) is accurate, complete, and properly issued, with underwriting decisions and rationale clearly documented in internal systems. Qualifications:, • Bachelor’s degree or equivalent; CIP designation desirable., • A minimum of 2+ years’ experience in underwriting., • Demonstrated ability to make sound underwriting decisions, apply underwriting guidelines, and learn new systems and tools in a structured underwriting environment., • Strong analytical, problem solving, computer skills and attention to detail is required., • Working knowledge of account management, business communication, exposure analysis, negotiation, presentation skills, relationship management, and insurance program structure., • Strong interpersonal, planning, and organizational skills, with experience applying policy terms and conditions, pricing considerations, profitability analysis, and underwriting guidelines., • Experience with policy review, insurance program structure, global placements, complex property accounts, and multi-carrier placements is preferred., • Curious and driven to learn about new technologies, market practices, and trends., • Associateship of the Chartered Insurance Institute (ACII) or Chartered Property Casualty Underwriter (CPCU) designation would be an advantage. Varying levels of experience and qualifications will be considered. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.

The Artificial General Intelligence (AGI) Safety and Alignment Team (ASAT) aims to reduce existential and catastrophic risk from AGI and eventually Artificial Superintelligence (ASI). We research novel techniques and work with the rest of GDM and Google to apply them. We advise executive leadership on safety. \n \n ASAT has sub-teams specialising in making future Geminis more thoroughly aligned by findin... \n \n \n ZIPC1_UKTJ

Artificial intelligence will be one of humanitys 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 a... \n \n \n ZIPC1_UKTJ

At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. \n From creating experiments and prototyping implementations to design... \n \n \n ZIPC1_UKTJ

Role: Transport Engineer - Development Engineering & Planning Location: Old Street, London Type: Full Time, Permanent, Hybrid. We're looking for a Transport Engineer in London! This is an ideal hybrid role that would fit perfectly, for someone with a background in S278/S38 highways who knows their way around a Transport Assessment, making for a varied and interesting working day! Benefits: 26 days holiday: 23 days plus an additional 3 days at Christmas. A bonus of up to 8% based on company and individual performance Pension scheme Generous maternity and paternity leave. Subsidised gym membership. Excellent support in gaining Chartership Annual company trip abroad Flexible working policy with some days to work from home Role & Company: One of the fastest growing consultancies in Central London invites you, a Transport Engineer, to join one of the most dynamic and lively consultancies in London, where personality is king! The developments you may help bring to life, include but are not limited to: High-rise and cutting edge residential projects Modern commercial and retail building infrastructure Educational and art institutions and museums. You will be joining a well-established infrastructure team in a high-spec office. The office, that they designed themselves, is modern and open plan with several floors, situated a stones throw from Old Street Station. You will be working in a team of approx. 20 and will collaborate with the rest of the company, which is a total of over 160, granting plenty of social opportunity. As an employee, you personally will have the chance to contribute to the company culture and direction. The company has recently become an Employee-Owned Trust; meaning each team has a representative who will feed back to the trust on queries or ideas for the direction of the business. The team feel is added to by weekly whole office meetings where engineers and technicians have the opportunity to discuss their projects and offer help and guidance to each other. Responsibilities: Production of engineering designs and technical transport deliverables to support new developments, which may include: S278 & S38 Highways design packages; Transport Assessments; Transport Statements; Travel Plans. Other responsibilities may include: Project ownership; Collaboration with stakeholders, architects, and engineers; Data analysis and research; Client liaise. Requirements: Working knowledge of the above, attained through experience at a UK consultancy. Knowledge of related software including AutoCAD, Civil 3D, Desirable: Junctions (ARCADY/PICADY), LinSig, etc. Please apply with your CV if you're interested, or contact Michael Finch on (phone number removed) for further informal discussion. Aldwych Consulting values diversity and promotes equality. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. We encourage and welcome applications from all sections of society and are happy to discuss reasonable adjustments and/or additional arrangements as required to support your application. Candidates must be eligible to live and work in the UK. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business

\n \n \n At Places for People, we hire People, not numbers! So, if you like the sound of one of our jobs, please apply - you could be just who we're looking for! Of course, experience and track record are important, but we're more interested in hiring someone that embodies our People Promises. That's someone that does the right thing, is enthusiastic and motivated to grow, believes in Community spirit, is respectful and enjoys their work. As the UK's leading Social Enterprise we're dedicated to creating inclusive and thriving Communities for both our Customers and Employees. \n So, what are you waiting for? Join a community that cares about you! \n More about your role \n Are you an experienced Maintenance Supervisor with a strong technical background and a passion for leading engineering teams? \n We're looking for a hands-on Maintenance Supervisor to join our team at the prestigious Royal College of Art (RCA), supporting one of the most unique and exciting estates in London. \n The Royal College of Art is a world-leading postgraduate university of art and design, with a diverse estate comprising specialist workshops, studios, teaching spaces, laboratories, offices, public areas and student accommodation. No two days are the same. \n This role is ideal for an established Maintenance Supervisor who combines strong mechanical or building services knowledge with proven experience managing engineers, contractors, compliance activities and planned maintenance programmes. \n Working closely with the Hard Services Manager, you'll play a key role in ensuring the safe, compliant and effective operation of the estate while supporting, coaching and developing the engineering team. \n What You'll Be Doing \n \n • Supervising a team of maintenance engineers and technicians,\n, • Leading the delivery of planned preventative maintenance (PPM) and reactive maintenance,\n, • Acting as a technical point of escalation for engineers and contractors,\n, • Supporting fault-finding and diagnosis across building services systems and plant,\n, • Managing contractors, permits to work and safe systems of work,\n, • Monitoring statutory compliance activities and maintaining associated records,\n, • Ensuring health, safety and environmental standards are consistently achieved,\n, • Maintaining and updating CAFM systems and maintenance records,\n, • Planning and coordinating repairs, minor works and maintenance projects,\n, • Coaching and developing engineers, helping to build technical capability within the team.\n \n Essential Criteria \n \n • Experience in a Maintenance Supervisor, Lead Engineer or similar supervisory position\n, • Level 3 technical qualification (NVQ, City & Guilds, BTEC or equivalent) in Mechanical, Electrical or Building Services Engineering\n, • Strong hands-on experience within building maintenance, facilities management or a similar environment\n, • Proven experience delivering planned preventative maintenance (PPM) and reactive maintenance\n, • Experience supervising maintenance teams and specialist contractors\n, • Sound understanding of statutory compliance and health and safety requirements within a maintenance environment\n, • Experience using CAFM systems\n, • Strong fault-finding and problem-solving skills\n \n Desirable \n \n • Mechanical bias with experience of HVAC systems, pumps, AHUs, LTHW systems and associated plant\n, • IOSH Managing Safely or similar qualification\n, • Experience working within a complex commercial, education, healthcare or public-sector estate\n, • Knowledge of SFG20 maintenance standards\n \n More About You \n \n • You're a leader who enjoys being visible, supporting engineers and setting high technical standards. You're comfortable balancing practical maintenance supervision with contractor management, compliance administration and planning activities.\n, • Most importantly, you're someone engineers respect because of your technical knowledge and willingness to support the team when challenges arise.\n \n Why Join Us? \n This is an opportunity to work within a unique and inspiring environment where facilities management directly supports world-class education, research and creativity. You'll be part of a collaborative team, working across a varied estate while helping to shape and develop engineering standards for the future. \n Benefits \n We are a large diverse and ambitious business, which will give you all the challenge you could wish for. \n We know that there's always more we can do to make you smile, that's why we offer a comprehensive benefits package with each role, yours will include: \n \n • Competitive salary with regular annual review\n, • Pension with matched contributions up to 7%\n, • Bonus scheme for colleagues at 2%\n, • 35 days holiday (including bank holiday) with option to buy or sell days\n, • Healthcare cashback plan for everyday medical costs - up to £500 savings per year\n, • Access to wellbeing support such as counselling and flu jabs\n, • Private GP and health support services available\n, • Access to a rewards platform with retail and lifestyle discounts\n, • Savings on groceries, travel, shopping and home products\n, • Ongoing training and development opportunities\n, • Access to professional qualifications and career progression\n, • Internal development programmes and learning support\n, • Recognition schemes such as Star Awards and Colleagues Awards\n, • Strong focus on inclusion, wellbeing and colleague engagement\n, • Free membership to Places Gyms \n \n \n \n \n \n What's next? \n If you meet the criteria and are ready to make the next step in your career then click apply. You will be redirected to our careers site where you can discover more about the role, read a full job description and apply directly to us. \n As part of our commitment to diversity and inclusion, we offer a guaranteed interview to candidates who are disabled, neurodiverse, or have served in the Armed Forces, provided they meet the essential criteria for the role. If you would like to be considered under this scheme, please indicate this in your application. We are dedicated to creating a supportive and accessible recruitment process for all. \n We are committed to creating an inclusive and accessible recruitment process. If you require any reasonable adjustments to support your application or interview experience, please let us know. We're happy to work with you to ensure you have the opportunity to perform at your best. \n If you are a Places for People customer and you're looking for support with your application, please contact our skills and employment team on skillsemployment@placesforpeople.co.uk. \n We understand the importance of a supportive and inclusive work culture so please talk to us at interview about flexibility you may need. We can't promise to give you exactly what you want, but we promise not to judge you for asking. For this role we are open to discussing the possibility of reduced hours, flexible start and finish times or compressed hours. \n \n If you are a recruitment agency please note we operate a PSL and do not take cold calls \n \n \n \n \n Safeguarding \n At Places for People, safeguarding is everyone's responsibility. We are committed to creating safe communities for our customers and colleagues by protecting children, young people, and adults at risk from harm, abuse, and neglect. \n We follow robust safeguarding policies and procedures, ensuring all employees, volunteers, and contractors uphold the highest standards of safeguarding and accountability. Our recruitment process includes pre-employment checks, including Disclosure and Barring Service (DBS) checks where applicable, to promote a safe and secure working environment. \n By joining Places for People, you are expected to contribute to our safeguarding culture, following our policies and reporting concerns to protect those in our communities \n \n \n \n \n

2 days ago Be among the first 25 applicants Turing is one of the world’s fastest-growing AI companies, pushing the boundaries of AI-assisted software development. Our mission is to empower the next generation of AI systems to reason about and work with real-world software repositories. You’ll be working at the intersection of software engineering, open-source ecosystems, and frontier AI. Project Overview: We're building high-quality evaluation and training datasets to improve how Large Language Models (LLMs) interact with realistic software engineering tasks. A key focus of this project is curating verifiable software engineering challenges from public GitHub repository histories using a human-in-the-loop process. Why This Role Is Unique: • Collaborate directly with AI researchers shaping the future of AI-powered software development., • Work with high-impact open-source projects and evaluate how LLMs perform on real bugs, issues, and developer tasks., • Influence dataset design that will train and benchmark next-gen LLMs. What does day-to-day look like: • Review and compare 3–4 model-generated code responses for each task using a structured ranking system., • Evaluate code diffs for correctness, code quality, style, and efficiency., • Provide clear, detailed rationales explaining the reasoning behind each ranking decision., • Maintain high consistency and objectivity across evaluations., • Collaborate with the team to identify edge cases and ambiguities in model behavior. Required Skills: • At least 3 years of experience at top-tier product or research companies (e.g., Stripe, Datadog, Snowflake, Dropbox, Canva, Shopify, Intuit, PayPal, or research roles at IBM, GE, Honeywell, Schneider, etc.), with a total of 7+ years of overall professional software engineering experience., • Strong fundamentals in software design, coding best practices, and debugging., • Excellent ability to assess code quality, correctness, and maintainability., • Proficient with code review processes and reading diffs in real-world repositories., • Exceptional written communication skills to articulate evaluation rationale clearly., • Prior experience with LLM-generated code or evaluation work is a plus. Bonus Points: • Experience in LLM research, developer agents, or AI evaluation projects., • Background in building or scaling developer tools or automation systems., • Commitment: ~20 hours/week (partial PST overlap required), • Type: Contractor (no medical/paid leave), • Duration: 1 month (starting next week; potential extensions based on performance and fit), • Rates: $40–$100/hour, based on experience and skill level., • Mid-Senior level, • Contract, • Information Technology and Engineering, • Software Development Referrals increase your chances of interviewing at Turing by 2x Get notified about new Software Engineer jobs in London Area, United Kingdom. London, England, United Kingdom 4 hours ago London, England, United Kingdom 4 months ago London, England, United Kingdom 3 days ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 week ago London, England, United Kingdom 3 days ago Hounslow, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 month ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 2 months ago London, England, United Kingdom 2 weeks ago Greater London, England, United Kingdom 3 weeks ago London, England, United Kingdom 1 month ago London, England, United Kingdom 1 day ago London, England, United Kingdom 1 week ago London Area, United Kingdom £14.00 £16.00 14 hours ago London, England, United Kingdom 1 day ago City Of Westminster, England, United Kingdom 1 week ago London, England, United Kingdom 1 month ago London, England, United Kingdom 1 week ago Greater London, England, United Kingdom 3 weeks ago London, England, United Kingdom 3 months ago Greater London, England, United Kingdom £40,000 - £50,000 1 month ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 month ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 week ago London, England, United Kingdom 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Our client, a leading global quantitative hedge fund, is looking for a Senior AI Software Engineer in London to drive the adoption of AI across a high-frequency trading business. Working within a technology and data-led environment, you will partner directly with quantitative researchers, software engineers and business teams to identify high-value opportunities, then own the delivery of AI-powered tools from concept through to production. The position exists to connect emerging AI capabilities with complex research, development and trading workflows, improving productivity while establishing robust engineering standards for the wider business. • Build and operate production-grade AI applications, assistants and agentic workflows., • Develop integrations connecting AI systems with internal tools, code repositories, databases and knowledge sources., • Design AI agents capable of securely interacting with enterprise systems and APIs., • Evaluate emerging models, frameworks, coding assistants and AI tooling against genuine business use cases., • Partner with researchers, engineers and business stakeholders to take projects from initial problem definition through to production delivery., • Strong software engineering experience in Python, including building and operating production systems., • Practical experience with modern AI platforms, large language models and agentic workflows., • Strong understanding of APIs, distributed systems and software architecture., • Excellent system design, debugging and problem-solving capabilities., • The ability to independently own complex projects, with exposure to quantitative research, trading technology or financial markets considered advantageous. This is an opportunity for an experienced AI engineer to move beyond isolated prototypes and apply AI within a technically demanding, commercially relevant trading environment. You will have meaningful ownership, direct access to sophisticated users and the freedom to assess new technologies based on measurable value rather than novelty. For someone seeking greater proximity to research and trading, broader technical influence and a clear route to shaping AI engineering standards across a high-performance business, this offers a compelling next step. #J-18808-Ljbffr

