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Computer Science Teacher – Southwark | Immediate Start A high-performing secondary school in Southwark is recruiting a Computer Science Teacher for an immediate start. This is an 11–19 setting where computing forms part of a broad academic curriculum from Year 7, giving the successful teacher the chance to develop pupils’ knowledge from the foundations upwards. The school was graded Outstanding by Ofsted in 2024, with the same judgement awarded for quality of education, behaviour and attitudes, and leadership and management. The post is open to teachers across the Main and Upper Pay Scales, making it suitable for an ECT or an experienced practitioner looking for an established Inner London school. Professional development is taken seriously here rather than treated as an occasional inset-day exercise. Staff, including teachers at the beginning of their careers, benefit from ongoing training and work within a close-knit, reflective professional culture. Leaders place clear emphasis on developing classroom practice while ensuring teachers have the support needed to manage workload effectively. As a Computer Science Teacher, you will therefore join a setting where subject knowledge, teaching quality and longer-term career development receive sustained attention. Key highlights: Role: Computer Science Teacher – full-time teaching position Salary: Inner London MPS1–6 / UPS1–3, £41,729–£64,684 Location: Southwark, Inner London Ofsted: Outstanding overall, including Outstanding quality of education and behaviour Contract: Full-time position Start: Immediate start Curriculum: Computer Science taught within the school’s academic curriculum from Year 7 Development: Ongoing training within an established professional development structure What you'll be doing: Teach Computer Science through carefully sequenced lessons that build secure subject knowledge Plan engaging units covering programming, computational thinking, digital concepts and relevant curriculum content Assess pupil understanding accurately and use the results to identify misconceptions and shape subsequent teaching Develop students’ confidence in approaching algorithms, coding and complex problem-solving independently Collaborate with colleagues on curriculum planning, assessment and the continued development of computing provision Contribute to the wider academic life of the school through enrichment, intervention or subject-related activities Ideal candidate for this Southwark school: Hold UK QTS and demonstrate secure knowledge of Computer Science Bring Good or Outstanding classroom practice, evidenced through observations, placements or recent teaching experience Demonstrate the ability to explain technical concepts clearly to pupils with different starting points Show strong expectations for behaviour, academic effort and the quality of pupils’ work Welcome feedback and engage thoughtfully with coaching and professional development Offer either ECT-level potential or an experienced track record of securing pupil progress Why join this Southwark school? Benefit from an Outstanding-rated school where behaviour and attitudes were also judged Outstanding Work within an 11–19 environment supporting pupils throughout secondary education and sixth form Access professional development designed to strengthen subject expertise and classroom practice Join a reflective staff culture where teachers receive ongoing training rather than relying solely on one-off development sessions Build your career in a school where leaders give serious attention to staff workload and professional growth Shape computing knowledge from Year 7 within a curriculum that includes Computer Science as part of pupils’ broader academic education How to apply: Shortlisting is underway now for this immediate-start Computer Science Teacher vacancy in Southwark. Submit your application via this listing to be considered for interview

Trainee Business Analyst Programme – No Experience Needed \n Future-proof your career in Business Analysis – starting today. \n \n Looking for a career change? Maybe you’re already working but want a more technical role with better long-term prospects. Or you could be between jobs and ready for a fresh start in tech. \n The ITOL Recruit Business Analysis Programme is designed to help you move into a high-demand coding role, even if you have no prior experience. \n Train online at your own pace and land your business analysis role in 1-3 months. \n Please note this is a training course and fees apply \n Job guaranteed - complete the programme and get a job or get your money back. \n Our candidates earn £30,000-£50,000. \n \n How do we do this? \n 1. Firstly, we place you on a training program which contains the most relevant industry recognised certification courses needed in the industry like the BCS Business Analysis Foundation Course. You can also opt to study the BCS International Diploma in Business Analysis to take your studies a step further. \n 1. Once you have passed the 4 required exams you will be handed over to our recruitment team who will provide you with a professional CV and LinkedIn review, interview support, career advice and tailored support like mock interviews. \n 1. Our consultants work with you to identify the best opportunities available suited to you. Their tailored support helps you to prepare for interviews and perform at your best. Typically, you will start in a junior business analyst, junior analyst or a support/admin role in this sector. \n Business Analysts work closely with Project Managers and Change Managers and opportunities in these areas also exist which broadens the net in these sister sectors. \n To accommodate candidates, the training element of this package is available on finance terms to easily spread the cost of investing in your career. This enables you to get qualified without having to fund all the training costs upfront. In addition, we are so confident in our success with placing qualified candidates that we will refund the cost of the courses to anyone we are unable to place within 12 months of passing their required exams subject to our terms. \n To get your journey started, enquire now and one of our experienced Course and Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step toward your new career aspirations. \n We understand this is an important and life changing decision and will provide you with all the information to make an informed decision. \n Our team looks forward to your enquiry and helping you start a new and financially rewarding career.

Strategy Consultant, Workstream Ownership, Qualitative Research, AI Prototyping \n A Strategy Consultant opportunity has opened up at a fast-growing specialist consultancy working with some of the world's most prominent technology businesses. This is a role where your thinking directly shapes how major companies invest, compete, and grow — and where the quality of your work is felt at the highest levels. Could this be the next move that genuinely changes the pace of your career? \n \n The Role \n The Strategy Consultant will take ownership of a research workstream, from scoping tasks and managing dependencies through to forming a clear point of view and building recommendations clients can act on. You will develop research materials, conduct qualitative interviews, interrogate both qualitative and quantitative evidence, and translate real complexity into well-visualised, compelling outputs. Presenting findings to clients, supporting junior colleagues, and contributing to proposals are all part of the picture as the business grows. \n \n Beyond project delivery, the Strategy Consultant will play a hands-on role in developing and testing AI-enabled tools and prototypes, checking their outputs against evidence and turning lessons from client engagements into repeatable processes the wider team can build on. \n \n The Company \n This is a chance to join an established but rapidly expanding consultancy operating at the intersection of human insight and commercial judgement. Working with global technology clients across both B2B and B2C markets, the business helps leadership teams make sharper decisions on what to build, how to price it, and how to take it to market. The team is deliberately small and high-calibre, with founders who are actively invested in mentoring and developing the people around them. \n \n What experience does the Strategy Consultant need? \n\n • At least three years in management consultancy, strategic research, or a closely related discipline, with a strong record of owning and delivering workstreams end-to-end, keeping delivery within agreed hours and deadlines, and flagging risks early enough for the team to respond.\n, • Solid qualitative and quantitative research capability, including turning a brief into discussion guides, screeners, and survey questions, conducting confident senior-level interviews, following productive lines of enquiry, and drawing evidence-based conclusions that are commercially grounded and clearly argued.\n, • The ability to produce polished, clearly structured outputs in presentation and spreadsheet tools, test patterns and contradictions in the evidence, and communicate complex thinking to varied audiences including clients — knowing when to involve a senior colleague.\n, • Practical experience building AI-assisted tools, dashboards, or workflows, with the ability to explain the problem they were designed to solve, how the results were checked, and how the process was made repeatable for colleagues. Coding ability is a welcome bonus.\n\n \n Benefits \n\n • Bonus scheme that typically delivers 20 to 30 percent of salary in a strong year, rising to 40 to 50 percent for exceptional individual performance.\n, • Employee equity participation offering the potential for annual dividends, giving you a direct share in the value you help create.\n, • Hybrid working pattern with flexibility, private medical insurance, company pension, and a dedicated learning budget covering specialist training and the latest AI tools and platforms.\n, • 23 days of annual leave plus bank holidays and your birthday off, with direct mentoring from the founders throughout your time at the business.\n\n \n So What's Next? \n If you are a Strategy Consultant and would like to learn more, please apply below and I will be in touch with you shortly to discuss the role further. \n \n Strategy Consultant \n \n Corriculo Ltd acts as an employment agency and an employment business. \n \n #CL #indhigh

Our client is a global technology company. Artificial intelligence will be one of humanity's most transformative inventions. 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. Minimum qualifications: Bachelor's degree in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience. 5 years of experience in software development, including experience with Python. Experience with the research-to-deployment pipeline in a frontier AI environment. Experience working in a software engineering or research team. Preferred qualifications: Experience with cybersecurity detection and response, building classifiers and anomaly detection systems at scale, taking safety defenses or mitigations from research concepts to scalable production systems. Experience collaborating on or leading applied ML projects, including LLM training, inference, and fine-tuning. Experience using AI coding agents with strong architectural judgement, and with TPUs and JAX. Background in adversarial machine learning, automated red-teaming, or model interpretability and probes. Knowledge of AI control, chain-of-thought monitoring, faithfulness, monitorability, and related frontier safety research. Responsibilities: Build advanced classifiers and data pipelines to detect misuse, and own the end-to-end process from automated evaluation to rapid model iteration. Build cross-context monitoring systems to detect coordinated harms, developing novel signal aggregation methods across disparate user sessions to identify large-scale attack vectors. Implement data-driven, semi-automated account-level response systems to detect, track, and apply strikes against persistent malicious actors using rich signals from production traffic. Evaluate and secure agentic AI systems by developing threat models, creating testing environments, and deploying robust mitigations against frontier-level agentic hacking and long-horizon attacks. Advance research in automated red-teaming and adversarial robustness, leveraging multi-turn/agentic attacks to systematically test for and uncover misuse vulnerabilities. TPBN1_UKTJ

About The Role We are looking for a Senior Software Engineer who will be responsible for designing, developing, and deploying high-quality software solutions. You will work on complex software projects, contributing to the architecture, development, and improvement of software systems. This role involves mentoring junior engineers, collaborating with cross-functional teams, and driving the adoption of best practices in software development. We value adaptability over specific technology expertise. While we are technology-agnostic and expect you to be too, we will fully support your development with the necessary training to master the required technologies. Our technology choices are driven by client needs, and our goal is to build highly flexible teams. Responsibilities Design, develop, and maintain complex software solutions, ensuring they are robust, secure, tested and scalable. Contribute to software architecture decisions, ensuring alignment with project and business goals. Mentor and support junior engineers, helping to develop their skills and promote best practices. Collaborate with cross-functional teams, including product management, UX/UI, DevOps, and QA, to ensure software meets business requirements. Implement and optimise CI/CD pipelines to enhance development efficiency and software quality. Conduct code reviews, providing constructive feedback to enhance team performance and code quality. Troubleshoot and resolve technical issues, ensuring software operates smoothly and efficiently. Stay current with industry trends and emerging technologies, recommending and integrating them where beneficial. Drive improvements in coding standards, testing, and documentation within the team. Engage in early-stage project discussions, providing technical insights and recommendations. Ensure that development processes are followed, and contribute to process optimisation initiatives. Communicate complex technical concepts effectively to non-technical stakeholders. About You Professional knowledge and experience Essential Proven experience in full-stack software development, including design, development, testing, and deployment. Some of the languages and frameworks our teams work with: Java Python C# / .NET Full stack JavaScript (React, Node.js etc.) We expect you to have deep experience in at least one of the above, you will also be flexible and comfortable picking up what the work requires Strong understanding of Agile and DevOps practices, with a focus on continuous integration and delivery. Comfortable working as a polyglot Experience with cloud platforms (e.g. Azure, AWS, GCP) and infrastructure as code (Terraform). Familiarity with CI/CD pipelines, automated testing, and modern software development practices. Knowledge of technologies such as microservices, containerisation (Docker, Kubernetes), or serverless architecture. Awareness of principles like well-architected and secure by design Desirable Previous experience in a senior engineering role, guiding teams to successful delivery. Proficiency in multiple programming languages Experience working on public sector projects Experience in a consulting environment Skills Software Development Expertise in writing clean, maintainable code and optimising software for performance and scalability. Ability to design and implement software that meets business and technical requirements. Ensure all key business logic is covered by tests. Code Quality and Testing Proficient in automated testing frameworks and ensuring software is reliable and bug-free. Experience conducting code reviews and maintaining high coding standards within the team. Collaboration and Communication Effective at working with cross-functional teams to deliver project objectives. Strong skills in communicating technical concepts to diverse stakeholders, ensuring understanding and alignment. Continuous Improvement Passion for learning new technologies and improving software development processes. Drive to adopt new tools and methodologies that enhance team performance and software quality Deadline for applications: Sunday 31st May 2026 at 23:59 pm. About Us People-Powered Transformation We're a purpose driven organisation, supporting organisations to build a better future for people, places and the planet. Combining vast experience in the public, private and third sectors and expertise in human-centred design, data, experience and technology, we're creating sustainable solutions ready for an ever-evolving world. At the heart of TPXimpact, we're collaborative and empathetic. We're a team of passionate people who care deeply about the work we do and the impact we have in the world. We know that change happens through people, with people and for people. That's why we believe in people-powered transformation. Working in close collaboration with our clients, we seek to understand their unique challenges, questioning assumptions and building in their teams the capabilities and confidence to continue learning, iterating and adapting. Benefits Include: 30 days holiday + bank holidays 2 volunteer days for causes that you are passionate about Maternity/paternity - 6 months Maternity Leave, 3 months Paternity Leave Life assurance Employer pension contribution of 5% Health cash plan Personal learning and development budget Employee Assistance Programme Green incentive programmes including Electric Vehicle Leasing and the Cycle to Work Scheme Financial advice Health assessments About TPXimpact - Digital Transformation We drive fundamental change in approaches to product and service development, delivery and technology. Our agile, multidisciplinary teams use technology, design and data to deliver better results, improving outcomes for individuals, organisations and communities. By working in the open, in partnership with our clients, we not only transform their systems and services but also build the capability of their teams, so work can continue without us in the longer term. Our focus is sustainable change, always delivered with positive impact. We are committed to having a positive impact on the clients and the communities we serve. We actively encourage applications from all genders, ethnicities, disabled people, members of the LGBTQIA+ community, and those from lower socio-economic backgrounds. Don't meet 100% of the criteria? We still want to hear from you. Please let us know if you require any adjustments during the recruitment process. TPBN1_UKTJ

Job-ID: 202606398Category: Actuarial Non-Life (Re) Insurance ConsultingLocation: London, London, United KingdomWorkplace: HybridSchedule: Full timePosted: 2026-10-05We are looking for an experienced reserving actuary to join WTW as a consultant in our general insurance practice within the wider UK Insurance Consulting and Technology (“ICT”) line of business. The successful applicant will help us further develop our reserving practice and contribute to adjacent areas, including capital and pricing.This role offers the opportunity to work alongside some of the market’s top thought leaders on both client engagements and intellectual property development projects, primarily across our market-leading reserving offerings. You will also have exposure to, and the chance to influence the direction of, our cutting-edge propositions. We are committed to providing training and support to help you thrive in areas that interest you, enabling you to build a rich and rewarding career in a diverse, multi-disciplinary team.The Role We are looking to grow our UK non-life reserving team through hiring high-quality insurance practitioners with the experience and skills to provide market-leading solutions to our clients. In this role, you will have the opportunity to:Lead the delivery of high-quality work in line with agreed deadlines for our broad set of clients, including Lloyd’s managing agencies, multinational (re)insurers, UK and European domestic insurers and niche market players.Conduct independent reserve reviews and engage in other reserving offerings including process transformation & automation, methodology reviews, ResQ and Machine Led Reserving (MLR) implementations, M&A due diligence, outsourced reserving functions, IFRS17 and Solvency II client engagements. Utilise your imagination and creativity, along with your technical reserving expertise, interpret data, apply your insurance market experience, draw conclusions and present model results. Lead or contribute to UK, European or global thought leadership initiatives, working to develop and deliver innovative and commercially important work streams, including advanced analytics and reserving transformation.Manage projects or substantial work streams from conception through to delivery, including client communications and junior colleague management, with appropriate support based on your experience. Contribute to business development through establishing and maintaining relationships with client contacts, contributing to proposals and/or speaking at WTW or external events.Support people and team development through line management, mentoring, recruitment and/or leading training sessions.Collaborate with teams of capital, risk, exposure management, pricing, portfolio management, underwriting, finance and claims experts as part of our broader offering to clients.QualificationsWhat you'll bring: Non-life insurance background, with extensive reserving experience. Strong knowledge of London Market or Commercial Lines classes with significant experience in a reserving or mixed role at an insurance firm or consultancy.Ability to write client deliverables/reports in a clear, concise and appropriate style.Experience presenting results, including communicating key uncertainties, to senior colleagues or clients.Ability to see the "big picture”, leveraging the resources of related practices to address clients’ business challengesProven project management, task prioritisation, delegation and time management skills.Personable, approachable and enthusiastic team player.Qualified actuary (FIA or equivalent) or experience working in this role.Availability to travel to our UK offices or client site as needed.Experience with coding languages would be desirable.Experience or interest in latest AI developments desirable What we offer:Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company.We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you.Equal Opportunity EmployerWe’re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email candidatehelpdesk@wtwco.com

