Machine Learning Jobs in Woking

Anthropic · London · £225,000 – £255,000 pa

Join the Beneficial Deployments Life Sciences team to help labs automate experiments end-to-end with Claude, from advising and prototyping to writing production code. You'll deploy the Model Hardware Standard, build reusable cookbooks and evals, and shape internal product and research direction, with significant travel as an EMEA ambassador.

Anthropic · London

A four-month, full-time research fellowship for people moving into empirical AI safety and security work, with direct mentorship from Anthropic researchers and a goal of producing a public output such as a paper. Fellows work mainly on external infrastructure like open-source models and public APIs, choosing from areas such as scalable oversight, adversarial robustness, model organisms, mechanistic interpretability, AI welfare, and red teaming.

Wayve · London

Owns the architecture, strategy and integrity of safety cases for robotaxi and OEM ADAS products, defining top-level claims, argumentation structures and evidence traceability. Sits independently from Engineering and Product, providing expert challenge and oversight across AI/ML, systems, validation and operational safety. Focuses on safety arguments for AI-enabled autonomous driving, including functional safety, SOTIF and post-deployment monitoring.

NVIDIA · United Kingdom

Lead security research, architecture and implementation for next-generation NVIDIA Networking products, taking a hands-on role defining hardware and software security solutions. Work across internal teams and external partners on IO interfaces, boot architecture, RISC-V, root-of-trust and low-level firmware, guiding open-source implementation and customer security issues.

NVIDIA · Belfast

Lead security research, architecture and implementation for next-generation NVIDIA Networking products, taking a hands-on role defining hardware and software security solutions. Work across internal teams and external partners on IO interfaces, boot architecture, RISC-V, root-of-trust and secure platforms, guiding microarchitectural definition and open-source collaboration.

Luminance · London

You guide enterprise legal teams through concurrent implementations of an AI contract intelligence platform, running discovery sessions, translating requirements into scalable configurations, and delivering training to varied user groups. Working with Customer Success and Product, you manage milestones, flag risks early, and feed recurring patterns back into team playbooks to make future rollouts faster.

Cambridge Consultants · United Kingdom

This role involves leading the design and development of advanced digital electronics and FPGA-based systems for cutting-edge communications technologies, including Low Earth Orbit Satellites and High-Altitude Platform Systems. The engineer will work on high-speed board-level design, FPGA verification, and system architecture within small, interdisciplinary teams. Projects are innovative and varied, spanning telecommunications, healthcare, and sustainable energy, with access to in-house prototyping and testing facilities.

Copello · Bristol · £54,000 – £58,000 pa

Develops and evaluates image processing, computer vision and deep learning algorithms for imaging sensor systems, covering segmentation, noise removal, tracking, pose estimation and classification. Works on-site in Bristol within a cross-functional team, supporting research into emerging AI/ML technologies and integrating algorithms into larger operational systems.

Adria Solutions · Huddersfield · £55,000 – £70,000 pa

Develops software and applied AI models for machine vision, working across C++, C# and Python to build image-processing algorithms and integrate models into reliable applications. Covers the full lifecycle from dataset preparation and model evaluation to testing, performance tuning and diagnosing image quality or integration issues. Hybrid or remote, with a path to lead an AI team.

Randstad Technologies Recruitment · London · £432 – £484 pd

Design and deploy production-grade Generative AI workflows and backend security guardrails for a global financial institution's AI Centre of Excellence. The role spans PII/MNPI sanitisation, prompt-injection defence, Python or Java GenAI and ML solutions, AWS/Azure data pipelines with Airflow, plus roughly 20-25% frontend and UI work for guardrail tooling, alongside production support and evaluation metrics.

Wayve · London

Builds Python services and microservices that orchestrate the end-to-end model-release workflow, integrating feature candidates into release branches and automating readiness checks before training. Connects training platforms, simulation and on-road testing, surfacing quality gates and approvals, and productionises services on Azure and Kubernetes with strong observability. Works across Model Engineering, MLOps, Measurement, Evaluation, Simulation and Release Management.

Capital One · Loughborough

Develops and maintains the statistical and machine learning models behind customer lending and underwriting decisions, with a strong emphasis on Model Risk Management, validation and monitoring. Involves advanced feature generation, complex statistical test design and large-scale data work in Python, collaborating closely with business partners. Hybrid role based in Nottingham, three days a week in office.

Capital One · Lincoln

Develops and maintains the statistical and machine learning models behind underwriting and customer lending decisions, using Python and advanced feature generation on large datasets. Involves model risk management, documentation and validation, plus consulting on statistical test design with business partners. Hybrid role in Nottingham, three days in-office.

Amazon · London

Sets the science direction for a customer-facing applied science team, leading rapid prototyping engagements with AWS customers and partners. Drives prototypes involving large language models, generative multi-modal models and computer vision, while recruiting and mentoring Applied Scientists and establishing team mechanisms.

OpenAI · London

Senior technical owner for a portfolio of education customers, acting as the "CTO of your book of business" from pre-sales discovery through deployment and adoption. Owns technical account plans across ChatGPT Edu, the OpenAI API and Codex, translating institutional priorities into architectures, adoption roadmaps and use-case portfolios.