Salary: £100,000 - 100,000 per year • Experience building and scaling end-to-end production systems, • Strong technical problem-solving skills, especially in fast-changing, ambiguous environments, • A builder and tinkerer mindset with high agency and creativity to overcome obstacles and ship, • Comfort working directly with customers to understand their needs and solve real-world problems, • Excellent communication skills across technical and non-technical audiences, • Experience building or deploying AI/LLM systems in production, • Experience as a founder or founding engineer, with the ability to balance craft, ownership, and speed, • Familiarity with tools that power todays AI agents, including eval frameworks, agent tooling, RAG pipelines, and prompt engineering, • Prior experience with React, TypeScript, and/or Go, • Previous roles interfacing with customers or leading technical projects with external stakeholders, • Design and deliver production-grade AI agents that are highly performant, reliable, and intuitive, • Own the Agent Development Life Cycle from initial pilot through deployment and continuous iteration, • Build, tune, and evolve AI agents in production environments, • Work directly with leaders at large enterprises to understand business challenges and build AI agents that transform how they operate at scale, • Partner with cutting-edge startups in London to embed AI agents across their business stack, • Surface unmet needs from customer work, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and our product, • Design and build AI agents for large telecommunications and media companies that outperform human agents in managing subscription churn, • Develop AI agents for complex customer interactions such as troubleshooting broken devices and personalizing product recommendations, • Create generalizable AI agent frameworks tailored for industry-specific use cases, • Facilitate design partnerships for new product initiatives, including new agent architectures, self-service capabilities, and generative agent development, • Experiment with the latest voice models and integrate them at scale for enterprise-grade customers, • AI, • AI Agents, • LLM, • RAG, • React, • TypeScript, • CTO, • Support, • Salesforce, • VR We are Sierra, building a platform that helps businesses create more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney. Our culture is guided by Trust, Customer Obsession, Craftsmanship, Intensity, and Family. We offer full-time employees flexible unlimited paid time off, medical, dental, and vision benefits, life insurance and disability benefits, a retirement plan dependent on country of employment, parental leave, fertility and family building benefits through Carrot, lunch, snacks and coffee, a discretionary benefit stipend, free alphorn lessons, and access to equity plans subject to applicable terms. We are committed to building a diverse, inclusive team and encourage applicants to apply even if their experience does not precisely match the role. last updated 38 week of 2026 #J-18808-Ljbffr

Senior Software Engineer, Python, Linux, Docker, to £600 per day An immediate need has arisen for a Senior Software Engineer with strong Python development experience, to join an innovative technology company. Offered as an initial 3-month contract within IR35, the contract can be offered on an either a fully-remote basis, or hybrid, with offices in South Oxfordshire. The Senior Software Engineer will be embedded within a cross-functional engineering team, working closely with researchers, systems engineers and other software engineers. You will be expected to take ownership of defined areas of work, taking relatively high-level requirements and turning them into robust, working solutions. This could involve designing and developing Python-based software, integrating with hardware and network infrastructure, developing real‑time streaming solutions, or building tooling to support research, testing and evaluation. • Integration with CCTV or camera systems, • Working with streaming protocols such as RTSP and ONVIF, as well as HTTPS and TCP, • Practical understanding of network engineering and high-bandwidth streaming, • Developing and deploying software to hardware in operational environments, • Experience developing or supporting real-time video streaming and processing, • Developing software for edge deployment, • Experience with NVIDIA DeepStream is highly desirable, • Familiarity with GStreamer would also be beneficial This is an established technology company based in South East England, working on a vision-based monitoring product for use in clinical environments. They operate across research and engineering disciplines, with a team culture that values autonomy, technical rigour, and close collaboration. The nature of their work requires the highest standards of integrity, given that their solutions are deployed in settings involving vulnerable individuals. • Demonstrable expertise in Python, Linux, and Docker across real-world production or research environments, • A proven record of completing technical projects independently, delivering to specification and on schedule, with the confidence to take a loose brief and drive it through to a finished outcome, • Experience with camera/CCTV integration, network engineering, video streaming or edge analytics would be particularly valuable, • Experience with RTSP, ONVIF, NVIDIA DeepStream and/or GStreamer would be advantageous Senior Software Engineer - Python, Linux, Docker #J-18808-Ljbffr

London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. Build and operate the platform powering compute-intensive analysis of large event-stream datasets. The work resembles a game engine’s replay loop, a telecom packet pipeline, or a streaming analytics platform, applied to financial market data. Our stack includes modern C++ for throughput-critical ingestion and simulation, Python with C++ bindings for research tooling, and distributed computing on HPC clusters. Your work will span exchange-data ingestion, HPC orchestration, simulation, and research tooling. Trading experience is not required; we provide comprehensive onboarding. • Design, build, and maintain high-performance, scalable software and data systems used by quant researchers and trading teams., • Implement raw exchange data pipelines in modern C++ and operate them at high-throughput scale., • Orchestrate and improve reliability of data and compute pipelines on HPC clusters., • Create ad-hoc computation frameworks and research tooling that let researchers slice, backtest, and iterate rapidly (Python + C++ integrations)., • Develop and maintain simulation frameworks tightly integrated with HFT/live trading platforms., • Support training and deployment of quantitative models used in trading., • Optimize codebases for performance, reliability, and resource efficiency across the full stack., • Work primarily as a hands-on individual contributor while mentoring junior team members as needed., • 7+ years of professional experience building large-scale, high-performance systems; daily use of modern C++ (>=17) and Python expected., • Strong CS fundamentals: data structures, algorithms, networking, OS, concurrency, and system design., • Experience running compute at cluster scale: job scheduling, resource management, retries, and reliability. Slurm, Kubernetes, Ray, Spark, or custom internal schedulers all count., • Proven data-engineering experience: schema design, storage formats, compression, I/O trade-offs, and pipelines processing hundreds of terabytes., • Experience with columnar formats such as Parquet or Arrow, or comparable domain-specific formats used for event logs, telemetry, or replays., • Experience designing and operating services or platforms used by other technical users in data-intensive environments., • Demonstrated ability to ship production software safely and repeatedly, with an obsession for data driven quality., • Rust experience alongside C++ and Python., • Slurm or other cluster scheduler expertise., • Familiarity with ML/Deep Learning frameworks., • Prior finance or market-data experience, including low-level market connectivity., • GPU programming experience., • Historical network / packet processing (telco, network appliances, packet-capture replay infrastructure)., • Deterministic simulation and replay systems (game engines, cell simulators, distributed-systems testing frameworks)., • Dev-productivity or platform-engineering for internal users (making other engineers or researchers faster and safer, at scale). We evaluate systems-design judgement on data-intensive problems, ability to reason about correctness under concurrency and failure, code quality, and communication. We do not test market-microstructure knowledge in loops; that is taught on the job. Candidates from Big Tech, Telco, Gaming, or Research-computing backgrounds have transferable skills for this role and are actively encouraged to apply. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . #J-18808-Ljbffr

We’re looking for an AI Engineer to help us apply AI in a setting where reliability, clarity and trust matter every day. At Pay.UK, you’ll work in an organisation that supports UK retail payments at national scale, with systems processing over 10 billion transactions worth over £11 trillion annually. This is a chance to build practical AI solutions in a complex, highly important environment, while working with colleagues across technology and the wider business. You’ll join a team that values quality engineering, clear communication and continuous learning. We are transparent, collaborative and open to ideas, and we want someone who can turn AI concepts into well‑designed, usable tools and services. • Design and build AI solutions that address defined business and operational needs within Pay.UK., • Develop, test and deploy machine learning and generative AI models for internal tools, workflows or decision support., • Prepare and refine datasets for model training, evaluation and ongoing performance monitoring., • Integrate AI services into existing platforms, applications and engineering workflows., • Create technical documentation for models, data pipelines, APIs and deployment processes., • Evaluate model outputs, identify risks or limitations, and improve performance through structured testing., • Collaborate with engineers, data specialists and business teams to translate requirements into working AI applications., • Monitor live AI solutions, troubleshoot issues and implement updates to maintain reliability and accuracy., • Experience designing, building and deploying AI or machine learning solutions for live production use., • Experience using Python and AI or machine learning libraries to develop, test and maintain AI solutions., • Experience preparing datasets, training models and evaluating model performance using structured testing and evaluation methods., • Experience integrating AI solutions with business applications, APIs or cloud‑based services., • Experience producing technical documentation and explaining implementation choices to both technical and non‑technical colleagues., • Delivery experience with Microsoft copilot Studio is a must. Microsoft Foundry is good to have and/or other LLM technologies. At Pay.UK, our behaviours are central to who we are and how we operate. They bring our values to life, shape our culture, and guide how we make decisions, collaborate, and respond to challenges across the payments ecosystem. All interview processes will assess the following behaviours: • Listen to Find Win-Wins - Empathy, Listening and Understanding, • Influence with Courage - Influence, Courage, • Go Horizontal First - Cross Boundary Collaboration, • Take Ownership - Self Development, • Opportunity Mindset - Initiative, • Simplify - Achievement Orientation At Pay.UK, we value diversity and inclusivity. Research has shown that candidates from underrepresented groups may hesitate to apply unless they meet all the requirements listed. We encourage all qualified candidates to apply, regardless of how closely their skills and experience match the requirements. We are committed to supporting accessibility needs and creating a welcoming environment for all employees. Become part of our team and contribute to the creation of an inclusive work environment that values everyone's unique input. Pay.UK maintains and develops the UK retail payment systems and standards that are core to the economy being able to function on a day‑to‑day basis. From Bacs to Faster Payments and cheques – we act as the single operator for all UK retail payments. We put the needs of consumers and businesses at the heart of everything we do, working in the public interest to ensure that the systems the country relies on for its banking transactions are safe, open, innovative and resilient. Our payment systems underpin the services that enable funds to be transferred between people and institutions. In 2024, the UK's retail payment systems processed 11 billion transactions worth over £10 trillion through Bacs Direct Credit, Direct Debit, Faster Payments, and cheques, and our Current Account Switch Service has facilitated over 9 million switches since it’s launch in 2013. Every day, individuals and businesses use the services we provide to get their salaries, pay their bills and make online and mobile banking payments. Our vision for the future is to enable a vibrant economy, with Pay.UK delivering robust payment infrastructure and standards for the benefit of consumers and businesses nationwide. • 30 days annual leave (excluding bank holidays), • Employee assistance programme, • Cycle to Work Scheme, • Season ticket loan, • Annual fitness subsidy of up to £500 per annum, • Working from home policy - minimum 40% in the office (eg. 2 days in the office over a 5 day working week) Some of our benefits are only available to colleagues after meeting the requirements of the probationary period. Pay.UK employee benefits are not available to contractors and are only available to permanent and fixed‑term employees. #J-18808-Ljbffr