Canada Life UK looks after the retirement, investment and protection needs of individuals, families and companies. We help to build better futures for our customers, our intermediaries and our employees by operating as a modern, agile and welcoming organisation. Please double check you have the right level of experience and qualifications by reading the full overview of this opportunity below. Part of our parent company Great-West Lifeco, Canada Life UK has operated in the United Kingdom since 1903. We have hundreds of respected and supported employees committed to doing the right thing for our customers and colleagues. Canada Life UK is transforming to create a more customer-focused business by providing our customers with expertise on financial and tax planning, offering home finance and annuities propositions, and providing collective fund solutions to third party customers. Job Summary Are you an engineer who measures success by the difference you make to customers, not just the code you ship? We are seeking an exceptional Engineer to play a key role in our dynamic cross-functional Digital Product Team, someone who thinks like a product person and cares deeply about customer outcomes and real-world impact. If you come from a genuine product background and are passionate about Digital products, technology, and driving meaningful outcomes, this is the role for you! CLUK have ambitious plans to modernise their IT (Information Technology) estate, looking to leverage the cloud and automation at every opportunity and change how we fundamentally deliver solutions, transitioning from a Project to Product approach. You will work at every stage of the product lifecycle, from discovery and design, through implementation and testing, to operational support, always with the customer and the outcome in mind. Job Purpose As a Engineer you will have a strong background in full lifecycle software development, combined with a genuine product mindset. You care as much about why we are building something, and the difference it makes, as you do about how it is built. Designing, building, deploying, and supporting software across front and backend stacks Working closely with product managers, designers, and real users to understand problems deeply before jumping to solutions Configuring and maintaining automated CI/CD pipelines and test automation to facilitate a seamless route to production for Azure hosted solutions Developing and supporting environments up to and including production to ensure reliability and quality Measuring the impact of what you build, and using that insight to help decide what to do next You will have a deeply customer-centric mindset: you get close to the people who use our products, validate ideas through research and experimentation, and judge success by customer and business outcomes rather than output. You are comfortable using data, analytics, and feedback loops to form hypotheses, run experiments, and make evidence-based decisions. Duties/Responsibilities Engage fully in the development lifecycle of applications and tools, contributing hands-on from coding to reviewing and releasing to production. Partner closely with product managers, designers, and stakeholders, and stay connected to real users, so that what we build genuinely solves their problems. Focus on outcomes, not just output. Help the team frame problems around customer and business value, validate ideas with experiments and feedback, and measure the impact of releases so we can learn quickly and continuously improve. Take ownership of personal learning paths, continually acquiring new skills to enhance team solutions and individual performance. Implement and refine DevOps practices, balancing responsibilities between development and operations, while actively reducing technical debt and enhancing the automation and reliability of applications. Skills, Knowledge, and Experience You come from a genuine product background: you have worked in product-led teams that own outcomes for real users, and you are motivated by the value you create rather than the volume you ship. You are genuinely customer-centric: you seek direct contact with real users, use research, usability testing, and experiments to validate ideas, and measure success through customer outcomes such as adoption, retention, satisfaction, and task success. You think in terms of impact and outcomes: you are comfortable with product metrics and analytics, forming hypotheses, running experiments (for example A/B tests), and using evidence to decide what to build next. You collaborate naturally with product managers and designers, and you are happy getting involved in discovery and in shaping what we build, not just how we build it. You have developed modern component-oriented front end applications using frameworks and libraries and have a good appreciation of UX (User eXperience). Proficiency in a variety of development technologies, languages, design patterns, and tooling. Our current tech stack is primarily Microsoft / Azure focused; solid C# is necessary. Advocate of key principles such as SOLID and CLEAN code, applying to all areas of development. Keen to write code that is self-explanatory and easy to maintain. We use GitHub Actions and Octopus Deploy for our pipelines, but an understanding of the principles behind CI/CD is more important than the specific tooling you have used. You will have worked in an environment that deploys regularly to production. You have a sound grasp of modern engineering principles and prefer working in small iterations that optimise feedback. You like to validate hypotheses via experiments. You have an awareness of security principles and best practices to ensure secure software delivery. You are committed to continuous learning, staying abreast of evolving industry technologies and trends, and are keen to share and contribute to our community. You have extensive experience working within an agile environment; waterfall projects are a red flag to you. You own change all the way to production, and the idea that a different team would test your work, or that it will not rapidly ship to production, does not sit well with you. You enjoy working with others and contributing to technical excellence as part of an active community. Benefits of working at Canada Life We believe in recognising and rewarding our people, so we offer a competitive salary and benefits package that's regularly reviewed. As a Canada Life UK colleague, you'll receive a competitive salary and comprehensive reward package including a generous pension and bonus scheme, along with, income protection, private medical insurance and life assurance. We have a fantastic number of other benefits and support services as well as regular personal and professional development. How we work at Canada Life Our culture is unique and incredibly important to us. We care about doing the right thing for our people, customers and community and helping others to build better futures. Our blueprint behaviours shape and influence how we work, and are central to the relationships we have with others. Every day we are encouraged to be more curious, own the outcome, face into things together and find a way forward. We want colleagues to have rewarding careers with us so we invest in the development of our people, technology and workplaces. That's why we offer a range of training, flexible working and opportunities to grow and develop. Diversity and inclusion Building an inclusive workplace with a diverse workforce where everyone can feel they belong and achieve their potential regardless of gender, ethnicity or any other characteristic is a key commitment for us. We are proud of the progress we're making in DEI, and we continue for it to be a significant focus. "At Canada Life we believe in the power of great people from different backgrounds, experiences and perspectives coming together to build better futures. xrnqpay Emerging talent is crucial to our growth and creating an environment that continues to inspire us all." Nick Harding, Chief People Officer, Canada Life UK We appreciate that everyone has different work and life responsibilities. We're happy to discuss flexible working arrangements, including part time, for any of our roles should this be a requirement for you.

, United KingdomJob Family Group:GeosciencesWorker Type:RegularPosting Start Date:October 19, 2026Business Unit:Experience Level: Experienced ProfessionalsJob Description: What’s the role Shell is seeking an AI Embedment Lead to join its team in London. The ideal candidate combines deep expertise in petrophysics and production engineering with the ability to bridge industry knowledge and practical AI development and implementation. This role sits within a highly skilled and dynamic team of domain, AI/ML, and analytics experts focused on identifying the most impactful opportunities and delivering measurable results at pace. The team operates across Shell’s global portfolio and is empowered to challenge conventional approaches, test new ideas, and rapidly configure, customize, and deploy solutions in live asset environments. Individuals in this team are expected to operate with a high degree of autonomy and creativity, embracing ambiguity and taking calculated risks to unlock value. Success is defined not only by technical excellence but also by the ability to push boundaries, move quickly from concept to execution, and drive tangible business outcomes. The AI Embedment Lead is responsible for identifying, adapting, implementing, and embedding AI-driven solutions within Shell’s operated upstream oil and gas assets to deliver measurable operational and financial value. This role bridges domain expertise and advanced AI capabilities, ensuring solutions are not only technically sound but also aligned with real business challenges and successfully adopted in the field. The position focuses on developing bespoke, high-impact solutions, including generative AI tools, agentic AI workflows, and advanced analytics. The successful candidate will work closely with asset teams to configure, customize, deploy, and scale solutions while identifying opportunities for repeatability and value creation across multiple assets. What you’ll be doing Together with together with our customer success team, partner with asset leadership, subsurface, wells, and operations teams to identify business problems where AI can create meaningful value Apply strong subsurface & wells domain knowledge to prioritize use cases with clear operational or economic impact Translate ambiguous business challenges into actionable digital/AI solution opportunities Act as a translator between innovation & products teams and business stakeholders Ensure AI solutions reflect the realities of subsurface & wells workflows (e.g., uncertainty, data quality, decision cycles) Provide domain-informed guidance on model design, outputs, and usability Lead the implementation of: Generative AI solutions, including custom code and workflows Agentic AI systems, ranging from task automation to semi-autonomous decision support Advanced analytics solutions, including data ingestion, pattern recognition, and predictive insights Collaborate with data scientists, engineers, and platform teams to build robust solutions Work directly within assets to ensure solutions are embedded into day-to-day workflows Drive adoption through training, change management, and iterative refinement Ensure solutions are operationally reliable, scalable, and user-centric Identify components of bespoke solutions that can be reused or scaled across other assets Contribute to building reusable frameworks, libraries, and best practices Share learnings across the organization to accelerate adoption and value capture Ensure solutions adhere to company standards for data governance, security, and responsible AI Validate outputs and ensure appropriate human oversight in decision-making contexts What you bring Bachelor's degree required; MS/PhD in Geoscience or Petroleum Engineering, Reservoir Engineering, or related discipline is preferred Extensive years of experience in the Upstream Oil & Gas industry is preferred Deep expertise in petrophysics / formation evaluation or production engineering / production technology; other subsurface and wells disciplines considered Proven experience developing, implementing, or building and deploying Agentic AI and Generative AI (GenAI) solutions Strong proficiency in Python and AI/ML solution development Hands-on building of LLM applications and agentic systems, including evaluation of their outputs Regular use of AI coding assistants and agents Experience with data analytics, statistics, and/or visualization tools such as Databricks, Plotly Dash, and Spotfire Knowledge of data pipelines, solution architecture, and deployment best practices Proven experience delivering production-ready solutions Design-thinking mindset with a track record of driving technology innovation and adoption Excellent communication, collaboration, and relationship-building skills across cross-functional teams and stakeholders What we offerYou bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You’ll have the opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another. You’ll be able to balance your priorities as you become the best version of yourself. Continuously grow the transferable skills you need to get ahead. Work at the forefront of technology, trends, and practices. Collaborate with experienced colleagues with unique expertise. Achieve your balance in a values-led culture that encourages you to be the best version of yourself. Benefit from flexible working hours, and the possibility of remote/mobile working. Perform at your best with a competitive starting salary and annual performance related salary increase – our pay and benefits packages are considered to be among the best in the world. Take advantage of paid parental leave, including for non-birthing parents. Join an organisation working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply. Grow as you progress through diverse career opportunities in national and international teams. Gain access to a wide range of training and development programmes. Shell is working to advance an inclusive, psychologically safe and accessible environment where people with disabilities can excel. If you require any accommodations or accessibility adjustments (e.g. assistive technology, communication support, any other) during the application or interview process, please let us know directly via careers@shell.com. We strive to ensure that our process and workplace is accessible to everyone and are dedicated to making reasonable adjustments to support your needs. Shell in The United KingdomShell is a vital contributor to the UK, supporting energy security, jobs and economic value. We provide energy to fuel homes, hospitals, schools, vehicles, machinery and factories. Our history here dates back over 125 years. A UK-headquartered global energy leader, and leading FTSE multinational, we are active across the country’s energy system. In the years ahead, as the UK looks to strengthen energy security and deliver its 2050 net-zero goal, Shell UK aims to play a crucial role. We aim to be a major investor in the UK energy system by helping our customers decarbonise with a focus on transport and industry.-DISCLAIMER:Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Shell/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell is an Equal Opportunity Employer.SummaryLocation: London - Shell CentreType:

Join a team where your engineering decisions matter at scale. At JPMorganChase, we build production-grade software that powers critical Global Banking businesses — and we're looking for engineers who take ownership, raise the bar, and grow fast. You'll work in a culture of strong code reviews, fast feedback, and scalable architecture, with real opportunities to deepen your technical influence and shape the future of financial technology. Join a team where your engineering decisions matter at scale. At JPMorganChase, we build production-grade software that powers critical Global Banking businesses — and we're looking for engineers who take ownership, raise the bar, and grow fast. You'll work in a culture of strong code reviews, fast feedback, and scalable architecture, with real opportunities to deepen your technical influence and shape the future of financial technology. As a Software Engineer III at JPMorganChase within the Global Banking Technology team, you will own end-to-end delivery of secure, full stack features — turning requirements into solid designs, shipping clean Java code, and improving services built on microservices, Kafka/event-driven patterns, and CI/CD pipelines. You will troubleshoot complex production issues, drive performance and resiliency improvements, and automate recurring problems to strengthen operational stability. This role offers the opportunity to grow your technical influence, explore AI and GenAI patterns responsibly, and build a long-term engineering career within a firm that invests in its people. • Lead delivery of complex features and services by shaping solution options, driving design decisions, and implementing scalable software that addresses ambiguous, multi-dimensional problems, • Own end-to-end engineering outcomes across design, build, test, release, and operate phases — ensuring security, resiliency, performance, and maintainability in production, • Set a high bar for code quality by authoring secure production code, leading code reviews, and debugging complex cross-service issues while continuously improving engineering standards and hygiene, • Drive operational excellence by identifying systemic failure patterns, implementing automation (self-healing, alerting, runbooks), and delivering sustainable fixes that measurably improve stability and resiliency, • Influence architecture and platform alignment by contributing to service boundaries, API and event contracts, data flows, and non-functional requirements across teams within enterprise constraints, • Partner on technical evaluations with internal teams, producing outcomes-oriented assessments of architecture, delivery readiness, security posture, and fit with existing platforms and information architecture, • Mentor and elevate team capability through pairing, design reviews, knowledge sharing, and contributing to communities of practice that accelerate adoption of modern engineering practices, • Promote an inclusive engineering culture by supporting a team environment grounded in diversity, opportunity, inclusion, and respect, • Produce architecture and design artifacts for complex applications while ensuring design constraints are met throughout software code development, • Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards, • Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation, • Formal training or certification on software engineering concepts and proficient applied experience, • Demonstrated ownership of system design and delivery for production services, including testing strategy, release execution, and operational support, • Strong proficiency in Java and common frameworks such as Spring Boot, Hibernate, JPA, and Spring Kafka, including performance tuning and troubleshooting patterns, • Working knowledge of microservices and Kafka/event-driven architectures, including reliability patterns such as idempotency, retries, ordering, and dead-letter queues, • Experience implementing automation and continuous delivery, including build and test automation, CI/CD pipelines, and quality gates, • Proficiency across the full software development lifecycle — requirements, design, implementation, testing, release, and support — with clear documentation and traceability, • Strong understanding of Agile delivery, application resiliency, secure engineering practices, and operational readiness, • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security, • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations, • Experience with additional languages and frameworks such as .NET (C#) and Python, • Familiarity with modern front-end technologies such as React and/or Angular, • Experience with container platforms and platform-as-a-service environments, including Kubernetes and Cloud Foundry, • Familiarity with Generative AI tools and patterns — including prompt engineering, retrieval-augmented generation, and vector search/embeddings — and safe, secure adoption practices, • Familiarity with financial services technology environments and enterprise-grade controls and standards, • Practical experience with cloud-native development, including containerization, observability, resiliency patterns, and incident response participation 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

Wipro is looking for a Full Stack Java Engineer to join our digital engineering team supporting a leading global banking client. As the Full Stack Java Engineer, you will help design, build, and enhance secure, scalable enterprise applications that support critical business services. You will work alongside talented engineers, architects, and product teams to deliver modern technology solutions within a highly regulated environment. Wipro is a global technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Recognised as a Top Employer, Wipro fosters a culture of innovation, collaboration, and inclusion while helping clients accelerate business growth through technology. You will be joining a dynamic and fast-paced organisation that values continuous learning and professional development. As a Full Stack Java Engineer, you will receive: • Competitive salary and comprehensive benefits package, • Ongoing training and career development opportunities, • Access to innovative technologies and large-scale transformation programmes, • Opportunities to work with global teams and industry-leading clients, • Inclusive and collaborative work environment As a Full Stack Java Engineer, you will: • Design, develop, test, and support secure enterprise applications, • Build microservices, RESTful APIs, event-driven solutions, and responsive user interfaces, • Champion DevSecOps practices and secure software development standards, • Implement CI/CD controls, automated testing, and quality engineering practices, • Own and deliver complex technical assignments while collaborating with cross-functional teams You will have strong expertise in: • Java and Spring Boot development, • React-based front-end engineering, • Kafka and event-driven architectures, • DevSecOps, CI/CD, and test automation practices, • TOGAF or SAFe certification Ideally, you will be familiar with: • Secure coding principles and application security controls, • Software Development Lifecycle (SDLC) and Product Development Lifecycle (PDLC) frameworks, • Microservices and distributed systems architecture, • Financial services or other regulated industry environments, • Candidates holding TOGAF or SAFe certifications may be considered in place of Karat assessments, subject to project and client requirements. Wipro is an advocate for positive change and conscious inclusion. As a global employer, we strive to create a diverse Wipro family by remaining committed to the development of our culture, diversity, equality, and inclusion in the workplace. We welcome applications from all qualified candidates and are committed to creating an environment where everyone can thrive. #J-18808-Ljbffr

AI Enterprise Innovation Lab Specialist — 6‑Month Contract | London (Hybrid) Our client, a global financial organisation, is urgently seeking an AI Enterprise Innovation Lab Specialist to join a high-impact, innovation team within the Enterprise Line of Business (LoB) AI & Automation programme. This is a build-first, fast-moving role designed for someone who thrives in autonomy, iterates quickly, and enjoys putting working prototypes into the hands of real users. You will explore frontier AI tools, test new technologies, and convert early-stage ideas into validated pilots that deliver measurable enterprise value. • A build-first environment — rapid prototypes, real users, real outcomes., • Frontier tooling — hands‑on with the latest AI platforms, including LLMs, agent frameworks and automation tools., • High autonomy — an independent two-person Innovation Lab with light-touch direction and outcome-focused delivery., • Strategic impact — shaping how AI and automation are adopted across a major global enterprise. Accelerate Enterprise is driving functional AI and Automation across the Enterprise LoB — a strategic priority for Global Payments. This role sits within the commercial business, not engineering, meaning you’ll spend time with Commercial, Operations, Credit, Compliance, Marketing and other partners to uncover high‑value opportunities. You are not restricted to defined functions — you’re free to scout, test and validate opportunities anywhere across the Enterprise LoB. Tool and tech scouting is core: you will evaluate cutting‑edge AI tools outside the Global Payments stack, test them against real use cases, and help inform future adoption. • Build agents and automations across Microsoft, AWS, Salesforce and Snowflake., • Prototype LLM use cases on AWS Bedrock or other platforms — write prompts, agent instructions and simple evaluation criteria., • Run structured pilot tests with Commercial and Operations teams., • Set up simple measurement for every pilot: baseline → pilot result → delta., • Iterate quickly on feedback and flag early when something isn’t working., • Query and prepare data for pilots; connect prototypes to downstream platforms when needed., • Produce build guides, prompt documentation and integration requirements., • Train frontline users — simple guides, short sessions., • Support the Innovation Lab Manager with benefits data collection., • Support the Lab’s 'tool & tech radar' — test external tools against real use cases., • Run side‑by‑side comparisons with the incumbent stack and document capability, cost and integration effort., • Strong awareness of where AI can solve commercial and operational challenges., • Demonstrated experience building AI-enabled solutions, prototypes, agents or automations., • Ability to rapidly prototype and iterate using modern AI platforms., • Understanding of strengths, limitations and risks of LLM-based solutions., • Curious, fast, resourceful — thrives in ambiguity., • Independent, comfortable working with light-touch direction., • Commercial awareness — able to explain value, cost, risk and outcomes to non-technical audiences., • Able to gather requirements, demo solutions and incorporate feedback quickly. Ability to translate ambiguous business challenges into practical AI opportunities. Structured problem‑solving and analytical thinking. Sound judgement balancing value, risk, complexity and speed. • Salesforce ecosystem, AI agent frameworks, AI coding tools, data platforms, and AWS., • ML fundamentals — features in, predictions out; able to support model‑adjacent pilots., • Experience training or supporting non-technical users #J-18808-Ljbffr

North America, EU, UK AI Security Researcher / Research Engineer Remote or hybrid - London preferred but North America, EU, UK accepted The internet is a sea of ads, hackers, and echo chambers. Big Tech makes huge profits off our data, and tells us what’s true and what’s not. Brave is fighting back. Join us! We are looking for a researcher/research engineer to help mitigate the security risks that come with building AI systems-especially LLM-powered web agents and chatbots. In this role, you'll design and implement secure-by-design architectures, audit our LLM-powered web agent (blog/ai-browsing/) and chatbot, and help set Brave's direction on how we identify, measure, and reduce security risk across AI products. • Design and execute adversarial evaluations to uncover failure modes in LLM-powered web agents and chatbots (e.g., prompt injection, tool abuse, data exfiltration), • Analyze model behavior (including internal thoughts) to understand and forecast security risks in frontier models, • Develop and prototype security-focused training and fine-tuning techniques, • Augment web agents with security principles including information flow control, privilege control and contextual security, • Partner with engineers and (privacy, ML, and Cryptographic) researchers to translate findings into product changes, tests, and measurable security improvements, • Help define a forward-looking security strategy and policy for building and responsibly releasing web agents—advocating for user protection, • Demonstrated experience working on Secure AI (prompt injection attacks and security guardrails), • Strong publication record in AI security, ML security, or closely related areas, • A track record of shipping products and features inside a fast-moving environment, • Strong coding skills in Python and familiarity with ML frameworks like PyTorch or JAX, • Experience training, fine-tuning, and evaluating large language models, • Deep familiarity with large language models and web agents, how they work, and how they are trained, • Experience applying security principles (e.g., information flow control, access control/least privilege), • Demonstrated success in bringing clarity and ownership to ambiguous technical problems, • A Ph.D. in computer science is highly preferred, but we may consider some exceptions with industry experience, • Knowledge of AI Systems (pipelines, security evaluation, etc.), • Open source projects on security/privacy, • Experience with confidential computing and ZKP/SMPC protocols, • Ph.D. in computer science from a top-tier school, • A strong publication record in premier systems, performance, or ML, • Work experience in industry is desirable, • Ability to work at an exciting and well-funded international startup headquartered in San Francisco, • Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions, • Competitive compensation and plenty of room for personal growth, • Great international exposure and team atmosphere We are looking to hire in London but would consider an exceptional candidate in the rest of Europe. #J-18808-Ljbffr

