Machine Learning Jobs in Woking

Anthropic · London · £325,000 – £485,000 pa

Owns the technical strategy and roadmap for agent-driven compute cluster lifecycle management, including provisioning, updates, decommissioning, and secure-by-default, high-bandwidth inter-cluster connectivity across major clouds and own datacenters. Sets direction for scalability, homogeneity, and fault tolerance while mentoring engineers and shaping long-term compute and infrastructure strategy with cloud providers and internal research, inference, and product teams.

Anthropic · London · £325,000 – £390,000 pa

Builds and operates the distributed systems that serve Claude to millions of users, spanning request routing, load balancing, autoscaling and fleet orchestration across thousands of AI accelerators in multiple clouds. The role sits at the intersection of high-performance infrastructure and ML, integrating new accelerator platforms and supporting new model architectures.

Capital One · Leicester

Leads the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Sets technical direction, manages projects, communicates with stakeholders and mentors junior team members, driving prototypes through to production.

Capital One · Derby

Leads the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Sets technical direction, manages projects, communicates with stakeholders and mentors junior team members, working hybrid from the Nottingham office three days a week.

ITOL Recruit · Leicester · £30,000 – £45,000 pa

A 15-step online, self-paced traineeship covering AI engineering fundamentals, Python, data handling, prompt engineering, RAG, machine learning and AWS cloud certification, with tutor and recruitment support. It is a paid training course rather than a salaried job, aimed at career changers with no prior experience, and includes a job guarantee or money-back promise.

ITOL Recruit · Manchester · £30,000 – £45,000 pa

A 15-step online, self-paced AI traineeship covering Python, NumPy, Pandas, scikit-learn, Hugging Face, prompt engineering, RAG and vector databases, culminating in an AWS Certified Cloud Practitioner exam. It is a paid training course with fees, offering 1-to-1 tutor and recruitment support plus a job guarantee, rather than a salaried position.

eFinancialCareers · London

The role involves conducting in-depth quantitative analysis of hedge fund performance, developing and maintaining proprietary analytical frameworks, and building predictive models using alternative datasets and machine learning. The position is fully remote, requiring strong technical skills and the ability to work in a distributed environment.

eFinancialCareers · Stirling

Designs, builds and optimises scalable data pipelines in Azure Databricks, Spark and Python to support actuarial modelling and assumption setting. Applies machine learning and advanced analytics where they add measurable value, drives process reengineering and embeds audit and risk controls. Also guides and reviews the work of junior team members and shapes data standards and best practice.

IT Career Switch · Salford · £25,000 – £45,000 pa

A self-paced traineeship taking complete beginners through AI fundamentals, Python, data handling, machine learning and Git/GitHub, with Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are matched to a Junior AI Engineer role within 20 miles of their location, with training designed to be completed in 6-12 months around existing commitments.

IT Career Switch · Rayleigh · £25,000 – £45,000 pa

A self-paced traineeship taking complete beginners through AI and data science fundamentals, Python, machine learning, and Git/GitHub, with Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are placed into a Junior AI Engineer role with a partner employer within 20 miles of their location.

Flarebright · Bicester · £39,000 – £49,000 pa

Contributes across the full development lifecycle, from concept and algorithm design to system integration, testing and troubleshooting of safety-critical navigation and autonomy software in C++. Works with a multidisciplinary team on real-time embedded systems, hardware/software-in-the-loop testing and flight test activities, producing design documentation and test reports.

Local Pensions Partnership Administration · Preston · £90,000 – £100,000 pa

Lead AI strategy, governance and delivery across a major UK pension administration organisation, working with the CTO and executive team to identify and scale AI opportunities. Establish responsible AI frameworks, build and manage a specialist AI team, and oversee adoption of tools such as Microsoft Copilot, Civica UPM and UiPath. The role combines strategic leadership, risk assurance and supplier engagement to drive measurable service improvements.

ECM Selection · Cambridge · £35,000 – £45,000 pa

Engineer the future of defence and securityThis team is motivated by saving lives in war affected regions and on the battlefield. They believe that by combining advanced technologies from different sectors they can fundamentally change the effectiveness of those we...

PhysicsX · New York, United States · US$150,000 – US$250,000 pa

Build and deploy customer-facing applications that put physics AI models into production, working directly with customers, data scientists and ML engineers. The role spans rapid prototyping, backend development with Python/FastAPI microservices, and cloud deployment using Kubernetes, Terraform and AWS/Azure, with frequent on-site travel to customer sites.

PhysicsX · New York, United States · US$90,000 – US$130,000 pa

Customer-facing role owning the full account journey for industrial clients, from onboarding and change management to executive reviews and contract preparation. Works alongside simulation, software, ML engineers and data scientists to translate engineering challenges into AI solutions, while building internal tooling to scale account operations.