Research engineer jobs in United Kingdom

Our client is a global technology company. \n 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 scientifi... \n \n \n ZIPC1_UKTJ

Our client is a global professional services and technology consultancy. Role Description \n This is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer is a production engineer who works embedded inside a client's enterprise, shoulder to shoulder with their teams, to make complex AI platforms work in real, messy organizational envir... \n \n \n ZIPC1_UKTJ

Our client is a global professional services and technology consultancy. \n Role Description \n This is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer is a production engineer who works embedded inside a client's enterprise, shoulder to shoulder with their teams, to make complex AI platforms work in real, messy organizational enviro... \n \n \n ZIPC1_UKTJ

Overview AI is already making a real impact at Chambers and Partners, with solutions running in production across our editorial, research, product and commercial teams. We’re now looking for a Chief AI Engineer to lead our AI engineering function, own the technical direction of AI across the business and shape the next stage of our AI transformation. \n This is a deeply technical leadership role. You’ll be part of the Senior Leadership Team and be the final technical authority on how we build, evaluate, deploy and run AI: the AI architecture, modelling choices, engineering standards and evaluation discipline the team works to. You’ll have taken AI systems end to end many times over, from ideation and discovery through to deployment, monitoring and continuous improvement, and you’ll stay close enough to the code to solve the hardest problems yourself. \n Alongside this, you’ll help set our AI strategy and roadmap, advise our Executive Leadership Team on where AI creates the greatest value, and represent Chambers as a credible voice on AI in the legal market. Around 70% of the role is hands-on technical leadership and delivery; around 30% is strategic. Main Duties and Responsibilities \n Technical leadership and delivery (c.70%) \n\n • Own the end-to-end lifecycle of our AI solutions, from ideation, discovery and scoping through experimentation, production deployment, monitoring and iteration, measuring their impact against agreed business outcomes. \n, • Act as the technical design authority for AI, setting direction across architecture, model selection, data and retrieval strategies, fine-tuning, evaluation and deployment, and making the hard calls on whether to build, buy or not use AI at all. \n, • Stay hands-on: prototype, review code, pair on the hardest problems and personally lead the design of business-critical AI systems. \n, • Design scalable, secure and maintainable AI solutions in partnership with our Technology and Data Platform teams. \n, • Define and own evaluation frameworks for ML, LLM and GenAI outputs, covering accuracy, consistency, bias mitigation and regression testing, so that everything we release meets Chambers’ standards for rigour and independence. \n, • Establish production discipline across MLOps and LLMOps: experiment tracking, model registry, monitoring, drift management, observability and safe, structured and streamlined deployment. \n, • Lead, mentor and develop our AI engineering team, hiring strong engineers, raising the technical bar and creating an environment where people do their best work. Ensure high quality engineering practices, including code review and safe, structured and streamline deployment. \n, • Run delivery across multiple concurrent AI workstreams, managing cross-team dependencies with Product, Research, Commercial, Data and Technology teams. \n\n Strategic leadership (c.30%) \n\n • Shape and own the AI strategy and roadmap with the Chief Data and AI Officer, aligned with Chambers’ business and data strategies. \n, • Act as a senior adviser to the Executive Leadership Team on AI opportunities, risks and trade-offs, translating complex technical choices into clear, commercially grounded decisions. \n, • Establish prioritisation frameworks that balance innovation, research integrity, risk and commercial impact, and identify where AI can power new products, features and services. \n, • Partner with Research leadership to augment expert judgement with AI, improving the consistency, scalability and depth of our research outcomes. \n, • Keep Chambers ahead of developments in AI, evaluate and manage strategic partnerships with AI vendors and platforms, and represent Chambers externally as a credible voice on AI in legal market intelligence. \n\n Why you should apply \n This is a highly technical role with a seat on our senior leadership team. You won’t be advising on AI from the sidelines. You’ll sit alongside the leaders who set the direction of the business, bring a genuine engineering perspective to decisions about where we invest and how we compete, and see those decisions through to delivery. \n Few organisations can offer data like ours. More than 350,000 research interviews and surveys a year, and a deep, proprietary view of the global legal market, create problems that can’t be solved off the shelf. That’s a real chance to build AI that is genuinely differentiated, not a thin layer over someone else’s model, for a professional audience that relies on it being right. \n You’ll have the autonomy to set the standards, build the team and choose the approach, and the backing to make it happen. If you want senior-level influence without giving up the hard technical work, this is the role. \n Skills, Experience & Personal Attributes \n We’re looking for a Chief AI Engineer leader who has come up through data science, machine learning or software engineering and who combines deep modelling expertise with production engineering excellence. You’ll have taken many AI systems from ideation through to production and monitoring, and gone on to lead engineering teams and influence at senior leadership level. You’ll combine deep technical credibility with the gravitas to earn the confidence of engineers and senior leaders alike. \n You’ll bring: \n Essential \n\n • \n Significant experience in senior applied AI, ML or data science leadership roles, with a track record of owning AI end to end (ideation, discovery, experimentation, production deployment, monitoring and iteration) across multiple systems that delivered measurable business outcomes. \n\n\n • \n A data science foundation, applied for outcomes: framing the business question, setting baselines, choosing the right metric and delivering measurable results rather than just models. This comes with statistical rigour: experimental design, sound validation, and an instinct for leakage, bias and overfitting in messy real-world data. \n\n\n • \n Strong ML fundamentals across classical ML and deep learning (pandas, scikit-learn, XGBoost or LightGBM, PyTorch), and the judgement to tell when a language model is the wrong tool. \n\n\n • \n A deep understanding of how modern models are built, not only how they’re used: transformer architectures, pre-training and post-training methods (SFT, RLHF/DPO) and evaluation methodology. You will have fine-tuned models yourself, for example with the Hugging Face ecosystem (Transformers, PEFT/LoRA, TRL), and can explain from first principles why a system fails. \n\n NLP depth on long-form professional text: class

Practice Group / Department: \n Legal Innovation, Design & Technology - London \n Job Description \n \n Norton Rose Fulbright is a global law firm with more than 3,000 lawyers advising clients across locations in the United States, Europe, Canada, Latin America, Asia, Australia, Africa and the Middle East. We provide a full scope of legal services to the world’s preeminent corporations and financial institutions. \n Our vision is to be a world class business, profitable, ambitious, cooperative and considerate, supporting our clients and people through our global business principles of Quality, Unity and Integrity. \n With over 7,000 employees worldwide, our culture is the thread that connects us. Our strategy and culture are closed connected – defined by shared ambition, global collaboration and a one-team mindset. We believe pioneering work happens when people are empowered to think beyond boundaries, explore new opportunities and grow through diverse experiences. Alongside the right skills and experience, we are looking for people who are innovative, commercially minded, and motivated by the impact of the work they do – ready to share in our ambition and help shape what comes next. \n \n Because while individuals can do well, together we achieve something extraordinary. \n \n Role Purpose \n We are building a new R&D capability focused on developing data-driven and AI-enabled solutions for legal services and the wider business of law. \n The AI Engineer will build end-to-end AI capabilities for R&D products: agentic workflows, retrieval and context, agent and evaluation harnesses, and the user-facing features around them. Working with the Head of R&D, you will translate agreed product and technical designs into secure, observable and maintainable products. \n This is a hands-on full-stack AI engineering role, with applied AI product delivery at its core. You will build AI workflows, tools and integrations, evaluation and observability capabilities, together with the APIs, services and user interfaces needed to ship them reliably. \n This is not a research-only role. You will apply agreed enterprise architecture, security and deployment patterns, while taking practical responsibility for code quality, testing, monitoring and troubleshooting with product, data, technology and security teams. \n You will join a small, hands-on multidisciplinary team. Each team member will workcollaboratively across discovery, prototyping, engineering, productionisation and continuous improvement. \n Key Responsibilities \n\n • \n Build complete AI-enabled product features across user interface, backend, AI orchestration, retrieval and approved enterprise integrations. \n\n\n • \n Design and build agentic AI workflows using structured outputs, tool calling, workflow orchestration, document processing, human-review steps and appropriate controls. \n\n\n • \n Build reusable agent harnesses: practical runtime patterns around tools, state, context, approvals, traces and test fixtures that make agents consistent, inspectable and safe to use. \n\n\n • \n Build grounded retrieval and context patterns using approved data products, search indexes, document repositories and permission-aware sources; provide evidence and citations where appropriate. \n\n\n • \n Design and operate evaluation harnesses for AI workflows, including curated test sets, representative scenarios, automated and human grading, regression tests, trace review and user-feedback loops. \n\n\n • \n Manage prompts, model configuration, tool schemas and routing as tested product assets, including fallbacks and cost/latency trade-offs. \n\n\n • \n Implement AI observability through traces, logs, metrics and evaluation results, so quality, reliability, failure modes, latency and cost are visible and can be improved. \n\n\n • \n Build clear APIs and integrate AI products with approved data, document, search and business systems. \n\n\n • \n Build usable interfaces that help users understand AI output, inspect supporting evidence, provide feedback and complete review or approval steps. \n\n\n • \n Write maintainable Python and TypeScript code; use Docker, Git, automated testing and CI/CD to make development, testing and deployment repeatable. \n\n\n • \n Apply agreed security, authentication, data-handling, deployment and release patterns, working with the relevant firm technology teams where needed \n\n Initial Focus \n\n • \n End-to-end agentic AI features and reusable harnesses for Radar and other named R&D products. \n\n\n • \n A practical evaluation and test capability that lets the team compare prompts, models, tools and retrieval approaches before and after release. \n\n\n • \n Grounded AI workflows that combine firm data, documents, market or regulatory information and user context into useful, attributable outputs. \n\n\n • \n Interfaces that make AI output, confidence, evidence, controls and next actions clear to lawyers and business users. \n\n What Success Looks Like \n\n • \n R&D products use AI workflows that are grounded in trusted context, observable in operation and understandable to users. \n\n AI quality is measured rather than assumed; evaluation results, traces and feedback lead to demonstrable improvements in usefulness, reliabili

At Aristocrat, our groundbreaking spirit and relentless pursuit of excellence drive every aspect of our business. As innovators in gaming and technology, we bring fresh thinking and creativity to deliver outstanding experiences daily. We're looking for a Senior Python Engineer – Automation to transform our enterprise organization by automating repetitive processes and advancing our Reporting Center of Excellence standards. What You'll Do\n\n • Develop the complete Life Cycle of Automation Solutions from intake through development, debugging, testing, deployment into production, and documentation, following the Reporting Center of Excellence’s standards and governance.\n, • Review all developed automated solutions with team leader to ensure objectives and guidelines are met.\n, • Build sustainability documentation for each automated process; review other team members' documentation; and contribute to team training and professional development activities.\n, • Run and maintain over 500 existing automation processes to ensure consistent, up-to-date, and accurate operating rhythm.\n, • Lead and coordinate recurring meetings with business collaborators to provide functional and technical expertise in identifying automation opportunities, process improvement, and Automation Governance.\n, • Research and develop code to improve existing automations for better performance and sustainability.\n, • Support the Reporting Center of Excellence in advancing both strategic and tactical implementation of solutions to meet organizational automation objectives.\n, • Direct the creation of Python-based and Agentic AI tools aimed at automating extensive repetitive tasks like combining various data sources, producing reports, and system reconciliation.\n, • Conduct detailed reviews of automation code developed by team members, providing constructive feedback and ensuring adherence to guidelines and organizational standards.\n, • Mentor and guide junior engineers, encouraging skill development in Python, automation frameworks, and problem-solving techniques.\n, • Find opportunities for process improvements and implement solutions to optimize existing automations.\n, • Research and incorporate new Python libraries and AI tools to improve automation capabilities.\n, • Support proof-of-concept developments for evaluating new AI tools and frameworks for automation efficiency.\n, • Perform other related duties as assigned.\nWhat We're Seeking\n\n, • Must have high-level Python skills.\n, • Strong communication skills, able to work independently and in a team-oriented environment.\n, • Experience working with a wide range of data sources, including multiple ERP systems and legacy environments.\n, • Ability to set and accomplish goals.\n, • Outstanding organizational skills.\n, • Excellent interpersonal skills required.\n, • High level of personal and professional accountability, with the ability to enlist the cooperation of peer groups involved in common business goals.\n, • Ability to meet changing demands and adapt to frequently changing priorities.\nQualifications:\n\n, • Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, or similar.\n, • 3+ years of experience in Python Development (or MS in above subjects + 0-2 years experience).\n, • Advanced abilities in Python, Microsoft Office (Excel, PowerPoint, Teams).\n, • Preferred experience (not required): R, SQL, Java, C++, C#, HTML, Selenium, Power Automate and CoPilot, Studio for Agent Building, Snowflake or other Data Warehouses, PowerBI or any other dashboarding tool, IPA, Anaplan (or similar corporate reporting cube environment), Microsoft Dynamics 365 (D365).\nProficiencies:\n\n, • Integrity or equivalent experience\n, • Organization\n, • Decision making\n, • Business insight\n, • Integrity\n, • Authenticity\n, • Leadership\nPersonal Attributes:\n\n, • Effective communicator\n, • Quick learner\n, • Attention to detail\n, • Good teamwork skills with a demonstrated ability to work with diverse teams\n, • High degree of problem-solving, advanced analytical, and critical thinking skills\n, • Self-motivated with a drive to completion/resolution\n\n This job description may have been reviewed and enhanced using AI-assisted tools to improve clarity, consistency, and inclusivity. All final content, role requirements and hiring decisions remain subject to human review and approval by Aristocrat. Compensation Philosophy\n We offer a comprehensive pay and benefits package designed to stay competitive in the market, support your wellbeing, and recognise your contribution to our success. Our approach is underpinned by a pay-for-performance belief in rewarding individual impact. Your specific compensation package will be determined by factors such as your skills, experience, qualifications, and location. \n Depending on your role and location, you may be eligible for annual bonuses and incentives, health and wellbeing benefits, paid time off, retirement plans, insurance coverage, and other local or statutory benefits. \n Specific details about compensation and benefits for this position will be discussed during the recruitment process.