SD Worx is a leading payroll and HR technology company in Europe, serving millions of employees in over 27 countries. We are transforming from a traditional SaaS software organization into an AI-native technology company. This transition involves more than just adopting new tools, we aim to move away from manual coding and embrace orchestration, code review, and AI-enhanced craftsmanship. We are looking for a Tribe Lead for our Software Engineering Centre of Excellence (CoE) to drive this transformation. The CoE will establish engineering excellence by improving engineering maturity, adopting AI-native practices, setting modern standards, and fostering continuous learning and innovation. In this role, you won’t manage day-to-day project delivery. Instead, you'll serve as a strategic advisor focused on high-impact initiatives that enhance our software engineering practices across the organisation. Your goal is to define our "Operating System" for engineering, transitioning us from a service provider to a technology powerhouse through advanced AI and industry-leading standards. The future of software engineering involves orchestrating AI agents to generate, analyse, test, secure, and optimise software, allowing engineers to focus on architecture, validation, governance, and complex problem-solving. This is a strategic leadership role aimed at increasing the effectiveness and maturity of our software engineering efforts. As Tribe Lead of the CoE, you will define world-class software engineering at SD Worx. You’ll advise engineering leadership on trends, modern practices, and AI-native development to accelerate our evolution into a modern technology company. Your responsibilities include improving engineering capabilities, driving AI adoption, and embedding excellence across every engineering team. Rather than overseeing daily delivery, you will set standards, influence culture, coach leaders, and ensure our practices keep pace with technological change. • Lead the Software Engineering Centre of Excellence to improve engineering maturity at SD Worx., • AI-Native Engineering Transformation Define the collaboration between engineers and AI throughout the Software Development Lifecycle. Evolve engineers from software developers to AI-powered engineering orchestrators. Promote the adoption of AI-assisted and agentic software engineering in design, coding, testing, documentation, operations, and continuous improvement., • Orchestrate AI Transformation:- Set standards for how humans and AI collaborate in designing, reviewing, and delivering software., • Drive Engineering Excellence:- Advise teams on modern engineering practices and establish common engineering standards, quality practices, and governance to enable faster, more secure, and consistent software delivery while preserving team autonomy., • Set the Bar: Create non-negotiable standards for quality and security to ensure that autonomy does not compromise coherence, • Increase Software Engineering Maturity: Continuously enhance capabilities across SD Worx by adopting modern practices, benchmarking against leading companies, and implementing engineering maturity models for ongoing improvement. 1. Driving the AI-Native Transformation • Define and execute the strategy forAI-augmented engineering(GitHub Copilot, agentic workflows, automated remediation)., • Move the organization from "experimenting with AI" to standardizing it as a core competency, measuring the impact on velocity and code quality., • Modernize our approach tolegacy systems, using AI to accelerate refactoring and reduce technical debt., • Drive the shift from "developer-as-coder" to "developer-as-orchestrator," ensuring our teams effectively leverage agentic AI to manage complex workflows., • Define the metrics for "AI-augmented productivity," focusing on how AI accelerates the software development lifecycle (SDLC) and improves output quality. 1. Advancing Engineering Maturity • Act as the primary advisor to leadership on emerging industry standards in software engineering, ensuring SD Worx remains competitive with top-tier technology companies., • Design and deploy "Engineering Crews"—swat teams of experts who embed with tribes to solve critical bottlenecks and upskill teams on advanced technical patterns., • Cultivate a culture of continuous improvement, utilizing data-driven insights to elevate our engineering rigor and craftsmanship. 1. Governance & Technical Standards • Manage the maturity model for our internal engineering practices, providing a clear roadmap for tribes to transition high-performing, AI-augmented states., • Improve Developer Experience (DevEx) by reducing engineering friction and increasing engineering effectiveness., • Advise leadership on emerging engineering trends, technology strategy and engineering organisational design. 1. CultivatingTalent & Community • Lead theSD Worx Campusteam andPractice Guilds(Frontend, Backend, QA) to drive peer-to-peer learning and standardization., • Design career paths that reward both deep specialization (T-shaped skills) and high-leverage generalists. SuccessMetrics • Engineering Maturity Index: Measurable increase in adherence to group engineering standards and best practices using DORA metrics., • AI Adoption Velocity: Adoption rate of agentic AI workflows across tribes and the measurable impact on code quality and review cycles., • Quality & Security Velocity: Reduction in technical debt and successful integration of automated, friction-free quality gates., • DevEx Satisfaction: Improvement in developer experience scores as teams focus on high-leverage work rather than manual toil., • Experience:10+ years in software engineering, with 5+ years leading engineering transformation, or developer experience at scale (500+ engineers), Engineering Excellence or Centre of Excellence initiatives within large-scale technology organisations., • The "Change Agent" Gene:You havea track recordof shifting engineering culture. You know how to sell a vision, build coalitions, and overcome resistance., • AI Pragmatism:You are hands-on with the latest AI coding tools (Copilot, Cursor, etc.) and understand the difference between hype and genuine productivity gains., • Product Mindset:Youdon'tjust build tools; you solve problems for your internal customers.Youusedatatoprioritize., • Technical Depth:Deep understanding of cloud-native architectures, DevOps patterns, and security-by-design.Experience influencing senior engineering leadership and driving organisation-wide technical change. YoucandebatearchitecturewithPrincipalEngineers., • Passion for continuously evaluating emerging engineering practices and translating them into measurable business value., • Leadership Style:Collaborative, empathetic, and "servant-leader" oriented. You leadand coachthrough influence and value creation, not command-and-control., • You are a recognised engineering leader who influences through technical credibility, collaboration and vision., • You build engineering communities, mentor senior technical leaders and create environments where engineering teams continuously improve., • A dynamic environment: flexible working hours and working from home, • Workation: possibility to work from any SD Worx location (4 weeks per year, EU only), • Free language courses (during your working hours), • Referral program, • Learning opportunities: through an individual development plan and professional training, • Career growth: whether you want to become more of an expert in your field or expand your knowledge horizontally, there’s always room to grow within SD Worx! As this is an international role open in multiple countries, the full benefits package depends on the specific location. Salary range information will be shared with candidates during the initial interaction with the Talent Acquisition team, either by phone or email. Shape the Future:You will be the architect of ourHRtech&servicesfuture, with the budget and C-level sponsorship to make realchange. Scale:Your decisions willimpact1,400+ people and products used across 27 countries. This is a unique opportunity to shape the future of software engineering across one of Europe's largest HR technology organisations. You will define how hundreds of engineers build software, accelerate SD Worx's transformation into an AI-native technology company, and establish the engineering standards, practices and capabilities that will enable the organisation to compete with the world's leading technology companies. Innovation:We are committed to being a leader in AI adoption—you will have the resources to push the boundaries ofwhat'spossible. SD Worx values diversity and inclusion in the workplace. We welcome applications from all qualified candidates regardless of origin, nationality, gender, gender identity, sexual orientation, age, disability, religion, ethnic or social background, or stage of life. All hiring decisions are made based on skills, experience and role‑related qualifications. #J-18808-Ljbffr

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16‑17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us. With our hot coral cards and get‑paid‑early feature, combined with financial education on social media and our award‑winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products – we want to solve problems and change lives through Monzo ❤️ We have around 400 engineers across Monzo who design and build our in‑house banking platform. We have big ambitions for the future, and technology plays a big role in creating a bank our customers want, so engineers at Monzo collaborate across disciplines to solve interesting challenges throughout the company. These range from the products our customers use everyday to underlying infrastructure, security, payments and finance, customer operations, financial crime, and data, to name just a few areas. As a bank, there is scope for impact across a huge number of opportunities. We contribute to open source software as much as possible. Our blog is a good place to learn even more about what we do! This role is all about collaborating with your team to make a difference to your customers. As a backend engineer you’ll work in a squad alongside other disciplines like product managers, marketers, user researchers, designers, mobile engineers, web engineers, data analysts, business analysts, writers and more! Together you'll build and support a particular part of Monzo. Our squads belong to our wider collectives (a word we use to describe self‑governing business units of ~100 people). They are: Core Banking, Business Banking, Wealth, Borrowing, Growth, Payments, Platform, Fincrime, Security & Expansion. All of our collectives are doing innovative work, many of which have machine learning and AI at the forefront – from fighting financial crime to building smarter financial tools – and you may have the opportunity to join a collective that gives you direct exposure to this exciting space. They’re all looking for additional Backend Engineers right now, we do a standard interview process across all our collectives and at the end we will find the best match for you based on your skills, experience, preferences and aligning with the business need! Our backend engineers have a variety of different backgrounds. As long as you enjoy learning new things, we’d love to talk to you. We do not ask for formal qualifications or degree requirements for any of our engineering roles. Our main tech hub is in London, but our engineers live everywhere in the UK— from Brighton to the Western Isles. We value meeting in person but there’s no pressure to come into the office, even if you're nearby. We believe you'll do your best work if you are where you want to be. If you live outside of London and we ask you to come into the office, Monzo will support you with the costs. ✨ Our offices are naturally social, especially Tuesdays, Wednesdays and Thursdays, which happen to line up with our twice‑weekly Monzo lunches & treat Thursdays 🍽️. Teams also schedule time together often for work and play – in or around the office, or online. At Monzo, we value connections, flexibility, and wellbeing. We keep our meetings during core hours to stay connected and believe in maintaining work/life balance. You’ll be empowered to manage your work in a way that suits you and your team, giving you the freedom for children drop‑offs and pick‑ups, walking your dog or adventurous cat, avoiding peak commuting times or gym slots, appointments, or supporting your family in an emergency. 🕒✨ • you have strong experience working on the backend of a technology product, • you want to be involved in building a product that you (and the people you know) use every day, • you have a product mindset: you care about customer outcomes and you want to make data‑informed decisions, • you’re comfortable working in a team that deals with ambiguity, • you’re interested in distributed systems and writing resilient software, • you have some experience with strongly‑typed languages (Go, Java, C, Scala etc.), • you think you’d enjoy the kind of work we’re doing We're on the look out for L50 Engineers at the moment, you can read more in our Engineering Progression Framework – we will interview you across the whole framework, so if you are not sure what level you are aiming for please chat to your recruiters! Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply‑ even if you don’t have everything that’s listed just yet. Drop us your application, we’d love to hear from you! We hire very technically agnostic so whilst we use the below technologies we do not expect prior knowledge, you will be fully supported in our organised onboarding to get up to speed in the below: • Go to write our application code (there’s an excellent interactive Go tutorial here), • Cassandra for most persistent data storage, • Kafka for our asynchronous message queue, • Kubernetes and Docker to schedule and run our services, • Envoy Proxy for RPC, • AWS for most of our production infrastructure and GCP for most of our data infrastructure, • React for our public web apps and internal tools, • We also have physical data centres with actual cables to connect to various third parties Our interview process involves three main stages: • Initial Call, • Take home task or pair coding exercise, • Final interview: including a system design and a behavioural interview Our average process takes around 4 weeks but we will always work around your availability. One of our engineers has written a detailed blog on their experience through this process, for extra details, hints and tips please see here. • £95,000 - £130,000 base salary + stock options, • We can help you relocate to the UK, • We can sponsor visas., • This role can be based in our London office, but we're open to distributed working within the UK (with ad‑hoc meetings in London)., • We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team., • Learning budget of £1,000 a year for books, training courses and conferences, • And much more, see our full list of benefits here. We're usually always hiring for Backend Engineers, so there's no closing date for this job. Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊 #J-18808-Ljbffr

We’re looking for an Integrations Manager in EMEA to help scale the future of Navan’s integrations, migrations and ensure our customers realize the full value of our platform. In this role, you will become a subject matter expert in Navan’s integration ecosystem and migrations — from HRIS provisioning and SSO to reporting APIs/SFTP — and guide customers through every stage of the integration journey. You will partner directly with internal teams and customer IT stakeholders, ensuring integrations are implemented smoothly, issues are resolved quickly if migrations are needed, and usage of Navan is maximized. As an integrations SME, you will collaborate closely with Account Managers, Product, Engineering, and Sales to deliver on the integrations we have today and help shape the future of Navan integrations to be more self-service, less error-prone, and easier to manage at scale. You’ll contribute to documentation, lead trainings and office hours for Account Managers, and support sales conversations when integration expertise is required. Your ability to troubleshoot, communicate effectively, and build cross-functional relationships will make you a key driver of our customers’ success with Navan integrations. Within your team, you will give feedback that ensures the overall integration process at Navan continues to improve. • Apply your technical and troubleshooting skills to EMEA customer engagements, including new implementations, recent launches, and ongoing support for live customers., • Own setup steps, ensuring successful and timely completion of integrations., • Investigate integration issues by using logs, and explain root causes to customers and internal stakeholders in clear, easy-to-understand language., • Partner closely with Account Managers (AMs) to answer integration questions., • Collaborate with Product and Engineering teams by raising detailed Jira tickets, providing feedback on enhancements, and helping resolve escalated issues., • Write, edit, and maintain technical documentation to improve customer and internal self-service, with a focus on HRIS, SSO, reporting APIs, and Calendar integrations., • Lead and participate in internal office hours and training sessions to upskill Account Managers and expand integration knowledge across the company., • Champion the self-service vision by identifying common customer pain points, patterns, and opportunities for automation or simplified processes., • Customer-facing experience: Minimum 2 years in a role that interacts directly with customers (e.g. Customer Success Manager, Technical Account Manager, Integrations Consultant, etc.)., • SaaS experience: Minimum 2 years in an integration role within a SaaS company, with familiarity in how Sales, Product, and Engineering functions collaborate in a software organisation., • Technical knowledge: Basic understanding of APIs, SFTP, and data mapping concepts., • Career mindset: Detail-oriented, growth-focused, and eager to expand technical skills through learning and training., • Problem solving: Strong analytical and troubleshooting skills, with the ability to think in terms of technical processes and debug integration issues., • Communication: Clear and effective written and verbal communication skills, with the ability to explain technical concepts to different audiences., • Bonus: Experience supporting ERP integrations in a customer-facing role, familiarity with ERP systems (e.g. SAP, NetSuite, Oracle, Microsoft Dynamics), understanding of data ingestion processes, basic SQL knowledge, and experience with coding languages. #J-18808-Ljbffr

We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16‑17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us. With our hot coral cards and get-paid‑early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo. London or UK Remote | Senior Engineer (L50) £105,000 - £135,000 + Incentive Awards tied to your performance + Benefits | Technology - Engineering We have around 650 engineers across Monzo who design and build our in‑house banking platform. We have big ambitions for the future, and technology plays a big role in creating a bank our customers want, so engineers at Monzo collaborate across disciplines to solve interesting challenges throughout the company. These range from the products our customers use everyday to underlying infrastructure, security, payments and finance, customer operations, financial crime, and data, to name just a few areas. As a bank, there is scope for impact across a huge number of opportunities. We contribute to open source software as much as possible. Our blog is a good place to learn even more about what we do! This role is all about collaborating with your team to make a difference to your customers. As a backend engineer you’ll work in a squad alongside other disciplines like product managers, marketers, user researchers, designers, mobile engineers, web engineers, data analysts, business analysts, writers and more! Together you'll build and support a particular part of Monzo. Our squads belong to our wider collectives (a word we use to describe self‑governing business units of ~100 people). They are: Core Banking, Business Banking, Wealth, Borrowing, Growth, Payments, Platform, Fincrime, Security & Expansion. All of our collectives are doing innovative work, many of which have machine learning and AI at the forefront- from fighting financial crime to building smarter financial tools - and you may have the opportunity to join a collective that gives you direct exposure to this exciting space. They’re all looking for additional Backend Engineers right now, we do a standard interview process across all our collectives and at the end we will find the best match for you based on your skills, experience, preferences and aligning with the business need! Our backend engineers have a variety of different backgrounds. As long as you enjoy learning new things, we’d love to talk to you. We do not ask for formal qualifications or degree requirements for any of our engineering roles. Our main tech hub is in London, but our engineers live everywhere in the UK— from Brighton to the Western Isles. We value meeting in person but we don't have a mandated requirement on office attendance, even if you're nearby. We believe you'll do your best work if you are where you want to be. If you live outside of London and we ask you to come into the office, Monzo will support you with the costs. Our offices are naturally social, especially Tuesdays, Wednesdays and Thursdays, which happen to line up with our twice‑weekly Monzo lunches & treat Thursdays. Teams also schedule time together often for work and play – in or around the office, or online. Set up a work schedule that delivers impact and fits your life: At Monzo, we value connections, flexibility, and wellbeing. We keep our meetings during core hours to stay connected and believe in maintaining work/life balance. You’ll be empowered to manage your work in a way that suits you and your team, giving you the freedom for children drop‑offs and pick‑ups, walking your dog or adventurous cat, avoiding peak commuting times or gym slots, appointments, or supporting your family in an emergency. If you prefer to work part‑time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work‑life balance. Work the way that works for you with Monzo! • you have strong experience working on the backend of a technology product, • you want to be involved in building a product that you (and the people you know) use every day, • you have a product mindset: you care about customer outcomes and you want to make data‑informed decisions, • you’re comfortable working in a team that deals with ambiguity, • you’re interested in distributed systems and writing resilient software, • you have some experience with strongly‑typed languages (Go, Java, C, Scala etc.)., • you think you’d enjoy the kind of work we’re doing, • Go to write our application code (there’s an excellent interactive Go tutorial here), • Cassandra for most persistent data storage, • Kafka for our asynchronous message queue, • Kubernetes and Docker to schedule and run our services, • Envoy Proxy for RPC, • AWS for most of our production infrastructure and GCP for most of our data infrastructure, • React for our public web apps and internal tools, • We also have physical datacenters with actual cables to connect to various third parties Our interview process involves three main stages: • Initial Call, • Take home task or pair coding exercise, • Final interview: including a system design and a behavioural interview Our average process takes around 4 weeks but we will always work around your availability. One of our engineers has written a detailed blog on their experience through this process, for extra details, hints and tips please see here. • £105,000 - £135,000 + Incentive Awards tied to your performance, • We can help you relocate to the UK, • We can sponsor visas., • This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London)., • We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team., • Learning budget of £1,000 a year for books, training courses and conferences, • And much more, see our full list of benefits here, • We're usually always hiring for Backend Engineers, so there's no closing date for this job. Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage #J-18808-Ljbffr

