2,451 to 2,475 of 3,534 Machine Learning Jobs in London

JPMorgan Commercial & Investment Bank is seeking an experienced Applied AI/ML Senior Associate Machine Learning Engineer to advance AI in financial services. The role combines research with software engineering to deploy scalable ML products across business lines, leveraging NLP, vision, and statistical ML techniques. You will contribute ...

Research Engineer - AI/ML/LLM We are partnered with a global leader in the semiconductor industry. The team is looking to hire a Research Engineer to contribute to cutting-edge AI projects spanning both applied and fundamental research, with a focus on applying AI to semiconductor design … This is a permanent opportunity based in London or Cambourne, UK. Key responsibilities for this Research Engineer position: Implement and test research ideas across machine learning and AI. Build prototypes and support experiments for team and company projects. Collaborate with researchers to translate theoretical models into practical systems. ...

JPMorgan Commercial & Investment Bank is seeking an outstanding Applied AI/ML Senior Associate Machine Learning Engineer to advance state‐of‐the‐art AI in financial services. You will blend research with software engineering, build reusable AI components, and help automate decisions across business domains. The role emphasizes … collaboration with cloud, SRE, and software teams, delivering production ML services while maintaining rigorous documentation and compliance practices. #J-18808-Ljbffr ...

London is seeking an experienced Machine Learning engineer to drive product-focused ML features. You will lead prototypes to production, collaborate with Product and Design, and mentor other engineers. The role emphasizes researching algorithms, evaluating models offline, and shipping ML products that impact customers. ...

Anaplan Inc is looking for a Principal Machine Learning Engineer in Greater London. In this role, you will lead … architecture, design, and deployment of scalable AI systems. Your work will empower business users to leverage GenAI within their planning workflows, demanding both deep ML knowledge and software engineering skills. The ideal candidate has extensive experience in AI and ML, with a strong understanding of LLMs and prompt engineering. Anaplan ...

BeyondMath, located in Greater London, seeks a Machine Learning Engineer to advance their Generative Physics simulation platform. You will design and train AI models for physics simulation … optimizing performance while integrating into engineering workflows. The ideal candidate has a Master’s (PhD preferred) in a relevant field and strong experience with ML applications in physical systems. Join an elite team driving impactful technology in sustainable energy and efficient transport. #J-18808-Ljbffr ...

Voleon Group is seeking a Senior Machine Learning Engineer to join our Research … team in London. You will translate research ideas into production-grade code, build data pipelines and modeling infrastructure, and contribute to scalable, high-performance ML systems driving our quantitative trading strategies. Working at the intersection of Computer Science, Mathematics and Statistics, you will collaborate with PhD researchers, ensure correctness ...

J.P. Morgan is seeking a Machine Learning Engineer to design and deliver production-grade AI solutions, bridging software engineering and research … scale enterprise applications. You will collaborate with cloud and SRE teams to build robust architectures, mentor teammates, and translate research into business-ready ML systems across a highly secure enterprise environment. This role offers opportunities for career growth and impactful work shaping banking operations. #J-18808-Ljbffr ...

Qureight Ltd. is seeking a Machine Learning Engineer to build, train, optimise and deploy state … computer vision models for 3D medical imaging. You will develop scalable inference pipelines, improve data loading and CI tooling, and collaborate with ML Scientists, DevOps, Data Engineering and Software Engineering teams. You'll work with Python, PyTorch, Docker and cloud environments to turn research models into robust production workflows that ...

leading electric vehicle manufacturer in the UK is looking for a full-time Machine Learning Engineer. The successful candidate will work on cutting-edge AI infrastructure aimed at developing state-of-the-art autonomous driving solutions. This role includes designing and deploying large deep learning models, enhancing ...

leveraging AI and Generative AI techniques. Your role requires you to apply statistical, mathematical and scientific methods including exploratory data analysis, predictive modelling, machine learning, deep learning, hypothesis testing, optimisation techniques and emerging Generative AI methodologies to extract meaningful insights that inform strategic and operational decisions. … iteratively refine scripts and algorithms using data science programming best practices, including version control and reproducibility and developing in, and helping to shape, an ML Ops framework and environment Develop robust analytical solutions and algorithms from extensive customer and operational datasets, including ticketing, sensor, telemetry and vehicle log data. Integrate ...

techniques such as time-series methods, machine learning and NLP to extract value from dataAnalyze large data sets using advanced statistical and ML methods to identify trading opportunitiesHelp to develop statistical and ML based tools and techniques to solve complex data related problems throughout the firm.Typical Day:Primary … focus throughout the day is on researching new statistical and ML techniques and exploring datasetsDiscuss and present research results with other researchersDeploy and monitor models used to generate trading signals.Required Qualifications:Quantitative background - includes advanced degrees in computer science, machine learning/NLP, statistics, signal processing, optimization, mathematics ...

ready to define how machine‐learning systems are delivered, operated, and scaled across a data‐driven organisation? NewDay are looking for aLead ML Engineer to set the standards, patterns, and technical foundations that define how machine learning models are delivered and operated in production. Why this … role matters As the technical lead within our MLOps function, you will shape how ML is engineered in practice. This role will focus on establishing the standards, patterns, and technical approaches that enable models to move reliably from experimentation into robust production. You will shape how ML systems are engineered ...

London Stock Exchange Group is seeking an experienced Data Scientist to develop and deploy enterprise-scale AI and machine learning solutions that enhance operational efficiency, service resilience and customer outcomes. You will collaborate with software engineers, SREs, product managers and stakeholders to translate complex data into actionable insights ...

what we offer.Job DescriptionAbout the role:Wise moves billions across borders every year. Behind every transaction is a decision: is this safe? Our ML systems make that call - at scale, in real time, across every market we operate in.Our Risk ML team is building the next generation of financial crime … learning, graph neural networks, and foundation models to detect increasingly sophisticated fraud and money laundering patterns. We're looking for a Staff Applied ML Engineer to lead this evolution: defining the architecture strategy, shipping production neural models, and building the blueprint that scales across FinCrime domains.This is a greenfield ...

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. ...

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 ...

Craft:Data, Analytics & StrategyJob Description:Senior Principal AI/ML Engineer – Decision AutomationCandy Crush Saga | KingAre you motivated by building the shared decisioning foundations for how a live game learns, experiments, and adapts at scale Join King as a Senior Principal AI/ML Engineer in the Decision Automationteam … Candy Crush Saga. In this role, you will help turn fragmented AI/ML and decisioning approaches into scalable, production-grade systems that support faster experimentation, safer adaptation, and more coherent player experiences across the game.This is a hands-on senior technical leadership role. You will shape direction through architecture ...

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 ...

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. ...

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 by working on projects such as:Building a high-performance data loading … caching pipeline.Implementing performance profiling across the ML systems stackDeveloping internal metrics and monitoring for training runs.Building reproducibility and regression testing infrastructure.Developing a performant fault-tolerant distributed checkpointing system.Key Responsibilities:Build and own the training framework responsible for large-scale LLM training.Design distributed training abstractions (data/tensor/pipeline parallelism ...

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 ...

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 ...

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 ...

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 ...