Lead Platform Engineer - Must be DV Clearable - 5 days a week on-site\n Building the platforms that make AI and machine learning work in production \n We're looking for a Lead Platform Engineer to join a growing engineering organisation and play a pivotal role in designing, building, and operating an MLOps platform that enables AI and data science teams to deliver reliably in production. \n This is a senior, hands-on technical leadership role, not a people-management position. You'll lead through technical depth, judgement, and delivery, building the tooling, workflows, and operational foundations that allow data scientists and ML engineers to experiment, deploy, and run ML and LLM-based workloads safely and at scale. \n The focus is not simply on running Kubernetes clusters - it's on layering real MLOps capability on top of Kubernetes to create a platform that is usable, supportable, and trusted in live environments. What you'll be doing\n You'll act as a technical leader across platform engineering, DevOps, and MLOps, remaining deeply involved in implementation. \n You will: \n\n • Provide technical leadership across platform, DevOps, and MLOps activities\n, • Design, build, and operate a Kubernetes-based MLOps platform supporting the full model lifecycle\n, • ImplementandrunMLOps tooling that enables teams to: \n \n, • Experiment with models and notebooks\n, • Package, version, and deploy models\n, • Run scalable inference and LLM-based workloads\n \n, • Build and operate model serving and inference platforms within Kubernetes environments\n, • Work closely with data scientists and ML engineers to ensure the platform is usable, well-documented, and aligned to real workflows\n, • Own platform operability, reliability, security, and supportability in production\n, • Troubleshoot complex issues across Kubernetes, platform services, and MLOps layers\n, • Contribute to architectural decisions while staying hands-on with delivery\n, • Apply pragmatic engineering judgement in environments where AI workloads place real operational demands on infrastructure\n\n \nWhat we're looking for\n This role suits someone who is fundamentally a strong platform engineer, with the depth to apply those skills confidently to MLOps. \n Essential experience: \n\n • Strong background as a Senior or Lead Platform Engineer/DevOps Engineer\n, • Deep, hands-on experience building and operating Kubernetes-based platforms\n, • Strong practical experience with Helm and Infrastructure as Code (eg Terraform)\n, • Proven experience extending Kubernetes with higher-level platforms and services, not treating it as the finished product\n, • Strong understanding of operational fundamentals: monitoring, logging, incident response, reliability, and maintenance\n, • Comfortable working directly with engineers and data scientists to support real production workloads\n\n \nMLOps experience (key to the role)\n You'll work deeply "in the weeds" of MLOps platforms, enabling ML and LLM workloads (not model research). \n Experience in areas such as: \n\n • Building or operating MLOps platforms using tools like Kubeflow or similar frameworks\n, • Running model serving and inference platforms (eg KServe, vLLM, or equivalent)\n, • Supporting LLM-based workloads, including optimisation and serving considerations\n, • Providing notebook-based environments such as JupyterHub in secure platforms\n, • Exposure to emerging tooling such as InstructLab, Trustworthy/Responsible AI tooling, or comparable solutions\n\n \nDesirable experience\n \n \n\n • Building internal platforms specifically for data science and ML teams\n, • Operating AI-enabled or data-driven systems in production\n, • Experience in regulated, security-conscious, or high-assurance environments\n, • Designing platforms that balance user flexibility with governance and control\n\n If you believe Kubernetes is the base, not the product, enjoy operating close to the metal, and like solving hard platform problems that enable others to succeed, this role offers real challenge and impact. If interested, apply now! \n Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.

\n We're looking for a Senior C++ Engineer to join our team in London, United Kingdom in a hybrid working mode. You will be part of a high-performing team developing a global derivatives algorithmic trading platform. This role offers the opportunity to collaborate with technologists, quants, and traders, optimizing proprietary trading technology for market-leading performance and reliability. You will contribute to the full stack, from venue connectivity to trading engines, in an open and collaborative environment. \n Responsibilities \n\n • Develop software that communicates with exchanges via APIs, handling market data and order transmission using protocols such as FIX, Websocket, or HTTP\n, • Ensure software quality by utilizing, maintaining, and extending testing suites\n, • Optimize exchange communication through Kernel bypass and connection handling\n, • Research exchange behavior to align platform operations\n, • Implement solutions using exchange SDKs in C++, Rust, Python, and TypeScript\n, • Implement trading algorithms based on requirements from traders and quants\n, • Translate trading requirements into robust software implementations\n, • Improve stability, reliability, and performance of the trading engine\n, • Enhance monitoring and observability in partnership with Trading Operations\n, • Investigate and resolve production issues, including crashes and performance bottlenecks\n, • Prepare for releases and deployments of new trading engine versions\n\n Requirements \n\n • Minimum 5 years post-graduation professional C++ software development experience in the financial industry\n, • Solid understanding of parallel, asynchronous, and multithreaded programming for distributed systems\n, • Good knowledge of algorithms and data structures\n, • Strong analytical and problem-solving skills\n, • Understanding of trading life cycle, including order capture, execution, allocation workflow, settlement, and compliance\n, • Technical skills in Scripting languages such as Python, PowerShell, C#, SQL\n, • Proven track record in application deployment best practices\n, • Experience in proactive system monitoring and troubleshooting\n\n Nice to have \n\n • Excellent communication skills for interaction with traders, developers, and stakeholders\n, • Ability to thrive in high-pressure trading room environments\n, • Experience working under demanding deadlines with changing priorities\n, • Experience in commodity trading and supply operations, ideally within the energy sector\n\n We offer/Benefits \n\n • EPAM Employee Stock Purchase Plan (ESPP)\n, • Protection benefits including life assurance, income protection and critical illness cover\n, • Private medical insurance and dental care\n, • Employee Assistance Program\n, • Competitive group pension plan\n, • Cyclescheme, Techscheme and season ticket loans\n, • Various perks such as free Wednesday lunch in-office, on-site massages and regular social events\n, • Learning and development opportunities including in-house training and coaching, professional certifications, and courses\n, • If otherwise eligible, participation in the discretionary annual bonus program\n, • If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program\n\n *All benefits and perks are subject to certain eligibility requirements

\n Synapri are working with an exciting Software business operating within the Investment Management space looking for an experienced Senior Backend Engineer to join their growing team on a permanent basis. \n As the company develop a new suite of products, you'll have the opportunity to take the lead on new projects from the earliest stages of research and technical planning through to architecture, development and final deployment. This is a role where you can have a meaningful influence on both the technology and the direction of the products they build. \n Location: Hybrid in central London \n Salary: up to £110,000 (DOE) \n You should have: \n\n • 5+ years of professional experience developing software with Python\n, • Strong experience with Django and modern web application development\n, • A good understanding of the full product development life cycle, from discovery and planning through to deployment and ongoing improvement\n, • Strong software architecture and design skills, with an appreciation for writing clean, maintainable and scalable code\n, • Experience working across different layers of an application, with an interest in infrastructure and cloud technologies\n, • Excellent attention to detail and a commitment to producing high-quality software.\n, • A confident, positive communication style and the ability to collaborate effectively with colleagues across different disciplines.\n\n This role will suit a Python Software Engineer who enjoys working with a small team to solve problems and come up with technical led ideas. Please apply now for immediate consideration and to understand more!

Our client is an AI market research company. Hey! We're an AI market research company Our client is a Y Combinator-backed company in an active growth period. We started this year as a team of ~20 and are on track to reach ~120 people by year end. The people who join now have an outsized chance to shape how this company is built. We raised a $50M Series A led by DST Global, giving us the fuel to move even faster. We're investing in our product, growing an exceptional team, and taking on bigger challenges as we enter our next stage of growth. The engineering team is small and deliberately so. There are no product managers, no designer handoffs, no tickets waiting for someone else to prioritise. Engineers own the full distance from customer problem to working software, and that proximity to the product is exactly what makes this role interesting. You'll report directly to one of our engineering leads, and work incredibly closely with our CTO, Maarten. Dig deeper into our Engineering/Product ways of working here What we're building and why Our client is the AI research platform enabling fast, affordable, and high quality consumer / B2B research. Global brands like Unilever, Google, and Orange use our AI video interviewer to generate insights across marketing, and product teams. Traditional research is slow, expensive, and superficial. Running it well requires expertise most teams don't have. That gap affects how well companies understand their customers and how well they can serve them. We're closing it. What you'll do We need a Senior Product Engineer who works backwards from the experience. This is someone who starts with the user's problem, not a spec, and owns everything between that conversation and the code that ships. You shape what gets built, actively contributing to product direction, influencing what we build and how we build it, with real technical and strategic impact. Own the full stack, from the interface to the infrastructure Build the interface customers open every day and can't imagine working without. React is the core of what customers see and touch — you lead frontend architecture in React and TypeScript, set the quality bar for components, state management, and performance. And you don't stop there. From API design to cloud infrastructure (AWS), you ship complete, polished features end to end, including AI-powered ones built on LLM APIs, prompt engineering, and async pipelines. Be the engineering voice in every customer conversation When a customer has a need, an engineer hears it, interprets it, and solves it. You join customer calls (about once a week), form a clear point of view on what to build, translate feedback into scoped product decisions, and follow through. Use AI throughout You reach for agentic solutions first. You use AI to reason, build, review, and test at every stage and you help raise the bar for how the whole team works. Documentation overhead doesn't slow us down here — AI handles that layer, and you're someone who is happy to work that way. You stay current on what frontier models can do and bring that into what we ship. What you'll bring 6+ years of experience building full-stack applications with TypeScript and Node.js. Strong backend experience: designing APIs, working with PostgreSQL, and managing background jobs and async workflows. Solid frontend skills with React. . Experience with cloud infrastructure (AWS and/or GCP) — you're comfortable with services like S3, media pipelines, and deployment tooling. Experience building AI-driven applications (e.g. prompt engineering, working with LLM APIs, and/or fine-tuning experience are a plus). Can independently lead projects from concept to launch. Excellent written and verbal communication skills in English with a keen eye for detail. A collaborative mindset, able to work autonomously in a small, fast-paced team. Bonus Experience with React Router v7 or Remix. Experience at a small, fast-moving SaaS company where you've been client-facing Exposure to market research or qualitative research tooling. You've shipped agentic AI systems to production and can speak to failure modes, evaluations, and tool design. Why join us? Ship alongside engineers who've built and scaled products used by millions. Work directly with frontier AI models and push what they can actually do. Join a YC-backed team that's growing fast and gives you room to grow with it. Competitive salary and meaningful equity. We want you to own a real piece of what we're building. Offices in London, Antwerp, and New York. We work best together, so we ask for 3 days a week in the office. Regular socials: rooftop drinks, team dinners, run clubs, and more. Twice-yearly off-sites to places worth travelling to. Austria, Las Vegas, and Portugal. Private health coverage with Vitality (incl. dental, vision) Enhanced employer pension contribution (5% employer, 3% employee contribution) Refer someone great and earn up to £5,000. #LI-ML1 Compensation Range: £80K - £125K TPBN1_UKTJ

Robotics Software Engineer - C++ / ROS2 / Linux Are you an experienced Software Engineer with strong expertise in C++ and ROS2, combined with a background in robotics and Linux environments? Are you based in the Cambridge area, or interested in joining one of the UK's leading centres for robotics and technology innovation? If so, our client - an innovative tech-for-good start-up - is looking to hire a Robotics Software Engineer based in Cambridge, UK, supporting operations across both UK and EU teams. Key responsibilities: Design, develop, and test software systems for advanced robotic platforms using C++ & ROS 2. Collaborate with electronics, mechatronics, and research teams within an Agile development environment Test, debug, and validate software performance and reliability Provide on-site support for physical robotic systems, including occasional travel to field locations To be successful, you should have: 3 Years experience in an industry Software Design position. A degree (or Master's) in Software Engineering, Computer Science, or a related discipline Strong commercial experience with C++ (C++14 or later) and Linux Extensive hands-on experience with ROS2 (ROS1 knowledge also beneficial) Experience with robotics software development and integration This role offers a competitive salary and benefits package, alongside the opportunity to join a pioneering technology company with excellent career progression and profit-share potential. To apply for this Robotics Software Engineer - C++ / ROS2 opportunity, please send your CV to or call 01582 878828 TPBN1_UKTJ

Electronics Design Engineer – Analogue/Mixed Signal/RF Location: Central London – Hybrid Salary: Competitive, dependent on experience Industry: Quantum Computing / Photonics / Advanced Technology An exciting opportunity for an experienced Electronics Design Engineer to work on cutting-edge technology at the forefront of quantum computing, photonics and next-generation computing systems. Our client is an innovative, rapidly developing technology company designing and manufacturing advanced photonic computing systems. Their technology combines precision electronics, optics and sophisticated control systems to deliver commercially deployed quantum computing solutions. They are looking for a talented, hands-on Electronics Engineer who enjoys solving complex engineering challenges and wants to see their designs become part of real, working systems. This is an opportunity to take ownership of electronic hardware development, working alongside highly skilled physicists, optical engineers and software developers in a collaborative R&D environment. The Role You will be involved in the complete electronics development lifecycle, from initial concept and circuit design through to PCB development, prototyping, testing and integration. Responsibilities will include: Designing analogue and mixed-signal electronic circuits, including signal conditioning, low-noise amplification and ADC/DAC interfaces Developing electronic control and interface circuitry for advanced optical systems Taking ownership of schematic capture, PCB design, prototyping and hardware verification Testing and debugging electronic circuits using oscilloscopes, spectrum analysers and other laboratory equipment Collaborating with optics, physics, embedded software and systems engineering teams Supporting hardware integration, troubleshooting and continuous product improvement Contributing to design reviews, technical documentation and EMC considerations About You We are particularly interested in experienced Electronics Engineers with a strong practical background in analogue, mixed-signal or RF circuit design. Ideally, you will offer: A degree in Electronics, Electrical Engineering, Physics or a related discipline Several years' commercial experience designing electronic hardware, ideally with the confidence to work independently Strong analogue, mixed-signal or RF electronics experience Experience designing PCBs, including schematic capture and layout A sound understanding of signal integrity, noise, filtering and electronic measurement techniques Practical experience building, testing and debugging electronic hardware Familiarity with embedded systems, microcontrollers or digital interfaces Experience in scientific instrumentation, RF/microwave systems, photonics, lasers, medical devices, semiconductor equipment or other advanced R&D environments would be particularly relevant. Previous quantum computing experience is not required. Why Consider This Opportunity? This is an opportunity to move beyond conventional electronics development and contribute to a rapidly evolving field of technology. You'll be working on genuinely innovative hardware, tackling interesting technical challenges and collaborating with specialists across electronics, optics, physics and software. Unlike purely research-focused positions, the technology is already being deployed commercially, offering the satisfaction of seeing your engineering work contribute to real-world systems. If you're an experienced Electronics Engineer looking for a technically challenging position where your work can make a genuine impact, we'd be very interested in hearing from you

FPGA Engineer – Digital Control Systems Location: Central London (Hybrid) Salary: Competitive, dependent on experience Job Type: Permanent, Full Time We are recruiting for an exciting opportunity with an innovative technology company developing next-generation quantum computing systems. Our client is seeking an experienced FPGA Engineer to join its R&D team, developing high-performance digital control hardware for advanced photonic computing systems. Working alongside electronics engineers, physicists and software developers, you will take responsibility for FPGA development, from initial architecture and RTL design through to implementation, testing and validation. Key Responsibilities Design and develop FPGA-based digital control systems. Develop RTL using Verilog, SystemVerilog or VHDL. Undertake simulation, synthesis, timing analysis and verification. Develop high-speed, low-latency digital control and signal processing systems. Work with ADCs, DACs and high-speed digital interfaces. Collaborate with electronics engineers on FPGA hardware integration and PCB development. Undertake FPGA bring-up, debugging and hardware validation. Skills and Experience Degree in Electronic Engineering, Computer Engineering, Physics or a related discipline. Strong FPGA development experience using Verilog, SystemVerilog or VHDL. Experience of RTL design, simulation, synthesis and timing closure. Good understanding of FPGA architectures, clock domain crossing and digital signal processing. Experience implementing and testing FPGA designs on physical hardware. Familiarity with FPGA development tools such as Xilinx Vivado or Intel Quartus. Desirable Experience High-speed ADC/DAC interfacing and waveform generation. Deterministic, low-latency control systems. Scientific instrumentation, photonics, telecommunications or aerospace electronics. Custom PCB development and hardware bring-up. Formal verification, SystemVerilog testbenches or HLS. A background in quantum computing is not required. Candidates with relevant PhD or postdoctoral research experience involving substantial practical FPGA development are also encouraged to apply. This is an excellent opportunity to work on cutting-edge technology, developing sophisticated hardware within a multidisciplinary engineering team. If you're an FPGA Engineer looking for a technically challenging position with significant responsibility and the opportunity to contribute to next-generation computing technology, we'd be delighted to hear from you

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

Our client is a UK digital technology and software consultancy. Join our client and Shape the Future We're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we're transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together. We believe in a people-first culture , where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you'll be part of a diverse, ambitious team that celebrates creativity and collaboration. Ready to make your mark? Join us and be part of something bigger. J OB P ROFILE DESCRIPTION OUR CLIENT is recognised as one of the UK's leading AI and data businesses, with a decade-long track record of delivering impactful, production-grade AI solutions for clients across government, healthcare, defence, and commercial sectors. Our client is at the forefront of AI innovation, trusted by Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber Security Code of Practice implementation guide and we partner with leading organisations to ensure AI is deployed ethically, securely and with measurable business value. Our teams are at the cutting edge of AI research, and delivery, it is truly an exciting team to join our client as we further grow our AI capability. M AIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS : As a Lead AI Engineer at our client, you will architect, design, and deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role will involve hands-on technical leadership, collaborating with customers to translate business challenges into trustworthy AI solutions and ensuring responsible AI practices throughout. As a technical mentor, you will foster a culture of innovation, continuous learning, and engineering excellence. It is a fast-paced environment, so it is important for you to make sound, reasoned decisions. You will do this whilst learning about new technologies and approaches, with talented colleagues that will help you to develop and grow. You will manage, coach, and develop a small number of staff, with a focus on managing employee performance and assisting in their career development. You will also provide direction and leadership for your team as you solve challenging problems together. M INIMUM ( ESSENTIAL ) REQUIREMENTS : A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection). Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc). Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data. Understanding of responsible AI principles, model interpretability, and ethical considerations. Strong interpersonal skills with the ability to lead client projects and establish requirements in non-technical language. We are passionate about developing people, you will bring experience in managing, coaching, and developing junior members of a team and wider community. D ESIRABLE : Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g, GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. Contributions to open-source AI projects or research publications. Familiarity with AI security, privacy, and compliance standards e.g. ISO42001. Embracing our differences We believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs. TPBN1_UKTJ

YOU ARE As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems. THE WORK Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools Justify the value of model approaches in business problems Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production EDUCATION • Bachelor's Degree or equivalent BASIC (REQUIRED) QUALIFICATION Proven experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing. Considerable experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks experience in building and deploying AI/ML based software to a cloud environment. PREFERRED QUALIFICATION Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).. Experience working with language models like LLM's APIs and optimizing their usage for specific applications. Experience with the following programming languages: Python, C++, Java, R, SQL Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders Strong client-facing skillsets in a consulting environment Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation MS or PhD in related field preferred (computer science, engineering, etc.)