Substrate is building a laboratory that runs itself. Something has to turn a scientist's intent into work the instruments actually execute, schedule it across the lab, and capture everything that happens as structured data. That software does not fully exist yet. It is being written now, from the first line, by a small, elite engineering team -and you would build it with them. We call this our infrastructure software layer: customer intent in, executed experiments and clean, agent-ready data out, with full provenance captured as the lab runs. Provenance is one half of the bar, with scientific quality, that makes Substrate's data worth training on. Substrate is building the critical infrastructure layer between AI and biology: an AI-native automated lab that produces biological data at scale. AI for biology has a data problem, not a compute problem. Biological foundation models can predict, but they cannot run experiments, and the high-quality, large-scale data they need does not exist. Substrate generates it, with quality and provenance built in. You will build the infrastructure software that runs the lab, working across the stack with the founding software engineer and the team. There are two products. The execution product turns a customer's intent into executed lab work: a translation layer converts an experiment into versioned, runnable workflows, an orchestration layer schedules and runs them across the lab on top of Automata's LINQ, and the output lands as structured, AI-ready data under a shared ontology. The observation product captures metadata everywhere it is generated and maps it into a knowledge graph, so every run carries full provenance. Where you land depends on you and on what the lab needs next. Any of these could be yours: Data infrastructure and ontology underpinning our data ingestion, workflows and output APIs that receive customer intent, translate it into workflows and return results - followed quickly by MCP servers, so agents can plug into our full catalogue of capability The orchestrator, and the resource model that tracks consumables and instruments as a live digital twin of the lab The capture pipeline that structures the data coming off the floor, with audit logging on every action and edit so nothing is unaccounted for The platform underneath it all: core data-serving abstractions, auth and access control, and the observability that tells us the lab's software is healthy Whatever you own, you own it end to end. You will write production code from your first weeks, help set the architecture and the engineering culture, and work at the boundary with the scientists running the assays and the intelligence team who learn from what the lab produces. FIRST 30 DAYS Get productive in the codebase and ship your first change into the execution pipeline, following the team’s review and deployment practices. Take ownership of a service or surface within the team. DAYS 30 TO 60 Ship a meaningful slice of your surface into the live, semi-automated lab, in the hands of the scientists running assays. Wire your work into the shared data model, so every run it touches is captured with full provenance. DAYS 60 TO 90 Own your surface end to end, including its reliability, observability and on-call. Help shape the architecture and the next hires as the team and the lab scale toward full automation. You are a generalist who has shipped production systems that other people depend on. You write good code at speed, you have opinions about architecture, and you have learned when to hold them and when to defer. You are happy owning a service end to end, including the parts that are not glamorous: reliability, observability, the on-call pager. You have worked across the stack and can pick up whatever the problem in front of you needs. You do not need a biology background and we will not test for one; the science is something you will learn enough of by working next to it. What we do want is curiosity about what this infrastructure makes possible, and what it means for the people who will use it. MUST HAVE Bar-raising. You strive for excellence and raise the bar wherever you land, and you hold it when it would be easier not to. Substrate goes right down to the finest details in our experimental processes and our software architecture, and you should want to. Speed. Comfortable with ambiguity, with a bias towards action, learning and iterating. You can decide on partial information and revisit when better information arrives. Big-picture thinking. There is a voice in your head asking why you are building this, who it is for, and what would make it 100x better. Detail matters, but everything routes back to the why. Range. A generalist: backend services and APIs, data pipelines, and front-end to ship a usable interface. Fluent in at least one language you build production services in, and happy to work in whatever stack the team settles on. AI-native building. You build with coding agents by default, and you have opinions and taste about what they produce rather than blind faith in the output. Engineering discipline. Rigorous CI/CD and automated testing are how you work, not something you bolt on later. End-to-end ownership. Architecture, reliability, observability, the on-call pager — including the parts that are not glamorous. NICE TO HAVE Experience at the software-to-physical-world boundary (lab automation, robotics, manufacturing, logistics, scientific instruments, or energy). Orchestration, scheduling, or workflow-engine work, and distributed systems at scale. Data-intensive systems: pipelines, ontologies or knowledge graphs, provenance or lineage. Early-stage or founding-engineer experience at a venture-backed company. Most software roles like this build a product that lives entirely on a screen. This one runs a physical laboratory. The workflows you orchestrate move real liquid, real cells and real instruments, and the data you capture is the product, not telemetry about it. When something deviates on the floor, your software is what catches it and what records why. Our office sits beside the lab, so you can spend as long as you like watching the automated benches and the transport rails run. You will also work at the same table as software, hardware and biology, and the three do not always agree. Some engineers find that mix energising; some find it distracting. It is worth knowing in advance which one you are. You will work in a hybrid pattern with regular time in the lab at 20 Triton Street, where the instruments and the people running the assays are, because the software is built close to the thing it runs. The rest of the team is distributed across several locations and works flexibly, and we keep a light shared rhythm: a Monday kickoff, a Thursday all-hands, a short daily team sync, and a quarterly offsite. We are a small team that documents in the open and backs the best idea regardless of who has it. We look after people well. In the UK that means 30 days of annual leave a year plus public holidays a pension with a 10% employer contribution top-tier private health cover with Bupa, with more added as the team grows Screening, then a behavioural and cultural-fit conversation, then a technical session or work sample with the team, including time in person at the London lab, then references. Substrate is an equal opportunity employer. We make hiring decisions on merit, scope-fit, and the strength of the working relationship we expect to build with each hire. Applications welcome from candidates of any background. #J-18808-Ljbffr

Great science regularly stalls in the clinic, not because the science is wrong, but because the company behind it lacks the capital, infrastructure, or focus to take it all the way through. Today’s clinical-stage biopharma model is broken, and as a result promising treatments never reach patients. Our mission is to fix this: we’re building the next generation of biopharma by in-licensing clinical-stage therapeutic assets and developing them through the company Health’s integrated, technology-first clinical trial infrastructure. We’re a new initiative, but we’re building on a proven foundation - the same infrastructure that has delivered 82% of the company Health’s sponsor trials on or ahead of timeline, across 40+ completed trials across the US and Europe. We’re in-licensing 5-7 clinical-stage, typically Phase-2-ready assets, funded directly from the company Health’s balance sheet. We’re targeting deal close on our first assets through 2026, with first trials launching in H1 2027. We are looking for a software engineer to help build the platform powering the next generation of clinical trials. Join our fast-moving team and help us scale the product to manage complex trials and bring new treatments to patients faster! This is an onsite role in London with a flexible (hybrid) office arrangement. After an initial onboarding period full-time at our headquarters (near London Bridge) we expect you to be in the office at least 3 days a week. • You have 3+ years experience as a professional software engineer collaborating within a team, • You are product-minded: you want to understand why we are building something to figure out the best how in collaboration with product managers, designers, non-technical colleagues and users, • You have embraced the recent advances in AI, and enjoy leveraging AI to help you in your role, • You are comfortable working across a stack that includes frontend (TypeScript/React), backend (Python/Node.js/Postgres) and infrastructure (AWS). You don’t necessarily have hands‑on experience with all pieces of our stack but are happy to pick up technology and processes that’s new to you., • You have supported systems at scale in production., • You can work independently but also collaborate well with others., • You are passionate and curious about our mission; changing how the clinical trials industry operates and how new medicines are developed., • You want to learn what life is like at a high-growth, mission-driven VC funded startup You’ll join less than a year into our new v2 product launch, in a fast-paced, high-ownership environment where you can challenge and shape our product and processes while they’re still being defined. • In your first month, • Learn about clinical trials and the problems we are trying to solve through our onboarding training and chats with people across the company, • Collaborate with the product team on starter projects and make your first commits, • Become a part of the regular product development cycle: join a squad and deliver a feature in Citrus, our trial delivery platform, • Become familiar with the core components of our stack (React, TypeScript, Python, Postgres, Terraform, Kubernetes, Github Actions, Relational databases, Claude Code), • In your first 3 months, • Develop deeper understanding of one or more areas of our stack, • Contribute actively to the team’s processes and rituals, such as retrospectives and standups, • Within your first 6 months, • Get close to users, observe the product being used in real trials and support the team in responding to feature requests and bug reports, • Take on more complex coding and design tasks, • Rotate through our support function, handling user issues and investigating and fixing bugs, • Deepen your understanding of clinical trials, and build relationships across the wider company Make an impact across all areas of our business and fix one of the world's most broken industries. • Competitive salary, plus meaningful stock options, • Flexible working: We have an incredible office near London Bridge and encourage people to work 3 days per week from the office, • 30 days annual leave in addition to Bank Holidays, resulting in 39 paid days off per year, • £60 monthly wellness allowance, which you can spend on our company health insurance scheme through AXA, a wellhub membership, or wellness activities and expenses of your choice!, • Enhanced Parental Leave: 16 weeks full pay for primary caregiver and 4 weeks full pay for secondary caregiver, • £1,000 Learning and Development allowance each year to put towards courses, certifications, and development, • Regular whole company and team events, both in person and virtually, • Access to gym and retail discounts through our benefits platform Happl, • A well-stocked pantry and drinks fridge, Monday breakfast spread and catered team lunch on a Thursday for the UK office every week!, • Cycle-to-work scheme and other salary sacrifice options available, • Charity events and fundraising opportunities through our charity partnership with the Forward Trust We believe hiring should be transparent, respectful of your time, and give you a real feel for what the company Health is like. Here's what to expect: Initial conversation with Sophie, Head of Talent (30 mins)Get to know each other, discuss the role, and answer any questions you have Take home task (60 mins) This will be a coding task, which you can complete in Python or TypeScript, that is reviewed by a member of the engineering team. Functional interview with Tim, Engineering Manager & 1 senior engineer (60 mins)Deep dive into your experience and how you'd approach key challenges Values interview with our CEO, Meri and Gemma, CPTO (30 mins)A chance to get to know each other and explore how our values align [We'll arrange at least one interview in-person at our office so you can meet more of the team and get a feel for our environment - usually the final values stage.] We will only contact you from lindushealth.com email addresses. Please check the spelling of emails which appear to come from the company carefully before responding. We will never ask for your financial information over email. We are an equal opportunity employer committed to building a diverse and inclusive workforce. We evaluate all candidates based solely on their skills, experience, and qualifications relevant to the role. We do not discriminate on the basis of race, ethnicity, religion, gender, gender identity, sexual orientation, age, disability, veteran status, or any other legally protected status #J-18808-Ljbffr

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. We are seeking a Senior Applied ML Engineer to join a fast-growing team building an agent-native search platform for AI systems, the emerging web access layer for AI. You will develop and deploy machine learning models that power retrieval, ranking, and indexing at scale, helping AI systems access fresh, reliable information in real time. This is a high-impact role working on a production system used 24x7, tackling challenges comparable to large-scale web search. • Design, train, and deploy ML models for retrieval, reranking, and search relevance in production, • Build and optimise embedding-based indexing and large-scale retrieval systems, • Develop models supporting crawling, data selection, and content understanding, • Define and improve quality metrics for agent-native search and build evaluation pipelines, • Work on systems operating at very large scale, including high-throughput query workloads, • Collaborate closely with engineering teams to integrate ML models into production services, • Analyse performance trade-offs across latency, quality, and cost, • Experiment with and apply state-of-the-art techniques in search, retrieval, and LLM-integrated systems, • Contribute to product and architectural decisions in a fast-moving environment, • 5+ years of experience in software engineering or applied machine learning, • Strong programming skills in Python, Go, or C++, • Proven experience deploying ML models in production systems, • Hands-on experience with retrieval, ranking, recommendation, or similar ML problems, • Strong understanding of machine learning and modern deep learning techniques, • Experience working with large-scale data systems and high-throughput environments, • Ability to design evaluation frameworks and define meaningful model metrics, • Product-oriented mindset with a focus on impact and iteration, • Strong problem-solving skills and ability to work in a distributed team, • Experience with search systems or large-scale information retrieval, • Familiarity with embeddings, transformers, and modern NLP systems, • Experience working on LLM-powered or agent-based systems, • Contributions to open-source projects, technical publications, or conference talks, • Participation in competitive ML (e.g. Kaggle) or similar signals of strong technical ability We conduct coding interviews as part of the process. • Competitive compensation, • Career growth and learning opportunities, • Flexibility and ownership, • Collaborative and innovative culture, • Opportunity to work on impactful AI projects, • International environment and talented teams Fast moving- Bold thinking- Constant growth- Meaningful impact- Trust and real ownership- Opportunity to shape the future of AI Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know. #J-18808-Ljbffr

At Trainline, our purpose is to empower greener travel choices, connecting people and places. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels. We’re Europe’s leading independent rail platform, helping millions of travellers find and book the best-value rail and coach journeys across our app, website and partner channels. Our job is to make the green travel choice the best choice. By building a better train travel experience, we help more people choose rail - creating a positive impact for customers, our business and the planet. We’re a team of more than 1,000 Trainliners from over 50 nationalities, working across London, Paris, Barcelona, Milan, Edinburgh and Madrid. Now is a brilliant time to join us and help shape the future of travel. Our Security team is dedicated to designing, implementing and monitoring the controls that keep Trainline resilient in a fast-evolving threat landscape. As part of our ongoing mission to mature Trainline's security capabilities, you'll help protect the digital channels that power billions of pounds in annual ticket sales, keeping our systems secure, resilient and ready for what's next. As a Senior Product Security Engineer, you'll take ownership of product security across the development lifecycle, working closely with teams such as SRE and Platform Engineering to embed the latest tools and best practices into everything we build. You'll act as a trusted bridge between security, engineering and the wider business, helping to shape a culture where secure by design is second nature. • Define and own the product security roadmap, aligning priorities with business goals and influencing engineering leadership to embed security into how we design, build and deploy products, • Establish and own the application security vulnerability management process, from triage and prioritisation through to remediation tracking, setting and reporting metrics such as mean time to remediate (MTTR) by severity and security testing coverage to give leadership clear visibility of risk, • Work with teams across the business to carry out threat modelling for our web, mobile and API services, identifying risks and putting effective countermeasures in place, • Assess the security posture of our applications and APIs through code reviews and static and dynamic security testing (SAST/DAST), and manage third-party penetration tests, from scoping with engineering teams and architects through to tracking remediation, • Strengthen the security of our iOS and Android apps and the APIs that power them, covering areas such as authentication and authorisation, secure data storage, API gateway controls and protection against abuse and automated attacks, • Implement, maintain and automate the security tools that support safe development and operations, from vulnerability scanning through to application security posture management (ASPM), and partner with engineering teams to fix vulnerabilities in ways that prevent them recurring, • Build secure coding and deployment knowledge across the organisation through training and mentoring, including helping to establish and grow a security champions programme within our engineering teams, • Ensure our product security practices align with relevant frameworks and standards, such as OWASP, NIST, ISO 27001, GDPR and PCI DSS, supporting compliance and audit efforts while monitoring emerging threats and finding ways to strengthen our resilience, • Significant experience identifying, assessing and mitigating security risks across application design, code and deployed products, including setting up and running application security vulnerability management processes and reporting, • Experience shaping and delivering a product or application security roadmap, with the confidence to influence engineering leaders and use metrics to demonstrate progress and risk reduction, • Experience securing mobile applications and APIs, including testing iOS and Android apps and applying secure approaches to authentication and authorisation, such as OAuth 2.0 and OpenID Connect, • Hands‑on experience with security testing tools such as SAST, DAST and vulnerability scanning solutions, ideally including mobile app security testing and API security testing tools, • Practical experience with threat modelling and security reviews, as well as scoping and managing third‑party penetration tests in partnership with engineering teams and architects, • A strong grasp of secure coding practices and experience embedding security into software development workflows, including implementing technical controls and driving automation within CI/CD pipelines, ideally across cloud-native, containerised and infrastructure as code (IaC) environments, • Familiarity with industry standards and frameworks such as OWASP (ideally including the Mobile Application Security Verification Standard and API Security Top 10), PCI DSS, ISO 27001 and GDPR, • It would also be helpful if you have experience setting up or growing a security champions programme, running risk assessments, or a working knowledge of regulatory compliance standards Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family-friendly benefits. • private healthcare & dental insurance, • a generous work from abroad policy, • 2-for-1 share purchase plans, • an EV Scheme to further reduce carbon emissions, • extra festive time off, • excellent family-friendly benefits We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! We're operating a hybrid model and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period. We also have a 28-day Work from Abroad policy. Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do: • Think Big - We're building the future of rail, • Own It - We focus on every customer, partner and journey, • Travel Together - We're one team, • Do Good - We make a positive impact We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated. Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor! #J-18808-Ljbffr

Join us as we transform digital banking and redefine what’s possible for our customers. You’ll have the opportunity to shape the future of financial services, working with cutting-edge technology and a diverse, collaborative team. At JPMorganChase, your curiosity and passion for technology will help us deliver secure, intelligent banking solutions. We value your ideas and empower you to make a real impact. Discover career growth and mobility while building the bank of the future. As a Lead Software Engineer at JPMorgan Chase within the International Consumer Bank MLOps team, you will design, build, and deploy scalable AI/ML solutions that promote innovation and deliver outstanding banking experiences. You will collaborate with data scientists, product managers, and engineering teams to translate business initiatives into robust, customer-focused systems. Your work will enable us to leverage foundational AI and machine learning models to enhance our services. You will be part of a diverse, inclusive, and geographically distributed team, focused on delivering secure and intelligent banking. • Deliver end-to-end cloud-native microservices and data pipelines using modern technologies and best practices, • Structure software for clarity, testability, and ease of evolution, • Build scalable solutions that avoid single points of failure, • Develop secure code to protect customers and the organization, • Investigate and resolve issues promptly to prevent recurrence, • Ensure zero-downtime releases for end-users, • Monitor model and system performance, identifying and solving problems effectively, • Build reliable, easy-to-operate systems, • Continuously update and upgrade technologies and patterns, • Maintain and improve deployed AI/ML models and microservices throughout the software development lifecycle, including production and incident management, • Ensure compliance and security in AI/ML solution deployment and operation, • Formal training or certification on software engineering concepts and proficient advanced experience., • Recent hands-on experience as a back-end software engineer, especially with customer-facing, LLM-powered microservices, • Proficiency in Java and Python programming languages, • Experience designing and implementing effective tests (unit, component, integration, end-to-end, performance), • Excellent written and verbal communication skills in English, • Familiarity with advanced AI/ML concepts and protocols, such as Retrieval-Augmented Generation, agentic system architectures, and Model Context Protocol, • Strong interest in building generative AI applications and tooling, • Experience with cloud technologies, distributed systems, RESTful APIs, and web technologies, • Understanding of event-based architecture, data streaming, and messaging frameworks, • Proficiency in operating, supporting, and securing mission-critical software applications, • Understanding of various data stores (relational, non-relational, vector), • Ability to mentor team members on coding practices, design principles, and implementation patterns, • Ability to manage stakeholders and prioritize deliverables across multiple work streams, • Background in STEM with exposure to productionising machine learning systems, • Experience with MLOps tools and platforms (e.g., MLflow, Amazon SageMaker, Databricks, BentoML, Arize), • Proficiency in cloud-native microservices architecture, • Hands-on experience with Amazon Web Services (AWS), • Previous experience as a Platform engineer, • Experience working in highly regulated environments or industries #ICBCareers #ICBEngineering #J-18808-Ljbffr