Be a key part of an agile team driving innovation to enhance, build, and deliver top-notch technology products. Bring your Software Engineering career to the next level and become an integral part of an agile front-office technology team where your expertise advances next-generation solutions. We value your contributions and empower you to stay at the forefront of industry trends. Join us and thrive in a culture built on diversity, opportunity, and respect. As an Athena/Python, Front Office Software Engineer at JPMorgan Chase within the Commercial and Investment Banking - Precious Metals and Agriculture - Commodities Tech team, you will be an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges spanning multiple technologies and applications. • Works closely with Precious Metals/Agriculture Trading, Quantitative Research, Sales, Middle Office, and other technology teams to gather requirements and deliver reliable and impactful solutions, • Designs, develops and maintains trading applications and systems used by Front Office, • Troubleshoots production issues efficiently in a time-sensitive environment, • Continuously improves code quality, performance and system resilience by developing secure and high-quality production code, and reviewing and debugging code written by others, • Collaborates with global technology teams seamlessly and work in an agile manner, • Contributes to software engineering communities of practice and events that explore new and emerging technologies, • Adds to the team culture of diversity, opportunity, inclusion, and respect, • Formal training or certification on software engineering concepts and proficient advanced experience, • Degree in Computer Science, Information Systems, Math, or equivalent training and relevant experience, • Hands-on experience delivering system design, application development, testing, and operational stability, • Experience in performant, large-scale system development in an object-oriented or functional language such as Python, Java, etc., • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g. Cloud, object-oriented programming, full stack development - end to end, quantitative finance), • Strong analytical and problem-solving skills, • Enthusiastic to keep learning and growing, in technical aptitude and business understanding, • Software development experience in commodities, finance, or investment banking preferred, or willingness to rapidly learn the business domain, • Willingness to become proficient and develop in Python, if not already a primary language, • Ability to collaborate with other technology teams to deliver end to end solutions to the business in a constantly changing environment, • Excellent communication skills and ability to work directly with both business users and engineers 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. #J-18808-Ljbffr

Join Attest at a pivotal moment: we're transforming how the world's leading brands discover and act on consumer insights. As a Senior Software Engineer on the Measure squad, you'll help grow and evolve Attest Measure, our quantitative survey platform that gives brands robust, at-scale consumer research — from survey design and fielding through to dynamic analysis and storytelling. Measure's remit spans the full research journey, including how Compass, our AI co-pilot, supports survey creation and analysis within Measure. Attest powers insights for brands like Netflix, Unilever, Nestle, and Reddit, connecting them to 150+ million consumers across 59 countries. As a Senior Software Engineer on the Measure squad, you'll work on complex challenges spanning frontend engineering, backend services, and data visualisation, shaping how leading brands make faster and more confident decisions. This isn't just about shipping features. You'll shape technical direction within your squad, contribute scalable patterns across the stack, and mentor engineers while working cross-functionally with Product, Design, and Data Science. This is a full stack role with a leaning towards frontend. Our frontend stack includes VueJS, TypeScript, and OpenAPI; our backend stack is primarily Java (Spring Boot) and Python, with some legacy Go. We're constantly evolving how we build and deliver software, and we're increasingly looking for engineers who work in an AI-native way. What this means to us is using AI coding assistants and agentic workflows as part of their everyday development practice. We're looking for an engineer with strong product instincts who enjoys collaborative problem-solving and values delivering meaningful impact over perfection. If you're motivated by building thoughtful user experiences and improving systems over time, we'd love to hear from you. We are able to offer between £85,000-£95,000 depending on experience, with equity options and comprehensive benefits. We work in a flexible hybrid model. Most squads collaborate in person around two days per week, with flexibility around which days work best. This helps us balance meaningful face-to-face collaboration with time for focused engineering work. As a Senior Software Engineer, you will: Lead high-impact technical initiatives: Own the design and delivery of complex features across the Measure product, from survey creation and fielding to insights visualisation, spanning frontend and backend. Shape products from discovery to delivery: Partner closely with Product and Design during discovery, translating evolving requirements into pragmatic technical solutions that solve real user problems. Extend the Measure experience end-to-end: Create robust, scalable systems using VueJS and TypeScript on the frontend, and Java (Spring Boot) or Python services on the backend, that handle streaming responses, dynamic visualisations, and complex state management. Integrate seamlessly: Use OpenAPI contracts to build reliable integrations across survey-building, audience, and insights services — including where Compass (https://www.askattest.com/compass) powers AI-assisted survey creation and analysis — handling real-time data streams and failure states robustly. Balance speed with sustainability: Ship quickly while maintaining high code quality, performance, and testability. Proactively reduce technical debt and improve system health. Elevate the entire team: Provide thoughtful code reviews, mentor other engineers through pairing, and contribute to shared patterns and standards across the Engineering organisation. Drive measurable outcomes: Focus on user outcomes, not just output, using data to inform iteration and improvement. Work AI-natively: Use AI coding assistants and agentic tools as a core part of your day-to-day workflow to build faster without sacrificing quality. You’ll have autonomy in technical decisions, support for growth, and the opportunity to influence how users interact with AI-powered survey creation and insights across the Measure product. We're looking for someone who: Has strong commercial experience with VueJS (or equivalent) and TypeScript, and is comfortable working across backend services in Java (Spring Boot) and/or Python, building complex applications that scale. Can lead technical delivery of large features or epics end-to-end across the stack, with cross-functional squad collaboration. Works AI-natively, including using AI coding assistants and agentic tools as part of their everyday development practice. Demonstrates strong architectural thinking across component design, service design, state management, performance, and scalability. Is comfortable with ambiguity. You don’t wait for perfect briefs, when requirements are unclear, you’ll get to the bottom of them and propose the approach you think is right. Balances pragmatism with engineering quality. Brings a product mindset, focusing on user outcomes and business impact over technical elegance. Has a growth mindset, actively seeks feedback, challenges assumptions, and continuously improves both systems and ways of working. Has thrived in cross-functional product squads, balancing engineering, product, and design perspectives. Communicates effectively with technical and non-technical stakeholders, making complex decisions accessible and building alignment. Experience building conversational UIs or real-time streaming interfaces. Experience building with LLM-powered applications or AI product features. We value diverse experiences and perspectives, especially in this age of non-linear careers. We encourage you to apply even if you don't fit all the criteria above, especially if you're energised by embracing the future and building impactful AI-driven user experiences! Work from anywhere up to 20 days a year 25 days holiday per year plus additional festive days £240 yearly L&D budget, plus access to a larger budget for qualifications and courses Private Medical Insurance 1 day per quarter to do charity or community work Enhanced parental leave (18 weeks paid leave for Primary carer) Up to 12 weeks paid leave for premature births and neonatal care Paid leave for IVF and fertility treatment and pregnancy loss Share options and an additional bonus scheme We want to give everyone the opportunity to showcase their best selves during the interview process and beyond. Do let us know if there are any adjustments you'd like to make to ensure it's more inclusive – we're learning too, so we're more than happy to adapt and accommodate where possible. Unfortunately we cannot offer visa sponsorship at this time. #J-18808-Ljbffr

Join to apply for the Senior AI Engineer role at Man Group. Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $172.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com. We are looking for an AI engineer to help us build solutions that utilise the latest GenAI and Machine Learning techniques and capabilities. This role will allow you to work at the intersection of technology, generative AI and finance, helping to deliver high-impact, novel solutions that touch every part of our business. Working within our Machine Learning Technology team, you will help to build out the core AI platform and infrastructure used across Man Group. Alongside this, you will also partner and consult with teams across the business to help create agents and tools that augment, automate and ultimately transform our investment and operational workflows. At Man Group, our ambitions for AI are significant. We have a long history of pioneering technology in finance, and this role presents a fantastic opportunity to join us as we work towards leveraging scalable intelligence to fundamentally change how we identify and execute on investment opportunities. • Engineer, enhance, and maintain the firm's core AI and Machine Learning platform, • Partner with stakeholders in research, trading, technology, and operations to design, build, and deploy bespoke AI/ML applications and agents, • Manage the full lifecycle of domain-specific models, including training, fine-tuning, validation, deployment, and monitoring in production environments, • Keep up to date with the latest in the field of applied AI to identify and propose novel solutions capable of driving our business forward, • Proactively engage with teams across the business to promote understanding and adoption of AI tools and capabilities Essential • Demonstrable enthusiasm for AI engineering and Machine Learning, • Excellent software engineering skills with a strong knowledge of Python, • A keen interest and understanding of financial markets and instruments, • Relevant mathematical knowledge e.g. statistics, optimisation algorithms, linear algebra. Advantageous • Experience using GenAI to build agentic, knowledge processing, or automated coding tools, • Experience training or fine-tuning generative models, • Experience building tools and technologies within systematic or discretionary investing units, • Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university, • Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others, • Demonstrable passion for technology e.g. personal projects, open-source involvement, • Intellectually robust with a keenly analytic approach to problem solving, • Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities, • Excellent interpersonal skills; able to establish and maintain a close working relationship with traders, quantitative researchers, and senior business people alike, • Confident communicator; able to argue a point concisely and deal positively with conflicting views. You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity. You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com. #J-18808-Ljbffr

Would you thrive in a fast-scaling business, solving novel problems in collaborative teams? Are you interested in developing machine learning models for difficult green-field problems? If so, you could be the person we are searching for. We are an IoT innovator working to scale our product deployments across the UK and EU. We are passionate about developing technology that will change paradigms, contribute to a sustainable future, and improve lives. We are building Virtual Energy Infrastructure using our world-leading machine learning algorithms. We’re looking for a Machine Learning Research Engineer to work with us in our Data Science and AI Team. In this team, we build custom algorithms that use novel approaches to solve our business needs. This isn’t a prompt engineering or LLM role - finding a solution to our problems requires a deep understanding of Machine Learning, software development, and the problems themselves. You will be working with large, complex, and unique datasets to solve a wide range of difficult statistical, mathematical, and physical engineering problems. To achieve this, you will work with cutting-edge technologies in a highly collaborative environment. Key to this role is the ability to envision and design new algorithm products while carefully considering the practicality of rollout, wider strategic implications, and any legal or ethical considerations – and then taking these products from conception to deployment. This will require strong software engineering expertise and excellent machine learning proficiency. The ideal candidate brings not just technical skills, but an intellectual curiosity and eagerness to expand their knowledge across diverse technical domains. You will be working with an enthusiastic, agile and highly skilled team to deliver a paradigm-changing technology across Europe with a positive environmental and social impact. Our world-leading algorithmic products are at the core of our business, so as a part of the Data Science and AI Team, you will have a high level of exposure to the wider business. This role is based in our London office at Liverpool Street (hybrid in-office and work-from-home). • Hiring at a range of experience levels; 0-5 years of experience, • MSc/MSci/PhD in a highly quantitative field (Mathematics, Computer Science, Physics, etc), • Strong knowledge of Python and appropriate Machine Learning libraries and frameworks, • Ability to work autonomously to conduct research and pose difficult questions in order to build scalable algorithmic solutions to hard problems from the ground up, • Strong Machine Learning and Statistics knowledge; both in classical models and neural-network-style models, • Strong Software Engineering fundamentals, • Enthusiasm to learn and contribute to a culture of learning, • Advantageous- PhD (in a highly quantitative field), • Generous annual leave allowance, excellent benefits package including salary sacrifice car scheme #J-18808-Ljbffr

Ready to build intelligent, high‑impact applications that push the boundaries of modern JavaScript and AI tooling? Do you thrive in solving complex engineering challenges and shaping scalable, future‑ready solutions? ScienceDirect is the world's leading collection of science information on the web and Elsevier's flagship product. We are looking for talented engineers to contribute to a culture of technical excellence paired with strong collaboration and modern engineering practices. Our teams are increasingly adopting AI-assisted development workflows, and we are particularly interested in engineers who are excited about using AI tools to help design, write, test, and improve software. We are seeking a talented and self‑motivated Frontend Software Engineer with strong skills in React and Node.js and a collaborative mindset. You will work as part of a cross‑functional product development team building modern web applications used by millions of researchers worldwide. Our teams are actively adopting AI-assisted development practices, and we are looking for engineers who are enthusiastic about using AI tools as part of their day‑to‑day workflow. This includes using AI to accelerate implementation, support refactoring, generate tests, investigate issues, improve documentation, and assist with code review. You should be comfortable experimenting with AI to accelerate development while applying strong engineering judgement to ensure code quality, maintainability, and performance. We are not looking for engineers who rely uncritically on AI‑generated output; we are looking for engineers who use these tools to improve the quality, speed, and effectiveness of software development. • Work as part of a highly collaborative, cross‑functional, agile product development team to develop modern responsive web applications, • Implement intuitive, interactive, and visually appealing user interfaces using React, • Work closely with UX/UI designers to translate design concepts into functional web applications, • Ensure applications are optimized for performance, accessibility, and responsiveness across devices and browsers, • Use AI‑assisted development tools to help design, implement, refactor, and debug software., • Critically evaluate, adapt, and validate AI‑generated output to ensure it meets engineering and quality standards, • Help the team evolve effective AI‑supported development workflows., • Write well‑tested, documented, and peer‑reviewed code, • Work closely with Product Managers and QA to ensure software meets user and business requirements, • Contribute to engineering best practices, including testing, CI/CD, code review, and continuous improvement, • Support the growth of the London engineering team through collaboration, knowledge sharing, and participation in recruitment, • Strong knowledge of HTML, CSS, and JavaScript, • Experience building modern web applications using React, • Experience working with Node.js, Express, or related backend services, • Experience working with RESTful APIs, • Familiarity with agile development practices such as:, • Test‑Driven Development, • Pair Programming, • Continuous Integration, • Automated testing and deployment, • Strong collaboration and communication skills with a positive and constructive approach to teamwork We are particularly interested in engineers who actively use AI tools as part of a software engineering workflow. Examples include: • Experience using AI coding assistants such as GitHub Copilot, Claude Code, Cursor, Codex, or similar tools, • Comfort working in an AI‑augmented development environment, • Ability to break work into well‑scoped tasks that AI tools can assist with effectively, • Curiosity about how AI can improve developer productivity, experimentation, and software quality, • Enthusiasm for exploring and sharing effective ways of using AI in software engineering Experience with these tools is valued, but curiosity and enthusiasm to learn are equally welcome. Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long‑term goals. • Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. 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) ScienceDirect is home to almost one‑quarter of the world's peer‑reviewed full‑text scientific, technical, and medical content. More than 15 million researchers, healthcare professionals, teachers, and students rely on ScienceDirect as a trusted source of nearly 2,200 journals and 26,000 book titles. The platform supports research and education with rich interactive content, including video, graphs, datasets, and images, along with tools that help users discover and stay up to date with relevant research. 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 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. 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. EEO Know Your Rights. #J-18808-Ljbffr