Job ID: 11756Location: London, England, GBType: PermanentSalary: USD excellent salary, bonus, full bens per yearPosted: 2026-10-29Senior Forward Deployed EngineerLLM, RAG, Agentic AI and Prompt Engineering | Permanent | Remote first, UKA fast-growing, engineering-led AI consultancy is hiring Lead and Senior Forward Deployed Engineers on a remote-first basis across the UK. You will lead the design and delivery of complex client engagements spanning agentic systems, retrieval architectures and semantic layers, working directly inside enterprise client teams.Client demand for AI-led transformation is accelerating and our client is expanding its permanent engineering team across agentic systems, retrieval, ontologies and AI-enabled operations. As a Forward Deployed Engineer, you will work closely with the client, in their workshops and inside their systems, turning real operational problems into working AI solutions.These are senior, hands-on consulting roles that combine deep engineering craft with commercial and product thinking. You will work with senior client stakeholders alongside consulting and delivery colleagues, and lead technical design on your engagements. Prompt design, evaluation and guardrails are central to how you build, so the agents you ship are safe, reliable and measurable once they are live.You will shape both client outcomes and the firm’s long-term AI engineering capability, while staying hands-on in the code.What you’ll doEmbedded client delivery and technical leadershipLead technical design within client engagements and set architectural direction across delivery teamsWork alongside client teams, remotely and on occasional site visits, to understand their workflows, data and constraints first handTurn ambiguous client problems into clear, feasible engineering approaches and fast prototypes for client validationAssess client data, platforms, security constraints and operating modelsContribute to framing, use-case shaping and technical scoping discussionsWork with client domain experts to surface edge cases and operational realitiesProduce clear, lightweight technical artefacts for client and internal audiencesAct as the trusted technical voice on the engagement, from first workshop to go-liveAgentic AI, LLM and RAG engineeringDesign and build LLM applications using modern orchestration patterns, prompt frameworks and evaluation loopsBuild multi-agent architectures covering planning, delegation, tool use, memory, safety constraints and monitoringBuild retrieval and vector-based systems: embeddings, RAG, structured reasoning and semantic workflowsConnect agents to enterprise platforms through APIs, tools, MCP servers and connectorsApply ontologies or knowledge graphs where they improve reasoning and data alignmentPrompt engineering and evaluationDesign, test and version system prompts, tool descriptions and agent instructionsBuild reusable prompt libraries and patterns that hold up across clients and use casesCreate evaluation sets and automated eval loops to measure accuracy, safety and consistencyImplement guardrails, structured outputs and explainability checksDiagnose and fix failure modes such as hallucination, tool misuse and prompt injectionDelivery excellence, AI operations and reliabilityImplement evaluation frameworks and safety checks across models and agentsDesign monitoring, logging, tracing and incident-response patterns for live agentsApply governance, risk and compliance principles within client environmentsSupport releases, environments and handover into client operationsEnsure reliability, reproducibility, performance and cost controlBuilding team capabilityTurn field learnings into reusable agent patterns, templates and acceleratorsFeed client insight back into the wider engineering team and its standardsCoach peers and share new research, tools and techniquesWhat you’ll bringEssential6 to 8 years in software engineering, AI engineering or applied data engineeringStrong hands-on experience with LLMs, embeddings, RAG, retrieval stacks and vector databasesExperience designing or implementing multi-agent systems or tool-calling frameworksStrong prompt engineering skills, including system prompt design, tool use and structured outputsExperience building evaluation frameworks for LLM or agent behaviourStrong Python, with experience building production-grade systemsAt least one major cloud AI ecosystem: Azure OpenAI, Google Vertex AI, AWS Bedrock or AnthropicFamiliarity with semantic modelling, ontologies or knowledge graph conceptsProven ability to rapidly prototype solutions for client validationExperience working directly with clients in consulting or professional servicesDesirablePrevious forward deployed, solutions engineering or technical leadership experienceCommercial awareness and product thinking, including scoping and estimating technical workAgent frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel or the OpenAI and Anthropic agent SDKsLLM evaluation and observability tools such as Langfuse, LangSmith, Arize or BraintrustDeeper ontology or knowledge graph expertiseDomain experience in life sciences, pharma or healthcare, FMCG or retail, insurance, or banking and financial servicesStrong engineers from non-AI backgrounds who have moved quickly into agentic AI and can show what they have built are very welcome.

Job-ID: 45216Category: ProcessLocation: United KingdomSchedule: Full timePosted: 2026-10-26As a CFD Engineer, you will deliver hands-on computational fluid dynamics (CFD) analysis for separation and produced-water treatment equipment, supporting equipment performance, engineering projects and research and development.You will plan and execute CFD work, assess modelling results and provide practical recommendations while collaborating with process, mechanical, design and project engineers.The preferred location is Frimley, with Aberdeen and Orkney also considered. This is a hybrid position requiring at least two office days per week, usually three.The position is based onsite five days per week and works within the local business unit.Why Join NOV?Apply your CFD expertise across international engineering projects and emerging technologies, including sustainable aviation fuels. You will have opportunities to connect numerical modelling with pilot-scale physical testing and develop NOV-specific knowledge through coaching and mentoring.Diversity & InclusionAt NOV, we are committed to creating an inclusive workplace where everyone can thrive. We value diversity in all its forms and believe different perspectives strengthen our teams, drive innovation, and contribute to our success. We welcome applications from all qualified candidates regardless of gender, age, ethnicity, nationality, disability, sexual orientation, gender identity, religion, or any other characteristic protected by applicable law.QualificationsEssential QualificationsDegree in Mechanical Engineering, Chemical/Process Engineering, Aeronautical Engineering, Fluid Dynamics or a closely related engineering discipline.Practical experience applying CFD to engineering projects, with strong fluid mechanics and numerical analysis fundamentals.Hands-on experience using one or more recognised commercial CFD model, such as Siemens STAR-CCM+ or ANSYS FluentGood understanding of multiphase flow modelling and the ability to assess assumptions and numerical results critically.Ability to independently plan and deliver CFD work, manage priorities and communicate practical technical recommendations.Clear technical reporting and communication skills, with the ability to collaborate across engineering disciplines.Preferred QualificationsExperience delivering complex CFD work independently; approximately three to four years of postgraduate experience is indicative, not a strict threshold.Master’s degree, chartered engineer status or membership of an appropriate professional body.Experience in separation or produced-water equipment, Lagrangian particle tracking, FEA, process guarantees, R&D or physical-test correlation.ResponsibilitiesPlan and deliver CFD analysis for engineering projects, technology development and R&D, focusing on multiphase fluid flow.Model separation and produced-water equipment, including vessel internals, flow distribution, residence time, pressure loss and separation performance.Select appropriate physical models, boundary conditions, mesh strategies and convergence criteria for technically sound analyses.Evaluate the quality, sensitivity and limitations of simulation results and translate findings into practical engineering recommendations.Support equipment design, optimisation, performance verification and technical evidence for process guarantees.Work with process, mechanical, design and project engineers to define analysis requirements and resolve technical challenges.Prepare technical reports and present CFD findings to internal teams and external customers.Manage assigned CFD activities and priorities, communicating technical and delivery risks in a timely manner.Contribute to R&D, modelling-method improvements and comparisons between CFD predictions and pilot-scale physical testing.About the companyEvery day, the oil and gas industry’s best minds put more than 150 years of experience to work to help our customers achieve lasting success.We Power the Industry that Powers the WorldThroughout every region in the world and across every area of drilling and production, our family of companies has provided the technical expertise, advanced equipment, and operational support necessary for success—now and in the future.Global FamilyWe are a global family of thousands of individuals, working as one team to create a lasting impact for ourselves, our customers, and the communities where we live and work. Purposeful InnovationThrough purposeful business innovation, product creation, and service delivery, we are driven to power the industry that powers the world better.Service Above AllThis drives us to anticipate our customers’ needs and work with them to deliver the finest products and services on time and on budget.

This is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer is a production engineer who works embedded inside a client's enterprise, shoulder to shoulder with their teams, to make complex AI platforms work in real, messy organizational environments. You own outcomes: time-to-value, adoption, reliability, and scalability. Not delivery milestones. Outcomes. The market is beginning to understand what leading technology companies have demonstrated: AI products fail not because the models are weak but because deployment is broken. The gap between a successful AI pilot and an AI capability that scales is bridged by engineers who can translate platform capability into measurable business value inside a real enterprise environment. That is this role. Forward Deployed AI Engineers form the execution spine of our Reinvention Deployment Engineering pods. We are building the largest FDE capability in the services industry. The engineers who join at this stage will define what the role looks like at scale and will have access to the hardest enterprise AI problems in the market across every industry. Key ResponsibilitiesLead enterprise AI platform deployments across complex multi-stakeholder client environments — Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir — owning the full programme from architecture through adoption Own programme-level delivery outcomes: time-to-value, reliability, adoption velocity, and scalability across multiple concurrent workstreams, with commercial metrics attached Lead rapid experimentation at pace: drive ambiguous business problems to working production systems in days or weeks across complex enterprise environments Architect and govern enterprise AI solutions across the full technology stack: identity, data, security, governance, platform layer, and multi-system workflow integration at programme scale Shape AI reinvention strategy for client CTO, CFO, and CISO: build value architecture, ROI backlogs, use case prioritisation frameworks, and multi-year AI adoption roadmaps Define and publish reusable reinvention blueprints, patterns, and accelerators that scale across multiple client engagements and grow the FDE practice Lead architecture design sessions, executive workshops, and code-with sessions with client engineering and C-suite leadership teams Codify delivery learnings, failure patterns, and engineering standards that shape the FDE practice and enable the next generation of forward deployed engineers Engineering experience with cloud-native systems (APIs, microservices, containerization, serverless). Deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments. Experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines. Experience leading software engineering teams: overseeing delivery, allocating resources across workstreams, and owning the professional development of direct reports" Demonstrated end-to-end delivery ownership in a client-embedded environment, internal projects, vendor labs, or team-only deployments do not qualify Proven ability to articulate business value: can quantify the impact of deployments in terms a CFO would recognize and act on Experience presenting to and building trust with senior client stakeholders, CTO, CFO, or CISO level Non-linear profiles are expected and welcomed, assessment is based on demonstrated deployment experience and outcome ownership, not CV pattern matching People lead responsibilities: experience managing, developing, and performance-managing a team of engineers; setting individual development plans and conducting career conversations # LI-MP

Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.About the team Our National Security and AI Safety business unit is dedicated to advancing the responsible development and deployment of AI in support of national security and global stability. From strengthening mission-critical capabilities across national security and intelligence, to working with frontier labs to provide robust AI safety red teaming and evaluation, we work at the frontier of high-stakes, high-impact missions. We understand that powerful AI systems bring both transformative opportunities and complex risks and we are proud to partner with Government and the biggest tech organisations in the world to ensure AI is not just transformative but is also secure, trustworthy and safe for all.Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Developed Vetting (DV) and willing to work on site with our clients from time to time.About the roleJoin us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse clients.You will be instrumental in bringing machine learning out of the lab and into the real world, contributing to scalable software architecture and defining best practices. Working with clients, and cross-functional teams, you'll ensure technical feasibility and timely delivery of high-quality, production-grade ML systems. What you'll be doing:Building and deploying production-grade ML software, tools, and infrastructure.Creating reusable, scalable solutions that accelerate the delivery of ML systems.Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges.Leading technical scoping and architectural decisions to ensure project feasibility and impact.Defining and implementing Faculty’s standards for deploying machine learning at scale.Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders.Who we're looking for:You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch.You possess strong Python skills and solid experience in software engineering best practices.You bring hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture and security.You've worked with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scaleYou are comfortable with core ML concepts, including probability, statistics, and common learning techniques.You're an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders.You thrive in a fast-paced environment, and enjoy the autonomy to own scope, solve and delivery solutionsOur Interview ProcessTalent Team Screen (30 minutes)Pair Programming Interview (90 minutes) System Design Interview (90 minutes) Commercial Interview (60 minutes)#LI-PRIOOur Recruitment EthosWe aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours. A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.LocationLondonAddressLondon, LondonEmployment TypeFull timeLocation TypeHybridDepartmentEngineeringNational Security & Safety