Solirius Reply, part of the Reply Group, is a technology consultancy and digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and delivery. We work closely with our clients to deliver secure, accessible, user-focused services that evolve with their needs. By combining deep technical expertise with people-centred design, we create solutions that deliver meaningful, lasting impact. Our consultants partner directly with client teams, embedding into organisations to understand their goals, challenges, and users. This collaborative approach enables us to deliver tailored solutions that drive measurable outcomes across public and private sectors. Past and present clients include the Ministry of Justice, Department for Education, Ministry of Housing, Communities and Local Government, UEFA, International Olympic Committee, and Mercedes-Benz. Our services span the full digital delivery lifecycle, including architecture, engineering, delivery management, user-centred design, business analysis, data, DevOps, and AI. We operate as a collaborative and inclusive organisation that empowers our people to take ownership, innovate, and develop their expertise. As an equal opportunities employer, we are committed to encouraging equality, diversity, and social mobility, while creating opportunities for our teams to work on meaningful projects that deliver lasting impact. You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you’re comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. We are looking for an experienced Senior Data Engineer to join our team here at Solirius.You will be working as part of a team, developing and delivering exciting projects with afantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines andsystems that enable data analysis and machine learning. You will also collaborate with datascientists, analysts, and other stakeholders to ensure data quality and reliability. • Develop Data Engineering solutions for our clients/projects, • Design and build data models, schemas to support business requirements, • Develop and maintain data ingestion and processing systems using various tools andtechnologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc., • Implement data storage solutions using different types of databases, such asrelational, non-relational, or cloud-based., • Working collaboratively with the client and cross-functional teams to identify andaddress data-related issues and opportunities., • Stay updated with the latest trends and developments in the data engineering field,such as modern data stack, big data technologies, cloud computing, etc, • Assist with defining the processes needed to achieve operational excellence, • Ensure data quality across all projects/clients, • Define and manage SLA’s for data sets and processes throughout production, • Lead on the design, build and launch of new data models and pipelines, • Experience in operating as part of data engineering teams and independently., • Line/Team management experience, leadership experience, • Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial), • SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL), • You have framework experience within either Flask, Tornado or Django, Docker, • Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo, • Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc., • Data acquisition and development of data sets and improving data quality, • Preparing data for predictive and prescriptive modelling, • Hands on coding experience, such as Python, • Reporting tools (e.g. Tableau, PowerBI, Qlik), • GDPR and Government Service Standard (desirable), • Passionate, motivated and enthusiastic about developing technology solutions., • Experience working in an Agile development environment, • Data architecture experience., • Competitive Salary, • Bonus Scheme, • Private Healthcare Insurance, • 25 Days Annual Leave + Bank Holidays, • Up to 10 days allocated for development training per year, • Enhanced Parental Leave, • Paid Fertility Leave (5 Days), • Statutory & Contributory Pension, • EAP with Help@Hand, • Gym Membership Benefits, • Cycle to Work and Electric Vehicle schemes, • Flexible Working, • Annual Away Days/Company Socials As an equal opportunities employer, we are committed to creating a work environment that supports, celebrates, encourages and respects all individuals, where all processes are based on merit, competence and business needs. Encouraging high social mobility is really important to us. We foster an inclusive culture by welcoming different perspectives, enabling equitable opportunities and promoting open dialogue. This commitment is reflected in initiatives such as our gender diversity group and our focus on mental health and wellbeing. Whatever stage you are at, you will find an environment where you can thrive. Should you require further assistance or require any reasonable adjustments to be put in place to better support your application process, please do not hesitate to raise this with us. As a Disability Confident employer, we are committed to ensuring our recruitment process is accessible and inclusive, enabling all candidates to demonstrate their skills, experience and potential. #J-18808-Ljbffr

Forward Deployed EngineerApplyremote type: Office - Flexiblelocations: United Kingdom - Londontime type: Full timeposted on: Posted Todayjob requisition id: JR346373To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceSalesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.As a Forward Deployed Engineer, you'll be at the forefront of bringing cutting-edge AI solutions to our most strategic clients. This isn't just about coding; it's about deeply understanding our customers' most complex problems, architecting sophisticated solutions, and leading the end-to-end technical delivery of innovative, impactful solutions that leverage our Agentforce platform and beyond. You'll be a hands-on leader, shaping technical strategy and ensuring successful outcomes.# Your Impact* Drive Tangible Outcomes through Hands-On Implementation: Be responsible for the end-to-end technical delivery of complex AI solutions, personally writing critical code, configuring systems, and troubleshooting issues, while also guiding and reviewing the work of junior team members to ensure successful deployment and measurable business impact.* Build Transformative AI Solutions: Take primary ownership of designing, developing, and personally implementing high-quality, scalable production systems. A significant part of this will involve architecting and deploying complex AI and Large Language Model (LLM) based intelligent agents and automated workflows, all built on top of the Salesforce platform.* Engineer Bespoke Agentic AI Solutions: Work directly with customers to design and build custom intelligent agents using the Agentforce platform, ensuring they precisely meet unique business requirements and integrate seamlessly with existing customer ecosystems.* Data Configuration & Integration : Own the entire data lifecycle, from strategic design of data models to hands-on building of efficient processing pipelines and establishing seamless integration strategies. You'll ensure data is always ready, optimized, and secure for our advanced AI applications, often navigating complex enterprise data environments.* Proactively Remove Technical Blockers: Identify, analyze, and directly resolve the most complex technical challenges during all phases of solution delivery, from intricate data integration to sophisticated model deployment and advanced agent orchestration. You'll be the ultimate go-to expert for unblocking progress.* Drive Agentforce Innovation: Become a foremost expert in our innovative Agentforce platform, pushing its capabilities to the limit. You'll lead the development of bespoke intelligent agents, automate intricate business processes, and craft intuitive user experiences. Your insights from the field will directly influence future product enhancements and help shape the strategic direction of our platform, often representing the voice of the customer in product discussions.* Become a Trusted Strategic Partner: Embed yourself deeply with client teams to truly grasp their operational challenges and strategic goals. You'll translate these nuanced needs into clear, actionable technical requirements and solution designs, building strong relationships as their primary technical advisor and leading technical discussions.* Conduct Deep-Dive Technical Debugging and Root Cause Analysis: Perform detailed analysis, debugging, and root cause identification for complex system interactions, data flows, and AI model behaviors to optimize performance, ensure reliability, and prevent recurrence of issues.* Lead Rapid Prototyping and Iteration: Quickly develop proofs-of-concept and minimum viable products, often coding alongside client teams to demonstrate capabilities and gather feedback for iterative refinement, setting the pace for rapid delivery.* Implement and Enforce Best Practices: Directly apply and evangelize engineering best practices for code quality, scalability, security, and maintainability across all deployed solutions, serving as a technical role model.# Required Qualifications 5+ years of experience in a hands-on, end-to-end delivery role for high-quality, scalable production solutions in a professional environment Strong background in Computer Science or a related engineering discipline Expert-level proficiency in one or more programming languages (e.g., JavaScript, Java, Python, Apex) Extensive hands-on experience building and deploying solutions with AI/LLM technologies, including integrating LLMs, applying advanced AI orchestration frameworks (e.g., LangChain, LlamaIndex), prompt engineering techniques, and experience with agentic frameworks Deep expertise in data modeling, processing, integration, and analytics, with demonstrable proficiency in enterprise data platforms (e.g., Salesforce Data Cloud, Snowflake, Databricks, BigQuery) Significant direct experience with the Salesforce platform, including advanced configuration, customization, and complex development Demonstrated entrepreneurship, a "get-things-done" attitude, and a focus on fast, impactful delivery, with a proven ability to lead technical initiatives Exceptional collaboration, communication, and presentation skills, both written and verbal, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders Proven ability to lead technical engagements, mentor junior team members, and oversee technical aspects of projects # Ability to travel up to 60% of the time, as needed to customer sites# Preferred Qualifications Extensive experience with Salesforce Data Cloud and/or Agentforce platform Experience developing and deploying conversational AI solutions within highly regulated industries Expert-level experience with Apex and/or Python coding languages in a professional setting Prior experience in a customer-facing, hands-on technical lead or architect role Advanced Salesforce platform certifications (e.g., Platform Developer II, Application Architect, System Architect) Deep knowledge across Salesforce CRM (Service, Sales, and Marketing Clouds) Extensive experience with Salesforce Flows and Lightning Web Components (LWC), including complex custom development Experience contributing to open-source AI frameworks or librariesLI*YUnleash Your PotentialWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.AccommodationsIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. #J-18808-Ljbffr

London, Greater London, England, United Kingdom · Forward Deployed Engineering C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise.Learn more at: C3 AI C3 AI is seekingForward Deployed Engineers. As a Forward Deployed Engineer, you will be engineering full-stack AI-driven web applications on the C3 AI Platform, working directly with customers to design, develop, and deploy production applications, demos, and proofs-of-technology. An ideal candidate possesses strategic and analytical aptitude, software development expertise, and excellent interpersonal skills. • Develop and deploy applications.Engineer full-stack, AI-based enterprise applications on the C3 AI Platform., • Mentor junior team members.Share coding standards and design techniques with less experienced engineers., • Conduct design and code reviews.Review customer software applications for quality, architecture, and best practices., • Test and enhance customer applications.Troubleshoot, test, and improve customer software applications directly and on behalf of customers., • Deliver technical enablement.Lead technical deep-dives, product demonstrations, and customer training sessions., • Write documentation.Produce application specifications, technical documentation, and supporting artifacts., • Identify and mitigate risk.Continuously surface technical risks and gaps; devise mitigation strategies in anticipation of customer needs., • Drive product improvement.Work closely with product management and engineering to improve the overall quality of C3 AI software., • Bachelor’s degree in Science, Technology, Engineering, or Mathematics (STEM), or a comparable area of study., • 2+ years of professional software development experience with object-oriented programming languages., • Strong verbal and written communication skills; ability to work effectively on a cross-functional team., • Analytical and problem-solving abilities., • Organizational skills and attention to detail., • Ability to travel as needed., • Graduate degree in Science, Technology, Engineering, or Mathematics (STEM), or a comparable area of study., • Experience working in a customer-facing role., • Experience with Git or other version control software. C3 AI provides excellent benefits, a competitive compensation package and generous equity plan. C3 AI is proud to be an Equal Opportunity and Aff We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status. #J-18808-Ljbffr

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalised than ever before. Learn more at geniussports.com We're looking for a Software Engineer II to join our team and contribute to building reliable, scalable, and user-focused software. In this role, you'll work independently on well-defined features, collaborate with cross-functional partners, and help improve the quality and maintainability of our systems. You'll play an active role in delivering value to users while continuing to grow your technical and collaborative skills. • Design, build, test, and maintain small to medium-sized systems or features with a focus on quality, reliability and user impact, • Work with product managers, designers and engineers to understand requirements and turn them into practical technical solutions, • Communicate clearly about progress, assumptions, blockers and technical trade-offs, • Contribute to technical design discussions and reviews, • Write clear, maintainable and well-tested code that follows team standards, • Work within established architecture patterns while identifying sensible improvements to existing systems, • Debug and resolve issues across the stack, investigating root causes and seeking support when needed, • Participate in code reviews, providing constructive feedback and incorporating feedback into your own work, • Identify opportunities to improve code quality, performance, and team development practices, • Use modern development tools, including AI-assisted tools, while remaining accountable for reviewing and validating the result, • Experience developing software and maintaining software in a professional or comparable environment, • Proficiency in at least one programming language and familiarity with modern development frameworks and tools, • Understanding of software development fundamentals (e.g., data structures, APIs, testing, version control), • Ability to work independently on defined tasks while seeking input when needed, • Comfortable collaborating with cross-functional teammates and incorporating feedback, • Problem-solving skills and a willingness to learn and iterate, • Experience contributing to technical designs and documenting technical decisions, • Experience with distributed systems, event-driven architectures and workflow orchestration, • Experience using AI-assisted tools to improve coding, debugging, documentation and testing workflows, • Practical experience in debugging production issues and improving system performance, • Exposure to working in agile or iterative development environments, • Experience writing automated tests and working with CI/CD pipelines, • Interest in sharing knowledge and supporting teammates, • Experience with technologies used in our current stack (Rust, Kotlin, Spring Boot, TypeScript, NextJS, PostgreSQL, Pulsar, Temporal and Kubernetes) Our benefits include health insurance, skills training and much more, depending on the location. We also offer a host of softer benefits, including many social events throughout the year such as summer and winter holiday parties, monthly team building events, sports tournaments, charity days and wellbeing activities. For more details on the compensation and benefits package, please get in touch with our Talent team. We enjoy an 'office-first' culture and maximize opportunities to collaborate, connect and learn together. This role is based in London and is required to work from our office 3-4 days per week minimum. As well as a competitive salary and range of benefits, we're committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Diversity | Genius Let us know when you apply if you need any assistance during the recruiting process due to a disability. #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 . #J-18808-Ljbffr

Meta's Privacy Engineering team is seeking a Security Engineer with experience in applying an adversarial mindset to identify, scope, contain, and eradicate real-world privacy threats to products and infrastructure. Your primary responsibilities will be to deal with privacy vulnerabilities by designing or guiding Software Engineers through remediations, learning from security/privacy incidents, identifying vulnerabilities in our codebase, and building agentic systems at scale to assist and perform these operations. Your skills will be the foundation of security initiatives that protect the security and privacy of billions of people. You will advance Meta's mission of making the world more open and connected by identifying and neutralizing threats that aim to collect sensitive information or disrupt our systems. • Lead technical triage and investigation of complex privacy incidents - reviewing code, system architecture, logs, and other evidence to guide engineers through mitigation and remediation, • Design and build scalable agentic AI systems that can autonomously handle all aspects of incident response, discover and verify security/privacy vulnerabilities in product and infrastructure, and guide coding agents to write secure-by-default code, • Partner with engineering and product teams to improve designs, prioritize durable remediation, and shift privacy protections earlier in the development lifecycle, • Lead medium-to-large technical projects from ambiguous problem definition through implementation, adoption, measurement, and long-term ownership, • 5+ years of work experience in technical privacy, security, or security software engineering domains, including incident response, application privacy/security, and/or offensive security, • Experience identifying, analyzing, and remediating real-world privacy/security threats, • Software engineering proficiency equivalent to 1+ years of work experience in coding in Python, PHP, Java, C/C++, (or an equivalent language), including code maintenance and review, • Experience with using AI coding tools and agents in helping to investigate or discover security/privacy issues, • Experience mentoring engineers and creating documentation, training, tools, or processes that scale the people around you, • Experience improving the precision, coverage, reliability, or operational health of security or privacy systems, • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies, • Experience designing safeguards or frameworks that eliminate recurring classes of privacy or security issues, • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews), • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements), • Experience participating in or leading an incident-management oncall rotation, • Experience building AI agents or agent pipelines for code analysis, investigation, detection, verification, or remediation, • Experience with static or dynamic analysis, large-scale code search, data pipelines, or automated detection systems Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. #J-18808-Ljbffr

Product development used to mean manually writing code, running analysis, diagnosing bugs, and rolling out changes using dozens of tools. PostHog is the only platform that acts like a co-pilot for you (and your AI agents) to do it all – autonomously. PostHog Code, the only AI devtool that understands your product, not just your codebase. PostHog AI, an AI-powered analyst that answers product questions, helps users find useful session recordings, and writes custom SQL queries. PostHog is working on a self-driving product and is training its own Deep ML models. This new AI Research team needs an AI Research Engineer who can work with our large data set, develop models, and ship production‑ready solutions. You will be part of a team that researches emerging techniques and brings them into production. Your focus areas include: • Session replay analysis – improving detection of issues in replays with scalable, efficient models., • User behavior prediction – identifying drop‑offs, suggesting improvements, and boosting conversion rates automatically., • Synthetic user testing – simulating users to catch confusing flows or breakages before release., • PhD is a plus; a strong background in mathematics is required., • Alternatively, experience training models with strong math skills., • Strong coding ability in Rust (preferred), CUDA, or C., • Solid understanding of transformer architectures., • A product mindset; you’ll build production‑ready products., • Hybrid Remote with the London Office., • Pure theoretical expertise – this is not a Jupyter notebook job., • Someone who only wants to research and publish; shipping has priority. If you have a disability, please let us know if there's any way we can make the interview process better for you. We have a transparent compensation system. • Benchmark (United States - San Francisco, California) $285,000, • Step modifier 0.95 - 1.04, • Generous, transparent compensation & equity, • Unlimited vacation (with a minimum), • Two meeting‑free days per week, • Home office, • Coworking credit, • Private health, dental, and vision insurance., • Access to our Hedge House, • Carbon offsetting, • Pension & 401k contributions, • We hire and pay locally, • Company offsites #J-18808-Ljbffr

You’ll own the GPU compute that powers our model training, evaluation and serving systems. This role sits in our Infrastructure team, which works at the lowest layers of our stack, from Kubernetes down to the GPU hardware. You’ll run the clusters, GPUs and schedulers that our research, product and platform teams depend on, and manage the capacity we buy from our cloud providers. Success is measured by how well we use our GPUs: keeping production reliable and improving the performance of our training and serving stack. • Running Kubernetes clusters for GPU training and inference, • Improving how GPU work is scheduled and placed, • Detecting, draining and repairing unhealthy GPU nodes, • Managing capacity with our cloud providers, • Debugging failures in GPUs, Linux, storage and networking By month 3, you’ll be handling a share of cluster incidents on your own and will have shipped one change to scheduling or node health, such as automatically detecting and draining unhealthy GPU nodes. By month 6, you’ll own one part of the compute layer outright: scheduling and placement, node health and repair, or capacity and new regions. By month 12, you’ll be responsible for a globally distributed GPU system that shifts capacity between training and inference as needs change. Your hiring manager is our VP of Engineering. Day to day, you’ll work with the Platform Infrastructure team, the research and product teams who use our compute, and our cloud providers and other vendors. You’re likely a good fit if you: • Have built and run GPU workloads on Kubernetes, • Could design a GPU cluster for training and online RL from scratch, • Debug confidently at the OS layer and below (Linux, GPU drivers, networking and storage), • Write strong Python It’s a plus if you’ve worked as an SRE or infrastructure engineer, or have used: • Slurm, • Kubernetes scheduling and autoscaling tools such as Kueue or Karpenter, • Multi-cloud orchestration tools such as SkyPilot, • AWS services such as EKS or SageMaker HyperPod, • High-performance interconnects and collective communication libraries such as EFA, InfiniBand, NCCL or Open MPI, • Terraform You don’t need ML research experience. If you match most of this but not every point, please apply. Four stages, about three hours in total: a 30-minute call with our Talent team, a 60-minute coding interview, a 60-minute system design interview and a closing 30-minute conversation with our VP of Engineering. The coding and system design interviews are modelled on real-world problems you’d face in this role. • The role is hybrid, with three days a week in our Paris or London office and occasional travel between the two., • We offer a competitive package. #J-18808-Ljbffr

At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact. As a Lead Software Engineer at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on specific products and projects, providing opportunities to engage in areas such as fraud & financial crime prevention, identity services, money transfers, card payments, lending, customer onboarding, core banking, insurance products, rewards campaigns, and servicing innovations. • Deliver end-to-end solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices, • Use domain modelling techniques to allow us to build best in class business products., • Structure software so that it is easy to understand, test and evolve., • Build solutions that avoid single points of failure, using scalable architectural patterns., • Develop secure code so that our customers and ourselves are protected from malicious actors., • Promptly investigate and fix issues and ensure they do not resurface in the future., • Make sure our releases happen with zero downtime for our end-users., • See that our data is written and read in a way that's optimized for our needs., • Keep an eye on performance, making sure we use the right approach to identify and solve problems., • Ensure our systems are reliable and easy to operate., • Keep us up to date by continuously updating our technologies and patterns., • Support the products you've built through their entire lifecycle, including in production and during incident management, • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team., • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation., • Formal training or certification on software engineering concepts and applied experience, • Recent hands-on professional experience as a back-end software engineer, • Experience in coding in a recent version of the Java programming language, • Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.), • Excellent written and verbal communicationskills in English, • Experience with cloud technologies and distributed systems, RESTful APIs and web technologies., • Knowledge of messaging frameworks., • Seasoned with operating, supporting and the security of mission critical software applications., • Understanding with different kinds of data stores (including relational data stores), • Coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions., • Manage stakeholders and effectively prioritize work across multiple work streams., • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security., • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices, • Experience in working in a highly regulated environment / industry, • Seasoned with cloud-native microservices architecture, • Proficient with AWS cloud technologies #ICBEngineering #ICBCareers #J-18808-Ljbffr