We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems., • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch)., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (e.g., Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skills. At the start of the day, you will join the team stand‑up and then choose a task to work on. Throughout the day, you’ll collaborate with team members and work on your current feature. You’ll also have opportunities for coffee breaks and team retrospectives. • Sky Q for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences We are a Disability Confident 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. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. If your application is successful, we will ask you to complete a criminal record check and, depending on the nature of any convictions you may have, we might have to withdraw the offer. #J-18808-Ljbffr

At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Amazon is continuously innovating new services and features for our customers. Our engineers invent, build, and sometimes break things to make them easier, faster, better, and more cost-effective. However, no matter what we're building - from websites to web services, AR to AI, drones to devices - security is always our top priority. The Amazon Application Security team focuses on working with our builders to provide experiences that our customers can trust. That means constantly learning new things and solving complex problems to protect the safety, security, and privacy of billions of lives on a global scale. At Amazon, you'll be working with the best minds in technology and security. Learn and be curious here, and accelerate your career growth. You can take pride in knowing that your work is meaningful, having a positive impact on others and making the world a better place. We are looking for an application security engineer to join the Application Security team. You should know how to prioritize, communicate clearly and compellingly, and understand how to maintain a high level of focus and excellence in a growing application landscape. Passion and discipline around cloud computing is critical, as is a high level of ownership and accountability. Your work will include: • Application security reviews, • Secure architecture design, • Threat modeling, • Projects and research work as needed, • Security training and outreach to internal development teams, • Security guidance documentation, • Security metrics delivery and improvements, • Assistance with recruiting activities Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. In Amazon Security, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. • Bachelor's degree in computer science or equivalent, • Knowledge of networking protocols such as HTTP, DNS and TCP/IP, • Experience programming in Python, Ruby, Go, Swift, Java, .Net, C++ or similar object oriented language, • Experience with AWS products and services, • Experience with any combination of the following: threat modeling, secure coding, identity management and authentication, software development, cryptography, system administration and network security, • Experience with programming languages such as Python, Java, C++, • AI/LLM-based automation of security workflows Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. #J-18808-Ljbffr

As a pre-training research engineer on HAIL, you will have a general mandate to improve all aspects of large-scale model training, including but not limited to kernel development, training data loading, parallelism, networking, and fault-tolerance. HAIL (HRT AI Labs) is the team at HRT responsible f

Hudson River Trading (HRT) is seeking an AI Research Engineer (Inference) to join the HAIL team. As an inference research engineer on HAIL, you will have a general mandate to improve all aspects of large-scale model inference, including but not limited to GPU kernel development, novel inference devi

LSE is committed to building a diverse, equitable and truly inclusive universityData and Technology ServicesResearch HPC Support EngineerSalary from 43,277 to 51,714 pa inclusive with potential to progress to 55,497 pa inclusive of London allowanceThe London School of Economics is a cosmopolitan uni

Your Contribution:As a Senior Audio AI Research Engineer, you will help explore and mature Audio AI solutions, combining technologies, enhancing their robustness, and solving complex problems prior to their productization. This involves optimizing integration with other components in the Audio AI pi

Is this role right for you? We’re looking for a candidate who can demonstrate:Has an inquisitive nature and desire to investigate and research new opportunities, ways of working and technologies that enhance our engineering offeringIs an enthusiastic Principal Engineer with the ability to form a

The Team:Our mission in Neo4j Research is to create technology options through research so that our product engineering teams can continue to lead the market.

At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. Our non-siloed, collaborative coding environment empowers talented engineers to make significant contributions and see their impact daily. We are seeking highly motivated and skilled

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.Google Labs incubates early-stage efforts to discover and create Google's next generation of AI products. Our small, product-driven teams focus on rapid innovation to support Google's core mission. The Language Applications team manages a portfolio, including high-profile launches such as AI Studio, NotebookLM and the Gemini API for developers.Labs Science is a new initiative within Language Applications. In partnership with Google DeepMind (GDM), we transform breakthrough research—such as Co-Scientist and AlphaEvolve—into user-centric products designed to accelerate the pace of scientific discovery.Minimum qualifications: Bachelor's degree or equivalent practical experience.8 years of experience in full-stack software development using languages such as C++, Java, Kotlin, and Typescript.3 years of experience with front-end frameworks, full-stack development, or API development.1 year of experience with software design, architecture, and machine learning.1 year of experience with agentic coding.Preferred qualifications: Master's degree or PhD in Engineering, Computer Science, or a related technical field.Experience programming in TypeScript or JavaScript.Experience working in a research-adjacent environment, translating SOTA models into product features.Familiarity with the Google Cloud Platform (GCP) and billing/infrastructure for compute-intensive workloads.Responsibilities: Partner with Google DeepMind to translate breakthrough GenAI research assets like Co-Scientist and AlphaEvolve into intuitive products that accelerate scientific discovery.Architect and build entirely new products from the ground up, moving rapidly from prototypes to production-ready services in a changing environment.Design and implement sophisticated agentic systems and multi-step AI prompts to solve complex, open-ended scientific tasks using the latest LLM reasoning advancements.Establish frameworks and metrics to measure model performance, driving continuous quality improvements and model fine-tuning for specific scientific use cases.Work closely with Product Managers and UX partners to discover user needs and iterate on features that genuinely delight the scientific community.TPBN1_UKTJ

Forward Deployed EngineerWe're partnering with a leading investment firm that is transforming how investment teams leverage data, AI, and technology. We are looking for a Forward Deployed Engineer (FDE) to sit at the intersection of engineering, data science, and investing, building production-grade solutions that directly influence investment outcomes.You'll work closely with portfolio managers, researchers, traders, and data scientists to identify opportunities, rapidly prototype solutions, and deploy scalable technology that creates a tangible edge for investment teams.What You'll DoPartner directly with investment professionals to solve complex business and research challenges.Design and build production-ready applications, workflows, and AI-powered tools.Transform ideas and prototypes into scalable systems used by front-office teams.Work across data engineering, software engineering, machine learning, and cloud technologies.Drive adoption of modern engineering practices and emerging technologies.Translate technical concepts into business impact for non-technical stakeholders.What We're Looking ForStrong software engineering experience with modern development frameworks.Experience building production-grade systems and end-user applications.Excellent problem-solving skills and a bias for action.Ability to work directly with business stakeholders and rapidly deliver solutions.Experience with cloud platforms, data pipelines, APIs, and AI/ML tooling.Strong communication skills and commercial mindset.Nice to HaveExperience in financial services, quantitative research, trading, or investment management.Exposure to LLMs, AI agents, NLP, or advanced analytics.Experience working in highly data-driven environments.If you're excited by the opportunity to work on some of the most exciting AI challenges in finance, leveraging cutting-edge technologies including Azure OpenAI, modern data platforms, and cloud-native engineering to deliver real-world impact for investment teams, then look no further.For the chance to build the tools that power better investment decisions, apply now to avoid disappointment.To find out more about Huxley, please visitTPBN1_UKTJ

Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skills and next-generation technology to each business challenge.We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognised worldwide not just for business performance but for inclusion and diversity too.Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us. Julie Sweet, Accenture CEORole DescriptionThis is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer is a production engineer who works embedded inside a client's enterprise, shoulder to shoulder with their teams, to make complex AI platforms work in real, messy organizational environments.Youown outcomes: time-to-value, adoption, reliability, and scalability. Not delivery milestones. Outcomes.The market is beginning to understand what leading technology companies havedemonstrated: AI products fail not because the models are weak but because deployment is broken. The gap between a successful AI pilot and an AI capability that scalesisbridged by engineers who can translate platform capability into measurable business value inside a real enterprise environment. That is this role.Forward Deployed AI Engineers form the execution spine of our Reinvention Deployment Engineering pods. We are building the largest FDE capability in the services industry. The engineers who join at this stage will define what the role looks like at scale and will have access to the hardest enterprise AI problems in the market across every industry.Key ResponsibilitiesOwn account-level AI transformation across the client enterprise from platformselectionand architecture through to enterprise-wide adoption and reinvention at scaleHold full accountability for deployment outcomes at account level: time-to-value, reliability, adoption, and ROI directly reported to client executive leadershipDrive ambiguity to resolution at account scale: translate executive-level strategic intent into production AI systemsoperatingacross the enterpriseDefine enterprise AI architecture standards and governance frameworks across the clientorganisation, spanning identity, data, security, multi-platform integration, and AI lifecycle managementOwn the relationship with client CTO, CFO, and CISO: shape AI investment strategy, board-level narrative, and multi-year reinvention roadmapCodify reusable patterns and playbooks that define what enterprise AI reinvention looks like assets that scale across markets, industries, and the FDE practice globallyLead executive workshops, board-level engagements, and cross-practice architecture reviews that shape the clients AI reinvention trajectoryDefine the FDE practice model: engineering standards, deployment playbooks, talent development frameworks, and the capability architecture that the practice is built onWhats In It For YouAt Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes up to 25 days vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice.Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the outstanding services we are known for.Basic QualificationsEngineering experience with cloud-native systems (APIs, microservices, containerization, serverless).Deepexpertisein designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.Experience with AI platforms OpenAI, Claude, Vertex AI, plus open-source models, including building abstraction layers to manage multi-provider pipelines.Experience leading software engineering teams: overseeing delivery,allocatingresources across workstreams, and owning the professional development of direct reports"Demonstrated end-to-end delivery ownership in a client-embedded environment, internal projects, vendor labs, or team-only deployments do not qualifyProven ability to articulate business value: can quantify the impact of deployments in terms a CFO would recognize and act onExperience presenting to and building trust with senior client stakeholders, CTO, CFO, or CISO levelNon-linear profiles are expected and welcomed, assessment is based ondemonstrateddeployment experience and outcome ownership, not CV pattern matchingAbout AccentureAccenture is a leading global professional services company that helps the worlds leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen servicescreating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the worlds leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.Visit us atEqual Employment Opportunity StatementWe believe that no one should be discriminated against because of their differences.?All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law.?Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.TPBN1_UKTJ

Compensation: Competitive (Financial Services)About TradingHubFounded in 2010, TradingHub delivers uniquely intelligent trade surveillance software to world leading financial institutions. Developed by market professionals, our solutions use sophisticated modelling techniques to detect single and cross-product market manipulation.With a team of over 150 experts worldwide, TradingHub combines global reach with deep markets expertise to help our customers mitigate financial, regulatory, and reputational risk.The RoleWe are hiring a Software Engineer to aid the design, build and maintenance of our market data environment and associated analytics. This hands-on position will attract those who are interested in working with complex architectures and are keen to apply their problem-solving skills in a practical setting.The successful candidate will work alongside Pricing Quants and Risk Strats to productionise financial markets data and follow a proactive approach to service enhancements.Responsibilities:Develop, support and productionise data and analytics which are integral to TradingHub's productsEnhance your understanding of financial markets and how market data is used within our key productsContribute to new tools development for the purposes of data lineage, governance and reportingResearch of data storage techniques and processing for large data setsUtilise our in-house big data language for large-scale modelling and analysisCollaborate with internal stakeholders to solve and understand critical production issuesRequirementsIndustry software engineering experience, preferably within financial servicesProficient with C#, Python, Java or similarGood knowledge of database design and data structuresProficiency with SQL-related technologiesKnowledge of AWS such as ECS, S3, DynamoDB is desirableEvidence of exceptional analytical and problem-solving skillsHigh attention to detail and keen to work on multiple fast-paced projects simultaneouslyProactive and curious mindset, with accountability as a core personal valueBenefitsLife at TradingHub is a rewarding journey within a fast-growing company that thrives on innovation and collaboration. By combining the best of technology and global markets, were able to solve complex problems together and deliver meaningful results to our customers. Everybody has value to bring, and we welcome individuality as a key driving force behind our collective success.Rooted in everything that we do are our core values: Accountability, Ambition, Partnership and Trust. These values provide the foundation for a sustainable workplace culture that empowers you to grow, contribute, and become your best self.Employee Benefits:Annual discretionary performance bonus (permanent employees only)Hybrid working policyOffice lunches twice a weekPrivate medical insurance + dental coverExtended parental leave (up to 6 months of fully paid maternity leave)25 days annual leave + bank holidaysEnhanced company pension plan5 days study leave towards professional qualificationsSalary sacrifice schemesDeath in service coverageDont tick every single requirement? Research shows that candidates from under-represented groups are less likely to apply unless they meet all the criteria. We are dedicated to building a diverse, equitable and inclusive workplace, so if this role excites you, please don't let our specification hold you back. Get in touch!TradingHub is an equal opportunities employer. We do not discriminate based on race, religion, ethnic or national origins, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, socio-economic background, responsibilities for dependants, physical or mental disability or other applicable legally protected characteristics. TradingHub selects candidates for interview based solely on their skills, experience and qualifications.We are committed to making our recruitment process accessible to all and we encourage candidates to inform us of any required adjustments. A full copy of our diversity, equity and inclusion policy will be made available to you upon request.TPBN1_UKTJ