Job ID: 379342Location: LondonType: Full TimeSalary: 65000 - 75000 per annumPosted: 2026-10-29Senior AI EngineerLocation: Remote (UK) or Hybrid – London (1 days per week in the office if London-based)Salary:65,000 – 75,000 + Excellent BenefitsJob Type: PermanentPlease note: Applicants must have the right to work in the UK. Unfortunately, visa sponsorship is not available for this position.The OpportunityWe’re looking for a Senior AI Engineer to join a growing AI and Data Engineering function responsible for designing, building and scaling enterprise-grade AI platforms. This is an exciting opportunity to work on cutting-edge Artificial Intelligence, Machine Learning and Large Language Model (LLM) initiatives, helping to transform innovative AI research into secure, scalable production systems. The role is open to candidates across the UK, with fully remote working available. For those based near London, there is the option to work hybrid (2 days per week in the office). You’ll work alongside Data Scientists, Software Engineers and Product teams, taking ownership of complex AI services, data pipelines and cloud-native architectures that power intelligent products used at scale.The RoleAs a Senior AI Engineer, you’ll play a key role in designing, architecting and delivering AI infrastructure with a high degree of autonomy. You’ll help bridge the gap between research and production by developing scalable services, engineering robust data pipelines and implementing best practices across modern AI engineering. You’ll also provide technical leadership within your squad, mentoring engineers and influencing engineering standards across the wider technology organisation.Key ResponsibilitiesDesign, build and maintain scalable AI data pipelines and processing workflows.Architect cloud-native backend systems and distributed AI services.Collaborate closely with Data Scientists to productionise Machine Learning and NLP models.Develop high-performance RESTful APIs and microservices for AI model serving.Drive system reliability, monitoring, observability and performance optimisation.Champion engineering best practices including CI/CD, automated testing and Infrastructure as Code.Improve integration, interoperability and data exchange across enterprise platforms.Translate complex technical requirements into scalable engineering solutions.Mentor junior engineers and provide technical leadership across projects.Contribute to architecture decisions, engineering standards and long-term technology strategy.About YouYou’ll be an experienced Software, Data or AI Engineer with a passion for building scalable AI solutions and solving complex engineering challenges. You’ll ideally have:A degree in Computer Science, Software Engineering, Artificial Intelligence or a related discipline.5+ years’ commercial experience in AI Engineering, Machine Learning Engineering, Backend Engineering or Data Engineering.Expert-level Python development experience.Experience productionising Machine Learning, NLP or Generative AI models.Strong experience designing and building RESTful APIs and microservices using frameworks such as FastAPI, Flask or Django.Strong SQL skills with experience designing performant relational database solutions.Commercial experience with AWS and/or Azure cloud platforms.Experience designing distributed systems and scalable architectures.Experience with Docker, Kubernetes and containerised deployments.Strong understanding of CI/CD pipelines, automated testing and engineering best practices.Excellent communication skills with experience mentoring engineers and collaborating across cross-functional teams.Desirable ExperienceExperience with any of the following would be highly advantageous:Large Language Models (LLMs)Amazon BedrockAzure AI FoundryPyTorchFastAPIKnowledge GraphsKubernetesDockerInfrastructure as CodeMLOpsEvent-Driven ArchitectureVector DatabasesRetrieval-Augmented Generation (RAG)Technology StackPythonSQLFastAPIPyTorchDockerKubernetesAWSAzureGitCI/CDKnowledge GraphsAI / Large Language Models (LLMs)Amazon BedrockAzure AI FoundryWhat’s on Offer65,000 – 75,000 salaryRemote-first role with flexibility to work anywhere in the UKOptional hybrid working from the London office (2 days per week)Annual bonusPrivate healthcarePension scheme25+ days annual leave plus bank holidaysLearning and development budgetCareer progression within a growing AI Engineering functionOpportunity to work on enterprise-scale AI, Machine Learning and Generative AI initiatives using the latest technologiesCollaborative engineering culture focused on innovation, knowledge sharing and continuous improvementEligibilityApplicants must have the right to work in the UK. Unfortunately, visa sponsorship is not available, so we are unable to consider candidates requiring current or future sponsorship. If you’re passionate about building production-grade AI platforms and want to work on cutting-edge AI solutions with the flexibility of remote working, we’d love to hear from you.

ABOUT USAt OakNorth, we're on a mission to empower ambitious businesses and the communities they serve. Since 2015, we've lent over $21 billion across the UK and US, helped create more than 58,000 new homes and 36,000 new jobs, and supported hundreds of thousands of personal savers — all while driving economic growth in the markets we serve.About the teamPersonal Savings and Wealth exists to make saving simple, personal and rewarding, helping families build financial confidence from everyday savings to long-term plans.We own the full product lifecycle, from spotting customer needs and shaping propositions through to design, build, launch and growth. That means the end-to-end experience across mobile and web, the secure, resilient systems behind it (money movement, identity and customer servicing), and working closely with marketing, operations and commercial teams to take products to market and measure what lands. We’re constantly improving our core savings products while bringing new ones to life, combining thoughtful design, strong engineering and a sharp commercial focus. The roleLead multiple AI-native pods while staying hands-on: coding, reviewing and pairing.Manage stakeholders at every level, from product and commercial to risk and senior leadership, setting expectations and negotiating trade-offs.Turn customer and business needs into products that land, bringing stakeholders with you from idea to launch.Own technical delivery and measure success by business impact, not lines of code.Design simple, resilient, scalable event-driven systems: you build it, you run it.Break complex problems into incremental, shippable steps with clear domain boundaries.Shape platform-wide architecture with an eye on wider business impact.Coach and mentor engineers by example.Use GenAI to move faster and decide better and help set the direction for how it’s embedded across the organisation.TechnologyWe're pragmatic about our technology choices. These are some of the things we use now:Python, NodeJSTypeScript, React, styled componentsPostgreSQL, BigQuery, MySQLJest, React Testing Library, Cypress, pytestAWS, GCPDocker, Terraform, GitHub, CircleCIHow we expect you to workWe expect you to work in these ways, as well as encouraging and enabling these practices from others:Collaborate - We work in cross-functional, mission driven, autonomous squads that gel over time. We pair program to work better through shared experience and knowledge.Focus on outcomes over outputs - Solving a problem for users that translates to business results is our goal. Measurements focused on that goal help us to understand if we are succeeding.Practice continuous improvement - We optimise for feedback now, rather than presume what might be needed in the future and introduce complexity before it will be used. This means we learn faster. We share learnings in blame-free formats, so that we do not repeat things that have failed, but still have confidence to innovate.Seek to understand our users - We constantly seek understanding from data and conversations to better serve our users' needs, taking an active part in research to hear from them directly and regularly.Embrace and enable continuous deployment - Seamless delivery of changes into an environment - without manual intervention - is essential for us to ensure that we are highly productive; consider resiliency; and practice security by design.Test outside-in, test first - TDD keeps us confident in moving fast and deploying regularly. We want to solve user problems, and so we test with that mindset - writing scenarios first, then considering our solution; coupling tests to behaviour, rather than implementation.You build it, you run it - We embrace DevOps culture and end-to-end ownership of products and features. Every engineer, regardless of their role, can lead delivery of features from start to finish.Be cloud native - We leverage automation and hosted services to deliver resilient, secure services quickly and consistently.How we expect you to behaveWe embrace difference and know that when we can be ourselves at work, we are happier, more motivated, and creative. We want to be able to bring our whole selves to work, have our own perspectives and know that we belong. As such, through your behaviours at work, we expect you to reflect and actively sustain a healthy engineering environment that looks like this:A wide range of voices heard to the benefit of allTeams that are clearly happy, engaged, and laugh togetherPerceivable safety to have an opinion or ask a questionNo egos - people listen to and learn from others at all levels, with strong opinions held looselyBenefits & Perks25 days holidayPersonalised benefits — opt-in to what matters to youSubsidised Private Medical Insurance with BupaEnhanced maternity and paternity leaveWellbeing and social eventsIn-house Barista Bar — London officeVolunteering time off — support causes that matter to youSalary sacrifice schemes — cycle to work, nursery, gym, electric car schemeLocationLondonEmployment TypeFull timeLocation TypeHybridDepartmentEngineering

Vacancy detailSenior Full Stack Engineer 550 GBPHybrid WORKINGLocation: Holborn, Central London, Greater London – United Kingdom Type: ContractWe're looking for an experienced Senior Full Stack Engineer to join a high-profile programme within a heavily regulated organisation. This is a hands-on development role where you'll be building and enhancing modern applications while working within established engineering standards and delivery processes.Rate: Outside IR35 Remote: HolbornWhat You'll NeedStrong commercial experience with Python development.Excellent knowledge of FastAPI, including API design, middleware and asynchronous programming.Experience using Pydantic for data validation and API modelling.Experience with Alembic (or similar schema migration tools).Strong PostgreSQL skills, including data modelling, query optimisation and database migrations.Experience with React and TypeScript to support front-end feature development.Good understanding of authentication and authorisation, including SSO, JWT and role-based access control (RBAC).Experience writing automated tests using pytest and JavaScript testing frameworks.Strong knowledge of Git and GitHub, including branching strategies, pull requests, code reviews and CI pipelines.Hands-on experience using Claude Code (or a similar AI coding assistant) as part of your day-to-day development workflow.Ability to critically review AI-generated code before submitting pull requests.Strong secure coding practices, including secrets management and resolving security vulnerabilities.Experience collaborating asynchronously within established engineering standards and code review processes.Desirable ExperiencePingFederate.Rules or workflow engine development.Concurrency, locking, idempotency and audit logging.Microsoft Azure, particularly App Service, Key Vault, Managed Identity and Application Insights.Advanced use of Claude Code, including custom skills, sub-agents and agent configuration.Experience using GitHub Copilot for code reviews.Knowledge of WCAG 2.1 AA accessibility standards and enterprise design systems.Experience with Vite and the npm ecosystem.Previous experience delivering software within regulated enterprise environments such as pharmaceuticals, healthcare or financial services.Reference: AMC|CLI|SFSEPostcode: EC#coliApply for this vacancyYour CV will be sent to the selected department. At no time will your CV be sent outside of Anson McCade without your authorisation.Mandatory field.Your nameYour surnameYour email addressI confirm I currently have the right to take full time employment at the location for which I am submitting my CVPlease state the locations where you currently have the right to take full time employmentAttach a file (Word or PDF only accepted)MessagePrior to submission of this form, the user acknowledges and accepts Anson McCade's Terms and Conditions of Use + Privacy Policy + Data Protection Compliance Statement* I acknowledge and accept TrustpilotOur OfficesVacancy searchSearch all the vacancies on Anson McCade Select a Practice Area Quantitative Research, Trading & Risk Digital + Analytics Information Technology + Cyber Security Business Change and Transformation + Strategy IT / Software Sales Internal Positions at Anson McCade

Vacancy detailSenior Java Engineer (60,000 - 80,000 GBPBonus, Pension, BenefitsRemote WORKING Type: PermanentSenior Java EngineerPayments TechnologyLocation: UK Wide or Dublin / Primarily Remote WorkingSalary: Up to 80,000About the RoleWe're working with a leading global consultancy seeking experienced Senior Java Engineers to join a specialist payments engineering team delivering large-scale transformation programmes across the banking sector.This is an opportunity to work on complex payment processing platforms for major financial institutions, helping modernise critical systems through cloud technologies, modern engineering practices and advanced payments frameworks. Teams have supported leading banking organisations across the European market.What You'll Be DoingDeveloping and enhancing enterprise-scale payment processing solutions.Building cloud-native applications using Java, Spring Boot and microservices architectures.Working within AWS environments to deliver resilient and scalable platforms.Supporting the implementation of modern payment solutions and integrations.Developing event-driven services using messaging technologies such as Kafka.Collaborating with architects, engineers and stakeholders throughout the delivery lifecycle.Working closely with banking clients on critical transformation initiatives.What We're Looking ForStrong commercial experience with Java development.Expertise in Spring Boot and microservices-based architectures.Experience working within AWS cloud environments.Knowledge of Apache Kafka and asynchronous messaging solutions.Strong understanding of ISO 20022 payments standards.Hands-on experience with the ICON IPF framework.Experience working with major banking or financial services organisations.Strong communication and stakeholder management skills.Why Join?Competitive Salary PackagePrimarily Remote Working ModelExposure to Major Banking Transformation ProgrammesWork with Specialist Payments TechnologyStrong Career Development OpportunitiesCollaborative Engineering Environment30 Days Annual Leave (UK)Opportunity to Work Across UK and European Financial Services ProgrammesTo find out more about this opportunity, contact Daire McIlhatton at Anson McCade Recruitment.Reference: AMC/DMI/SJE#damcApply for this vacancyYour CV will be sent to the selected department. At no time will your CV be sent outside of Anson McCade without your authorisation.Mandatory field.Your nameYour surnameYour email addressI confirm I currently have the right to take full time employment at the location for which I am submitting my CVPlease state the locations where you currently have the right to take full time employmentAttach a file (Word or PDF only accepted)MessagePrior to submission of this form, the user acknowledges and accepts Anson McCade's Terms and Conditions of Use + Privacy Policy + Data Protection Compliance Statement* I acknowledge and accept TrustpilotOur OfficesVacancy searchSearch all the vacancies on Anson McCade Select a Practice Area Quantitative Research, Trading & Risk Digital + Analytics Information Technology + Cyber Security Business Change and Transformation + Strategy IT / Software Sales Internal Positions at Anson McCade

Splunk - a Cisco company, provides the Unified Security and Observability Platform. The world’s leading organisations trust Splunk to go from insight to action fast and at scale; organisations such as McLaren, Heineken, and Tesco are turning data into action with Splunk.Join us as we pursue our innovative vision to make machine data accessible, usable and valuable to everyone. Our company is filled with people passionate about our solutions and seeking to deliver the best experience and outcomes for our customers. At Splunk, we’re committed to our work, customers, having fun and, most importantly, to each other’s success.This is an opportunity to work at a company that is changing how information supports business decisions and makes the world a more digitally resilient place. Splunk seeks a highly motivated, outcome-focused individual to join our Solutions Engineering team as a Solutions Engineer (SE). As a Splunk SE, you’ll be a technical sales resource for the UK Commercial Sales team supporting our clients in the UK. You will be the authority regarding the technical aspects of solutions and how they integrate within our clients' workflow and tooling.Solutions Engineers must be comfortable building rapport with their client’s technical staff, serving as a trusted adviser within the accounts that they support. To this extent, communication is key; your ability to communicate well and engage with the right people in the right way in a timely manner is essential to this role. The SE develops and owns technical proof activities to drive new and expansion opportunities, increase product usage, and generate new sales pipeline through workshops, office hours, and Q&A sessions. In addition to providing technical guidance, Splunk SEs understand their clients' businesses well and can tailor their solution positioning to both a business and technicalaudience.Responsibilities; I want to and can do these:Establish and own strong technical relationships within the territories yousupport.Own achieving the ‘technical win’; moving opportunities from qualification to technical validation and into business validation.Develop technical activity plans to help the customer technically validate the Splunk products and services and achieve meaningful value outcomes post-sale.Partner with the Regional Sales Manager in in-person and remote meetings with customers to discover customers’ needs and how Splunk can meet those needs.Support our clients through the buying process by running presentations, demonstrations, workshops and answering technical questions to validate Splunk as the right solution.Scope and run Proof of Concepts with clients to agreed success criteria and timelines.Ensure your knowledge and skills of Splunk solutions are up to date.Maintain timely updates on the state of your opportunities in Salesforce.Attributes; this is who I am:Self-motivated; to research and learn to fill gaps in knowledge and provide the best buying experience to our clients.Innovative; in finding solutions to customer needs, proving integrations, and developing workshops and demonstrations.Passionate; in solving meaningful problems with data.Disruptive; work closely with the SE team and SE management to challenge,Develop and continually improve working practices and processes.Curious; with a growth mindset and willingness to be coached.Adaptable; with the ability to shift to constantly evolving requirements.Requirements; I’ve got or done these things in the past:Ability to communicate clearly and appropriately in meetings, phone calls, emails, RFPs, and when submitting reports, both externally with customers and internally.Strong presentation and demonstration skills with an ability to use stories effectively.Ability to actively listen.Good organisational, prioritisation and time management skills.Required Technical Knowledge; Yes, I’ve got these:Linux or Windows knowledgeBasic network connectivity troubleshootingInfrastructure as a Service platforms: AWS, GCP and/or AzureIT architecture concepts such as High Availability, Disaster RecoveryHighly Desirable Knowledge and Experience; I even have some or all of these:Experience selling SaaS services or data solutions or working in a sales/commercial environment.Domain knowledge in any of: security operations, DevOps, IT operations, big data or log management.Experience using regular expressions.Experience coding in Python.Experience working with REST APIs.Experience with container and container orchestration technology.Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Job SummaryJob number: 2024763Profession: Sales

