101 to 125 of 184 Machine Learning Jobs in Central London

Track record working on data-intensive or high-scale systems Exposure to cloud infrastructure (AWS/Azure/GCP), Kubernetes, or similar Understanding of ML/AI systems in production is a strong plus You’re a builder, not just a manager You’re comfortable with ambiguity and pace ...

. Deliver high-quality, production-ready code in an agile environment . Participate in code reviews and engineering best practice . Apply AI/ML techniques where appropriate . Required Skills & Experience for the Full Stack Engineer (Data): 5+ years experience in full-stack development or data integration/migration ...

ideas Building a brand-new AI function with huge visibility and impact What They’re Looking For Proven experience designing & deploying AI/ML solutions Expert knowledge of LLMs, AI frameworks & agent-based systems Experience in building RAG Systems Cloud expertise across AWS/Azure/GCP Ability to turn ...

design, accessibility standards and code maintainability. Nice to Have Experience with server‐side rendering or static site generation (Next.js). Exposure to AI/ML integrations or advanced analytics in a front‐end context. Familiarity with GraphQL or micro‐frontend architectures or enterprise‐grade front‐end tooling. What We Offer ...

GDPR Article 22, automated decision-making, profiling) AIRA methodologies, including bias, fairness, explainability and human oversight considerations. AI technologies and the AI/ML lifecycle, including generative AI, foundation models, and traditional ML. The recruitment industry and/or equivalent highly regulated industry Working in global multi-jurisdictional environments Recruitment ...

coding models on a language with no pretraining footprint, including the supervised and reinforcement stages that build competence from zero. Publish in PL and ML venues. Choose the next experiments. Help shape what verified computing looks like in the wild. Who you are You publish at top venues in some … combination of machine learning, programming languages, or formal methods. People who cross between them are who we want most. PhD preferred, equivalent output equally fine. You can talk fluently about both training dynamics and type systems. You do not need expertise in both, but you need real curiosity ...

Lead end-to-end product design (discovery concept delivery) Design intuitive AI-powered user experiences using Human-Centred AI principles Translate complex AI/ML capabilities into clear, usable interfaces Own key workstreams with high autonomy Present design decisions and insights to senior stakeholders Champion user-centred design, accessibility … looking for Strong background in Product/UX/Service Design Experience designing AI-powered products or features Ability to simplify complex data and ML concepts into user-friendly design Proven experience leading end-to-end design delivery Strong skills in research, prototyping, and interaction design Experience working in cross ...

Principal Product Data Scientist in London. You will join the Operations Delivery Intelligence directorate, focusing on creating decision-support software using advanced machine learning techniques. The ideal candidate will have a master's degree or extensive experience in data science and strong Python skills. Opportunities for development ...

agent capabilities Iterate continuously based on real-world usage, feedback, and outcomes WHAT WE'RE LOOKING FOR 5+ years of experience in applied AI, machine learning, or software engineering Concrete, hands-on experience building and deploying LLMs and agentic frameworks in production Strong Python engineering skills Strong systems ...

example, large‐scale linkage of NHS data with non‐healthcare resources (e.g. HMRC or Department for Education datasets) and the development or evaluation of machine‐learning models intended to inform clinical or operational decision‐making. These projects require advanced governance, reproducibility, explainability and senior technical assurance to ensure ...

including work with data platforms, models, or analytics products Strong technical understanding of data systems, analytics, and data governance principles SQL, databricks, AI/ML product experience Ability to collaborate effectively with both technical and non-technical stakeholders Experience with agile methodologies, product lifecycle management, and roadmap planning Customer-focused ...

completely re-imagine how they train and deploy their talent pools. You’ll start by helping shape a new generation of engineers — people learning how to build properly across data, AI, and modern systems. But this isn’t about slides or theory. It’s about teaching what actually works … both without compromise. Skills & Experience Required Educated to degree level in a STEM subject; Mathematics, Statistics, Engineering, Chemistry, Physics, Computer Science, Machine Learning A commercial background in building and delivering data science and AI solutions end to end Ability to lead teach and deploy teams of engineers, data ...

mind • R&D work for functional programming (either pre-existing languages (such as Rust and Erlang), or purpose-built languages similar to OCaml • Machine Learning Infrastructure and search models • Quant Logic/Research models for Alpha Generation Key Responsibilities Design, develop, and maintain scalable, high-performance applications Build ...

High attention to detail and pride in engineering craft Comfortable operating in ambiguity and moving quickly Bonus points for: Academic or applied experience in machine learning Experience bridging research and production systems What’s on Offer £150,000 depending on experience Meaningful early-stage equity 5% employer pension ...

kind of pricing infrastructure every pricing professional aspires to work with: High-quality, accessible data A fast, flexible rating algorithm deploy changes in hours Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development An operating model that gives complete autonomy to pricing professionals to dream ...

Role • Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. • Work closely with client teams on the ground to embed solutions directly into operations. • Guide multi‐disciplinary teams ...

record of closing deals. Based in the UK with experience selling into UK/EU markets. Strong understanding of AI technologies (e.g., generative AI, machine learning, NLP, automation). Excellent consultative selling, communication, and stakeholder management skills. Experience selling into enterprise, healthcare, research tech, or public sector organisations ...

model risk management Experience working outside regulated risk environments Desirable: Industry experience in finance, automotive, or similar sectors, plus exposure to advanced techniques like machine learning or predictive modelling What you’ll get in return Up to £90,000 base salary, plus a strong bonus and a comprehensive ...

Including use of libraries such as NumPy, SciPy and Pandas for quantitative analysis and prototyping Proven experience applying numerical optimisation techniques and/or machine learning methods to pricing, trading or market-related problems Prior experience in client pricing, electronic trading, or a closely related quantitative trading environment ...

technology market A track record of consistent billing within a recruitment setting Experience developing and managing hiring partnerships within Software Engineering, Data, Machine Learning or AI markets Strong commercial awareness and ability to sell hiring solutions Ability to operate within a high-performance environment Why Signify? Signify ...

/EU technology market A track record of consistent billing within a recruitment setting Experience developing and managing hiring partnerships within Software Engineering, Data, Machine Learning or AI markets Strong commercial awareness and ability to sell hiring solutions Ability to operate within a high-performance environment Why Signify ...

most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around ...

Antenna Materials Power Semiconductor Devices – including GaN and SiC Materials 5. Emerging & Priority Fields Biomedicine: Cell Therapy, Molecular Immunology, Biopharmaceuticals, Drug Development Artificial Intelligence: Machine Learning, Computer Vision, Intelligent Manufacturing Sustainability: Carbon Neutrality, Environmental Engineering, Green Resources 6. Key Responsibilities Conduct independent and/or collaborative scientific research ...

Central London with good commuting from Cambridge, Hertfordshire, Buckinghamshire and surrounding areas, is working on a disruptive technology for sustainability, utilising AI/ML Techniques, will involve an experience FPGA Design Engineer to complement an existing team bringing strong technical expertise to help deliver and xPU interface solutions. Responsibilities will ...

scratch Comfortable working in fast-paced, evolving environments Interested in startup or high-growth settings Collaborative, pragmatic, and user-focused Interest in AI/ML is a bonus Additional Information London-based role with primarily in-office working Competitive salary Relocation support available for candidates moving to London from within ...