At DeepMind, the Planet-Scale Resources, Infrastructure and Systems Management (PRISM) team brings together researchers and engineers to advance the frontiers of AI reasoning and autonomous agentic systems. We reject the false tradeoff between research and execution, pursuing breakthroughs on open AI challenges while embedding directly into core teams to land those capabilities in production.Our work powers Gemini & Gemma—developing core reasoning capabilities and RL scaling for Gemini 3, and leading Gemma 3 270M, including multi-agent Gemini capabilities. We deliver critical contributions to AI Grand Challenges (such as our gold medal-winning IMO 2025 effort), drive product innovations like 'deep think' mode and agentic inference scaling in antigravity, and lead Alphabet-wide initiatives including AI for Science and Project Big Sleep.In this role, you will operate across the full research-and-engineering lifecycle, developing distributed post-training infrastructure and algorithms that enable Gemini models to solve complex, multi-step problems autonomously.Artificial intelligence will be one of humanity's most transformative inventions. At Google 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 diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $207000 - $300000 (USD) + 20% bonus target + equity + benefitsLearn more about benefits at Google.Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, Physics, a related quantitative field, or equivalent practical experience.4 years of experience building, scaling, and debugging machine learning models using deep learning frameworks (e.g., JAX, PyTorch, or TensorFlow).Experience in one core area: Reinforcement Learning (RL), Post-Training (SFT/RLHF/RLAIF), Agentic Tool-Use, or Inference-Time Search.Preferred qualifications: PhD in Computer Science, Machine Learning, Physics, or a related quantitative field.Experience training and managing models on large-scale distributed accelerator clusters (e.g., TPUs or GPUs).Experience designing asynchronous agent-environment simulation loops or large distributed post-training pipelines.Experience prototyping new hypotheses quickly while keeping shared codebases clean, robust, and production-grade.Responsibilities: Operate across the full research-and-engineering lifecycle of frontier reasoning and agentic systems.Work on unsolved problems in agentic reasoning, turning early exploratory prototypes into hardened production features for Gemini releases.Architect and optimize distributed post-training pipelines and agent-environment simulation loops across thousands of accelerators.Design rigorous experiments and failure analyses to isolate performance bottlenecks and communicate findings through clear write-ups.Maintain high code quality and architectural health across shared reinforcement learning and modeling codebases.TPBN1_UKTJ

About us At Sierra, were creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Googles AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.What youll do Design and deliver production-grade AI agents : You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypesthey are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.Drive the Agent Development Life Cycle (ADLC) : You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.Partner with large enterprises and cutting-edge startups: Youll work directly with leaders at some of the worlds largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in London, embedding AI agents across their entire business stack to drive innovation and efficiency.Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.Example projects These are some examples of projects that engineers on our team have worked on recently:Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churnDevelop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendationsCreate generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog!Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent developmentExperiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customersWhat you'll bring Experience building and scaling end-to-end production systemsStrong technical problem-solving skills, especially in fast-changing, ambiguous environmentsA builder and tinkerers mindset with high agency - you find creative ways to overcome obstacles and shipComfort working directly with customers to understand their needs and solve real-world problemsExcellent communication skills - clear, direct, and persuasive across technical and non-technical audiencesEven better... Experience building or deploying AI/LLM systems in productionHave been a founder or founding engineer - you know what it means to balance craft, ownership, and speedFamiliarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineeringPrior experience with React, TypeScript, and/or GoPrevious roles where you interfaced with customers or led technical projects with external stakeholdersOur values Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isnt right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we dont have the luxury of patience. We play to win. We care about our product being the best, and when it isnt, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each others personal and professional achievements.What we offer We want our benefits to reflect our values and offer the following to full-time employees:Flexible (unlimited) paid time offMedical, dental, and vision benefits for you and your familyLife insurance and disability benefitsRetirement plan dependent on country of employmentParental leaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energizedDiscretionary benefit stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with us We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.TPBN1_UKTJ

YOU AREAs an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data andMLOps/LLMOpspipelines for training and production, and ensuring quality, value, and reliability of deployed systems.THE WORKFormulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutionsDevelop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps &MLOpsCustomize and apply Deep Learningand Gen AI models for various use cases based on the business needs, data availability,systemand infrastructure requirements - including edge device and HPCEngage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sitesWork with large-scale datasets andutilizedata preprocessing techniques to ensure high-quality input for training and productionImplement andmaintainefficient data storage and retrieval mechanisms for models and knowledge usingappropriate toolsJustify the value of model approaches in business problemsCollaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into productionEDUCATIONBachelor's Degree or equivalentBASIC (REQUIRED) QUALIFICATIONProven experience as a machine learning engineer or scientist, deploying models in production atscale ,including monitoring, alerting, automatic bug filing and auditing.Considerable experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programmingexperience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networksexperience in building and deploying AI/ML based software to a cloud environment.PREFERRED QUALIFICATIONProficiencyin Python andpython-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow,PyTorch)..Experience working with language models like LLM's APIs andoptimizingtheir usage for specific applications.Experience with the following programming languages: Python, C++, Java, R, SQLStrong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholdersStrong client-facing skillsets in a consulting environmentStrong cross-functional skills with the ability to collaborate with a variety of internal and client-side teamsEntrepreneurial mindset with a curiosity and passion for emergent tech and driving innovationMS or PhD in related field preferred (computer science, engineering, etc.)About AccentureAccenture is a leading global professional services company that helps the worlds leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen servicescreating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the worlds leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.Visit us atEqual Employment Opportunity StatementWe believe that no one should be discriminated against because of their differences.?All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law.?Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.TPBN1_UKTJ

YOU AREYou are a a strong individual contributor knowledge engineer growing into a team lead. You are well versed in the full knowledge graph development lifecycle. You formulate real-world problems into practical, efficient, scalable AI and Knowledge Graph solutions, working hands-on across the lifecycle from ingestion through modeling, curation, and deployment. You apply current methodologies, techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies as needed. You help articulate the value of generative AI and knowledge graph approaches for a given business problem. You share what they learn with the team. You collaborate with users, use case reps, engineers, architects, and UI designers to deliver their piece of an end-to-end solution.THE WORKBuild Knowledge Graph components that contribute to transforming a client's data architecture.Design, develop, and implement AI and semantic solutions; ensure their work integrates cleanly with the broader system.Work alongside the project team and delivery leads.Build solid working relationships with client counterparts on their workstream.Help assemble the supporting evidence for the recommended semantic layer solution.Support Accenture sales efforts when called on.Keep developing skills in cutting-edge Data & AI solutions, especially agentic technologies, and shares with the team.BASIC (REQUIRED) QUALIFICATIONBachelor's degree or equivalent, plus at least 3 of the following:Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL)Experience in schema design, ontology management, and KG curationExpertise in designing and developing KG solutions and graph-based ML models (functional + technical)Experience with end-to-end data pipeline implementation for AI applications (esp. LLMs), with hands-on design and configurationExperience with strong knowledge of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databasesPREFERRED QUALIFICATIONHands-on experience with cloud platforms (AWS, Azure, GCP)Experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow)Practical experience with NLP and/or Search techniquesPrompt engineering, and LLMs for enterprise-scale applications.You have team lead experienceStrong collaboration skills with the ability to work across engineering, research, and product teams across multiple time zones.You have external client-facing consulting experienceBroad experience in diverse ML techniques and agentic systemsAbout AccentureAccenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us atEqual Employment Opportunity StatementWe believe that no one should be discriminated against because of their differences.?All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law.?Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.TPBN1_UKTJ

Mechanical Design R&D Engineer up to £c50k + BonusABJ6733Perm Hybrid 3:2An exciting opportunityhas arisen for an experienced mechanical / electro mechanical Research & Development Technology Engineer to join an innovative engineering and R&D team focused on developing new products.As a mechanical engineer or electro mechanical engineer you will work at the front end of research and development, where you will transform early-stage ideas into working proof-of-concept devices. A mechanical engineer you will play a key role in exploring new technologies through creative problem-solving, rapid prototyping, experimental testing, modelling and engineering analysis.As electro mechanical engineer this role is about developing entirely new technologies, reducing technical risk and generating the engineering evidence needed to support future product development.As mechanical engineer you will collaborate with multidisciplinary teams including engineering, industrial design, science, prototyping, product stewardship, project management and external technology partners.Key Responsibilities Lead front-end R&D technology workstreams from concept through to technical proof of feasibility.Design, build and develop proof-of-concept devices, prototypes, test rigs and experimental equipment.Apply first-principles engineering, physics, modelling and practical engineering judgement to solve complex technical challenges.Plan, execute and analyse experimental testing programmes, using results to refine designs and guide future development.Produce engineering calculations, modelling and technical analysis to support design decisions.Identify technical risks and implement practical solutions to reduce uncertainty.Work closely with internal specialists, suppliers and external technology partners to accelerate innovation.Support intellectual property awareness by identifying potential patent opportunities and maintaining confidentiality of technical developments.Present technical findings through reports, presentations, design reviews and engineering documentation.Capture and document technical learning to enable successful transfer into future product development programmes.Skills & ExperienceDegree in Mechanical Engineering, Product Design, Electro-Mechanical Engineering or PhysicsExperience within an engineering R&D, technology development or product innovation environment.Very desirable - experience with Siemens NX / types of products or projects you used it for.Experience using 3D CAD solid works AutoCAD and engineering drawings.Developing new technologies with hands-on prototyping capabilityHands-on prototyping, mechanical assembly and experimental engineering.Designing, modifying and troubleshooting prototype hardware, fixtures or test equipment.Applying engineering calculations, physics, modelling or simulation to solve technical problems.Managing technical work packages or small engineering projects with minimal supervision.Understanding of rapid prototyping and manufacturing techniques.Strong analytical skills supported by engineering calculations or modelling.This is an excellent opportunity for an engineer who enjoys taking ideas from concept to reality, thrives on solving complex technical challenges and wants to play a key role in developing innovative technologies for future products.Full Time PermanentBenefits: V Competitive base salary up to 50k + 30 % Bonus, Private Health Insurance, Pension 20%To Apply: Please contact Alison Basson on 0203 909 3782 / 07814547440 or apply for ABJ6733 toTPBN1_UKTJ

Senior AI/ML Computational ScientistCareer Level: Senior Manager / Associate DirectorYOU AREAs a senior AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data andMLOps/LLMOpspipelines for training and production, and ensuring quality, value, and reliability of deployed systems.THE WORKFormulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutionsDevelop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps &MLOpsCustomize and apply Deep Learningand Gen AI models for various use cases based on the business needs, data availability,systemand infrastructure requirements - including edge device and HPCEngage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sitesWork with large-scale datasets andutilizedata preprocessing techniques to ensure high-quality input for training and productionImplement andmaintainefficient data storage and retrieval mechanisms for models and knowledge usingappropriate toolsJustify the value of model approaches in business problemsCollaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into productionEDUCATIONBachelor's Degree or equivalentBASIC (REQUIRED) QUALIFICATIONSignificant experience as a machine learning engineer or scientist, deploying models in production atscale ,including monitoring, alerting, automatic bug filing and auditing.Extensive experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programmingWell versed in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networksEstablished experience in building and deploying AI/ML based software to a cloud environment.PREFERRED QUALIFICATIONProficiencyin Python andpython-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow,PyTorch)..Experience working with language models like LLM's APIs andoptimizingtheir usage for specific applications.Experience with the following programming languages: Python, C++, Java, R, SQLStrong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholdersStrong client-facing skillsets in a consulting environmentStrong cross-functional skills with the ability to collaborate with a variety of internal and client-side teamsEntrepreneurial mindset with a curiosity and passion for emergent tech and driving innovationMS or PhD in related field preferred (computer science, engineering, etc.)About AccentureAccenture is a leading global professional services company that helps the worlds leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen servicescreating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the worlds leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.Visit us atEqual Employment Opportunity StatementWe believe that no one should be discriminated against because of their differences.?All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law.?Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.TPBN1_UKTJ

