2,551 to 2,575 of 2,755 Machine Learning Jobs in London

.NET Developer, .NET 10.0, C# 14 - Digital Download Site - London (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer ...

Model ML is an AI workflow company transforming how major financial institutions build and validate client-ready AI-powered processes. You will own large portions of our AI agent infrastructure, designing and deploying multi-agent systems and RAG pipelines while delivering features at scale. Join a fast-growing fintech platform ...

Permanent About the Role We're recruiting on behalf of a major, well-established organisation for an MLOps Technical Manager to lead a growing ML engineering function. This is a genuinely interesting project: you'll work closely with data scientists, maintenance engineers, and cross-functional stakeholders to deliver scalable ML … systems — including predictive maintenance, fault detection, and component lifecycle optimisation. You'll own end-to-end technical delivery of ML systems, from backend infrastructure through to frontend integration, while leading and mentoring a team of engineers. This is a hands-on leadership(40% hands on) role for someone who wants ...

JPMorgan Chase & Co. is seeking an Applied AI/ML Lead – Vice President to drive ML engineering across strategic teams. You’ll combine NLP, CV, and statistical ML to automate decisions and scale data-driven intelligence. You’ll lead design of scalable ML services, collaborate with software engineers ...

Build and deploy production AI agents and ML pipelines for enterprise automation. London, UK 4+ yrs Posted 3 days ago Plus benefits, bonus and learning budget Responsibilities Own delivery of major features end-to-end, from technical design through production deployment. Lead architecture and code reviews for a team ...

CVFine by Instrovate Technologies is seeking an ML Model Governance Lead in London to ensure AI models are accurate and compliant. This senior role involves designing governance frameworks and leading validation activities. Candidates should have 7+ years of experience in model risk management and strong skills in Python and ML ...

scalable model training — and build the tooling that connects research ideas to thousands of GPUs. If you enjoy working across the full stack of ML systems, this role gives you the opportunity and autonomy to have massive impact. What You’ll Work On Build and own the training framework responsible … closely with infra teams to ensure our cluster, container environments, and hardware configurations support high-performance training. Investigate and resolve performance bottlenecks across the ML systems stack. Build robust systems that ensure reproducible, debuggable, large-scale runs. You Might Be a Good Fit If You Have Strong engineering experience ...

DIONIX AI is seeking an AI/ML Engineer specializing in Large Language Models and Generative AI for its B2B SaaS products. You will design, build, and deploy agentic workflows, and predictive models, collaborating with frontend and backend teams to integrate AI features using LangChain, LlamaIndex, and OpenAI/Anthropic ...

Xantura Limited is looking for a Senior ML Ops Engineer to join the Platform Delivery team. You will evolve the backend platform supporting their AI services, ensuring reliable operations for local authority clients. The ideal candidate has strong Python skills, experience in MLOps, and a solid background in Azure-native ...

profitable predictive trading models. We are seeking world-class engineers to collaborate with our research, trading, engineering teams to build state-of-the-art ML systems that solve some of the most complex problems in quantitative finance. Whether optimising training pipelines on high-performance computing clusters, developing low-latency inference … fast-paced, collaborative environment. If you are driven by technical challenges, eager to work with large-scale systems, and passionate about advancing ML capabilities, we want to meet you. What you\'ll do: Apply state-of-the-art techniques to complex and challenging domains. Work closely with researchers and quants ...

profitable predictive trading models. We are seeking world-class engineers to collaborate with our research, trading, engineering teams to build state-of-the-art ML systems that solve some of the most complex problems in quantitative finance. Whether optimizing training pipelines on high-performance computing clusters, developing low-latency inference … fast-paced, collaborative environment. If you are driven by technical challenges, eager to work with large-scale systems, and passionate about advancing ML capabilities, we want to meet you. What you'll do: Apply state-of-the-art techniques to complex and challenging domains. Work closely with researchers and quants ...

London Stock Exchange Group in London is seeking a Senior ML Engineer to advance safe, scalable agentic AI capabilities across the enterprise. You will design and operate MCP-based platforms and collaborate with product teams to deliver reliable AI tooling. The role requires strong Python, expertise with LLM frameworks, FastAPI ...