AALTO, a global leader in Stratospace. Based in Farnborough, AALTO is an Airbus subsidiary that manufactures, operates, and delivers services with its solar-powered, stratospheric platform: Zephyr.Zephyr’s persistence enables continuous flight for months at a time. Its current flight-time record of over 67 days in the stratosphere. From above 60,000+ft, or 20km above ground, AALTO can deliver several applications including direct-to-device connectivity and high-resolution Earth observation.AALTO operates in a new operational layer between most of air traffic and low-Earth orbit, Stratospace. This is where high-altitude platforms led by Zephyr deliver services to commercial and government partners. We can help monitor environments, observe borders, track natural disasters and connect unconnected communities.Join us as we create a new domain of aerospace: Stratospace. You’ll be part of a highly-skilled, innovative and passionate group of people – Team AALTO. Together, we can Unlock Stratospace.About the role:As a Principal Systems Engineer, you will play a pivotal role in the design, development, and implementation of the Zephyr system. Leveraging your extensive experience and expertise, you will lead and contribute to complex systems engineering projects, ensuring they meet performance, safety, and regulatory standards. You will work closely with cross-functional teams to ensure the successful implementation, meeting project objectives, and adhering to safety and regulatory requirements.Responsibilities to include:Project Management: Manage integration projects from initiation to completion, overseeing budget, timeline, and resource allocation to deliver successful outcomes.Technical Leadership: Provide guidance, mentoring and inspiring a diverse team of engineers, fostering collaboration, creativity and professional growth. Make decisions on technical issues and ensure the team adheres to best practices in systems engineering. No direct Line reports.Compliance Verification: As a CVE, independently verify the compliance of design solutions with applicable regulations. This includes approving all compliance documents, including test programs and data necessary for the verification of compliance with applicable CS and environmental protection requirements.Spearhead the design process, including conceptualization, specifications, and system architecture, taking into account aerodynamics and mech integration, avionics HW & SW, communication, and payload integration.Operational Support: Monitor and analyse system performance. Lead real-time anomaly resolution and recovery activities to ensure continuous operation.System Design Review: Conduct design reviews (SRR, PDR, CDR …).Requirements Management: elicitation, analysis, traceability, prioritisation, V&V, baseline and maintenance.Testing and Validation: Develop and manage extensive testing protocols to validate the integrated systems' performance, including system-level testing, and mission simulation.Regulatory Compliance: Ensure all activities comply with PART 21 regulations, which cover the certification and airworthiness requirements for aircraft and aircraft parts12.Research and Development: Stay updated with the latest HAPS technologies and trends.Risk Management: Identify and mitigate technical and operational risks associated with HAPS development and operations.Customisation and Optimisation: Tailor integration solutions to meet the unique requirements of complex missions, optimizing systems for various operational environments.Communication: Collaborate with cross-functional teams, including software engineers, hardware engineers, project managers and analysis engineers to ensure smooth project coordination and integration.Documentation: Maintain detailed records of design specifications, testing results, and project progress. Prepare reports for internal and external stakeholders.Customer and Supplier Interaction: Act as the primary technical point of contact for customers and suppliers. Manage technical aspects of contracts and ensure compliance with specifications.Overseas Travel: Travel overseas may be required as part of this job.Skills and knowledge required:Bachelor's or Master's degree in Engineering, or a related field.Experience in Systems Engineering tools, e.g. DOORS.Excellent communication, leadership, and teamwork abilities.Familiarity with the certification process and the ability to act as a liaison with regulatory authorities.Exceptional problem-solving and analytical skills.Knowledge of aviation processes: ARP4754, ARP4761, DO178, DO254.MBSE ExperienceIn addition to salary, we offer:Rewarding Excellence: Benefit from our short-term incentive plan that rewards your hard work and dedication.Enjoy Your Time Off: Benefit from 25 days of holiday to relax and recharge.Stay Healthy: We’ve got your health covered with private medical insurance, along with dental and optical cash back.Secure Your Future: Take advantage of our personal pension plan to ensure a comfortable retirement.Peace of Mind: Our income protection and life assurance schemes are there to support you when you need it most.We Care About You: Our employee assistance programme is always available to provide the support you need.Perks Galore: Enjoy a range of employee discounts via Perkbox, because you deserve a treat!AALTO HAPS Ltd. is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status or pregnancy and maternity.

Industry: TechnologySenior C++ Software EngineerA fantastic opportunity for a Senior C++ Software Engineer to join a successful technology company developing complex, high-performance software products. Working within an established research and development team, you will take ownership of new ideas from initial prototypes through to production, using modern C++ to build fast, scalable and robust systems.Location: Cambridge, hybrid working with a minimum of 2 days per week in the officeSalary: 70,000 - 80,000 per annum + excellent benefitsRequirements for Senior C++ Software Engineer: Strong commercial experience developing production-quality software using modern C++, ideally C++17/20 or beyondA strong understanding of modern C++ techniques, including RAII, templates, the STL, smart pointers and concurrencyExperience profiling and optimising native applications, including multithreading, CPU performance and memory efficiencyGood knowledge of Linux/Unix environments and systems-level developmentFamiliarity with C++ development tools such as CMake, GCC/Clang and GDB/LLDBFamiliarity with Docker and containerisationExcellent analytical and complex problem-solving skills, with the ability to reason about system behaviourAbility to work autonomously within complex codebases and make well-reasoned design and implementation decisionsStrong communication skills and the ability to collaborate effectively with colleagues across different disciplinesKnowledge of, or an interest in, low-level systems and software securityExperience with cloud computing, Python or Rust would be beneficial but is not essentialResponsibilities for Senior C++ Software Engineer: Prototype and develop new software capabilities using modern C++Design and implement efficient, memory-safe code for high-performance, low-latency systemsContribute to the development and optimisation of large-scale native applicationsProfile applications and improve performance, concurrency, memory usage and scalabilityTake ownership of technical decisions, balancing new ideas with practical delivery requirementsWork closely with engineers and colleagues across design, project coordination and technical strategyMaintain high standards of code quality, system design and maintainabilityBuild deeper expertise in systems programming, performance optimisation or security-focused developmentWhat the role offers: Ownership of technically challenging projects, taking ideas from early prototypes through to productionThe opportunity to deepen your modern C++ expertise while building high-performance, low-latency systemsA collaborative R&D environment with opportunities to specialise in systems programming, performance optimisation or software securityApplications: If you would like to apply for this unique Senior C++ Software Engineer role, please send your CV via the relevant links! We’re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing applications@redtech-recruit.com (if this email address has been removed by the job board, full contact details are readily available on our website).Keywords: Senior C++ Software Engineer / Senior Software Engineer / C++ Developer / Senior C++ Developer / Systems Software Engineer / Systems Programmer / Native Software Engineer / R&D Software Engineer / Software Developer / Platform Software Engineer / Linux Software Engineer / Software Development Engineer / C++ / C++17 / C++20 / STL / CMake / GCC / Clang / GDB / LLDB / Linux / Unix / Docker / Python / Rust / Cloud Computing / Multithreading / Concurrency / Computer Science / Software Engineering / Mathematics / Physics / Engineering RedTech Recruitment Ltd focus on finding roles for Engineers and Scientists. Even if the above role isn’t of interest, please visit our website to see our other opportunities. We are an equal opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Package: 47,250 - 52,500 (salary dependent on experience) + BenefitsRole ID: SF20638Are you ready to be part of the future? At QinetiQ, we’re not just imagining tomorrow – we are creating it. From cutting-edge defence technology to ground-breaking innovations, our mission is to empower and protect lives. Join us as a Software Development Engineer at our Farnborough site, where you’ll work with advanced technologies alongside some of the brightest minds in the industry.The RoleAs a Software Development Engineer, you’ll play a key role in designing, developing and delivering autonomy solutions that support complex military aviation systems, helping shape the future of crewed and uncrewed operations.Day-to-day, you’ll take ownership of technical work packages, contribute to research and development activities, and support the integration and testing of autonomy and control technologies from concept through to live trials.Your responsibilities will include:Applying software & systems engineering principles to the development of control and autonomy solutionsLeading or contributing to algorithm development for autonomous and decision-support systemsDeveloping production-level autonomy software using C, ideally C++, with exposure to MatlabAnalysing and modelling uncrewed systems within synthetic environmentsSupporting hardware integration, testing and formally assessed trials in the UK and overseasCollaborating with multidisciplinary teams and external partners to deliver operational capabilityEssential experience of the Autonomous Systems Engineer:Proven C programming experience, ideally C++, within complex or safety-critical systemsKnowledge of systems engineering principlesBackground in control, autonomy or complex software-based systemsExperience with modelling, simulation or algorithm developmentEssential qualifications for the Autonomous Systems Engineer:Degree in a STEM discipline such as Engineering, Physics or Applied MathematicsWe value difference and we don’t have a fixed idea when it comes to background or education. Provided you can demonstrate the required level of experience, technical capability and a willingness to learn, we’d love to hear from you.This role is full time (37 hours per week) based at Farnborough. Travel to other QinetiQ and customer sites, including trial locations in the UK and overseas, will be expectedFarnboroughAt our Farnborough site exciting work takes place at our state-of-the-art facility, with high-energy laser technologies, our 5m pressurised wind tunnel which has a simulation capability that is unique in the UK and our large research and development projects is a real hub of creativity, research and innovation. Join our talented teams of Engineers, IT & Cyber Specialists, Project Managers, Group Functions Teams and many more to provide future defences in the UK.Why Join QinetiQ?As we continue to grow into new markets around the world, there’s never been a more exciting time to join QinetiQ. The formula for success is our appetite for innovation and having the courage to take on a wide variety of complex challenges.As a QinetiQ employee, you’ll experience a unique working environment where teams from different backgrounds, disciplines and experiences enjoy collaborating widely and openly as we undertake this exciting and rewarding journey. Through effective teamwork, and pulling together, you’ll get to experience what happens when we all share different perspectives, blend disciplines, and link technologies; constantly discovering new ways of solving complex problems in a diverse and inclusive environment where you can be authentic, feel valued and realise your full potential. Visit our website to read more about our diverse and inclusive workplace culture. Our BenefitsMatched contribution pension scheme, with life assuranceGenerous holiday allowance, with the option to purchase additional daysOptions to join Health Cash Plan, Private Medical Insurance and Dental InsuranceEmployee discount portal: Personal Accident Insurance, Travel Insurance, Restaurants, Cinema Tickets and much moreWe are proud to support the Armed Forces community by honouring the Armed Forces Covenant and maintaining our Gold Award standard in the Defence Employer Recognition SchemeVolunteering Opportunities - helping charities and local communityOur Recruitment Process:We want to make sure that our recruitment process is as inclusive as possible and we aspire to bring out the best in our candidates by creating an environment where everyone feels valued, heard and supported. If you have a disability or health condition that may affect your performance in certain assessment types, please speak to your Recruiter about potential reasonable adjustments.Many roles in QinetiQ are subject to national security vetting being completed, applicants who already hold the appropriate level of vetting may be able to transfer it upon appointment. A number of roles are also subject to additional restrictions, which means factors such as nationality or previous nationalities may affect the roles that you can be employed in.Please note that all applicants for this role must be eligible for SC clearance, as a minimum.UKSV National Security Vetting Solution: guidance for applicants - GOV.UK (www.gov.uk)#UKI#LI-JP1

Staff Engineer / Lead Developer (Python) London / WFH to 180kAre you a highly capable Python Engineer excited by the potential of AI, agentic systems and building high-performance software? This is an opportunity to take a leading role in shaping an AI native engineering environment within a fast growing energy technology business.Backed by major investors, the company is transforming how renewable energy is managed and traded across Europe.As a Staff Engineer, you'll combine hands-on software engineering with technical leadership, spearheading the development of a new trading application while driving the adoption of AI across the engineering function. You'll work with modern AI technologies including RAG, MCP and agentic workflows, exploring how LLMs and AI powered tools can improve development processes and deliver new product capabilities. You'll help define the AI strategy, establish appropriate guardrails and ensure solutions meet regulatory and operational requirements.Alongside this you'll be hands-on, collaborating with quantitative analysts and data scientists to turn research models into reliable, production grade software. You'll take ownership of the Python codebase, refactoring research driven code into clean, maintainable components and setting standards across architecture, testing, performance and observability. You'll also provide technical direction and mentorship while remaining actively involved in design and development.Location / WFH: You'll be based in the London office with flexibility to work from home twice a week.About you:You have a strong commercial software engineering background, with excellent Python skillsYou have experience of designing and building robust, high-performance production systemsYou have hands-on experience with AI / LLM technologies, ideally including RAG, MCP, agentic workflows and LLM powered applicationsYou have a good understanding of AI governance, guardrails, security and regulatory considerationsYou have experience of leading technical delivery, setting engineering standards and improving software architectureYou're comfortable refactoring complex codebases and driving engineering best practiceYou're collaborative and pragmatic with great communication skillsWhat's in it for you:Salary to 180kStock optionsPensionImpactful role with excellent progressionApply now to find out more about this Staff Engineer / Lead Developer opportunity.