About UsPerk (formerly TravelPerk) is the intelligent platform for travel and spend management. Built to tackle the time-consuming, manual work that gets in the way of real work, our tools automate everything from travel bookings to expenses, invoice processing, and more. By eliminating this shadow work that wastes hours, erodes morale, and saps innovation, we're on a mission to power real work, with real impact.We're trusted by more than 12,000 companies worldwide, including On Running, Breitling, and Fabletics, and we're tackling the 7 hours of lost productivity per employee each week, a $1.7 trillion problem.Founded in 2015, Perk has grown into a global company of more than 1,800 people across 12 offices globally, with headquarters in London and Boston. We combine innovation, control, and simplicity to transform how businesses work and how people feel at work.At Perk, we're driven by our values, like being an owner, delivering a 7-star experience, and working as one team. We value curiosity, purpose, and mindset, not just knowledge, to unlock the power in your potential. Our talent team brings together leading minds from the travel, fintech, and SaaS industries, representing over 70 countries. If you're excited about having a real impact and shaping how millions of people experience work, we'd love you on the team.Visit to learn more.The RolePerk is building a modern, AI-powered outbound and pipeline generation motion in close partnership with Sales and Marketing leadership. The Revenue Systems and GTM Engineering function sits at the centre of this transformation, designing and operating the data infrastructure, Clay-based enrichment systems, and AI-driven workflows that enable our revenue teams to execute at scale.This is not a traditional RevOps or systems admin role. The Senior GTM Engineer is a hands-on builder: someone who constructs sophisticated Clay workflows from scratch, engineers AI-powered enrichment pipelines, and translates signal-based prospecting strategies into production-ready systems. As AI continues to reshape B2B sales, this role is responsible for staying ahead of the curve and identifying where LLMs, AI agents, and intelligent automation can replace manual effort and improve outbound precision.The role reports to the Senior Manager, Revenue Systems, and works closely with the central GTM Engineering team, Revenue Operations, and Sales leadership. It offers a direct, visible impact on how Perk builds and scales its commercial engine.What You'll DoClay Engineering & AI-Powered Outbound InfrastructureOwn the design, build, and maintenance of Clay tables, waterfall enrichment flows, and AI column logic that power Perk's outbound engine.Engineer multi-step Clay workflows using webhooks, HTTP API integrations, and conditional branching to automate account and contact sourcing at scale.Build and iterate on AI prompt layers within Clay using LLM columns to generate personalised outreach snippets, research account context, and qualify leads programmatically.Construct and maintain signal-based prospecting systems that ingest buying triggers (hiring signals, funding events, intent data) and route them into prioritised Clay tables for Sales activation.Integrate Clay with Salesforce, Outreach, and data providers (Clearbit, Apollo, LinkedIn, PredictLeads, and others) to maintain clean, enriched, and timely GTM data.AI Workflow Design & AutomationEvaluate and implement AI tooling, including LLM-based research agents, AI SDRs, and prompt-engineered enrichment flows, to scale outbound relevance without scaling headcount.Design and maintain Outreach sequences that incorporate AI-generated personalisation, ensuring high-volume dialling and email campaigns feel 1:1 at scale.Identify and automate repetitive GTM operations (list building, data hygiene, routing, deduplication) using Clay, Make, and custom API scripts.Maintain a working knowledge of the AI GTM vendor landscape and bring forward well-reasoned recommendations on new tooling.Data Quality & Enrichment ArchitectureOwn TAM sourcing and enrichment workflows, building waterfall logic that sequences providers (e.g. Clearbit -> Fullenrich -> LinkedIn) to maximise contact coverage and data completeness. This includes engineering matching logic and scoring systems to accurately identify net-new accounts against existing CRM data (using identifiers like domain, LinkedIn, and country) before routing them to Sales.Maintain accurate account and contact data across Salesforce and connected GTM tools, with automated hygiene rules to catch decay before it reaches Sales.Define and enforce data quality standards for ICP segmentation, territory assignment, and pipeline attribution.GTM Systems & Sales ProductivityConfigure and maintain the core GTM stack (Salesforce, Outreach, Gong, Clay) to support high-volume outbound activity and ambitious pipeline targets.Partner directly with Sales to diagnose productivity bottlenecks and build systems solutions, from routing logic to sequence architecture to dialler integrations.Rapidly troubleshoot system and workflow failures to minimise lost selling time during core business hours.Cross-Functional Collaboration & Roadmap ExecutionServe as the primary systems contact for Revenue Systems and GTM Engineering support, owning issue resolution end-to-end.Execute against the Revenue Systems roadmap in partnership with the Senior Manager and central GTM Engineering team.Share learnings, workflow templates, and Clay builds with the global GTM Engineering team to drive consistency and compound improvement across regions.Provide ground-level feedback to inform roadmap prioritisation, surfacing patterns in what's breaking, slowing, or blocking revenue teams.What We're Looking ForMust-Have6+ years in GTM Engineering, Revenue Operations, or Sales Operations in a B2B SaaS environment, with a strong technical orientation.Hands-on Clay expertise; you have built complex Clay tables, waterfall enrichment flows, webhook integrations, and AI column prompts in a production environment, not just experimented with the tool.Direct experience applying AI to GTM workflows: prompt engineering for LLM-based enrichment, AI-powered personalisation at scale, or building/evaluating AI SDR tooling.Salesforce proficiency: building and maintaining custom objects, flows, reports, and data integrity logic.Familiarity with sales engagement platforms (Outreach or SalesLoft) and their integration with CRM and enrichment tooling.Ability to work with APIs, webhooks, and lightweight automation tools (Make, Zapier, or equivalent) without requiring engineering support for every integration.Strong data instincts: you build systems that keep data clean, catch decay early, and ensure Sales always operates from a high-quality foundation.Strong AdvantageExperience building signal-based outbound systems using intent data, hiring signals, or funding triggers surfaced through Clay or similar infrastructure.Familiarity with data providers in the GTM stack: Clearbit, Apollo, PredictLeads, LinkedIn Sales Navigator, Bombora, or similar.Exposure to Gong data and using conversation intelligence to inform outbound strategy or sequence design.Experience in a high-growth SaaS environment.What We OfferReceive competitive compensation and equity ownership in PerkRest and recharge with 25 days of annual leave plus bank holidaysTake control of your physical health with private medical cover and voluntary dental insurance from Bupa, and discounted gym memberships with GymFlexPlan for your future with our qualifying earnings company pension plan with AvivaKnow that your loved ones are protected financially through your Life Insurance if the worst were to happenRest assured that you're covered by income protection in case you experience a long-term sickness or absenceLeverage tax-efficient cycle and electric car schemes with Cycle2Work & OctopusJoin our unforgettable Perk events, including our spectacular annual summer partyAlways feel supported with Spring Health, our market-leading wellbeing partner, providing fast, comprehensive access to 12x therapy and 12x coaching sessions for you and your loved onesFocus on your family with 12-16 weeks' paid parental leaveContribute to your community with 16 paid hours per year to spend volunteering for your dearest charitable causesBroaden your horizons with up to 20 "Work from Anywhere" days per yearStay savvy with access to a wide variety of discounts and rewardsFollow your passions and take a four-week, fully paid sabbatical once you reach 5 yearsLet us help you move to one of our hubs with relocation supportAI at PerkAI is embedded in how we work across every function. The tools you'll use day-to-day are AI-enabled so you can move faster and spend more time on the work that matters. In practice, that means using AI to research and prioritise accounts, draft and refine outreach, handle customer interactions more effectively, synthesise information, and cut through shadow work - the invisible tasks that pull people away from the work only they can do - so you can focus on relationships and outcomes.How We WorkAt Perk, we take an IRL-first approach to work, where our team works together in-person 3 days a week. As such, this role requires you to be based within commuting distance of our hubs. We fundamentally believe in the value of meeting in real life to improve connectivity, productivity, creativity and ultimately making us a great place to work.For certain roles, we can help with relocation from anywhere in the world, English is the official language at the office. Please submit your resume in English if you choose to apply. Do not forget to submit an updated portfolio and/or resume.Perk is a global company with a diverse customer base, and we want to make sure the people behind our product reflect that. We're an equal opportunity employer, which means you're welcome at Perk regardless of how you look, where you're from, or anything else that makes you, well, you.Protect Yourself from Recruitment ScamsAll official communication from Perk will always come from email addresses ending in @perk.com or @externalperk.com, our verified social media channels, or recruiters listed on our official LinkedIn page. We will never ask you to pay for equipment, training, or fees, request sensitive personal information such as bank details early in the process, or communicate through unofficial apps like WhatsApp, Telegram, or Signal. If you receive a message claiming to be from Perk that seems suspicious, please do not respond. Forward it to security [at] perk .com, and we will confirm whether it is legitimate.#LI-HybridTPBN1_UKTJ

Compensation: Competitive (Financial Services)About TradingHubFounded in 2010, TradingHub delivers uniquely intelligent trade surveillance software to world leading financial institutions. Developed by market professionals, our solutions use sophisticated modelling techniques to detect single and cross-product market manipulation.With a team of over 150 experts worldwide, TradingHub combines global reach with deep markets expertise to help our customers mitigate financial, regulatory, and reputational risk.The RoleWe're looking for a Senior Software Engineer to join our Structured Data team and help drive the evolution of a platform that sits at the heart of TradingHub's products and services. This role is ideal for an engineer who enjoys working across large, complex systems and collaborating with a wide range of stakeholders.The right candidate play a key role in owning and supporting a sophisticated technology stack, improving platform reliability and scalability, and shaping the architecture that underpins our next phase of growth.Responsibilities:Owning and supporting critical components of TradingHub's platform.Collaborating with Quant teams to understand complex data requirements and deliver robust platform capabilities.Designing, building and maintaining services that support large-scale data processing and analytics workloads.Improving and maintaining sophisticated CI/CD pipelines to enable reliable and efficient software delivery.Contributing to the architecture and evolution of cloud-native data platformsSupporting platform performance, stability and scalability as TradingHub continues to growRequirementsProficiency with C#, Python or JavaStrong experience of working within financial marketsProficiency with SQL-related technologiesKnowledge of AWS or other cloud native technologiesEvidence of exceptional analytical and problem-solving skillsHigh attention to detail and keen to work on multiple fast-paced projects simultaneouslyProactive and curious mindset, with accountability as a core personal valueBenefitsLife at TradingHub is a rewarding journey within a fast-growing company that thrives on innovation and collaboration. By combining the best of technology and global markets, were able to solve complex problems together and deliver meaningful results to our customers. Everybody has value to bring, and we welcome individuality as a key driving force behind our collective success.Rooted in everything that we do are our core values: Accountability, Ambition, Partnership and Trust. These values provide the foundation for a sustainable workplace culture that empowers you to grow, contribute, and become your best self.Employee Benefits:Annual discretionary performance bonus (permanent employees only)Hybrid working policyOffice lunches twice a weekPrivate medical insurance + dental coverExtended parental leave (up to 6 months of fully paid maternity leave)25 days annual leave + bank holidaysEnhanced company pension plan5 days study leave towards professional qualificationsSalary sacrifice schemesDeath in service coverageDont tick every single requirement? Research shows that candidates from under-represented groups are less likely to apply unless they meet all the criteria. We are dedicated to building a diverse, equitable and inclusive workplace, so if this role excites you, please don't let our specification hold you back. Get in touch!TradingHub is an equal opportunities employer. We do not discriminate based on race, religion, ethnic or national origins, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, socio-economic background, responsibilities for dependants, physical or mental disability or other applicable legally protected characteristics. TradingHub selects candidates for interview based solely on their skills, experience and qualifications.We are committed to making our recruitment process accessible to all and we encourage candidates to inform us of any required adjustments. A full copy of our diversity, equity and inclusion policy will be made available to you upon request.TPBN1_UKTJ

About Atos GroupAtos Group is a global leader in digital transformation with c. 63,000 employees and annual revenue of c. €8 billion, operating in 61 countries under two brands Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris.The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.About Our TeamOur Full stack engineering team brings together experienced engineers, diverse perspectives, and a flat team structure that enables visibility and impact from day one. With 4050 professionals across the practice, we deliver some of the most exciting projects in the market from next-generation fintech payment platforms to global insurance systems deployed across multiple countries.AI is an important part of our work, but this role is grounded in strong software engineering fundamentals. We are looking for senior engineers who enjoy architecture, system design, and end-to-end delivery, with a genuine interest in modern technologies, including AI.The role requires Security Clearance or ability to get SC in short timescales.About the RoleWe are seeking a Senior Full Stack Engineer who is passionate about building high-quality software and designing robust systems. You will work on complex, large-scale solutions across multiple technology stacks, collaborating closely with clients and internal stakeholders. While you will help guide other engineers, this role is engineering-led rather than people-management-focused.Where Purpose Meets CareerTechnologyThis is a true full-stack role , offering exposure to a broad range of technologies and architectures. You will continuously upskill while working alongside highly talented engineers, selecting the most appropriate tools and languages for each challenge.Contribute to diverse and meaningful projectsFrom automating government client systems and delivering large-scale platform migrations, to applying AI to enhance our products including next-generation fintech payment platforms and global insurance systems deployed across multiple countries.CultureOur culture is built by people who genuinely love technology. We value curiosity, collaboration, and continuous learning, and we actively support innovation and knowledge sharing.Your Future RoleAs a Senior Full Stack Engineer, you will:Design, build, and deploy scalable, high-quality systemsTranslate business and client requirements into technical solutionsWork directly with clients, moving quickly from concept to productionLead by example through hands-on developmentContribute to architectural decisions across multiple teamsSupport and mentor engineers while remaining deeply involved in deliveryWhat You BringA proven track record in full stack developmentExperience designing systems and solutions independentlyExperience providing technical leadership while staying actively involved in hands-on development is highly valued.Experience RequiredSolid understanding of maintainable code, systems design and software architectureExperience working across multiple technology stacksStrong experience with library-appropriate, strongly typed languages such as C++, Java, C#, Go or Rust , along with relevant front-end frameworksHigh adaptability and the ability to learn new technologies quicklyInterest in modern technologies such as new languages, AI, cloud platformsStrong communication skills and confidence working with clients and distributed teamsYour Benefits, Your Way25 days annual leave , with the option to purchase additional daysPrivate HealthcareLife AssuranceIncome ProtectionPension contribution matched up to 10%Flexible benefits , allowing you to tailor your package around wellbeing, family support, and moreSelection ProcessRecruiter introductionOnline test (approximately 35 minutes, completed in your own time)Technical interview with the Head of Gen AI PracticeLive coding session with a future colleague(All interviews are conducted via MS Teams.)Recruiter Contact:Please write directly to Ofelia Georgieva on Ofelia Georgieva | LinkedIn |Diversity, Equity & InclusionHere at Atos, diversity and inclusion are embedded in our DNA.Read moreabout our commitment to a fair work environment for all. As a Disability Confident employer, we encourage applications from all applicants, especially, differently abled applicants. We aim to ensure that those who meet the minimum criteria for this position will be offered an interview. We are committed and willing to making reasonable adjustments to the application and assessment process to accommodate your needs.We are also a care leaver-friendly employer. If you require additional support with your application, please contact our recruiter or send an email to our dedicated mailbox -Lets grow together.TPBN1_UKTJ

