Machine Learning Jobs in Woking

Anthropic · London · £255,000 – £325,000 pa

Builds and operates security for large-scale AI clusters across multiple clouds and bare-metal data centers, covering IAM, network segmentation, encryption, default-deny ingress/egress and mTLS with service identity. Ships controls as secure defaults via infrastructure as code and GitOps, and designs secure CI/CD and Kubernetes security practices. Partners with infrastructure, networking and data center teams at design time, and mentors engineers.

Anthropic · London

About AnthropicAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers,...

Capital One · Nottingham

Develops and maintains the statistical and machine learning models behind customer lending and underwriting decisions, using Python and large-scale data. Involves advanced feature generation, statistical test design and Model Risk Management documentation, working closely with business partners in a hybrid Nottingham team.

Cirrus Selection · Filton · £45,000 – £58,000 pa

Research, develop and evaluate image processing and computer vision algorithms within a specialist team, applying AI and deep learning to segmentation, object detection, tracking and classification. Work spans optical flow, pose estimation, particle filtering and computational imaging using MATLAB, Simulink and Python with PyTorch, collaborating with multidisciplinary engineers to turn research into practical applications.

NVIDIA · Bristol

Research and develop techniques to GPU-accelerate leading high performance computing applications across scientific computing, computational engineering and data science. The intern performs in-depth analysis and optimisation for current and next-generation GPU architectures, working with application developers and collaborating with architecture, research, libraries, tools and system software teams.

University of Oxford · Oxford · £39,424 – £47,779 pa

Develops novel statistical and machine learning methods for large-scale genomic, phenotypic and health data, covering areas such as genomic language models, multimodal and federated learning, and multi-ancestry methods. The role involves building scalable, reproducible research software, applying it to biobank-scale datasets, publishing findings and guiding junior researchers within the Palamara Group.

OpenAI · London

Lead a team of senior Applied AI Architects acting as technical CTOs for OpenAI's largest North EMEA customers, owning technical account plans across ChatGPT Enterprise, the API, Codex and agentic solutions. Sets the regional operating model with Sales, allocating technical resources and guiding customers from pre-sales discovery through production adoption.

NVIDIA · Zürich, Switzerland

Research and develop techniques to GPU-accelerate leading high performance computing applications across scientific computing, computational engineering and data science. The intern performs in-depth performance analysis and optimisation for current and next-generation GPU architectures, working directly with application developers and collaborating with architecture, research, libraries, tools and system software teams.

TTP · Cambridge

Consultants design and deploy machine learning systems for diverse defence and security projects, from proofs-of-concept to working prototypes. The role spans literature analysis, model training, rapid prototyping and experiment design, often combining science, engineering and ML in novel settings. Work is on-site in Cambridge within a flat, collaborative team of around 40 specialists.

Ocado · Erith

You'll be the principal point of contact for critical technical issues at Ocado's largest operational Customer Fulfilment Centre, keeping the 24/7 operation running through proactive improvement works and maintenance on conveyor networks, lifts and cranes. The role works a 12-hour shift pattern across days, nights and weekends, with a strong emphasis on health and safety and working at height.

Ocado · Erith

First-line responder for engineering faults in a highly automated Customer Fulfilment Centre, diagnosing and resolving issues that affect performance. Carries out planned servicing and repairs and contributes to proactive reliability and efficiency projects, working with robotics, PLCs, SCADA and conveyors. Shift-based cover for a 24/7 operation on 12-hour days, nights and weekends.

Harnham - Data and Analytics Recruitment · London · £100,000 – £140,000 pa

Build and lead multimodal AI applications spanning text, audio and video, including AI-generated avatars and automated content summarisation, within a growing AI team in a tech-led media organisation. The role involves translating business needs into scalable production AI products and collaborating with a multidisciplinary data function.

Tenth Revolution Group · London · £80,000 – £90,000 pa

This role involves designing and deploying AI-native applications using Large Language Models, agentic systems, and multimodal AI technologies. The engineer will build full-stack solutions, including intelligent agent workflows on Google’s Gemini platform, RAG architectures, and scalable front-end interfaces with React and Svelte. Collaboration with stakeholders to deliver production-grade AI applications that solve real business problems is a core responsibility.

Harnham - Data and Analytics Recruitment · Abingdon · US$200,000 – US$220,000 pa

Engineering-focused role taking machine learning solutions from concept to production, covering model design, training, deployment, MLOps, infrastructure and scalability. Works closely with engineering, product and domain experts in a small, highly technical team, with an emphasis on shipping robust production ML systems rather than pure research.

Tenth Revolution Group · Southampton · £85,000 – £100,000 pa

Own the design and build of scalable data platforms, pipelines and secure data services on AWS, spanning S3, Glue, Redshift, Athena, Lambda and Step Functions. Combines hands-on engineering with technical leadership, setting standards for data quality, governance and observability while enabling ML, AI and business intelligence across a venture-backed AI company.