Mechanical(Electro-mechanical) R&D Engineer up to £c50k + Bonus ABJ6733 Perm Hybrid 3:2 An exciting opportunityhas arisen for an experienced mechanical / electro mechanical Research & Development Technology Engineer to join an innovative engineering and R&D team focused on developing new products. As a mechanical engineer or electro mechanical engineer you will work at the front end of research and development, where you will transform early-stage ideas into working proof-of-concept devices. A mechanical engineer you will play a key role in exploring new technologies through creative problem-solving, rapid prototyping, experimental testing, modelling and engineering analysis. As electro mechanical engineer this role is about developing entirely new technologies, reducing technical risk and generating the engineering evidence needed to support future product development. As mechanical engineer you will collaborate with multidisciplinary teams including engineering, industrial design, science, prototyping, product stewardship, project management and external technology partners. Key Responsibilities Lead front-end R&D technology workstreams from concept through to technical proof of feasibility. Design, build and develop proof-of-concept devices, prototypes, test rigs and experimental equipment. Apply first-principles engineering, physics, modelling and practical engineering judgement to solve complex technical challenges. Plan, execute and analyse experimental testing programmes, using results to refine designs and guide future development. Produce engineering calculations, modelling and technical analysis to support design decisions. Identify technical risks and implement practical solutions to reduce uncertainty. Work closely with internal specialists, suppliers and external technology partners to accelerate innovation. Support intellectual property awareness by identifying potential patent opportunities and maintaining confidentiality of technical developments. Present technical findings through reports, presentations, design reviews and engineering documentation. Capture and document technical learning to enable successful transfer into future product development programmes. Skills & Experience · Degree in Mechanical Engineering, Product Design, Electro-Mechanical Engineering or Physics · Experience within an engineering R&D, technology development or product innovation environment. Very desirable - experience with Siemens NX / types of products or projects you used it for. · Experience using 3D CAD solid works AutoCAD and engineering drawings. · Developing new technologies – with hands-on prototyping capability · Hands-on prototyping, mechanical assembly and experimental engineering. · Designing, modifying and troubleshooting prototype hardware, fixtures or test equipment. · Applying engineering calculations, physics, modelling or simulation to solve technical problems. · Managing technical work packages or small engineering projects with minimal supervision. · Understanding of rapid prototyping and manufacturing techniques. · Strong analytical skills supported by engineering calculations or modelling. This is an excellent opportunity for an engineer who enjoys taking ideas from concept to reality, thrives on solving complex technical challenges and wants to play a key role in developing innovative technologies for future products. Full Time Permanent Benefits: V Competitive base salary up to 50k + 30 % Bonus, Private Health Insurance, Pension 20% To Apply: Please contact Alison Basson on 0203 909 3782 / 07814547440 or apply for ABJ6733 to TPBN1_UKTJ

Job ID: 6886Location: LondonSalary: 160,000-190,000 per yearPosted: 2026-05-11Software Engineer – Platform StorageLondon | HybridNcounter is supporting a leading quantitative investment firm as it continues a major expansion of its infrastructure and research platform. With substantial investment being made into compute, storage and distributed systems engineering, this is an opportunity to join a team building the next generation of high-performance data infrastructure that underpins global research and trading operations.This role sits within the Platform Storage team, responsible for architecting and evolving the storage ecosystem powering large-scale quant workloads. The environment combines systems engineering, distributed backend development and high-performance infrastructure, with engineers working across on-prem and cloud platforms to solve complex data challenges at scale.You’ll help design and develop storage abstractions, orchestration services and platform tooling that simplify how researchers and engineers interact with massive datasets. The work spans performance optimisation, infrastructure automation, open-source storage integration and operational engineering across highly demanding Linux environments.Key responsibilities:Build scalable storage and orchestration services across hybrid infrastructure environments • Design platform layers that provide seamless access across distributed storage technologies • Evaluate and integrate open-source and vendor storage tooling into a unified platform • Improve storage throughput, data locality and platform efficiency for research workloads • Collaborate closely with compute, networking and observability teams across the wider platform estate • Support troubleshooting, tuning and reliability engineering for production storage systemsWhat we’re looking for:Strong backend or systems engineering background with Go, Rust, C++ or Java • Experience building or supporting distributed systems at scale • Strong Linux knowledge and an interest in infrastructure engineering • Exposure to observability tooling such as Prometheus, Grafana, Datadog or ELK • Understanding of cloud and infrastructure automation, ideally AWS, GCP or Terraform • Any experience with Ceph, MinIO, JuiceFS, FUSE, RDMA, GPUDirect or DPDK would be highly beneficialThis is an opportunity to join a team actively shaping a large-scale in-house storage platform rather than simply maintaining existing infrastructure. You’ll be working on deeply technical engineering problems with genuine long-term impact across a globally distributed technology estate.

AI Engineer London / WFH to 80kAre you a hands-on AI Engineer with end-to-end ownership experience?You could be progressing your career in a senior, hands-on AI Engineer role a global reinsurance group, building the technology platform behind a diverse portfolio of insurance products used across its international businesses.As an AI Engineer you'll build and productionise intelligent systems that power next generation digital products, Digital Twins and agentic decision engines. Taking ownership across the full development lifecycle you'll design, develop and deploy behavioural AI models, translating techniques such as sequence prediction, intent modelling and imitation learning into production ready systems.You'll build end-to-end AI pipelines spanning data ingestion, feature engineering, model training, inference and monitoring, while applying causal inference to understand the real world impact of AI driven decisions.Collaborating with software engineers, ML engineers and product teams, you'll integrate AI capabilities into digital platforms through APIs, microservices and event driven architectures. You'll also contribute to Digital Twin and agentic systems, implementing behavioural dynamics, state modelling and decision processes.Location / WFH:You'll join colleagues in plush City offices with onsite gym and barista, three days a week, with flexibility to work from home the other two days.About you:You have strong experience as an Applied AI Engineer, building and deploying AI / ML models into production environmentsYou're focused on applied AI and delivering working systems, rather than purely theoretical research or simply integrating third-party LLM APIsYou have experience with behavioural, sequential or decision making models, such as sequence prediction, intent modelling or imitation learningYou have a good understanding of causal inference and techniques for evaluating the impact of AI driven decisionsYou have experience building end-to-end ML pipelines, including data processing, feature engineering, training, inference and monitoringYou have strong engineering skills, with experience integrating AI services into production platforms using APIs, microservices or event driven architecturesYou have a good understanding of agentic systems, Digital Twins, simulation or intelligent automationYou're collaborative with great communication and problem solving skillsWhat's in it for you:As an AI Engineer you will receive a competitive package:Salary to 80kBonusPension, Income Protection, Life Assurance, Critical Illness Cover, Employee Assistance ProgrammeCompany Share SchemeEnhanced paternity leave and benefitsWellness benefits such as free PT sessions at the onsite gym, massagesMedical and Dental Health insurance25 days holidayPerks such as "Kids Pass" for discounted days out, smart tech schemeVolunteering and charity daysApply now to find out more about this AI Engineer opportunity.

Job ID: 6730Location: LondonSalary: 110,000-130,000 per yearPosted: 2026-04-01Infrastructure SupportNcounter are partnering with a leading global investment firm to hire multiple Trading Infrastructure Support Engineers into a high performance team responsible for the stability of mission critical trading platforms. This opportunity sits within a global Infrastructure Support function providing L1 and L2 coverage across AMER, EMEA and APAC, supporting services that underpin live trading, research and core platform environments.This is not application support and it is not a project role. It is a technically deep infrastructure position focused on keeping complex systems highly available under real trading pressure.You will be working across: Linux server administration, RHEL or CentOS preferredKubernetes cluster administration, not just container deploymentCI/CD tooling and infrastructure automationKafka or similar messaging systemsMonitoring stacks such as ELK or PrometheusHigh end storage environments, NFS or GPFS exposure beneficialThe split is roughly 80 to 90 percent BAU support with 10 to 20 percent focused on optimisation and automation. You will troubleshoot Linux daily, support and administer Kubernetes clusters, reduce operational toil through scripting in Python and Bash, and interact heavily with traders, platform teams and infrastructure stakeholders globally.We are looking for engineers with around 3 to 7 years experience who are comfortable in fast paced environments, can context switch quickly and take ownership during incidents and post mortems. Strong communication skills and sound judgement under pressure are essential.Hiring is global with priority across Toronto, Montreal and London, alongside Warsaw and Asia locations.If you are an infrastructure focused engineer who enjoys solving complex production issues rather than building greenfield projects, please get in touch to discuss further in confidence.

Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.About the roleAs an engineer in the Applied AI Platform Team, you will provide the internal delivery platform that makes world-class AI possible. You will take ownership of a collection of Cloud infrastructure, tools, templates, and processes that technical teams use to launch and accelerate projects.Working closely with the Applied AI team, you’ll be building and maintaining the data science, MLOps, and deployment tooling that empowers our team of over 100 Data Scientists and Machine Learning Engineers.You will encourage engineering best practices, research new technologies, design and build new infrastructure and promote ways of working that enables us to transition from complex exploration to full-stack, production-grade machine learning products.What you'll be doing:Taking ownership of our existing deployment and MLOps tooling to ensure our software delivery remains a significant lever for quality and reliability.Contributing to the continuous evolution of our technology stack, from building new features in our notebook development environments to refining model monitoring systems.Collaborating with a small, fast-moving team of customer-facing technologists to design and build the infrastructure our delivery teams need to succeed.Designing and implementing infrastructure-as-code and DevSecOps processes to support distributed, containerised microservices architectures.Integrating our core platform services across multiple cloud environments, including AWS, Azure, and GCP, to provide flexible solutions for our global clients.Scaling our internal enablement capabilities, acting as an entrepreneurial force that removes technical friction and accelerates the deployment of machine learning.Who we're looking for:You are an engineer who is passionate about building internal tools and takes pride in creating the foundational systems that enable others to excel.You being experience and knowledge of at least one of the major cloud providers (AWS, GCP or Azure) You possess modern systems programming skills in Python or Go, and you are comfortable selecting the best-fit technology for complex infrastructure challenges.You bring practical experience with Docker containerisation and orchestration, to manage distributed systems at scale.You have a strong background in Infrastructure-as-Code (IaaC) using tools like Terraform or CloudFormation, combined with a deep interest in DevSecOps practices.You thrive in small, ambitious teams where you can take high levels of ownership and communicate effectively with both technical and non-technical peers.Our Interview ProcessTalent Team Screen (30 minutes)Pair Programming Interview (90 minutes) System Design Interview (90 minutes) Commercial Interview (60 minutes)Our Recruitment EthosWe aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours. A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.LocationLondonAddressLondon, LondonEmployment TypeFull timeLocation TypeHybridDepartmentEngineeringApplied AI

Senior MLOps EngineerAre you passionate about building scalable, reliable machine learning platforms that bring AI models into production?Do you thrive on automating ML workflows, optimising model performance, and creating robust MLOps solutions at scale?About the team:Join the team that powers Elsevier’s research platforms—Scopus/Scopus AI, ScienceDirect/ScienceDirect AI, and journal submission & peer review workflows.About the role: You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our systems operate over one of the world’s largest scholarly corpora, so you’ll work on AI-based features (GenAI, Agentic AI, RAG, etc.), search/ranking quality, and knowledge graph-aware retrieval while enforcing content rights and editorial confidentiality. As a Senior MLOps Engineer, you should be able to define the scope of a project with support of managers and execute that project independently. Individuals in this role can also support the development and training of junior staff. Senior Data Scientist I should be self-sufficient in executing basic methods, and work within their teams to execute increasingly sophisticated approaches to deliver outcomes. They should also support the development of best practices.Key Responsibilities:· Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI)· Maintain and version model registries and artifact stores to ensure reproducibility and governance· Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment.· Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML.· End-to-end custom SageMaker pipelines for recommendation systems.· Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hosted· Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs · Build evaluation pipelines: offline IR metrics (e.g., NDCG, MAP, MRR), LLM quality metrics (e.g., faithfulness, grounding), and A/B testing.· Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization· Stay current with the latest GAI research, NLP, and RAG, and apply the state-of-the-art in our experiments and systemsCollaboration· Partner with Subject-Matter Experts, Product Managers, Data Scientists and Responsible AI experts to translate business problems into cutting edge data science solutions· Collaborate and interface with Operations Engineers who deploy and run production infrastructure.Requirements:· Extensive experience ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production.· Strong Python, Java, and/or Scala engineering· Experience with statistical analysis, machine learning theory and natural language processing· Hands-on‑ experience with major cloud vendor solutions (AWS, Azure and/or Google)· Search/vector/graph technologies (e.g., Elasticsearch / OpenSearch / Solr/ Neo4j).· Experience in evaluating LLM models· Background with scholarly publishing workflows, bibliometrics, or citation graphs· A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics· Familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark· Experience with large-scale data processing systems, e.g., SparkWhy Join Us?Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.Work in a way that works for youWe promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.· Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.Working for youWe know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:Comprehensive Pension PlanGenerous vacation entitlement and option for sabbatical leaveMaternity, Paternity, Adoption and Family Care leaveInternal communities and networksVarious employee discountsRecruitment introduction rewardEmployee Assistance Program (global)About the business-A global leader in information and analytics, we help researchers and healthcare professionals’ advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.USA Job Seekers:EEO Know Your Rights.SummaryLocation: London WallType: Full time

Title:Digital Collaboration Workplace ExpertCompany:Ipsen Pharma (SAS)About Ipsen:Ipsen is a mid-sized global biopharmaceutical company with a focus on transformative medicines in three therapeutic areas: Oncology, Rare Disease and Neuroscience. Supported by nearly 100 years of development experience, with global hubs in the U.S., France and the U.K, we tackle areas of high unmet medical need through research and innovation. Our passionate teams in more than 40 countries are focused on what matters and endeavor every day to bring medicines to patients in 88 countries. We build a workplace that champions human-centric leadership and fosters a culture of collaboration, excellence and impact. At Ipsen, every individual is empowered to be their true selves, grow and thrive alongside the company’s success. Join us on our journey towards sustainable growth, creating real impact on patients and society!For more information, visit us at and follow our latest news on LinkedInand Instagram.Job Description:The Senior Microsoft365 Engineer – Platform, Governance & Operations plays a critical role in designing, securing, and operating Ipsen’s Microsoft 365 platform at scale.The purpose of this position is to own the end‑to‑end technical integrity of the Microsoft 365 ecosystem, ensuring that collaboration & productivity services (Exchange Online, SharePoint Online, Teams, OneDrive, Power Platform, Copilot) are reliable, secure, compliant, and aligned with enterprise governance standards.This role bridges the gap between identity, security, digital workplace, and infrastructure teams by providing a transversal, hands‑on engineering capability across all core Microsoft 365 workloads.The engineer acts as the technical reference (L3) for Microsoft 365, taking ownership of complex incidents, architectural decisions, and operational excellence, while reducing dependency on external partners and improving service quality.In addition, this position is key to enabling Microsoft 365 Copilot safely and efficiently, by preparing the tenant from a technical and data‑governance standpoint, ensuring that Copilot usage is compliant, secure, and value‑driven.Ultimately, the role ensures that Microsoft 365 is not only a collaboration platform, but a robust, governed, and industrialized enterprise service supporting Ipsen’s business, regulatory, and security requirements.WHAT - Main Responsibilities & Technical CompetenciesundefinedMicrosoft 365 Architecture & Platform EngineeringDesign, maintain, and evolve the Microsoft 365 technical architecture across core workloads (Exchange Online, SharePoint Online, Teams, OneDrive, Power Platform, Copilot).Ensure architectural consistency between collaboration services, identity, security, and compliance layers.Act as a technical authority for platform design decisions and roadmap evolution.Advanced Operations & L3 SupportServe as the Level 3 technical reference for Microsoft 365.Exchange Online : Mail flow / connectors / EOP / Defender for O365 / Transport rules, journaling, archivingundefinedTeams : Policies (meeting, messaging, app policies), Lifecycle / M365 Groups / App governance (store, custom apps, Copilot apps)SharePoint : Site provisioning / permissions models / storage architecture / permission managementundefinedPowerPlatform : Environment strategy (default vs dedicated) / Dataverse (governance, capacity) / Connectors governance (standard vs premium vs custom) / ALM / pipelines / PermissionsPurview : Sensitivity labels / Auto‑labeling / DLP / Records management / Insider risk / communication complianceObservability : Service health monitoring (Message Center exploitation) / Unified audit logs / Custom monitoring / alerting / Technical KPISecurity : Defender suite / Secure Score / App consent governance / External sharing security modelAutomation : Tenant-wide automation / CI/CD / source control / Graph API / PowershellHandle complex incidents, root cause analysis, and recurring issues affecting M365 services.Lead technical escalations with Microsoft Support and strategic partners.Define and maintain operational runbooks, monitoring standards, and service KPIs.Governance, Security & Compliance ImplementationTranslate governance, security, and compliance requirements into concrete Microsoft 365 configurations.Ensure Microsoft 365 services comply with internal standards and regulatory constraints.Technically deploy Purview, eDiscovery, and audit requirements.Define and manage proper and efficient licensing managementDefine and enforce governance for SharePoint Online and Power Platform (environments, permissions, data exposure).Implement and enforce policies related to:Data lifecycle and retentionInformation protection and DLPAccess control and service boundariesAI Enablement (Platform Perspective)Prepare and secure the Microsoft 365 tenant for Copilot usage.Ensure data exposure, permissions, and search behaviors are properly controlled.Work closely with security and digital workplace teams to enable Copilot in a compliant and controlled manner.Automation & IndustrializationAutomate Microsoft 365 administration using PowerShell and Microsoft Graph.Reduce manual operations and operational risks through scripting and standardization.Contribute to continuous improvement of platform reliability and efficiency.Cross‑Team CollaborationAct as a transversal link between Identity, Security, Infrastructure, and Digital Workplace teams.Provide technical guidance and best practices to internal teams.Support decision‑making by providing clear technical recommendations and risk assessments.Knowledge & Experience (essential):Minimum 5 years of experienceExcellent, all-round communicator.Self-motivated and capable of managing multiple priorities and tasks as delegated.Team player with the ability to work in a collaborative environment.Excellent interpersonal skills, ability to work with diverse personality types.Strong analytical and problem-solving skills with high attention to detail.Experience in enterprise or regulated environments is a plusKey Technical competencies:Expertise on administering/managing Microsoft backends including Exchange Online, SharePoint Online, Teams, OneDrive, Power Platform, CopilotExperience in similar positionStrong technical mindset with hands‑on skills (PowerShell, Graph)Experience with AvePoint Solution (Confidence platform, Cloud Governance, MyHub) would definitely be a plusEducation / Certifications (essential):University or IT Engineer school Graduation.Language(s) (essential): Fluent in English and French, both written and spoken.Nous nous engageons à créer un lieu de travail où chacun se sent écouté, valorisé et soutenu, où nous incarnons « The Real Us». La valeur que nous accordons aux différentes perspectives et expériences motive notre engagement en faveur de l'inclusion et de l'égalité des chances. Lorsque nous intégrons des modes de pensée diversifiés, nous prenons des décisions plus réfléchies et découvrons des solutions plus innovantes. Ensemble, nous nous efforçons de mieux comprendre les communautés que nous servons. Cela signifie que nous voulons également vous aider à donner le meilleur de vous-même lorsque vous postulez à un poste chez nous. Si vous avez besoin d'aménagements ou d'aide pendant le processus de candidature, veuillez en informer l'équipe de recrutement. Ces informations seront traitées avec soin et n'auront aucune incidence sur le résultat de votre candidature. Soyons nous-mêmeSummaryLocation: Paris; London (UK)Type: Full time