Role DescriptionThis is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer is a production engineer who works embedded inside a client's enterprise, shoulder to shoulder with their teams, to make complex AI platforms work in real, messy organizational environments.Youown outcomes: time-to-value, adoption, reliability, and scalability. Not delivery milestones. Outcomes.The market is beginning to understand what leading technology companies havedemonstrated: AI products fail not because the models are weak but because deployment is broken. The gap between a successful AI pilot and an AI capability that scalesisbridged by engineers who can translate platform capability into measurable business value inside a real enterprise environment. That is this role.Forward Deployed AI Engineers form the execution spine of our Reinvention Deployment Engineering pods. We are building the largest FDE capability in the services industry. The engineers who join at this stage will define what the role looks like at scale and will have access to the hardest enterprise AI problems in the market across every industry.Key ResponsibilitiesEmbed directly with client engineering and business teams to deploy, scale, and operationalize AI platforms Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir inside enterprise environmentsOwn production outcomes end-to-end: time-to-value, reliability, adoption velocity, and scalability, with business metrics attached not just delivery milestonesMove from ambiguous business problem to working production system through rapid experimentation: days to prototype, weeks to production-readyDesign and govern AI architectures across the full enterprise stack: identity, data, security, governance, platform layer, and workflow integrationTranslate technical architecture into business impact for client CTO, CFO, and CISO; shape use case roadmaps, ROI backlogs, and AI adoption strategyBuild reusable patterns, playbooks, and accelerators that the client owns after you leave enabling the client team to run it without youLead design workshops, proofs of concept, architecture walkthroughs, and code-with sessions with client engineering and leadership teamsCodify patterns and delivery learnings that scale across engagements and contribute to the growth of the FDE practiceBasic QualificationsEngineering experience with cloud-native systems (APIs, microservices, containerization, serverless).Deepexpertisein designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.Experience with AI platforms OpenAI, Claude, Vertex AI, plus open-source models including building abstraction layers to manage multi-provider pipelines.Experience deploying toproduction,CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.Demonstrated end-to-end delivery ownership in a client-embedded environment, internal projects, vendor labs, or team-only deployments do not qualifyProven ability to articulate business value: can quantify the impact of deployments in terms a CFO would recognize and act onExperience presenting to and building trust with senior client stakeholders, CTO, CFO, or CISO levelNon-linear profiles are expected and welcomed, assessment is based ondemonstrateddeployment experience and outcome ownership, not CV pattern matchingAbout AccentureAccenture is a leading global professional services company that helps the worlds leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen servicescreating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the worlds leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.Visit us atEqual Employment Opportunity StatementWe believe that no one should be discriminated against because of their differences.?All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law.?Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.TPBN1_UKTJ

JOB DESCRIPTIONAs a Senior Software Engineer at JPMorganChase within the Electronic Trading Services Platforms you will utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a driver of innovation and solution delivery.You will work directly with the Electronic Trading Lines of Business to ensure the technical strategy aligns with and accomplishes business goals, to develop solutions to compute engineering challenges, and to provide guidance and mentorship to partner technical teams. They will be an expert advisor to peers, leadership, and stakeholders.Job responsibilitiesLeads technology and process implementations to achieve functional technology objectivesWork directly with Lines of Business to understand and address their needs and challenges within the compute space within a low-latency Electronic Trading environmentDirect the strategies for server hardware platform, server/OS tuning and automation, and infrastructure application lifecycleDesign Authority for the compute infrastructure application stack, including build and configuration management, and log/metric aggregationInterface with hardware and software vendors on product roadmaps and to establish the next generation of Electronic Trading Platform infrastructureMakes decisions that influence teams' resources, budget, tactical operations, and the execution and implementation of processes and proceduresCarries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operationsDelivers technical solutions that can be leveraged across multiple businesses and domainsInfluences peer leaders and senior stakeholders across the business, product, and technology teamsChampions the firm's culture of diversity, opportunity, inclusion, and respectRequired qualifications, capabilities, and skillsFormal training or certification on software engineering concepts and 10+ years applied experience.Understanding of IPv4 networking, including OSI model, unicast/broadcast/multicast, routing, and network segregation mechanismsExtensive experience with Configuration Management, preferably Chef or AnsibleExperience developing or leading cross-functional teams of technologistsExperience with hiring, developing, and recognizing talentExperience leading a product as a Product Owner or Product ManagerPractical cloud native experienceExpertise in Computer Science, Computer Engineering, Mathematics, or a related technical fieldPreferred qualifications, capabilities, and skillsMentor SRE and partner teams on automation best practices, technical thought process, and modern infrastructure managementLinux administration, performance tuning, and benchmarking for low-latency Electronic Trading, preferably Red Hat Enterprise LinuxExtensive experience with Configuration Management, preferably Chef or AnsiblePerforming various research/development/risk-analysis as it pertains to the aforementionedUnderstanding of standard cryptography (certs, key pairs, communication, etc.)Experience with database management systems, preferably PostgreSQLABOUT USJ.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 ourFAQsfor more information about requesting an accommodation.ABOUT THE TEAMOur Global Technology Infrastructure group is a team of innovators who love technology as much as you do. Together, you'll use a disciplined, innovative and a business focused approach to develop a wide variety of high-quality products and solutions. You'll work in a stable, resilient and secure operating environment where youâ??and the products you deliverâ??will thrive.High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.TPBN1_UKTJ

YOU AREYou are a a strong individual contributor knowledge engineer growing into a team lead. You are well versed in the full knowledge graph development lifecycle. You formulate real-world problems into practical, efficient, scalable AI and Knowledge Graph solutions, working hands-on across the lifecycle from ingestion through modeling, curation, and deployment. You apply current methodologies, techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies as needed. You help articulate the value of generative AI and knowledge graph approaches for a given business problem. You share what they learn with the team. You collaborate with users, use case reps, engineers, architects, and UI designers to deliver their piece of an end-to-end solution.THE WORKBuild Knowledge Graph components that contribute to transforming a client's data architecture.Design, develop, and implement AI and semantic solutions; ensure their work integrates cleanly with the broader system.Work alongside the project team and delivery leads.Build solid working relationships with client counterparts on their workstream.Help assemble the supporting evidence for the recommended semantic layer solution.Support Accenture sales efforts when called on.Keep developing skills in cutting-edge Data & AI solutions, especially agentic technologies, and shares with the team.BASIC (REQUIRED) QUALIFICATIONBachelor's degree or equivalent, plus at least 3 of the following:Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL)Experience in schema design, ontology management, and KG curationWell versed in designing and developing KG solutions and graph-based ML models (functional + technical)Proven experience with end-to-end data pipeline implementation for AI applications (esp. LLMs), with hands-on design and configurationStrong knowledge and working experience with relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases(no leadership/commercial requirement at this band)PREFERRED QUALIFICATIONHands-on experience with cloud platforms (AWS, Azure, GCP)Well versed in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow)Practical experience with NLP and/or Search techniquesPrompt engineering, and LLMs for enterprise-scale applications.You have team lead experienceStrong collaboration skills with the ability to work across engineering, research, and product teams across multiple time zones.You have external client-facing consulting experienceBroad experience in diverse ML techniques and agentic systemsAbout AccentureAccenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us atEqual Employment Opportunity StatementWe believe that no one should be discriminated against because of their differences.?All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law.?Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.TPBN1_UKTJ

About this roleWhat are Aladdin and Trading Engineering???You will be working on BlackRock's investment operating system called Aladdin. Aladdin is used both internally within BlackRock and externally by many financial institutions. Aladdin combines sophisticated risk analytics with comprehensive portfolio management, trading, and operations tools on a single platform to power informed decision-making and create?a connective?tissue for thousands of users investing worldwide.?Our trading engineering team is a highly skilled, collaborative group of technology professionals dedicated to building robust solutions that empower our trading business. We?operate?at the intersection of finance and technology, designing systems that ensure reliability, speed, and scalability in a global trading environment. The team is known for its innovative mindset, problem-solving abilities, and passion for delivering high-quality software that drives?real business?outcomes. We foster a culture of continuous learning, open dialogue, and technical excellence, making us a hub for ambitious engineers eager to make a tangible impact.You will be at the heart of BlackRock's Aladdin, building?the platform?that drives?ours and our clients?investment and trading operations. Each day, you will design, develop, and?maintain?scalable and high-performance applications, collaborating closely with traders, product managers, and fellow engineers to define requirements and deliver impactful solutions.Your role will involve troubleshooting technical challenges,?optimizing?services and data pipelines, and continuously researching?new technologies?to enhance system performance. By mentoring junior engineers and contributing to our?team?culture,?youll?help ensure the reliability, security, and efficiency of mission-critical trading systems in a dynamic, fast-paced environment.??About the roleDesign, develop, and?maintain?scalable web applications and backend services to support trading operations.?Collaborate with cross-functional teams including traders, product managers, and other engineers to define requirements and deliver solutions.?Implement and?optimize?high-performance APIs, microservices, and data processing pipelines.?Ensure best practices in code quality, testing, deployment, and security.?Troubleshoot and resolve technical issues across the full stack with a focus on reliability and efficiency.Continuously research and adopt?new technologies?to improve team productivity and system performance.Mentor junior engineers and contribute to a positive, innovative team culture.?About youBachelors or masters degree in computer science, Engineering, or?a related?technical field.Minimum 4 years proven experience as a Full Stack Engineer, preferably in trading, finance, or similarly complex environments.Strong?proficiency?in modern web frameworks (such as React, Angular, or Vue)Proven experience with object-oriented programming languages such as Java 17+Expertise?in designing and?maintaining?RESTful APIs?and?GraphQL?APIs?is a plus..Experience?working with databases SQL and NoSQL?(highly available distributed NoSQL data storage platforms, Ignite).?Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.?Strong understanding of software development life cycle, agile methodologies, and best engineering practices.?Strong understanding of design patterns in?an?enterprise environment.?Excellent problem-solving skills and an analytical mindset.?Preferred Qualifications?Prior experience working in trading or financial services technology teams.?Knowledge of trading protocols, and low-latency systems.?Familiarity with data analytics and?visualization?tools.?Experience working with Spring Framework and Spring Boot web services.Fostering a collaborative environment and driving projects to successful completion.?What We Offer?The chance to make a real impact?in?a global trading environment.?A collaborative, inclusive team with a focus on professional growth and technical excellence.?Opportunities to work with?cutting-edge?technologies and complex problem domains.?Support for ongoing training, certification, and career progression.?Our benefitsTo help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.Our hybrid work modelBlackRocks hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.Guidance on AI use for candidatesAt BlackRock, AI has long been part of how we work enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, weve provided guidanceon when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.About BlackRockAt BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their childrens educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.This mission would not be possible without our smartest investment the one we make in our employees. Its why were dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.TPBN1_UKTJ