Salary: £62,000 - 102,000 per year • Experience writing programs in more than one language., • 8 years of experience in end user and system administrator consulting or providing other first-level consulting., • Bachelors degree in a quantitative field such as Computer Science, Information Technology, or related field, or equivalent qualification., • Fluent in English., • Proof of right to work in the UK or Ireland., • Technical experience in at least 4 of the following: SAS Administration or support; AWS and/or Azure; Kubernetes; systems support, user support, customer support, consulting, or training for enterprise-class software and/or hardware; UNIX or Linux supporting enterprise-class applications; managing customers and their expectations; managing large commercial IT cloud systems., • Equivalent combination of related education, training, and experience may be considered., • Building Customer Loyalty., • Creating a Service Reputation., • Work Standards., • SAS Coding., • CI/CD., • Lead hosted and remotely managed customer projects from kickoff through UAT and go-live, ensuring smooth execution and technical oversight throughout the lifecycle., • Provide expert consultation for major post-deployment changes such as upgrades and migrations, and help resolve complex, recurring issues to maintain system health., • Define and validate technical requirements to avoid project delays, enhance system stability and monitoring, and ensure adherence to SAS Cloud standards and best practices., • Act as a SAS Administrator for high-complexity or urgent tasks, configure and debug mid-tier software, manage container-based applications, and develop tools for SAS and third-party software., • Apply IT Service Management best practices for change, incident, and problem management, while creating and maintaining service documentation including runbooks, knowledge base articles, and wiki content., • Work directly with clients and coordinate with support teams and vendors to ensure customer satisfaction., • Share knowledge across the team, sharing expertise on customer engagements and key technologies to foster continuous improvement and team growth., • Manage workload and diary commitments to support planned technical activities, major customer events, and occasional out-of-hours operational requirements., • Ensure all applicable security policies and processes are followed to support secure software development goals., • Mentor and train team members, sharing best practices in enterprise application technology, architecture, and support., • Collaborate with global R&D, Product, Technical Support, and CIS teams to maintain high levels of customer satisfaction and service quality across managed environments., • Lead initiatives aimed at enhancing quality, efficiency, and automation in service delivery., • AI, • AWS, • Azure, • CI/CD, • Cloud, • Hardware, • Support, • Kubernetes, • Linux, • SAS, • Security, • Unix, • DevOps We are a leader in data and AI, helping customers around the world transform data into intelligence and questions into answers. We offer a dynamic, fulfilling career with flexibility and a world-class employee experience. We are recognized globally for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, and Newsweek. This hybrid role is based in Marlow, London or Glasgow, UK, or Dublin, Ireland, within our SAS Cloud team in the Cloud and Information Services division. We value curiosity, passion, authenticity, and accountability, and we bring together unique talents to create software that reflects the diversity of our users and customers. Our requisition ID is 20069683, the job category is Research and Development, and travel requirements are none. last updated 40 week of 2026 #J-18808-Ljbffr

Join us to lead the evolution of our Markets CRM platform, architecting technology solutions that empower our Markets business. You will collaborate with talented engineers and help advance the direction of our platform, making a real impact. We value innovation, growth, and continuous learning, offering an environment where your ideas and contributions matter. Your expertise will help us deliver secure, scalable, and market-leading platforms. Be part of a team that encourages you to push the limits of what's possible. As a Senior Associate Software Engineer in the Markets CRM Platform team, you will work with a global group of engineers to design and deliver advanced technology solutions. You will develop and support both front-end and back-end services, ensuring our platforms remain secure, scalable, and innovative. You will contribute to a collaborative culture, pursue technical excellence, and participate in the continuous improvement of our systems. Your work will empower the Markets business and support our commitment to technology-driven success. • Lead the development and support of front-end and back-end services for the Markets CRM platform, • Execute software solutions, design, development, and technical troubleshooting, • Create secure, high-quality production code and maintain robust algorithms, • Produce architecture and design artifacts for complex applications, • Gather, analyze, and synthesize data to drive continuous improvement, • Identify and address hidden problems and patterns in data and systems, • Drive improvements to coding hygiene and system architecture, • Contribute to engineering communities of practice and technology events, • Hold formal training or certification on infrastructure disciplines concepts, • Demonstrate hands-on experience in front-end development, focusing on React.js and modern UI technologies, • Apply practical experience in system design, application development, testing, and operational stability, • Proficient in coding in JavaScript (ES6+), TypeScript, HTML5, and CSS3, • Possess strong expertise in React.js and building scalable, complex UI applications, • Develop, debug, and maintain code in a large corporate environment, • Familiar with database querying languages and integrating front-end applications with backend services, • Understand the Software Development Life Cycle, • Apply knowledge of agile methodologies such as CI/CD, application resiliency, and security, • Demonstrate understanding of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.), • Familiar with modern front-end technologies and frameworks, • Exposure to cloud technologies, especially AWS (Amplify, S3, Lambda), • Experience with front-end build tools and bundlers (Webpack, Babel, npm, Yarn), • Experience with testing frameworks and tools (Jest, React Testing Library, Cypress), • Collaborate on UI/UX design and translate design mockups into code, • Understand accessibility (a11y) and web performance best practices, • Experience with code review, linting, and documentation, • Strong debugging, troubleshooting, and problem-solving skills, • Excellent communication and collaboration skills; ability to work effectively in a team environment At JPMorganChase, we celebrate talent from all backgrounds and perspectives. We foster a culture of inclusion where every voice is valued, and all employees are empowered to deliver their best. We are committed to attracting and developing a diverse workforce. Learn more about our Business Resource Groups and how they support your career growth and potential. Join us and make a meaningful impact. #J-18808-Ljbffr

Every day, we push beyond expectations to help millions of people save money, at a time when it’s never mattered more. Through MoneySuperMarket, MoneySavingExpert, Quidco and our B2B partnerships we supply products to more than 24 million unique monthly visitors, helping UK households to save billions of pounds a year. Can you tell this is something we’re exceptionally proud of! Creative, collaborative, ambitious – it’s hard work. But what makes it worth it? Leaving work knowing we’ve made a difference to our customers, users, and to each other. Put our distinct brands together with our dedicated colleagues and you’ve got a workplace with lots of personality. We’re open-minded, diverse, and love our differences. Everyone plays a part, and comes together to work hard, go beyond, and make sure everyone feels they belong. As part of the MONY Group Data Team, our goal is to drive business growth by building andmaintainingdata products that power analytics, financial reporting, CRM, machinelearningandpersonalisedcustomer experiences. We work closely with teams across the business to make data clean, reliable,secureand accessible for decision-making. Data & AI Engineering is a cross-functional team of engineers and scientists. We integrate with the group’s operational data stores,maintainshared data models, build AI-infused internal and external data products, and provide tools and services that help data teams handle data securely and ship with confidence. This is a hands-on engineering role for someone who wants to build reliable data platform capability and improve how engineering work gets done.You will helpoperateand evolve the platform that supports analytics, CRM, financialreportingand machine learning across MONY Group. AI-assisted engineering is an important part of the role, but we do not expect candidates to arrive as experts in every agent framework or tool. We are looking for strong engineering judgement, curiosity, and the ability to apply automation responsibly to real delivery and operational problems. You might come from data engineering, platform engineering, software engineering, SRE, analytics engineering,MLOps, or cloud infrastructure. What matters most is that you enjoy reducing toil, improving developer experience, and building secure, observable systems that other teams can depend on. • Contribute to the design, delivery and operation of platform infrastructure using infrastructure-as-code, primarily Terraform., • Improve CI/CD pipelines, deployment practices and platform tooling that enable data teams to self-serve safely., • Work with security,complianceand data protection colleagues to reduce risk and improve data handling practices., • Build robust, scalable data solutions that support business needs such as CRM, SEO, financialreportingandpersonalisation., • Stay close to the business context and apply software engineering practices to solve specific data problems., • Improve monitoring, alerting, data qualitychecksand observability so issues are detected and understood quickly., • Identifyrepeated or high-friction engineering tasks and turn them into reliable automated or AI-assisted workflows., • Help shape team practices for coding agents, prompts, local instructions, skills,hooksand tool integrations where they deliver real value., • Balance speed with security,reviewabilityand maintainability when introducing AI-assisted delivery patterns., • Share practical learning through documentation, demos,pairingand show-and-tell sessions., • Support more junior team members through coaching, codereviewand clear engineering standards., • Keep an informed view of the fast-moving AI tooling landscape and recommend adoption where it solves real team problems., • Strong software or data engineering fundamentals, includingproductionPython and SQL., • Experience building,operatingor improving cloud-based systems., • Familiarity with infrastructure-as-code, CI/CD, versioncontroland automated testing., • Ability to reasonaboutreliability, security,observabilityand operational support., • Experience working with technical and non-technical stakeholders and communicating clearly., • Curiosity about AI-assisted engineering and automation, with an interest in applying these tools to practicaldeliveryworkflows., • Experience with GCP or AWS services such as serverless runtimes, networking, data warehouses, streamingsystemsor managed workflow platforms., • Experience building or configuring AI agent workflows, custom agents, tool/function calling, MCP servers, local coding-agent instructions,hooksor SDKs., • Experience with BDD/TDD, design-for-testing, or improving testability in data and platform systems., • Up to 27 holidays + bank holidays, • Pension up to 6% employer contribution, • Bonus scheme, • Digital Doctor on demand, • Work from anywhere scheme – 2 weeks per year, • Financial coaching, • Mental health platform access We’re invested in your development. Expect mentorship, training, and opportunities to expand your skill set, including access to your own individual LinkedIn Learning license with access to over 16,000 courses. At MONY Group, we believe in the strength of diversity and see inclusion as a strategic advantage. Our values guide us in creating a workplace where fairness and equity is a reality for all. We’re committed to minimising systemic bias and creating a level playing field for all candidates. Contact us for reasonable accommodations in the application process, no need to disclose your disability or condition, just specify your needs. Unsure what to ask for? We can guide you through available accommodations. We understand that job adverts only say so much and you’re likely to have a lot of questions. If you’d like to know more before applying such as more on hybrid working, salary, our parental leave policy etc, please just let us know, and we’ll be happy to help. You can contact the recruiter for this role, Kim at We believe that success isn’t solely defined by ticking boxes on a skills checklist. We encourage your application, so we can discover your skills and experience that will help you succeed in this role. #J-18808-Ljbffr

Location:London, United Kingdom (Hybrid) - 2 days per week onsite in London office Hybrid| Full-time Compensation:Competitive Compensation We are hiring on behalf of our client, a pioneering scale-up in the UK credit data market, is seeking a early-career Product Engineer to build and maintain the Go services that power their real-time B2B APIs on AWS. In this role, the successful candidate will join a collaborative and highly productive engineering team, reporting directly to the CTO. Working alongside and receiving mentorship from senior engineers, the candidate will take full ownership of real features end-to-end from day one. The role emphasizes a strong product mindset—focusing on user impact, problem-solving, and robust production design—alongside high standards for code quality and the responsible, effective use of modern AI tooling to complement engineering judgment. Key Responsibilities: • Build, test, and ship features in Go API services with support and code review from senior engineers., • Take full ownership of delivered features, from initial design discussions through to production behavior and customer outcomes., • Work with AWS infrastructure, containers, and CI/CD pipelines, operating the services being built., • Contribute actively to code reviews, design discussions, and technical decision‑making., • Utilize AI development tools deliberately and effectively to enhance code quality and delivery speed while maintaining complete accountability for engineering output., • Experience: Approximately 1 to 3 years of commercial software engineering experience (or equivalent evidence of building and shipping production‑level software)., • Core Technical Skills: Go at the center of the skill set—either commercial experience or substantial project experience with a deep understanding of language principles., • Product Instinct: A user‑first mindset that focuses on API/interface usability and technical problem solving rather than just ticket execution., • AI Tooling: Fluent and deliberate integration of AI assistance (e.g., Claude) into development workflows while maintaining clear oversight and understanding of all code., • Cloud & Infrastructure: Familiarity with AWS, containers, and CI/CD concepts (e.g., Fargate, Lambda, Aurora Postgres, DynamoDB, GitHub Actions), along with an eagerness to learn the stack., • Professional Attributes: Strong bias to action, passion for problem‑solving, open to feedback, and continuous learning., • Industry Interest: Interest in fintech, credit data, or regulated industries (direct domain experience is a plus)., • Competitive salary and equity package., • Holiday & Leave: 25 days of paid holiday, flexible bank holidays, and unlimited unpaid leave., • Pension: Employer pension contributions., • Growth & Mentorship: Direct mentoring from senior engineers, clear career progression, support for technical training, and AWS certification., • Work Flexibility: Hybrid work schedule and flexible hours., • Health & Wellness: Cycle‑to‑work scheme. Interview Process: • Stage 1: Initial screening call., • Stage 2: Technical discussion and live coding / design review., • Stage 3: Final conversation with senior leadership / CTO. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates.If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job‑advert in an accessible format please let us know at the earliest opportunity by . #J-18808-Ljbffr

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. You are a problem solver and builder, passionate about creating practical solutions that help customers make better engineering decisions. You can grasp and apply advanced engineering concepts across multiple industries, and you excel at working directly with customers, often on-site, to develop high-fidelity simulation models that feed into AI tools that are both useful and used. You bring deep expertise in fluid mechanics, heat transfer, and multiphase modelling, including particle-laden flows, fluidised beds, and coupled CFD-DEM. You are highly proficient in at least one of Star-CCM+, OpenFOAM, or Fluent, and experienced with DEM codes such as EDEM, LIGGGHTS, or Rocky. You are adept at automating these tools to create scalable optimisation workflows. Experience in parametric CAD modelling (NX or CATIA) and coding in Python (or the ability to pick up new programming languages quickly) is an advantage. • Independently build complex multi-physics models, from geometry clean-up and meshing through to simulation, post-processing, and integration of experimental data for validation, spanning single-phase, multiphase, and coupled CFD-DEM regimes., • Develop and validate DEM models of granular and particle-laden systems, including fluidised beds, pneumatic conveying, mills, aerosols, suspensions and coating processes, applying appropriate contact models, size distributions, and coupling strategies., • Build robust parametric CAD models coupled with simulation pipeline automation to execute advanced design optimisation and DoE studies across large parameter spaces., • Partner with customers to address complex engineering challenges through advanced simulation and AI solutions. Present results clearly, recommend actionable next steps, and balance accuracy with efficiency under real project deadlines., • Work at the intersection of CAE and data science to generate high-quality simulation datasets for training machine learning and deep learning surrogate models. Apply smart sampling strategies to capture the design space efficiently and reduce computational cost., • Leverage Flux (our cloud platform) and on-premise HPC resources to accelerate high-fidelity modelling, going beyond standard setup practices to achieve genuine performance gains at scale., • Continuously improve engineering best practices, adapting simulation model setups and outputs to support the development of deep learning surrogates and physics-informed ML models., • Combine project leadership with a commitment to mentoring junior colleagues, contributing to a culture of collaboration, rigour, and shared growth., • Travel globally (North America, Europe, Asia, Oceania) up to 2–3 weeks per quarter to work on-site with customers building solutions together., • Multiphase CFD: VOF, Euler–Euler, Euler–Lagrange, or mixture models, • DEM modelling: EDEM, Rocky, LIGGGHTS, or equivalent, • Coupled CFD–DEM workflows for particle–fluid systemsli>, • Heat and mass transfer modelling, • Reacting flows and phase-change processes (advantageous), • Proficiency in Star-CCM+, OpenFOAM, or Fluent, • MEng, MSc, or PhD in mechanical, chemical, or process engineering, • Python scripting and simulation automation, • DoE, surrogate modelling, and design space exploration, • Parametric CAD modelling (NX or CATIA advantageous), • Strong written and verbal communication with technical and non-technical audiences Please note, this role is based in London, working 2-3 days per week in our central office. Build what actually matters Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win- wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected. Sustainable pace, long-term ambition Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person. And it doesn’t stop there … • Equity options - share meaningfully in the company you’re helping to build., • 10% employer pension contribution - because investing in future matters., • Free office lunches - to keep you energised and focused., • Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most., • YellowNest nursery scheme - to help working parents manage childcare costs., • 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters., • Private medical insurance - 100% employee cover, giving you complete peace of mind., • Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing., • Eye tests - because good work depends on good health., • Personal development - dedicated support for learning, development, and leveling up over time., • Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it., • Bike2Work scheme and Season ticket loan - to make getting to work easier and greener., • Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. Watch this space, we’re continuing to build this as we grow… We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application. #J-18808-Ljbffr

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bankyouare 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Working within the Data Analytics team you will be are responsible for applications that store large amounts of cross asset market data using KDB technology for real-time and historical access. This is an exciting time as we migrate to AWS, re-architect our applications and build-out greenfield projects. Job responsibilities • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems, • Develops secure high-quality production code, and reviews and debugs code written by others, • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems, • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies, • Adds to team culture of diversity, equity, inclusion, and respect, • Develop core systems and frameworks based on KDB., • Lead team members via book of work management. Improve team through SDLC, testing and continuous improvement of coding standards., • Develop scalable real-time processing solutions using agile methodology., • Partner with stakeholders to capture requirements and deliver solutions., • Partner with the application support teams to maintain and support the platform. Required qualifications, capabilities, and skills • Formal training or certification on software engineering concepts and advanced applied experience, • Hands-on practical experience delivering system design, application development, testing, and operational stability, • Proficiency in automation and continuous delivery methods, • Proficient in all aspects of the Software Development Life Cycle, • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, • Development lead experience: requirements capture, task decomposition, time and effort estimation, delivery planning, testing, user acceptance testing., • Deep understanding of KDB technology and Q language. At least 7 years of professional experience using KDB. With at least an additional 2 years as a Lead., • Deep understanding of KDB+tick design and data organization, performance implications of different approaches., • Practical experience developing/running large datasets and optimizing query performance., • Practical experience scaling and load-balancing of KDB applications., • Practical experience building resilient and high-availability KDB applications. Preferred qualifications, capabilities, and skills • Experience with market data venue and vendor data platforms., • AWS Experience., • Experience in Terraform and Kubernetes from managing a Production Plant in Public Cloud., • Experience other languages e.g. Python/C/C++/Java. #J-18808-Ljbffr

