Machine Learning Jobs in Woking

CureAge Therapeutics · London

Lead the computationally guided design of a lipid nanoparticle delivery platform, applying chemical and biophysical principles to optimise LNP composition and formulation. Use AI-enabled chemistry, cheminformatics, predictive models and molecular modelling to prioritise formulation components, working closely with the experimental team and founding team in a small start-up.

Hadean · London

Lead a multidisciplinary engineering team building dominAI, an AI-powered defence product, line-managing AI/ML, simulation, infrastructure and web engineers while staying hands-on in TypeScript, React and Node. Own delivery end-to-end, hiring and people development, partnering with Product and technical leads. Hybrid, one day a week in Shoreditch.

eFinancialCareers · London

This role involves researching and developing mathematical and statistical models for systematic investment strategies, using advanced techniques in machine learning and large-scale data analysis. The researcher will work across the full lifecycle—from hypothesis generation and model testing to production implementation—within a collaborative environment alongside portfolio managers and engineers. The position emphasizes original, rigorous research applied to global financial and alternative datasets.

eFinancialCareers · London

This role involves conducting original quantitative research to develop statistical and mathematical models for trading, using large, noisy datasets and proprietary infrastructure processing billions of market events daily. The scientist will translate research into production code, peer-review ideas, and explore unconventional approaches with potential investment value. The position emphasizes deep mathematical problem-solving, programming rigor, and collaboration in a research-driven, intellectually autonomous environment.

University of Hertfordshire · Hatfield · £39,560 – £46,970 pa

Postdoctoral role delivering research on innovative AI/ML algorithms for predictive modelling and optimisation of agricultural applications using heterogeneous data, as part of an Innovate UK-funded collaborative project. Duties include developing AI/ML software tools, data management and analysis, supporting the Principal Investigator on project milestones, and contributing to publications and reports.

Ocado · London

Builds AI-powered planning systems for global warehouses and last-mile operations, developing machine learning models, optimisation algorithms and operational simulations. Takes high-impact models from prototype to monitored production, sets technical direction and mentors data scientists while working with engineers, product managers and external retail partners.

C4S Search Ltd · London · £600 – £650 pd

Design, build and deploy machine learning models into production, with a focus on recommendation systems covering ranking and search optimisation. Work alongside data scientists, engineers and product stakeholders, maintaining MLOps pipelines and ensuring scalability of ML systems on Azure. Six-month contract within a hybrid North London team.

Harnham - Data and Analytics Recruitment · London · £50,000 – £65,000 pa

Join a growing data and analytics team where your work directly influences commercial decisions and customer engagement. You will build predictive models and machine learning techniques, prepare and cleanse data from multiple sources, and translate analytical findings into clear stories for technical and non-technical audiences.

Ocado · Hatfield

Builds and maintains the core data warehouse powering analytics, reporting, machine learning and partner data products. Designs scalable ELT/ETL pipelines, dimensional models and reusable dbt transformations, with automated data quality checks and performance tuning. Works in an agile team alongside data scientists, analysts and platform engineers on Google BigQuery and Airflow.

Spencer Rose · Bristol · £450 – £480 pd

Designs, builds and deploys end-to-end AI/ML solutions for a banking client's Coach AI programme, including LLM-powered assistants, copilots and multi-agent agentic systems. Works across NLP, computer vision and voice AI, building ML pipelines and production deployment with MLOps, guardrails and Responsible AI governance. Also acts as senior lead, grooming the internal team and collaborating with stakeholders.

Tenth Revolution Group · London · £95,000 – £125,000 pa

Architect and implement Databricks Lakehouse solutions covering ingestion, processing, storage, governance and analytics for enterprise clients. The role involves leading architectural engagements, tuning workloads for performance and cost, and building CI/CD pipelines with Databricks Repos, GitHub Actions and Azure DevOps, while advising clients on data strategy and governance.

Amazon · London

Interns own the full lifecycle of their code, from design through deployment and operations, building scalable services on cross-disciplinary teams. They use GenAI and AI tools to boost productivity, participate in code reviews, and take on operational duties including on-call, with mentorship from a dedicated manager and mentor.

Cambridge Consultants · United Kingdom

This role involves providing regulatory expertise across diverse innovation projects, supporting multidisciplinary teams in meeting international quality and compliance standards. The specialist will interpret evolving regulations, contribute to quality management systems, and help shape regulatory strategies across medical and non-medical sectors. It offers broad exposure to global markets and emerging technologies within a consultancy environment.

Latent Labs · London

Architect novel generative models to design functional proteins, working in an interdisciplinary team of ML researchers, protein engineers and biologists. The role spans data curation, evaluation metrics, rapid prototyping, cloud training and inference optimisation, plus planning wet lab testing campaigns with the bio team.

University of Oxford · Oxford · £49,119 – £59,955 pa

Lead a research strand on Bayesian methods for evaluating and monitoring AI systems, publishing findings, running the lab's open-source software, producing policy-facing outputs, and guiding research assistants and students. Based in the Bayesian Governance Lab within the Department of Engineering Science, in collaboration with the Oxford Martin AI Governance Initiative, on a two-year fixed-term post.

OpenAI · London

Builds the production infrastructure behind Codex agents: sandboxed execution environments, orchestration for multi-step tool-using workflows, state and memory systems for long-running tasks, and app-server/SDK boundaries. Works at the intersection of distributed systems, developer tooling and AI, optimising tokens, latency, reliability and cost across a fleet of frontier agents.

OpenAI · London

Builds and improves the core execution loop of Codex agents, working across prompting, tool-use strategies, context construction and model-facing experimentation. Runs evals to measure solve rate, regressions and failure modes, and turns production failures into reliability and robustness gains. Sits between research, infrastructure and product to make agents dependable on real software engineering tasks.