We're Kingfisher, A team made up of over 74,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas - to life. That's right, we're big, but we have ambitions to become even bigger and even better. We want to become the leading home improvement company and grow the largest community of home improvers in the world. And that's where you come in.At Kingfisher, our customers come from all walks of life, and so do we. We want to ensure that all colleagues, future colleagues, and applicants to Kingfisher are treated equally regardless of age, gender, marital or civil partnership status, colour, ethnic or national origin, culture, religious belief, philosophical belief, political opinion, disability, gender identity, gender expression or sexual orientation.We are open to flexible and agile working hours and locations. Therefore, we offer colleagues a blend of working from home and our offices. Talk to us about how we can best support you!We are looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science team. You will trailblaze the development of data science algorithms, while building, leading, nurturing and retaining a high performing data science team working on banner as well as group priorities.Lead the implementation of data science projects and data science approaches to support commercial goalsDevelop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of workingCollaborate with tech, product and data teams to develop the data platforms that allow us to apply data science and embed the use of data science directly in our products and processesSupport diverse teams in translating between business and data in the design of project work, and in the synthesis and communication of recommendations and resultsBe a champion and role model for the application of data science across the Kingfisher groupSupport the data leadership team in developing a “data culture” and demonstrating the value of data in our decision makingLead our efforts to develop the data science (and broader customer analytics) “brand” at Kingfisher for both internal and external audiencesProven experience delivering high-quality AI-based products and productionisation of Machine Learning based productsProven experience developing cloud-based machine learning services using one or more cloud providers (preferably GCP)Excellent understanding of classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.)Strong knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib)Strong software development skills (Python is the preferred language)Proven experience in deploying ML/AI services suing Kubernetes & KubeFlowStrong management and leadership skills – previous experience managing a teamStrong influencing, communication and stakeholder management skillsBe Customer Focused – constantly improving our customers' experienceWe listen to our customers and colleaguesWe innovate products and experiences to stay aheadBe Human – leading with purpose, humanity and careWe do the right thingWe invest in our people and build great teamsBe Curious – thrive on learning, thinking beyond the obviousWe focus externally, globally and build the long termWe experiment and share our learningsBe Agile – building trust and empowering people to work with agilityWe act with pace, not perfection, role modelling 80/20We take risks, fail fast and adapt quicklyBe Inclusive – inspiring diverse teams to achieve togetherWe celebrate difference as a strengthWe collaborate, breaking down silosBe Accountable – owning the plan, delivering results and growthWe focus on performance outcomesWe prioritise and simplify for othersAt Kingfisher, we value the perspectives that any new team members bring, and we want to hear from you. We encourage you to apply for one of our roles even if you do not feel you meet 100% of the requirements.In return, we offer an inclusive environment, where what you can achieve is limited only by your imagination! We encourage new ideas, actively support experimentation, and strive to build an environment where everyone can be their best self.We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career.Interested? Great, apply now and help us to Power the Possible.#LI-TB1TPBN1_UKTJ

About this roleYour teamThis role sits withinPreqin, part of BlackRock, and is aligned to the Derived Data team.Preqinis a leading provider of private markets data and analytics, delivering trusted data, benchmarks, and insights that support decision-making across the privatemarketsinvestment lifecycle. The team develops high-quality data products and scalable technology solutions that increase transparency and enable data-driven decision-making across private markets. Your work will contribute directly to BlackRocks strategy of delivering integrated public and private market solutions.Your role and impactWe are looking for a data-savvy software engineer to help build scalable, production-grade systems that support the research, experimentation, and development of innovative private markets data products.As a Vice President, you willoperatein a player-coach model, combining hands-on technical leadership with people management responsibilities.You will partner closely with product, analytics, and business stakeholders to translate strategic priorities into robust technical solutions and delivery plans while setting a high bar for engineering excellence, reliability, and operational maturity. Your work will enhance transparency, operational efficiency, and data-driven decision-making for institutional investors and private markets clients, helping position BlackRock as a leading technology and data provider in private markets.Key responsibilities:Architect, build, and own scalable software solutions end-to-end, translating businessobjectivesinto technical designs through implementation, deployment, and production support.Design and implement reproducible, testable data workflows that enable advanced analytics and Artificial Intelligence and Machine Learning (AI/ML) use cases, incorporating validation, monitoring, observability, experimentation, versioning, and production deployment capabilities.Lead architectural decisions and influence technical prioritisation, partnering closely with product and delivery teams to align engineering effort with business impact.Act as a technical authority within thewiderteam, elevating engineering standards and driving best practices in data management, governance, and cloud-native development.Engage senior stakeholders, clearly communicating complex technical trade-offs and recommendations in business-relevant terms.Collaborate cross-functionally with engineers, data scientists, analysts, and product leaders to deliver high-impact solutions for institutional investors and private markets clients.Lead, coach, and developsoftwareengineers, combining hands-on technical contribution with people management to foster a high performing, inclusive, and continuously improving engineering culture.What we are looking for:Demonstrated ability to design, build, andoperatescalable production-grade software systems for data processing, includingexpertisein Python, SQL, and modern data platforms.Hands-on experience with modern software engineering practicesand tooling,including version control, CI/CD, automated testing frameworks,containerisation,and AI-augmented software development workflows.Experience working in cloud environments such as Amazon Web Services (AWS) or Microsoft Azure, including infrastructure provisioning and automation using Infrastructure as Code.Strong understanding of data validation, testing strategies, code quality practices, and the ability to independently drive technical solutions from design through delivery.Experience supporting advanced analytics and AI/ML use cases, complemented by a rigorous, data-driven approach to experimentation,evaluation, and technical decision-making.Excellent collaboration, communication, and stakeholder management skills, with the ability to influence across engineering, product, data science, and business teams.A proactive, curious, and resilient mindset, with a demonstrated ability to navigate ambiguity, explorenew technologies, and continuously improve systems and ways of working.Experience leading, mentoring, and developingsoftwareengineers whilemaintaininghands-on technical credibility.Desirable skills include:Experience working with financial market data, investment analytics, or private markets datasets.Experience designing and building software and/or data platforms in financial services environmentsor other regulated environments.Experience productionising statistical or quantitative models.Experience supporting AI/ML lifecycle management, including model versioning, experiment tracking, evaluation,servingand deployment pipelines.Our benefitsTo help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.Our hybrid work modelBlackRocks hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.Guidance on AI use for candidatesAt BlackRock, AI has long been part of how we work enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, weve provided guidanceon when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.About BlackRockAt BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their childrens educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.This mission would not be possible without our smartest investment the one we make in our employees. Its why were dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.TPBN1_UKTJ

Meta's Infrastructure Security Monitoring (ISM) team is seeking an experienced engineer to help secure the infrastructure that connects over a billion users. You will be responsible for building, implementing and operationally supporting detections throughout our infrastructure. We are looking for a candidate with deep interest in and experience with security and innovation, who will research and develop new solutions to help protect our infrastructure and our users. #J-18808-Ljbffr

Cloud Platforms builds and runs the internal platform that PEI’s engineering and data teams build on: the cloud accounts, the reusable infrastructure code, the delivery pipelines, the observability, and the security and cost guardrails that wrap around them. We treat that platform as a product with internal customers – the measure of our work is whether those teams can ship quickly and safely without needing us in the room: self-service by default, guardrails rather than gates, and shared components everyone can use instead of bespoke infrastructure rebuilt per project. As a Cloud Platforms Engineer, you will help develop and build that platform. Ownership of it sits with the team rather than with individuals, so you will contribute across all of it – the components other teams consume, the estate they run on, and the path between someone writing a change and that change being live. A good share of the work sits around the Databricks data platform running on Azure. Prior Databricks experience is not expected – a genuine appetite for learning an unfamiliar platform matters far more. • Build reusable building blocks. Write and maintain Terraform modules and GitLab CI/CD (continuous integration and delivery) components that other teams consume to stand up services safely, so that the common case needs no bespoke work from us at all., • Run the cloud estate. Design, implement and operate infrastructure across multiple accounts and environments on Amazon Web Services (AWS), on Microsoft Azure, where our Databricks data platform sits, and on a smaller Google Cloud Platform footprint., • Make shipping fast and predictable. Improve how PEI’s teams get code into production: pipeline design, deployment safety, environment parity, and shortening the gap between a change being written and it being live., • Make the platform observable by default. Ship monitoring, alerting and dashboards as part of the platform rather than as an afterthought, and keep tightening the loop between something going wrong and someone useful knowing about it., • Prefer guardrails to gates. Bake security and compliance into those shared components – least‑privilege access, policy as code, automated scanning in the pipeline – so that the secure path is also the easiest path., • Own identity and access. Manage who can reach what across AWS, Azure, Databricks and GitLab – joiners and leavers, group‑based permissions, service principals and machine credentials – and keep moving that towards something automated rather than a queue of requests., • Keep production healthy. Help diagnose and resolve production issues when they arise, bring a clear view of what good incident management looks like, and fix the class of problem rather than just the instance., • Make sure we can recover. Look after backup and disaster recovery across the estate, and make sure recovery is something we have tested and proven rather than assumed., • Make spend visible. Help keep cloud cost attributable to the teams and products that drive it, and act on what that shows., • Support the teams who depend on us. Be a responsive point of contact for teams across the business – failing pipelines, blocked releases, access requests, alerts that need a human. Then treat anything that comes up twice as a candidate for automation, documentation or self‑service, rather than accepting it as a permanent part of the job., • Commercial experience building and running production workloads in a public cloud – AWS ideally, though strong Azure or Google Cloud Platform experience is fine., • Practical experience with infrastructure as code in a team setting, Terraform preferred – modules, code review, state management and applying through a pipeline, rather than clicking in a console., • Desirable: experience of cloud identity and access at organisation scale, and single sign‑on integration., • Desirable: experience with data platform infrastructure such as Databricks, or similar – prior Databricks experience is not required., • Desirable: experience with Datadog, or another mature observability platform., • Desirable: experience of high‑traffic, international, content‑heavy web platforms., • Technical Skills, • Confident with Linux and containers, and able to debug from the command line rather than only through a dashboard., • Real experience designing CI/CD pipelines rather than only inheriting them, and a considered view on what separates a good one from a bad one. We use GitLab, but the thinking matters more than the tool., • Enough networking to debug a real problem: the domain name system (DNS), transport layer security (TLS), HTTP, virtual private clouds, subnets, security groups, load balancers and content delivery networks., • Desirable: able to write code, not only configuration – Python, Node.js or similar – for tooling and automation., • Desirable: exposure to platform engineering, developer experience or internal tooling as an explicit discipline., • Desirable: experience of working with AI coding assistants and agents – we use them heavily day to day, so an appetite for it counts for as much as a long track record., • Personal Attributes, • Strong problem solving and real curiosity about how things work – you form a hypothesis and test it rather than changing things at random, and you are not satisfied by a fix you cannot explain., • A product instinct towards internal users – you ask other engineers what is painful, design for how they actually work, and check afterwards whether it genuinely improved things., • Comfortable taking responsibility for production systems, and honest and open when something goes wrong., • Someone we can genuinely talk things through with – much of the job is conversation, with colleagues, with the teams who use the platform, and with people who are not infrastructure specialists., • A genuine appetite for learning unfamiliar platforms. PEI Group is the leading global provider of business intelligence, data, analytics, and events for private markets professionals. Through meticulously sourced data, deep analytical expertise, and a trusted journalistic heritage, PEI delivers vital intelligence to sharpen the decision‑making of more than 30,000 investors, asset managers, and service providers. With over two decades of strong growth, PEI operates across ten asset classes including private equity, private credit, private real estate, and private infrastructure, through our portfolio of premium research platforms, membership networks, and global events. Our 500‑strong team operating from six offices, equips private market professionals with the relationships, opportunities, and critical market insights they need to navigate evolving markets and achieve stronger investment outcomes. At PEI we valuediverse talent and welcome applications from everyone – regardless ofbackground. We are an equalopportunity employer and our inclusive cultureat PEI is reflected in every stage of the recruitment journey. Please inform usat initial stages of the recruitment process if you require any reasonableadjustments and we can accommodate this. PEI Group supportsflexible working arrangements, and we welcome career returners. #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. The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do. • Build security for large-scale AI clusters across multiple clouds and bare-metal data centers, including IAM, network segmentation and encryption controls, • Design and implement network security controls: default-deny ingress and egress, segmentation between research, training and production environments, private connectivity across clouds and data centers, cloud firewall policy and mTLS with service identity, • Ship these controls as secure defaults using infrastructure as code and GitOps workflows, so new clusters, VPCs and data center links inherit the right boundaries, • Build visibility into network traffic and boundary drift, with detection for exfiltration paths and automated remediation where it is safe to do so, • Design secure-by-design development workflows and CI/CD pipelines across our services, with expertise in Kubernetes security, container orchestration and identity management, • Threat model and assess risk for complex multi cloud and networked environments, and join infrastructure networking, cluster and data center teams at design time so topology, routing and firewall decisions carry our security requirements from day one, • Mentor engineers and contribute to hiring and growth of the Security team, • Have 8-15+ years of software engineering experience implementing and maintaining critical systems at scale, • Strong software engineering skills in Python or at least one systems language (Go, Rust, C/C++), • Experience implementing and operating critical systems at scale using DevOps and cloud automation practices such as infrastructure as code, • Hands-on network security engineering in cloud or on-prem environments, for example VPC design, cloud firewall policy, egress control, private service connectivity or network segmentation, • Working knowledge of Kubernetes security and networking, including network policy, service identity and container hardening, • Experience with threat modeling and risk assessment for networked and multi cloud systems, • Track record of driving engineering excellence through high standards, constructive code reviews and mentorship, • Clear communicator who can translate technical concepts across organizational levels and bring clarity and ownership to ambiguous technical problems, • Low ego, high empathy engineer who attracts talent and supports diverse, inclusive teams, • Experience supporting fast-paced startup engineering teams, • Secured Kubernetes networking at scale (CNI, network policy, service mesh or mTLS rollouts) or worked in high-assurance environments where controls had to be evidenced, not just deployed, • Worked on interconnects and private connectivity between cloud providers and physical data centers, including management-plane and out-of-band network security, • Built network traffic visibility or exfiltration detection systems, • Exposure to large-scale distributed training and what it demands of a network, • Led cross-functional security initiatives and navigated complex organizational dynamics, • Managing infrastructure through automated configuration and policy enforcement, • Hardening containerized applications and enforcing security policies 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. £255,000-£325,000 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 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