Shape Your Future With Us:General Re Corporation, a subsidiary of Berkshire Hathaway Inc., is a holding company for global reinsurance and related operations, with more than 2,000 employees worldwide. It owns General Reinsurance Corporation and General Reinsurance AG, which conducts business as Gen Re.Gen Re delivers reinsurance solutions to the Life/Health and Property/Casualty insurance industries. Represented in all major reinsurance markets through a network of 37 offices, we have earned superior financial strength ratings from each of the major rating agencies.General Reinsurance, London Branch is offering an opportunity for Senior Software Engineer.Context of the Role:We are seeking a highly skilled Senior Software Engineer with a strong background in building scalable, high-quality, and high-performance solutions on the Microsoft technology stack (.NET / Blazor / C#). As a Senior Software Engineer, you will be responsible for building and maintaining internal and external-facing web applications in collaboration with international and interdisciplinary teams. The IT team currently consists of seven developers and solution specialists, and the successful candidate will be the lead for the Microsoft technology stack.Key Responsibilities:· Design, develop, test, support and deploy custom web and mobile applications based on .NET (Blazor, C#), C++.· Gather customer software requirements and develop related software applications and programs.· Collaborate with architects, engineers, and other team members to design scalable and efficient solutions.· Implement Azure Cloud Services and features that enhance application performance and reliability.· Research and evaluate software related technologies and products.· Design and develop testing and maintenance procedures and activities.· Develop and write high-quality coding standards.Required Skills & Experience:· University degree in Computer Science, Information Systems or a related subject or the equivalent and relevant work experience· Considerable and proven experience in software development in the .NET environment with C# and are interested in current technologies such as ASP.NET Core and Entity Framework Core.· Considerable and proven experience in iterative methodologies, such as Scrum or· Design Thinking, using DevOps platforms such as Azure DevOps and Git.· Considerable and proven experience in Azure Cloud Services, e.g. Azure Functions, Azure SQL, and Azure App Service.· Experience with Azure Blazer is a plus.· Experience with CI/CD pipelines and Infrastructure as Code with Terraform are a plus.· Experience in the reinsurance or insurance sectors is a plus.Closing Date:30 July 2026Our Address:General Reinsurance Corn Exchange 55 Mark Lane London, EC3R 7NE (UK)It is the continuing policy of the Gen Re Group to afford Equal Opportunity to qualified individuals without regard to race, color, sex (including childbirth or related medical conditions), religion, national origin or citizenship, sexual orientation, gender identity, or any characteristic protected by applicable law. In addition, Gen Re provides reasonable accommodation for qualified individuals with disabilities in accordance with the Americans with Disabilities Act.

Join Kainos and Shape the Future At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together.We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you’ll be part of a diverse, ambitious team that celebrates creativity and collaboration.Ready to make your mark? Join us and be part of something bigger.JOB PROFILE DESCRIPTION Kainos is recognised as one of the UK’s leading AI and data businesses, with a decade-long track record of delivering impactful, production-grade AI solutions for clients across government, healthcare, defence, and commercial sectors. Kainos is at the forefront of AI innovation, trusted by Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government’s AI Cyber Security Code of Practice implementation guide and we partner with leading organisations to ensure AI is deployed ethically, securely and with measurable business value. Our teams are at the cutting edge of AI research, and delivery, it is truly an exciting team to join Kainos as we further grow our AI capability. MAIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS: As a Lead AI Engineer at Kainos, you will architect, design, and deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role will involve hands-on technical leadership, collaborating with customers to translate business challenges into trustworthy AI solutions and ensuring responsible AI practices throughout. As a technical mentor, you will foster a culture of innovation, continuous learning, and engineering excellence. It is a fast-paced environment, so it is important for you to make sound, reasoned decisions. You will do this whilst learning about new technologies and approaches, with talented colleagues that will help you to develop and grow. You will manage, coach, and develop a small number of staff, with a focus on managing employee performance and assisting in their career development. You will also provide direction and leadership for your team as you solve challenging problems together. MINIMUM (ESSENTIAL) REQUIREMENTS: A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection). Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc). Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data. Understanding of responsible AI principles, model interpretability, and ethical considerations. Strong interpersonal skills with the ability to lead client projects and establish requirements in non-technical language. We are passionate about developing people, you will bring experience in managing, coaching, and developing junior members of a team and wider community. DESIRABLE: Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g, GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. Contributions to open-source AI projects or research publications. Familiarity with AI security, privacy, and compliance standards e.g. ISO42001. Embracing our differences At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.Job SummaryJob number: JR_17993Profession: Data & Artificial Intelligence

Job ID: 11748Location: London, England, GBType: PermanentSalary: USD excellent salary, bonus, full bens and opportunity per yearPosted: 2026-10-28Senior Agentic AI Engineer. A fast-growing, engineering-led AI consultancy with industry recognised entrepreneur leadership is hiring Senior Agentic AI Engineers to design, build and run production AI systems for existing enterprise client base in retail, pharmaceutical, financial services and FMCG / Consumer Products.Permanent, remote first with some trips to office and clients.The opportunityOur client has more enterprise AI work than it can currently staff and is building out its permanent engineering team. You will be the hands-on engineer in a small, senior client delivery team, working alongside a consultant and a delivery lead.Together you take a loosely defined business problem through to a working, production-grade AI system that is safe, observable and maintainable. Evaluation, guardrails and monitoring are built in from day one. You will also help shape engineering standards and the reusable patterns the wider team builds on.This is a senior individual contributor role for someone who still loves building, not a step into management.What you’ll doAgentic and AI systems engineeringDesign and build LLM applications using modern orchestration patterns, prompt frameworks and evaluation loopsBuild multi-agent systems covering planning, delegation, tool use, safety constraints and monitoringBuild retrieval pipelines: embeddings, vector stores, RAG and semantic searchApply knowledge modelling (ontologies, knowledge graphs) to improve reasoning and data alignmentIntegrate AI systems with enterprise platforms through APIs, tools and connectorsSet the technical direction on your engagements and shape the architecture of client solutionsDiscovery and solution designTurn ambiguous business needs into clear, practical engineering approachesAssess feasibility across data, systems and architectureHelp shape use cases with consultants and explain clearly how a solution will workWork with client domain experts to understand edge cases and operational requirementsProduce lightweight technical documentation, diagrams and decision recordsQuality, reliability and AI operationsImplement evaluation frameworks and safety checks across model and agent behaviourBuild monitoring, logging, tracing and incident-handling patternsApply governance, risk and compliance principles to AI deploymentsSupport release cycles, environments and operational readinessOwn reliability, reproducibility and performance benchmarksBuilding team capabilityTurn what you build into reusable agent patterns, templates and starter kitsShare new research, frameworks and techniques with colleaguesCoach peers and influence coding standards and architectural practiceWhat you’ll bringEssential6 to 8 years in software or application engineering, AI engineering or applied data engineeringStrong hands-on experience with LLMs, embeddings, RAG, retrieval stacks and vector storesPractical experience building multi-agent systems, agent orchestration or MCP-style tool patternsStrong Python, with a track record of production-grade workflowsExperience with at least one cloud AI ecosystem: Azure OpenAI, Google Vertex AI, AWS Bedrock or AnthropicWorking knowledge of semantic modelling, ontologies or knowledge graphsAbility to turn open-ended business problems into working prototypes quicklyComfortable in client-facing delivery, ideally within a consultancyDesirableDomain experience in life sciences, pharma or healthcare, FMCG or retail, insurance, or banking and financial servicesDeeper ontology or knowledge graph expertiseExperience with LLM evaluation and observability toolingStrong engineers from non-AI backgrounds who have moved quickly into agentic AI and can show what they have built are very welcomeWho thrivesSenior and genuinely hands-on, with plenty of energy for buildingSelf-starting and entrepreneurial, with a bias for action and ownershipCalm and structured with ambiguity, reasoning from first principlesA builder who prototypes, iterates and shipsA clear communicator who can simplify complex systems for clients and colleaguesCollaborative and low ego, at home in small senior teamsRigorous about safety, reliability and trust in AI systemsCurious and quick to learn, keeping pace with new tools and researchAbout StaffworxStaffworx is a UK-based specialist IT and consulting recruitment firm placing permanent, contract, interim and fractional talent across AI and machine learning, software engineering, data, cloud and senior consulting. We partner with software vendors, consultancies, fintechs and global systems integrators across the UK and EMEA, with growing activity in the US.For clients, we focus on quality over volume: a small number of well-screened candidates benchmarked against the brief, clear feedback loops and same-day responses. For candidates, we offer honest market insight, confidential conversations and introductions to roles that genuinely match your experience and ambitions. Whether you are scaling an AI engineering capability or exploring your next move in agentic AI, we would be glad to help.

Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.About the teamIn our Professional and Financial Services Business unit, we bring everything we have learned in more than a decade of Applied AI, and use it to help our clients navigate a rapidly changing landscape.We develop and embed AI solutions which help financial institutions become more efficient, enhance customer experience, and find the commercial upside in uncertain markets. Within the constraints of a highly regulated industry, we see so much opportunity for impactful innovation and are proud to set the gold-standard for marrying technical excellence with safe deployment.About the roleAs a Full Stack Software Engineer, you will collaborate with cross-functional teams to build and scale AI-powered systems that solve unique challenges for global clients. This is an opportunity to take ownership of the entire stack, turning sophisticated machine learning outputs into high-impact, production-ready solutions that drive real-world transformation.What you'll be doing:Creating reliable, reusable, and scalable frontend and backend architectures to enable the seamless delivery of advanced AI systems.Leading engineers within cross-functional teams—alongside Data Scientists and Product Managers—to deploy technically sophisticated, high-impact software.Designing and architecting robust project frameworks that maintain a balance between rapid prototyping and long-term maintainability.Acting as a technical authority for full-stack development within your delivery unit to ensure best practices are met.Providing deep technical expertise to customers, helping them navigate complex requirements and architectural scoping.Who we're looking for:You bring extensive experience in TypeScript and modern frontend frameworks like React or Vue, paired with a strong eye for intuitive UI/UX design.You possess solid backend development skills in Python or TypeScript frameworks (such as FastAPI, Flask, or Django) and are comfortable managing the full application lifecycle.You are experienced in deploying software within cloud environments like AWS, Azure, or GCP, ideally using containerisation tools like Docker.You demonstrate a scientific and pragmatic mindset, testing assumptions and balancing big-picture vision with the technical details required for execution.You thrive in autonomous, fast-paced environments where you can take full ownership of problems and collaborate directly with clients to define technical strategy.You are a compelling communicator who enjoys working in a team-oriented culture and has a relentless drive to learn and apply novel technologies.Our Interview ProcessTalent Team Screen (30 minutes)Pair Programming Interview (90 minutes) System Design Interview (90 minutes) Commercial Interview (60 minutes)Our Recruitment EthosWe aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours. A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.LocationLondonAddressLondon, LondonEmployment TypeFull timeLocation TypeHybridDepartmentEngineeringProfessional & Financial Services

About Us PhysicsX is the physics AI company for industrials. The company’s mission is to accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today. PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle. The company partners with leading organisations in aerospace & defence, automotive, semiconductors, materials, and energy & renewables, supporting them on some of their most critical and complex challenges. PhysicsX is headquartered in the United Kingdom, with offices in London, New York, and Singapore and an expanding presence in the Bay Area. Re-architecting Engineering for the Age of Intelligence PhysicsX is the physics AI company for industrials. The company’s mission is to accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today. PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle. The company partners with leading organisations in aerospace & defence, automotive, semiconductors, materials, and energy & renewables, supporting them on some of their most critical and complex challenges. PhysicsX is headquartered in the United Kingdom, with offices in London, New York, and Singapore and an expanding presence in the Bay Area. What you’ll do Work closely with our simulation engineers and research scientists to develop an understanding of the physics and engineering challenges we are solving Work at the intersection of data science and software engineering to transform prototype implementations to robust production-grade model implementations, libraries and tooling Work with multi-GPU/multi-node distributed systems for training and inference at the scale of PBs of data and hundreds of GPUs Optimize the models and pipelines on all levels, from job scheduling down to GPU kernels Design and build scalable and robust infrastructure for end-to-end machine learning applications on cloud (CoreWeave, AWS) Continuously apply and improve engineering best practices and standards, coach your colleagues in their adoption. What you’ll bring Enthusiasm about using machine learning for science and engineering, and especially in scaling such solutions to real-world settings Ability to work autonomously in a fast-paced environment, learn and adapt quickly, scope, plan and deliver effectively Strong collaboration and communication skills, especially with research scientists Experience with software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps) Experience building ML models and pipelines in Python, using common libraries and frameworks (e.g., PyTorch, TensorFlow, JAX) Experience with the GPU programming ecosystem, ability to optimise models on all levels of the stack, going down to the level of CUDA/Triton/Warp kernels when necessary Experience training and serving ML models at scale Experience with large-scale data processing Nice to have Domain knowledge in physics and/or numerical methods, especially CFD Experience working in the domain of ML for science or engineering Experience building infrastructure on cloud platforms (e.g., AWS, Azure, GCP, CoreWeave) Experience with C/C++, especially for computer vision, geometry processing and scientific computing What We Offer 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. We value diversity 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 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

