Machine Learning Jobs

• Hatfield
• Hybrid
• Entry level
• Temporary

Two-year rotational graduate scheme with four six-month placements across Ocado's technology division, spanning bot software and hardware, eCommerce, fulfilment control systems, and data science. Graduates work in teams on robotics, ML, and warehouse automation challenges, gaining broad exposure before moving into a long-term role.

• London
• Hybrid
• Mid-level
• Permanent

Builds and operates the platform that deploys, configures and manages models across ChatGPT, spanning deployment orchestration, rollouts, capacity planning and operational automation. The role focuses on turning complex operational processes into reusable, scalable platform capabilities, working closely with research, infrastructure and product teams.

GPU · ChatGPT

• New York, United States
• Hybrid
• US$240,000 – US$300,000 pa
• Director · manages people

Leads regional deployment engineering for a physics AI platform, owning end-to-end delivery into customer-owned infrastructure and acting as primary technical contact for CIOs and CTOs. Combines executive engagement with hands-on work on Kubernetes, cloud and infrastructure-as-code deployments, while hiring and scaling a team of deployment engineers. Requires navigating regulated, high-security and on-prem/HPC environments.

Kubernetes · AWS · Azure +6

• New York, United States
• Hybrid
• US$150,000 – US$250,000 pa
• Senior

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.

FastAPI · Helm · Kubernetes +3

• London

Embed with strategic enterprise customers to design, build and productionise custom fullstack data and AI applications on the Databricks platform. You own architecture and end-to-end delivery across data engineering, ML/AI integration and user-facing interfaces, partnering with Sales, Product and Field Engineering. Travel to client sites up to 50%.

Databricks · OpenAI · Anthropic +7

• Cambridge
• Hybrid
• Mid-level

Design and build LLM-agentic workflows that reason over knowledge graphs, proprietary methods and scientific literature to generate and triage therapeutic hypotheses for rare diseases. Works closely with drug discovery scientists in a cross-functional team, using Python, ADK and AgentSpace, with scope to own workflows end to end.

Python · ADK · AgentSpace

• London
• Permanent

You will partner with early-stage startups to embed Codex into their software workflows, building integrations, automations and reusable tools while troubleshooting technical blockers. A large part of the role is outward-facing: leading technical talks, live demos, workshops and hackathons, then feeding developer insights back to OpenAI's product and research teams.

Codex · OpenAI

• Leicester
• Remote
• £30,000 – £45,000 pa
• Entry level

A self-funded training programme leading to AI engineering employment, covering AWS Cloud Practitioner certification, Python, machine learning and AI systems through online self-paced study. Includes hands-on projects, CV and interview support, and recruitment assistance until placement, with a job guarantee or course fees refunded.

AWS · TensorFlow

• London
• Senior

Lead the design and deployment of applied machine learning models for infrastructure and engineering, owning the full lifecycle from problem formulation to production iteration. Work spans optimisation, simulation and scientific ML, partnering with MLOps, software and domain experts to embed AI into a SaaS platform, with mentoring and technical leadership duties.

PyTorch · TensorFlow · scikit-learn

• United Kingdom
• On-site
• Senior
• Permanent

Design and develop cutting-edge mechatronic systems for medical technology applications, focusing on robotics, diagnostics, and drug delivery. Lead hardware design efforts from concept to manufacture, conduct first-principle analyses, and support prototyping and testing. Collaborate across disciplines to solve complex engineering challenges in healthcare innovation.

• Stratford-upon-Avon
• Remote
• Mid-level
• Contract

Hands-on product development role building and improving machine learning and AI capabilities for an in-house AI platform. Work spans information extraction, classification, retrieval, summarisation and decision support, with a strong focus on structured JSON outputs, evaluation datasets and deployment into customer applications.

AI APIs · Vector Databases · Model Context Protocol +1

• Royston
• On-site
• Entry level
• Permanent

Graduate consultants join multi-disciplinary teams to invent new products and technologies, covering invention, analysis, prototype design and transfer to manufacture across areas like drug delivery, AI-driven discovery and 5G antennas. Alongside technical work, they engage directly with clients, build market understanding and take on project leadership as they gain experience.

5G NTN

• Filton
• £45,000 – £58,000 pa
• Permanent

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.

MATLAB · Simulink · Python +1

• London

Customer-facing AI engineering role delivering professional services engagements, helping clients build and productionize GenAI applications such as RAG, multi-agent systems and Text2SQL. Works cross-functionally with product and engineering to shape roadmaps, and acts as a trusted technical advisor, with occasional travel to customer sites.

Databricks · HuggingFace · LangChain +7

• Oxford
• On-site
• £49,119 – £59,955 pa
• Senior · manages people
• Contract

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.