We see the world differently at Capstone Investment Advisors. You will, too. Capstone is a global, alternative investment management firm operating across a broad range of derivatives-based strategies with a deep understanding of volatility. With approximately $14.6 billion of AUM and 315 employees (as of September 1, 2026, Capstone was formed in 2007 and is headquartered in New York with offices in London, Amsterdam, Tokyo, California, Stamford, Boston, and Milan. At Capstone, we constantly aim to expand our view of how WE SEE THE WORLD DIFFERENTLY® in order to create opportunity. Our commitment to provoking the evolution of asset management provides us with a perpetual hunger for knowledge that we believe drives the improvement of our particular approach to investment. We seek to harness the complexities of global derivatives markets with disciplined strategic insight, an experienced, accomplished team and advanced technology to create sustainable value. We’ve created a particular approach to investment that we believe drives continuous improvement and opportunities for our clients, team and industry. The Enterprise Engineering team provides technology solutions for all of the core groups within Capstone, including Treasury, Middle Office, Fund Accounting, Investor Relations, Compliance and many others. We’re looking for highly motivated software engineer with a passion for technology and markets. You’ll partner with our treasury, accounting, middle office professionals, as well as other teams across the firm to deliver cutting edge solutions to interesting problems. The ideal candidate possesses exceptional problem-solving skills, a collaborative mentality, and an ability to bring innovative ideas to life. The role offers great exposure to the many and varied areas of the hedge fund. • Create state-of-the-art software that empowers decision making across various investment strategies ·, • Design, build and maintain key software solutions that support the firm’s core teams, with a clear focus on performance, scalability, and reliability, • Own the end-to-end development process by working closely with stakeholders to understand problems, creating a strategy of execution, and delivering thoroughly tested and elegant solutions, • Collaborate with other highly skilled engineers across the technology team and the firm to tackle complex technical challenges, • Minimum Bachelor’s degree in Computer Science or related field, • Experience in building production level software in and Python, • Experience with an object-oriented language such as Java or C#., • Experience working with at least one financial asset class, • Experience with SQL databases, • Strong analytical and problem solving skills, • Collaborative team player with strong verbal communication skills, • 4+ years working experience in the financial industry (buy side preferred), • Industry experience in similar roles is a strong plus., • Experience with AI-assisted coding in a production environment., • Product knowledge in the Equity or Fixed Income asset class Our team is our most important asset and investment. We value and respect our colleagues and their well-being inside and outside the workplace and our culture reflects this. We offer a robust and competitive benefits program to ensure the well-being of our colleagues. Some benefits included in this role are: • Training and development opportunities, • Robust Wellness Resources: Physical, Mental and Financial, • Time-Off, Retirement and Commuter Benefits, • Gym Reimbursement and other Discounts The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. In addition to base compensation, this role is eligible for an annual incentive plan. At Capstone, we value a diverse, equitable, and inclusive workplace where all employees feel appreciated and respected. Our commitment to a nondiscriminatory approach extends equal opportunities for employment and advancement across our programs, departments, and locations. We actively seek and appreciate a variety of life experiences and heritages and advocate for the amplification of all voices. At Capstone, we're all about creating a workplace where you can thrive and make a real impact. We value innovation, teamwork, trust, and discipline, and we know you do too. Experimentation: We love fresh ideas and encourage you to try new things. Here, you’ll have the freedom to innovate and help shape our strategies. Collaboration: We’re big on teamwork. You'll join a supportive community where everyone’s input matters, and we learn from each other every day. Trust: We believe in building strong, honest relationships. You'll be part of an environment where your contributions are respected and integrity is key. Discipline: In our fast-paced world, staying focused is crucial. We commit to high standards and a disciplined approach, helping you grow both personally and professionally. Be part of a team that values your creativity and dedication. Together, let's push boundaries and achieve great things. Equal Opportunity EmployerCapstone is committed to creating an inclusive environment where we welcome people of different backgrounds. Capstone considers applications for employment without regard to all applicable protected characteristics, including race, color, religion, ethnicity, national origin, gender, sexual orientation, gender identity or expression, age, parental status, veteran status, or disability status. #J-18808-Ljbffr

Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections primarily in Java, as well as in Python, JavaScript (including ReactJS), C/C++, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions. • Working on AI model training initiatives by curating code examples, building solutions, and correcting code — primarily in Java, along with Python, JavaScript (including ReactJS), C/C++, Rust, and Go., • Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of the code and identify error patterns., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them., • Design verification mechanisms that can automatically verify a solution to a software engineering task., • Several years of software engineering experience (3 years or more), • Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Excellent oral and written communication skills for clear, structured evaluation rationales., • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week, • Type: Contractor (no medical/paid leave), • Duration: 1 month (potential extensions based on performance and fit), • Location: Candidates must be based out of the US, Canada, or WEU countries (Austria, Belgium, France, Germany, ...), • The application process takes 15-30 minutes., • Completion of an AI video interview is required. #J-18808-Ljbffr

Dwelly is building the AI operating system for residential lettings. Its growing network of agencies provides its AI with real-world data, continuous feedback, and control over complete workflows, making exceptional service the standard for landlords and tenants. Today, Dwelly operates more than 15,000 properties and $470 million in GMV, making it one of the UK’s ten largest lettings operators. The company has raised $263 million. We’re a fast-growing, product-focused company, backed by top-tier investors and led by a team with deep experience in real estate, technology, and operations We are looking for a talented lawyer, around 4 PQE+, with a strong private practice grounding (and, ideally, some in-house exposure) to join and help scale our legal team. You will work closely with the General Counsel as an early legal hire in an industry changing business. The role will suit a commercially-minded lawyer able to support a broad range of legal matters in a fast-paced growth environment. Familiarity with M&A is important given Dwelly's acquisition-led business model, alongside an appetite to work across the other legal matters a scaling tech business is likely to face (fundraising, AI-product roll-outs, litigation, employment, data, compliance, general commercial, and more). • Working with autonomy on day-to-day legal matters, while escalating and taking guidance from senior legal counsel as needed., • Supporting a broad mix of work — this could include assisting on fundraising, working closely with our product engineers, reviewing data and AI regulatory questions, or leading on M&A deals as part of our roll-up strategy., • Applying sound common sense and commercial judgement, and thinking beyond the strict legal wheelhouse to help minimise risk rather than acting as a 'gatekeeper' for what is legally possible., • Growing into broader responsibility over time, with genuine scope for progression and, in due course, involvement in supporting more junior members of the legal team., • Using AI and technology to work smarter — we expect our lawyers to actively embrace AI tools (such as Wordsmith and similar legal-AI platforms) to draft, automate and scale legal work, building reusable templates, playbooks and workflows, and using low-code/no-code and coding approaches to solve legal and operational problems rather than doing everything by hand. This hire will be responsible for all inhouse legal AI repositories platforming. Must have: • An excellent academic and training background (UK or Australia qualified)., • Familiarity with M&A. High preference to have: • Hands-on experience using AI tools to create legal work product — for example, building templates, playbooks or automated workflows in a platform such as Wordsmith — and a genuine appetite for legal automation and coding., • In-house, tech / start-up experience. Nice to have: • Lettings law / estate agency experience., • Experience outside a strict legal role (for example, leading a compliance function or contributing to operations). Legal sits at the core of nearly every business decision Dwelly makes — whether that's structuring new products for our customers or helping to land finance (debt and equity) to continue to drive growth. Legal plays a key part in Dwelly's growth story. • Competitive salary with the potential for equity options based on performance, recognising exceptional contributions to our integration success., • Location: UK (hybrid) Feel free to check out Dwelly Core Principles . That’s about what we believe in, how we operate and make decisions. What we offer is not a fancy office or a static workplace. Instead, this is solving one of worlds’ most complex problems in the largest consumer industry in the world (residential rentals), to improve the experience for >30% of households (>5M in the UK, and >100M including EU and US) that live in rental homes. This is about disrupting the largest, most antiquated industry in the world, with one of the strongest operational and technical teams that exist in the UK and the EU. We work hard, and we shoot for extremely ambitious results. But we want people to be proud of what they’ve built and be able to look back and say one day "hell yeah, that was me that did it all". • Customer obsession rather than competitive focus, • Passion for invention, • Operational excellence, • Long-term thinking By applying for this position, you consent to the processing and storage of your personal data for recruitment purposes for up to 365 days, in accordance with our data retention policy and applicable data protection laws. #J-18808-Ljbffr

Ready to design and build the interfaces that bring the AI agents of the future to life? Join our growing team at Ani Tech where you'll craft the experiences that let financial professionals work seamlessly alongside autonomous AI systems. We're pioneering agentic AI for financial services. Our flagship product, Ani, orchestrates teams of specialised AI workers that execute sophisticated workflows across portfolio analytics, financial planning, and operations. Unlike traditional automation, our AI workers think and act autonomously, making intelligent decisions while navigating complex financial processes. You'll help define how financial services firms understand, trust, and direct our AI agents - starting from research and concept, through to a working, production-quality interface. This is a rare chance to shape the end-to-end design process for an entirely new category of software - AI-native tools for a highly regulated industry - while working on meaningful projects with direct impact. • Own the design process end-to-end: research, wireframes, prototypes, and production UI for our AI agent platform, • Design dashboards, agent interaction views, and workflows for complex, data- and document-heavy financial processes, • Run lightweight user research and usability testing with real users to validate and refine designs, • Build and evolve our design system and component library, and the interaction patterns that sit on top of it, • Build out your own prototypes and designs in React, and work closely with engineers to get them into production, • Design responsive, accessible experiences across React and mobile, • Work closely with senior engineers and the founding team to shape product direction, • A strong design portfolio showing process as well as polished outcomes, • Experience spanning both UI/UX design and frontend engineering, whether from work, internships, or significant personal projects, • A sharp eye for typography, layout, and visual hierarchy, and a habit of sweating the details, • Skill in designing for mobile as well as desktop, with an understanding of responsive and platform-specific patterns, • Fluency in design tools (e.g. Figma), and comfort translating your own design files into clean code, • Familiarity with REST APIs and consuming backend services, • Comfortable presenting and defending design decisions directly to founders and engineers, • Strong problem-solving skills and eagerness to learn, • Advanced degree or formal training in Design, HCI, Computer Science, or a related field, • Understanding of accessibility standards (WCAG) and inclusive design practice, • Exposure to design systems, component libraries, or design tokens at scale, • Experience running user research, interviews, or usability testingInterest in financial technology, fintech UX, or regulated-industry product design, • Contributions to personal or open-source projects, or a public design portfolio, • Familiarity with agentic coding/working, such as Cursor/Antigravity/Claude, • Interest in Artificial Intelligence, the available models and the nuances with them, • Join our tight-knit team at an exciting point in our company's mission, • Work at the forefront of AI innovation in financial services, • Work directly with our CTO and Founder in our Brick Lane Office, • Enjoy equity ownership and help shape the company's technical and visual direction, • Own critical design decisions with significant autonomy, • Flexible hybrid working - we value collaboration in-person but work flexibly, • Build technology that's transforming how financial institutions operate If you're excited about defining what AI-native software looks and feels like in finance - and want to grow your career at a fast-moving startup where your contributions matter - we want to hear from you. #J-18808-Ljbffr

Do you get excited when guiding organizations on the transformation of their business and HR processes based on the next generation of technology? Put your expertise to work as part of the world’s largest independent technology services provider and own the way as a trendsetter in Workday. We’re ready if you are. Location: Europe The Accenture Workday Business Group is a leading partner to Workday worldwide and has a track record of implementing many of the most significant Workday projects. In addition, we take pride in advising and collaborating closely with our clients from early strategy discussions, through technology implementations and transformation programs, to support and operations. Learn more about our practice at www.accenture.com/workday. Do you want to work with global talent at the forefront of technological services and seek meaningful projects for top international businesses? At Accenture you have access to specific trainings for your role. You will start with training — together with colleagues — and you will join seminars at various international locations. You will be primed, equipped and well-networked to tackle exciting projects. 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. “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 CEO • Innovative large scale Workday projects, • A global network of talented and passionate colleagues, • Challenging work for some of the world's largest companies, • Extensive education programs and development opportunities, • Volunteering and career opportunities around the world, • A diverse and socially active workforce, • Flexible working hours and opportunity to work from home, • Friendly and social work environment, • Ability to craft your career based on your own aspirations. You’ll be part of a team of advisory professionals who deliver more than just technology. From rapid deployments to complete transformations, you will provide integrated, cloud-based HR solutions that put organizations on the fast track to a better way to work. • Sharing leading practices and your experiences on developing Workday Extend applications reuse of existing assets, • Hosting workshops and leading discussions on defining a tailored Extend applications meeting client requirements effectively, • Lead discovery session with client to conceptualise and architect the Extend application, • Deliver requirements and design documents to developers, • Managing and guiding a team of Workday Extend consultants, • Liaising closely with client counterparts, Accenture colleagues and Workday to achieve a robust solution, • Active involvement in (pre-)sales activities to shape the right offering for our prospective clients, • Existing and up to date Workday HCM and/or Financials, Integrations and Workday Extend certification., • Experienced in architecting, designing and developing Workday Extend applications., • Strong analytical skills with a proven ability to collect, organize and analyze applications requirements using Workday Extend., • Ability to meet client travel requirements as needed and efficiently manage a team(s) and client interactions, • Thrive in a diverse, dynamic environment, meet deadlines despite conflicting demands, analytical thinking and problem solving skills., • Excellent communication skills, both verbal and written, and can clearly articulate complex messages and requirements, • Bachelor's degree or equivalent, Fluency in English, • Shape solutions that make use of Workday's native AI and machine-learning capabilities to drive smarter Extend processes, • Apply Accenture's GenAI-enabled accelerators to speed up design, testing and documentation, • Help clients identify where AI can create measurable value in their Extend processes, • Contribute to Accenture's growing library of AI-powered Workday assets and leading practices, • Senior experience of consulting , most recently in a Consultant or similar level role, • Multiple Extend applications you have helped design and implement, • Experience in Workday integrations and/or other integration technologies, • Experience in custom software development in multiple coding languages, • Fluency in another language #J-18808-Ljbffr

We have an opportunity to impact your career and provide an adventure where you can push the limits of what’s possible. As a Lead Software Engineer at JPMorganChase within the AI and Machine Learning Data Platforms team, you are 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems, • Develops secure and high-quality production code, and reviews and debugs code written by others, • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes‑oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture, • Will provide technical leadership on data projects across engineers, product managers and stakeholders, • Will provide mentorship/guidance to a couple of junior engineers, • Drives team adoption of enterprise‑authorized AI‑assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI‑assisted code review/refactoring, test strategy acceleration, incident/root‑cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team., • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise‑authorized AI‑assisted development and automation capabilities, to improve the value realized by automation., • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems, • Formal training or certification on software engineering concepts and advanced applied experience, • Hands‑on practical experience delivering system design, application development, testing and operational stability, • Demonstrable strength in a cloud based engineering environment, • Advanced Python - additional programming languages a plus, • Demonstrated experience leading effective use of approved AI‑assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security., • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices, • Proficient in all aspects of the Software Development Life Cycle, • Good understanding of databases / data structures, • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, • In‑depth knowledge of the financial services industry and their IT systems, • Practical cloud native experience #J-18808-Ljbffr

We have around 650 engineers across Monzo who design and build our in‑house banking platform. We have big ambitions for the future, and technology plays a big role in creating a bank our customers want, so engineers at Monzo collaborate across disciplines to solve interesting challenges throughout the company. These range from the products our customers use everyday to underlying infrastructure, security, payments and finance, customer operations, financial crime, and data, to name just a few areas. As a bank, there is scope for impact across a huge number of opportunities. This role is all about collaborating with your team to make a difference to your customers. As a backend engineer you’ll work in a squad alongside other disciplines like product managers, marketers, user researchers, designers, mobile engineers, web engineers, data analysts, business analysts, writers and more! Together you'll build and support a particular part of Monzo. Our squads belong to our wider collectives (a word we use to describe self‑governing business units of ~100 people). They are: Core Banking, Business Banking, Wealth, Borrowing, Growth, Payments, Platform, Fincrime, Security & Expansion. All of our collectives are doing innovative work, many of which have machine learning and AI at the forefront—from fighting financial crime to building smarter financial tools—and you may have the opportunity to join a collective that gives you direct exposure to this exciting space. They’re all looking for additional Backend Engineers right now, we do a standard interview process across all our collectives and at the end we will find the best match for you based on your skills, experience, preferences and aligning with the business need! Our backend engineers have a variety of different backgrounds. As long as you enjoy learning new things, we’d love to talk to you. We do not ask for formal qualifications or degree requirements for any of our engineering roles. Our main tech hub is in London, but our engineers live everywhere in the UK—from Brighton to the Western Isles. We value meeting in person but we don't have a mandated requirement on office attendance, even if you're nearby. We believe you'll do your best work if you are where you want to be. If you live outside of London and we ask you to come into the office, Monzo will support you with the costs. Our offices are naturally social, especially Tuesdays, Wednesdays and Thursdays, which happen to line up with our twice-weekly Monzo lunches & treat Thursdays. Teams also schedule time together often for work and play – in or around the office, or online. At Monzo, we value connections, flexibility, and wellbeing. We keep our meetings during core hours to stay connected and believe in maintaining work/life balance. You’ll be empowered to manage your work in a way that suits you and your team, giving you the freedom for children drop-offs and pick-ups, walking your dog or adventurous cat, avoiding peak commuting times or gym slots, appointments, or supporting your family in an emergency. If you prefer to work part-time, we'll make this happen whenever we can – whether this is to help you meet other commitments or strike a great work‑life balance. We encourage you to apply— even if you don’t have everything that’s listed just yet. • you have strong experience working on the backend of a technology product, • you want to be involved in building a product that you (and the people you know) use every day, • you have a product mindset: you care about customer outcomes and you want to make data‑informed decisions, • you’re comfortable working in a team that deals with ambiguity, • you’re interested in distributed systems and writing resilient software, • you have some experience with strongly‑typed languages (Go, Java, C, Scala etc.), • you think you’d enjoy the kind of work we’re doing Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply—even if you don’t have everything that’s listed just yet. We hire very technically agnostic so whilst we use the below technologies we do not expect prior knowledge, you will be fully supported in our organised onboarding to get up to speed in the below: • Go to write our application code (there’s an excellent interactive Go tutorial here), • AWS for most of our production infrastructure and GCP for most of our data infrastructure, • React for our public web apps and internal tools, • We also have physical datacenters with actual cables to connect to various third parties Our interview process involves three main stages: • Initial Call, • Take home task or pair coding exercise, • Final interview: including a system design and a behavioural interview Our average process takes around 4 weeks but we will always work around your availability. • £105,000 - £135,000 + Incentive Awards tied to your performance, • We can help you relocate to the UK, • We can sponsor visas, • This role can be based in our London office, but we’re open to distributed working within the UK (with ad‑hoc meetings in London)., • We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team., • Learning budget of £1,000 a year for books, training courses and conferences, • And much more, see our full list of benefits here We’re usually always hiring for Backend Engineers, so there’s no closing date for this job. Our goal at Monzo is to make money work for everyone. To do that, working at Monzo must work for everyone. We want to create an equitable, engaged and innovative workplace which gives people from all backgrounds the support they need to thrive and grow. #J-18808-Ljbffr