Vacancy detailFull Stack Engineer – Python / FastAPI / React450 to 575 GBPRemote WORKING Type: ContractFull Stack Engineer – Python / FastAPI / ReactContract | UK Remote | Up to 575 per dayWe are seeking an experienced Full Stack Engineer to support a client operating within a heavily regulated environment.This is a hands-on development role for an engineer who enjoys writing code, building features and delivering high-quality software. You will work within an established client engineering environment, following its development standards, security requirements, change controls and review processes.The role is predominantly remote, with very limited onsite requirements at the client's London location. Applicants must be based in the UK.Contract DetailsDay rate: Up to 575 per day Outside IR35 depending on experienceStart date: ASAP – immediate availability or short notice preferredDuration: Initial contract through to March/April 2027Location: UK-based, predominantly remoteOnsite expectations: Very limited attendance at the London officeIR35: Determination pending; current working assumption is Outside IR35Essential Skills and ExperienceCandidates should have strong hands-on experience across the following:Python: Strong commercial Python development experience.FastAPI: API design, middleware and asynchronous programming patterns.Pydantic: Data validation and API modelling.Database engineering: PostgreSQL data modelling, query design and migrations, using Alembic or a comparable schema-migration tool.Frontend: React and TypeScript, with the ability to support smaller feature updates.Authentication and authorisation: Experience with SSO, JWT and role-based access control.Testing: Automated testing using pytest and a JavaScript testing framework.Git and GitHub: Branching strategies, pull requests, code reviews and working within mandatory CI checks.AI-assisted development: Practical, day-to-day experience using Claude Code or a comparable agentic coding tool. Hands-on Claude Code experience is essential.Code quality and security: Ability to critically review AI-generated code, identify issues and ensure secure coding practices, including secrets management, protecting sensitive information and resolving security scan findings.Enterprise delivery: Comfortable working asynchronously within a client-owned repository, following established coding conventions, formal change controls, ticketing systems and structured review processes.Experience delivering AI-powered solutions is also important.Desirable ExperienceThe following would be advantageous:PingFederate.Rules-engine or workflow-engine design, including configurable rules, conditional logic and versioned templates.Concurrency and data-integrity patterns, including locking, idempotency and audit logging.Azure services, particularly App Service, Key Vault, managed identity and Application Insights.Advanced Claude Code capabilities, including custom skills, subagents, parallel worktrees and agent configuration.GitHub Copilot for code review.WCAG 2.1 AA accessibility standards and enterprise design systems.Vite and the npm toolchain.Experience working on regulated client engagements, particularly within sectors such as pharmaceuticals.The Ideal CandidateYou will be an experienced application or software engineer with a strong coding background and a track record of delivering within regulated or enterprise environments.You should be comfortable taking ownership of development tasks, building and improving application features, working with modern AI coding tools and ensuring that generated code meets the required standards for quality, security and maintainability.This is not primarily a platform or infrastructure engineering position. The client is looking for engineers who are actively involved in software development and can contribute to delivery from day one.Availability: Candidates who are immediately available or able to start at very short notice are particularly encouraged to apply.To be considered, please submit your latest CV outlining your relevant Python, FastAPI, React, Claude Code and regulated-environment experience.Reference: amc-aqu-fsekPostcode: EC2V 6AA#adquApply for this vacancyYour CV will be sent to the selected department. At no time will your CV be sent outside of Anson McCade without your authorisation.Mandatory field.Your nameYour surnameYour email addressI confirm I currently have the right to take full time employment at the location for which I am submitting my CVPlease state the locations where you currently have the right to take full time employmentAttach a file (Word or PDF only accepted)MessagePrior to submission of this form, the user acknowledges and accepts Anson McCade's Terms and Conditions of Use + Privacy Policy + Data Protection Compliance Statement* I acknowledge and accept TrustpilotOur OfficesVacancy searchSearch all the vacancies on Anson McCade Select a Practice Area Quantitative Research, Trading & Risk Digital + Analytics Information Technology + Cyber Security Business Change and Transformation + Strategy IT / Software Sales Internal Positions at Anson McCade

Job Description:JOB TITLE: Senior Static Stress EngineerSECURITY CLEARANCE: Eligibility to gain BPSS check (including a criminal record check) TRAVEL REQUIRED: Occasional travel within UK and international LOCATION: Filton (hybrid working available) TYPE: Full timeWHAT'S IN IT FOR YOUFinancial Reward: Competitive salary, annual profit share, contributory pension, share options, car leasing scheme, free onsite parking, various optional salary sacrifice benefits, shopping discounts and much moreWork / Life Balance: 35 hour week, flexible working around core hours, hybrid working (3 days on site) and flexible working, option to buy/sell holiday.Personal Development: Personalised development plan and unlimited access to 10,000+ E-learning courses, internal mobility including international opportunitiesHealth & Wellbeing: Bupa health insurance (including assisted fertility treatments and gender dysphoria & reassignment support), wellbeing benefits (including 24/7 online GP and mental health support), discounted family health / dental insurance / eye tests, cycle-to-work scheme, on-site canteen and coffee shop, lunchtime yoga / meditation Family and Caregiving: Life assurance, enhanced pay for parental leave (23 weeks at 100% pay), adoption / shared parental / caregiving leave, purpose built maternity rooms on siteInclusive Environment: Wellbeing room, Multi-faith room, Employee Representative Groups (Gender, LGBTQ+, International, Generational, Disability, Social & Cultural Diversity, Neurodiversity) In addition to a competitive base salary, this role includes a flexible benefits allowance of up to 250/350 per month (grade dependent), giving you the freedom to choose the rewards that matter most to youOur world is changing. And so are we. From our commitment to zero-carbon flight to cleaning up space, sustainability is at the heart of our purpose.Job DescriptionAn exciting opportunity has arisen for a Senior Static Stress Engineer to join the Wing Analysis Engineering team at Filton.Are you passionate about developing wing structures and collaborating across multidisciplinary teams? We are a team of structural engineers, technical experts, and project managers committed to delivering innovative technical solutions to support wing analysis across our aircraft programs.How you will contributeStructural Integrity & Authorisation: Lead the resolution of complex static stress challenges, acting as an approval signatory and progressing toward full structural authorisation for critical wing deliverables.Certification & Methodology: Define, validate, and revise the core assumptions, sizing rules, and analytical methods used to certify Outer Wing structures to CS-25 airworthiness standards.Regulatory & Technical Liaison: Serve as a primary technical focal point representing Wing Engineering to Technical Authorities, Chief Engineering, and Airworthiness Bodies (such as EASA).Cross-Disciplinary Innovation: Introduce advanced engineering solutions, best practices, and modern ways of working drawn from aerospace, adjacent high-tech industries, or cutting-edge research environments.Strategic Product Direction: Shape wing product strategy from a static analysis perspective, identifying and deploying digital process improvements, automated sizing tools, and structural weight-saving opportunities.Technical Mentorship: Drive the technical capability of the team by coaching engineers in both first-principles stress analysis and technical decision-making. About YouWe are looking for candidates with the following skills and competences:Signatory Credentials: Established track record as a Static Stress Approval signatory, with the competence and background to attain full structural Authorisation.Methods & Toolsets: Detailed working knowledge of static stress methods and tools (including ISAMI, GISEH, and Nastran/HyperWorks), backed by solid classical hand-calculation fundamentals.Leadership & Delivery: Proven experience steering engineering work packages to cost, quality, and schedule milestones while championing creative problem-solving and innovation.Stakeholder Influence: Skilled at navigating complex, multi-functional stakeholder networks to align technical airworthiness requirements with customer and programme expectations.Communication: Strong communication skills, with the ability to present technical data clearly for decision-making and reviews. Not a 100% match? No worries! Airbus supports your personal growth with customised development solutions.HOW WE CAN SUPPORT YOUMany of our staff work flexibly in many different ways, including part-time. Please talk to us at the interview about the flexibility you need and we’ll always do our best to accommodate your request. Please let us know if you need us to make any adjustments for the selection process – you can share this with your Talent Acquisition Partner if you are invited to interview. Examples may include (but not exclusive to) accessible facilities; auxiliary aids; room layout, etc. Any information disclosed will be treated in the strictest confidence.As a Disability Confident Employer, Airbus UK will offer an interview to any applicant that considers themselves to have a disability or long-term condition under the Equality Act 2010 and meets the minimum criteria of the role (as set out in the job advert). To ‘opt in’, just select the option during your application submission and your application will be considered accordingly.This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.Company:Airbus Operations LimitedEmployment Type:Permanent-------Experience Level:ProfessionalJob Family:Structure & Dynamic Systems Analysis By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com.At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.SummaryLocation: Bristol AreaType: Full timePosted: 2026-11-05Country: United KingdomRequisition: JR10454578Posting ID: a7dcf1790c7110522d6e26b2fe110000

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Team The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market , shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. About the Role The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production . The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. What You’ll Do Co-architect and co-build production AI agents with customer engineering teams Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows Advise customers post-sale on architecture, best practices, and roadmap-level decisions Run technical demos, trainings, and workshops for developer audiences Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers Occasionally contribute code upstream when it meaningfully improves customer outcomes What You’ll Bring 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up Strong Python, JavaScript and systems fundamentals Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations Can explain technical tradeoffs clearly and build trust with developer audiences Take responsibility for outcomes , not just recommendations Have a bias toward action and enjoy figuring things out as you go Are excited about operating AI agents in production , not just building demos Nice to Have’s You’ve deployed AI agents in production , especially using LangChain, LangGraph , or similar frameworks Worked with LLM evaluation, observability, or guardrails Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts Have shipped and operated production software and are comfortable owning systems under real-world constraints Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more. #J-18808-Ljbffr

Recurvia in Greater London is seeking an experienced Agentic RL Engineer to lead the agentic core of Metrana and contribute to a stealth project in inference-time optimisation. You will own the Metrana agent end to end—designing the agent harness, building evaluation frameworks, running RL-based post-training, and developing autonomous research capabilities to investigate and act on training workloads with minimal supervision. #J-18808-Ljbffr

At PDT, technology is a core driver of our business. Engineers tackle complex technical and quantitative challenges that advance our research methodology and investment approach. We hire exceptionally talented engineers and give them room to grow in a dynamic, supportive environment. The people who thrive here value breadth, continuous learning, and long-term investment in their craft. They find energy in growth that comes from rotating through different teams across the organization. This kind of mobility is central to how we work, allowing engineers to build deep, varied skills and make meaningful impact over time. Our hiring reflects this collaborative culture. We assess every candidate against one talent bar firmwide, then match engineers to the teams that best set them up for success. As a Software Engineer at PDT, you'll build and maintain the technology that powers our quantitative trading business from the data that drives our models to the systems that execute every trade, and everything in between. This is a hybrid position and will require the person to work from our London office at minimum 3 days a week • Builds and maintains the common infrastructure, including distributed locking, centralized logging, metrics, and container orchestration, to drive automation, reliability, and performance at scale., • Engineers, architects, and operates PDT’s cloud and research environments, ensuring reliable and scalable infrastructure across the firm., • Onboards and manages all external datasets consumed across PDT, building and maintaining the infrastructure to reliably download, parse, and validate data at scale., • Develops firm-wide frameworks and serve as a technical resource for researchers., • Engineers and maintains the systems that track trades, positions, and PnL, and reconcile the firm's view against brokers and fund administrators at scale., • Builds and evolves the reporting infrastructure and internal tooling that accounting, compliance and operational teams depend on., • Owns and evolves PDT's core software stack, including packaging, builds, versioning, and CI/CD, while continuously identifying and closing gaps across the developer ecosystem., • Engineers the real-time and historical systems that monitor trading activity, including PnL, alerting, and risk, and builds the tools that enable teams to diagnose issues fast and intervene with confidence., • Develops and operates the real-time market data and trading platforms that connect PDT to brokers and venues globally, including order management, exchange connectivity, and execution infrastructure. PDT Partners has a stellar 30+ year track record and a reputation for excellence. Our goal is to be the best quantitative investment manager in the world measured by the quality of our products, not their size. PDT’s very high employee-retention rate speaks for itself. Our people are intellectually extraordinary, and our community is close-knit, down-to-earth, and diverse. We want engineers who thrive where creativity and energy drive the solutions. At PDT, you’ll tackle hard problems collaboratively, with the focus, agility, and independence to assess a challenge and act. Your work directly shapes our success. For the right talent, the growth potential is enormous. • 3+ years of professional software development experience, • Bachelor’s or Master’s degree in an Engineering or Applied Sciences field from a rigorous academic program or equivalent professional experience, • Experience designing scalable and highly reliable software systems, • Significant experience programming in an object-oriented programming language, • Experience in and enthusiasm for scoping requirements and collaborating with colleague-clients, • Knowledge of, or interest in, trading and finance is beneficial, but not required. PRIVACY STATEMENT: For information on ways PDT may collect, use, and process your personal information, please see PDT’s privacy notices. #J-18808-Ljbffr

A leading AI research firm in London is looking for a Research Engineer to join their ML Performance and Scaling team. The candidate will manage critical aspects of the pretraining pipeline and must have extensive experience with large language models and relevant tools such as JAX and PyTorch. Strong debugging skills and the ability to work under pressure during production launches are essential. This role offers a competitive salary and unique learning opportunities in an operational environment. #J-18808-Ljbffr

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. UP (Unified Platform) consolidates data and technologies into a comprehensive solution, accelerating time to market. Optimizing decision-making and research, our platform simplifies implementing new ideas, enhancing our competitive edge. We work from high-level requirements where programmers are expected to gain an intimate understanding of the business. We strive for an environment where developers have the autonomy to pursue business solutions without arbitrary management constraints. We are a group of polyglots and technologists always seeking to find the right tool for each problem. Broadly, the development teams at DRW believe in rapid deployment and feedback, automated testing, and cohesive, transparent, lightly coupled service architectures. The Platform Services team builds self-service platform products that simplify how development teams interact with infrastructure. Its goal is to let teams focus on delivering business value rather than on platform integrations and infrastructure complexity. Examples include: Access Management – Work towards a single source of truth for who can do what at DRW. Simplify engineering's approach to Identity and Access Management (IAM) by providing a platform that can be used to manage access across DRW's proprietary and third‑party systems. Limit Monitoring – Create a platform for defining and monitoring firmwide trading limits across domains like Risk, Treasury, and Compliance. Data Tables – Provide a best‑of‑breed service for managing lightweight datasets, with built‑in support for temporal (point‑in‑time) data, access controls, APIs, and front end. Usage – Normalize the collection, storage, and presentation of usage data to provide insight into how services and data are being used and why. As a Senior Software Engineer, you will define, develop, and own services that form the foundation of DRW's Unified Platform. • Architect and deliver complex features end‑to‑end with minimal oversight., • Turn high‑level requirements into solutions, drawing on a deep understanding of the business., • Maintain a constant focus on testing, reliability, scalability, and maintainability., • Design systems, model data, and write code across a variety of languages and technologies., • Evolve legacy code alongside greenfield development., • Learn and promote new technologies with a focus on best practices., • Engage in on‑call and production support activities., • Contribute to system and architecture design discussions., • Challenge ideas and participate in defining the path forward., • 7+ years of experience in server‑side development using major programming languages such as Java, Ruby, Python, Clojure, or C#., • Strong understanding of system and architecture design principles, especially in the context of distributed systems., • Ability to own projects, define requirements, and lead their development., • Excellent problem‑solving skills, with the capacity to work on both software development and support tasks., • Strong communication and interpersonal skills., • Experience with Platform as a Service (PaaS) and the transformation of services into products., • Experience with IAM concepts such as RBAC/ABAC, OAuth 2.0/OIDC, or SCIM., • Experience with temporal data modeling and designing APIs consumed by other teams., • Experience building real‑time or event‑driven systems. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at privacy-notice. California residents, please review the California Privacy Notice for information about certain legal rights at california-privacy-notice. #LI-MM1 #J-18808-Ljbffr