J.P. Morgan is seeking a Senior Lead Software Engineer to lead a technical area within the AI/ML & Data Platforms group in London. You will drive impact across teams, technologies, and projects, serving as a primary decision maker and innovator in solution delivery. Responsibilities include leading technology implementations, building ...

experienced individual to architect 3D object detection models. The ideal candidate will have a Master’s or PhD in Computer Science, Robotics, or Deep Learning, and over 5 years of experience in deploying 2D/3D object detection models. Responsibilities include building data evaluation pipelines and mentoring junior engineers. ...

world-model objectives that turn multimodal data (video, action, state, language) into generalisable robot capabilities. Lead, grow, and mentor a team of deep learning engineers focused on pretraining, setting research direction and engineering standards. Design and run large-scale distributed training on multi-node GPU clusters; drive throughput, stability … transformer and diffusion architectures, multimodal training, and the practicalities of distributed training Strong Python + PyTorch/JAX; you can debug and profile ML systems and write maintainable research code. A track record of making data-driven scaling decisions and communicating trade-offs crisply to both researchers and leadership. ...

Consulting in London is seeking a Senior Data Scientist to join the AI Build Team. You will develop end-to-end ML/AI solutions that clients can rely on in production, mentor juniors, and lead sub-projects across varied industries. The role emphasizes data management, modeling, engineering, and collaboration ...

Senior Software Engineer to design and build scalable full‐stack systems powering billions of ad interactions. You will work across backend and frontend with ML pipelines and AI features, collaborating with UX, Product, Sales and data teams to continuously improve Ads products and developer experiences. This role offers leadership opportunities ...

large new areas of Scale GP (Scale Generative AI Platform). You will work across backend, frontend, and interfaces with LLMs and ML models to push scalable, reliable systems in a fast-paced environment. You will deliver experiments rapidly with high quality, spanning the full product lifecycle from concept ...

Firmwide Chief Analytics Office, Model Risk Governance & Review, Legal, Compliance & Controls to establish and enforce policies and standards that promote responsible AI/ML and Generative AI model development and usage click apply for full job details ...

UK. In this role, you will lead technical strategies for partners involved in cloud adoption and modernization, focusing on advanced technologies including AI/ML and HPC. Your experience should include over 8 years in cloud computing or related domains, along with strong consultative and leadership skills. The position demands ...

scalable technology products with a focus on Cloud-native data, backend, and AIML engineering to production scale. You will work on challenging AI/ML data solutions, with a hands-on engineering role and influence on code quality, security, and delivery speed across teams. #J-18808-Ljbffr ...

today, with a strong emphasis on defining the future product and platform experience, patterns, and contribution pathways that will enable federated scale over time. ML Engineers – Responsibilities & SkillsResponsibilities* Design and build MCP servers and tools that expose enterprise systems and workflows to AI agents.* Implement Skills that orchestrate tools, data ...

Your responsibilities We are looking for a Senior Research Scientist to lead fine-tuning, post-training, and reinforcement learning for the next generation of DeepL's document translation multimodal and vision models. This is a high-impact, hands-on role for a researcher who can own a major research … augmentations, and/or reasoning about data mixtures and ablations. A hands‐on builder who enjoys training models, running experiments, debugging pipelines, and integrating ML systems into production while staying grounded in product impact and real‐world quality. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow ...

J.P. MORGAN is seeking an Applied AI ML Director specializing in NLP/LLM and graphs to apply advanced ML techniques to real-world problems. The role emphasizes collaboration across business and technology teams to deploy scalable AI solutions with a strong focus on governance and regulatory compliance. The candidate … should have a PhD or equivalent experience in quantitative fields, deep learning expertise, and a proven record in building agentic AI systems that operate in regulated environments. #J-18808-Ljbffr ...

scalable solutions that directly impact customer outcomes. Full-Stack Development – Utilize React, TypeScript, Node.js, and Python to develop robust applications and tools. AI/ML Applications – Design, implement, and iterate on AI/ML solutions, including LLM prompting, tuning of voices, and transcribers to optimize use cases. Integration & APIs – Manage ...