New capabilities are tested thousands of times in simulation before they go onto our UAVs. In this role you’ll build and maintain that simulation environment. Minerva Defence is one of the fastest-growing defence technology companies in Europe. We create the software, hardware and networking that make unmanned systems effective on the modern battlefield, all designed and manufactured end-to-end in the UK, and in active use today. We are deliberately low-profile: a team of around 60, small in headcount and outsized in effect. We look for people who are not just talented but genuinely committed to the work, the team, and the purpose behind it. The role You will develop and maintain simulation software that our engineers and customers depend on daily and integrate changes across connected applications and services where needed. Simulated tooling is critical for the company, as it is where flight control and autonomous systems are proven before deployment and where operators are trained and rehearse missions. It is also where we first test our suite of software systems together. Flight control, autonomy, communications and ground control software run together in the simulation before they are integrated on real hardware. This helps us identify problems that only emerge when complex systems interact. The work spans, C++ simulation software, physics, networking and application development across several software stacks. The challenges include rigid-body dynamics and numerical stability, real-time budgets, networked state management, and integrating our flight control software with simulation. You also should expect to be involved in flight testing to gather real-world validation data. We are looking for an engineer that is a few years into their career who can own features and improvements from design and implementation through testing and delivery. You will work alongside people with deep knowledge of the aircraft, its control systems and operators, so do not need to have come from a defence or aerospace background. Responsibilities • Build and extend our real-time simulation of the UAVs, their sensors, and the environment they operate in., • Develop vehicle dynamics models and validate them against measured flight data., • Integrate the aircraft’s flight control and autonomy software with the simulation so it can be tested before deployment., • Provide the environment where flight control, autonomy, communications, and ground control software are integrated and exercised together, to surface faults in simulation, rather than in the field., • Scale the simulation across many vehicles at once over lossy, contested and degraded networks., • Make the simulation effective, reliable, and accessible for regular use by developers, trainers, and end users., • Automate headless simulation runs, repeatable scenarios and results reporting in our CI/CD pipelines., • Build virtual environments and scenarios from real-world data that look realistic and authentic to humans as well as image processing systems., • Bringing multiple subsystems together into a working whole and finding the faults that only appear once they run., • Replay logged flight data through the models to reproduce what happened in the air and turn it into a regression test., • Support the training and mission-rehearsal use of the simulation, • Generate synthetic sensor data for our computer vision and perception models., • Take part in flight testing to gather validation data and see the real system behave. Minimum: • Proven experience writing high-performance, modern C++ with hard real-time and determinism constraints., • Willingness to work and learn across application code, engine, networking, tooling and build systems., • Comfortable with version control and CI/CD, and automated testing., • Willingness to be involved in field testing and validation against real flight., • Eligible for UK security clearance (SC): UK citizen or 5+ years UK residency. Preferred: • A solid grounding in the mathematics of physical simulation: rigid-body dynamics, numerical integration, and coordinate frames and conventions., • Flight dynamics or 6-DOF modelling, and experience validating a model against measured real-world data., • Distributed or networked simulation: time synchronisation, state replication, and behaviour over unreliable links., • Model-, software-, hardware- or vehicle-in-the-loop testing (MIL, SIL, HIL, VIL), • Experience with autonomous aerospace systems,.autonomous vehicles, motorsports, robotics or simulation-heavy games development., • Experience with a real-time simulation engine, on the systems and performance side rather than content., • Virtual reality development, or human-in-the-loop trials that put real operators in front of a simulation., • Model-based design and verification from another regulated domain: MATLAB/Simulink, SysML, ISO 26262 or DO-178C., • Python for tooling, data analysis, and automation., • Familiarity with Unreal Engine or similar engine., • Experience using AI coding agents to speed up development and respond to changing requirements,, • Knowledge of building guardrails that keep AI agents within scope and enforce code quality. We offer competitive compensation including; • Share options vesting over three years, • Bupa private medical insurance, • 6% employer pension contribution, • 25 days leave plus bank holidays, • Enhanced mat/pat leave, • Enterprise level AI tooling, • Relocation support/home office budget #J-18808-Ljbffr

At Barings, we are as invested in our associates as we are in our clients. We recognize those who work diligently for us and reward them for personal and professional integrity, communication skills, distinct competencies and expertise in specific strategies, ability to collaborate as a team member and true dedication to the interests of our clients. We thank you for your interest in joining the Barings team, and invite you to explore our current employment opportunities. Job Title: Forward Deployed AI Engineer Business Title: Senior Associate Department: Global Technology – Innovation & Data Insights Location: London, UK Barings is scaling the safe, governed adoption of AI across the firm, and the Innovation & Data Insights team within the Global Technology Division sits at the centre of that effort — pairing deep asset‑management business domain knowledge with hands‑on engineering to turn emerging AI capability into working solutions. We are seeking a Forward Deployed AI Engineer to embed directly with our Investment, Client & Support teams, to understand their workflows first‑hand, and build AI‑powered solutions that deliver measurable and tangible value. This is a hands‑on, delivery‑focused role. You will scope and prototype rapidly, validate with the business, and ship production‑grade solutions spanning automation, workflow orchestration, and client‑facing tooling — using AI‑native tooling across the entire lifecycle, from design and testing through to documentation. You will build on platforms such as Microsoft (Copilot, Cowork, Studio, Foundry) then work with engineering and the broader AI platform team to generalise what you learn into reusable platform capabilities. The successful candidate combines strong business understanding across asset management with genuine software‑engineering depth and daily fluency in AI‑native development tools. You will be equally comfortable distilling an ambiguous business problem, writing production code, and teaching a team to use AI effectively and responsibly. • Apply cutting‑edge AI to complex professional settings and real investment workflows, developing deep expertise with leading LLMs., • Build intimate domain expertise in how our users work — from credit agreements to lease documents — so that solutions fit the real workflow., • Become a core, trusted AI advisor to our stakeholders, driving adoption, value, and growth., • Optimise processes for scale by defining and continually enhancing the internal workflows that shape and improve how we work., • Own problems in ambiguity, operating with autonomy in fast‑moving, unstructured environments — quickly distilling complex problems, learning on the fly, and driving to actionable solutions across customer and product needs., • Understand the business problem first, then leverage AI tools to accelerate solution design, building analytics and modelling solutions grounded in domain expertise., • Partner with Business stakeholders, and architects to design, prototype, and deliver AI‑powered solutions spanning automation, workflow orchestration, and client‑facing tooling., • Run tasks end‑to‑end, from scoping and prototyping through to deployment, using AI‑native tooling throughout — not just for coding, but across design, testing, and documentation., • Write production code that deploys through our pipelines and meets our engineering standards., • Build custom integrations, workflow automations, and domain‑specific solutions on top of Barings AI platform, including connectors to business data sources and document management systems., • Prototype fast, validate with the business, iterate, and ship., • Own the technical relationship with the business team throughout each engagement., • Support the delivery of investment, client & operational workflows, identify high‑value AI use cases, and build proofs of concept that demonstrate measurable impact., • Return from engagements and work with engineering and product to generalise reusable patterns into platform capabilities., • Participate in architecture discussions alongside core engineering., • Deliver hands‑on training, office hours, demos, and documentation that teach effective and responsible use of AI tooling — including prompting practices, workflow integration, and limitations., • Build and contribute to AI platform architecture standards, including prompt‑engineering patterns, agentic workflow design, and LLM integration guidelines., • Collaborate with the wider technology and AI Platform teams to specify the dependencies analytical solutions require, such as data, development environments, and tooling., • Collect, structure, and synthesise user feedback, pain points, and feature requests, translating them into clear requirements and prioritised recommendations for the AI Platform team., • Identify patterns across teams to surface high‑impact opportunities, quantify potential impact, and highlight use cases with broader applicability across the wider AI organisation., • Champion responsible AI usage, ensuring deployments adhere to firm policies on data security, model governance, and compliance., • Demonstrate conformance to all Barings Enterprise Risk Management policies., • Ensure all development activities are undertaken within the defined control environment., • Software engineering experience with demonstrable, recent use of AI‑native development tools as a core part of your daily workflow., • Daily proficiency with AI coding tools such as Claude or GitHub Copilot., • Hands‑on LLM integration experience., • Working knowledge of MCP (Model Context Protocol), REST APIs, and microservices architecture., • Cloud platform experience., • Experience with agentic frameworks such as LangChain, LangGraph, AutoGen, or similar., • Strong analytical skills — the ability to understand a business problem first, then apply AI tools to accelerate solution design., • Strong business understanding across asset management, with relevant domain expertise across investments, operations, data, and workflows., • Initiative and ownership, with a track record of running tasks end‑to‑end with autonomy., • Experience with external market providers such as Hebbia or comparable enterprise AI intelligence and agentic research platforms., • Experience with Microsoft 365 Copilot, Copilot Cowork, and Copilot Studio., • Familiarity with prompt‑engineering patterns and agentic workflow design., • Experience building connectors to document management systems and enterprise data sources., • Experience delivering enablement — training, office hours, and documentation — to non‑technical audiences. Experience within asset management, financial services, or another regulated industry is strongly preferred. Familiarity with investment, operations, and data workflows — and with the documents that underpin them, such as credit agreements and lease documents — will help you build credibility and deliver value quickly. Barings is an Equal Employment Opportunity employer; Minority/Female/Age/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply. #J-18808-Ljbffr

We have around 400 engineers across Monzo who design and build our in-house banking platform. We have big ambitions for the future, and technology plays a big role in creating a bank our customers want, so engineers at Monzo collaborate across disciplines to solve interesting challenges throughout the company. These range from the products our customers use everyday to underlying infrastructure, security, payments and finance, customer operations, financial crime, and data, to name just a few areas. As a bank, there is scope for impact across a huge number of opportunities. This role is all about collaborating with your team to make a difference to your customers. As a backend engineer you’ll work in a squad alongside other disciplines like product managers, marketers, user researchers, designers, mobile engineers, web engineers, data analysts, business analysts, writers and more! Together you'll build and support a particular part of Monzo. Our squads belong to our wider collectives (a word we use to describe self-governing business units of ~100 people). They are: Core Banking, Business Banking, Wealth, Borrowing, Growth, Payments, Platform, Fincrime, Security & Expansion. All of our collectives are doing innovative work, many of which have machine learning and AI at the forefront- from fighting financial crime to building smarter financial tools - and you may have the opportunity to join a collective that gives you direct exposure to this exciting space. They’re all looking for additional Backend Engineers right now, we do a standard interview process across all our collectives and at the end we will find the best match for you based on your skills, experience, preferences and aligning with the business need! Our backend engineers have a variety of different backgrounds. As long as you enjoy learning new things, we’d love to talk to you. We do not ask for formal qualifications or degree requirements for any of our engineering roles. You should apply if: • you have strong experience working on the backend of a technology product, • you want to be involved in building a product that you (and the people you know) use every day, • you have a product mindset: you care about customer outcomes and you want to make data-informed decisions, • you’re comfortable working in a team that deals with ambiguity, • you’re interested in distributed systems and writing resilient software, • you have some experience with strongly-typed languages (Go, Java, C, Scala etc.)., • you think you’d enjoy the kind of work we’re doing We're on the look out for L30+ Engineers at the moment, you can read more in our Engineering Progression Framework you will be interviewed across the whole framework, so if you're not sure what level you're aiming for chat to your recruiter! We hire very technically agnostic so whilst we use the below technologies we do not expect prior knowledge, you will be fully supported in our organised onboarding to get up to speed in the below: • Go to write our application code (there’s an excellent interactive Go tutorial here ), • AWS for most of our production infrastructure and GCP for most of our data infrastructure, • React for our public web apps and internal tools, • We also have physical datacenters with actual cables to connect to various third parties Our interview process involves three main stages: • Initial Call, • Take home task or pair coding exercise, • Final interview: including a system design and a behavioural interview Our average process takes around 4 weeks but we will always work around your availability. One of our engineers has written a detailed blog on their experience through this process, for extra details, hints and tips please see here . • We can help you relocate to the UK, • We can sponsor visas., • This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London)., • We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team., • Learning budget of £1,000 a year for books, training courses and conferences, • And much more, see our full list of benefits here We're usually always hiring for Backend Engineers, so there's no closing date for this job. #J-18808-Ljbffr

Arondite enables organisations to wield autonomy, data and AI at scale. We equip operators with the foundational software to orchestrate their mix of platforms and capabilities, and then take mission-critical decisions faster than their adversaries. We exist to ensure the UK and its allies out-think, out-pace and out-adapt those who seek to threaten our values and way of life. Our technology is designed for deployment in the world’s most austere environments, and is relied upon by the world’s most demanding operators. We deploy alongside them, bringing our technical expertise wherever it is needed. You will join Arondite at a pivotal moment in the company’s journey. We are ambitious, building for the long-term and backed by globally renowned investors including Index Ventures (Anthropic, Wiz, Figma, Revolut). Our company is being built by exceptional people; people who find high-tempo and challenging work engaging and exciting, and who consistently deliver outsized impact. You will collaborate with other brilliant minds to solve some of the world’s hardest and most important problems. You will have ownership and autonomy from Day One. There is no corporate ladder at Arondite. We hire the best people and give them extremely high levels of autonomy; the sky is the limit for an individual with the right ambition. If you are motivated by our mission and if you want to be part of an outstanding team, then we want to hear from you. Arondite is looking for Deployed AI Engineers to understand our customer’s problems and implement solutions using AI. We want people who are excited about the opportunity to take ownership for building AI within a high-performance, mission-focused team. You will be working with AI/ML models and deploying them within our software products, both running in the cloud and on edge devices in the field. The role will also encompass addressing the wider practicalities and challenges in implementing AI-based systems, including obtaining training data, addressing ethical concerns and explaining model behaviours. As an early member of the AI team at Arondite, you will be able to shape how we exploit the AI revolution, both as part of products and to accelerate our internal processes. • Working with customers to identify and understand their problems, • Designing end-to-end AI solutions from the sensor to the user interface, • Training, evaluating, testing and productionising robust and performant deep learning models to solve real-world challenges, • Collaborating with other engineers to integrate models into our enterprise software product and resource-constrained hardware systems, • Inventing novel capabilities and optimising existing approaches whilst remaining aware of ethical implications of your engineering decisions, • Documenting and explaining your solutions to provide evidence of compliance with policies regarding the safe use of AI, • Building secure, robust solutions by adhering to coding standards throughout the development lifecycle Arondite aims to bring together individuals from diverse backgrounds and with different perspectives. We therefore don’t expect people to have experience across every area of the requirements. Please apply even if you only partially fulfil the following lists. • Masters degree (MSc, MEng, etc) in computer science, artificial intelligence, machine learning, robotics or a related engineering field, • 4 years of relevant experience researching and applying modern AI/ML in areas such as scene understanding, multi-modal sensing, control and path planning, or vision-language understanding., • The ability to write clean and maintainable code in Python, Rust, C++ or Java, • Experience with frameworks such as PyTorch, Tensorflow or JAX, • Strong written and verbal communication skills to document your work effectively and present it to relevant stakeholders and users, • A passion for identifying and implementing pragmatic solutions to hard problems using AI and conventional algorithms Ideally, you would also have: • PhD in computer vision, machine learning, robotics, or a related field, • Authored publications in top-tier journals and conferences (e.g. CVPR, NeurIPS, ICLR, ICCV, ICRA, IROS, TPAMI), • Experience working with MLOps infrastructure or deploying AI models to production, including the associated monitoring, testing and quality assurance, • An understanding of different sensor modalities, their trade-offs, and relevant methods for processing their outputs to drive performance in challenging scenarios, • Created and optimised state-of-the-art AI models for resource-constrained hardware, • Experience with synthetic data generation or simulation, or collection and management of large real-world datasets All ‘deployed’ roles at Arondite involve working closely with customers at their UK locations, and when they go abroad. This can mean being away from our office for between 1 and 4 days a week on a regular basis, or going abroad for up to 2 or 3 weeks every few months. As this is a big commitment, we endeavour to maintain flexibility in resourcing to support people’s personal circumstances. We require that all candidates have an existing Right to Work in the UK at the time of application. We believe in working closely with defence customers. As a result, this role will require the individual to hold a clearance or be willing to undergo UK security vetting to Security Check (SC) or above. This normally requires having continuous residency in the UK for at least 5 years. We are focused on building a positive, collaborative engineering-driven culture. We therefore believe in making the office a friendly, comfortable and fun place to be, and we try to work from the office where possible. Of course, there are times when it makes sense for you to work from home and that’s OK. You may also need to travel to visit customers, depending on your role. But in general you should only apply to join Arondite if you’re excited to come into the office and work in person by default. Our interview process for this role is normally: • CV submission with initial questions, • Introductory Teams call (30-45 mins), • In-person technical interview (1-2 hours), • Final interview with one of Arondite’s Founders (30 mins), • Highly competitive base salary, • Generous equity in EMI share options in a well-funded and growing startup, • 7% employer pension contribution, • Free meals in the office every day, • Private health and dental insurance, with opt-in cover for dependents, • Cycle to work scheme, • Relocation support, • Access to any resources, equipment and training that you need to do your job in a world-class way #J-18808-Ljbffr

TL;DR: We're looking for a research engineer to build and maintain our internal suite of benchmarks, covering single/multi-turn content and agentic guardrails. The research engineer would also work with the team on projects studying agent behaviours in the wild. White Circle is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. • We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others, • We process over 100M+ API calls every month, • We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built - you’re the one we need. White Circle's fundamental research team works on the science of how AI systems fail in the real world: where agents break, how misalignment actually looks like to the end user, and how it is present in the model internals. We build the evals, benchmarks, environments, and tooling that empirically study high-impact agent reliability concerns - some of which become the guardrails shipped in our products, and some of which become public writeups. Own and maintain our internal benchmark suite, covering single/multi-turn content guardrails and agentic safety. • Build benchmarks that distinguish specific model capabilities., • Work with the product team to build evals covering core functionality of our flagship models., • Build benchmarks for new features coming out of the research team., • Adapt and extend evals to new verticals and changing product data., • Work on research projects that study and quantify realistic agentic and LLM failure modes in the wild., • Have built an LLM benchmark from scratch that distinguished specific model capabilities (i.e., produced a measurable, defensible capability difference, not just a score)., • Have built synthetic data for post-training textual or multimodal models., • Can reproduce a published benchmark result and identify where the original methodology is fragile or misleading., • You write Python that other people can build on. Our whole stack is Python; we want someone who has shipped and maintained production code and who factors messy problems into clean abstractions others can extend., • You can write efficient LLM inference setups, including sensible orchestration of parallel calls, retries, rate-limit handling., • An AI power-user - fluent with frontier models and coding agents day to day., • Automated red-teaming experience, • Have worked across a range of agentic scaffolds and reproduced public benchmark results on them, • Strong knowledge of existing reward-model / monitoring / safety benchmarks, • One or more published papers in the evals / safety-evaluation space, • Competitive compensation, including equity, • Flexible time off, • Office in central London/Paris with flexible hybrid setup, • Relocation support if you’re moving to Paris, available after your probationary period, • Premium private health insurance, • Mental health support, including coverage for therapy when you need it, • Lunch and dinner covered when you work from the office, • Learning and development support for courses, conferences, and opportunities to grow your skills, • All the hardware, subscriptions, tools, and services you need, • Team off-sites twice a year: we’ve recently been to the Alps, Saint-Tropez, and Marbella, • Intro call with Talent, • Test assignment, • Technical interview with Head of Fundamental Research, • Final interview with CEO #J-18808-Ljbffr