Machine Learning Jobs

• Doncaster
• £25,000 – £45,000 pa
• Entry level

A self-paced traineeship taking complete beginners through AI fundamentals, Python, data handling, machine learning and Git/GitHub, plus Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are placed into a Junior AI Engineer role within 20 miles of their location, with training designed to fit around existing work or unemployment.

Microsoft AI-900 · Azure AI Fundamentals · Git +1

• Colchester
• £25,000 – £45,000 pa
• Entry level

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 placed into a Junior AI Engineer role within 20 miles of their location, with training designed to fit around existing work or unemployment.

Azure · Git · GitHub +1

• London
• Hybrid · 3 days in office
• Senior

Lead translational pharmacology for an AI-first drug discovery team, shaping neurodegeneration strategy and target validation. Design screening cascades, profile AI-designed molecules, and manage CRO studies while bridging computational and experimental biology.

SPR · TR-FRET · Mass Spectrometry

• London
• Hybrid · 3 days in office
• Senior

Research Engineers build and optimise state-of-the-art AI models for drug design, working across the full ML lifecycle from experimentation and evaluation to production deployment. The role involves developing robust codebases, data pipelines and training infrastructure, with a focus on architectures such as Transformers, GNNs and diffusion models, in close collaboration with scientists and engineers.

JAX · PyTorch · XLA +6

• United Kingdom
• Remote
• Mid-level
• Permanent

Owns large-scale distributed web crawling systems that discover, fetch and extract data from billions of pages to feed frontier AI models. Work spans content extraction from messy HTML, deduplication at web scale, recrawl and freshness strategies, politeness and rate limiting, plus tooling for researchers to request and explore crawled data.

Kubernetes

• United Kingdom
• Remote
• Permanent

Design, build and maintain open source SDKs, client and server libraries and an MCP server to drive developer adoption, while shaping the ElevenLabs API and developer tooling. Acts as "customer zero" for new developer products, jumping across languages and the stack, with scope to write technical content and speak at conferences.

MCP

• New York, United States
• Hybrid
• US$150,000 – US$190,000 pa
• Mid-level

Builds and deploys machine learning systems for industrial physics challenges, designing reliable data pipelines and working with 3D point-cloud and mesh data. Partners directly with customers on-site to embed AI models into practical tools, translating R&D outputs into reusable libraries and products. Requires Python, cloud, and MLOps experience with frequent travel.

TensorFlow · MLflow · Spark +6

• New York, United States
• Hybrid
• US$200,000 – US$300,000 pa
• Lead

Partners with engineering teams to embed security into CI/CD pipelines, lead threat modeling and secure design reviews for web apps, APIs and cloud services, and run the product vulnerability lifecycle. Also drives secure coding standards, delivers hands-on training, and engages with customers during security reviews.

GitHub · GitLab · Semgrep +3

• London
• Hybrid
• Mid-level · manages people
• Permanent

Lead a London-based team building the on-vehicle experiment platform that lets researchers deploy driving models to vehicles, run experiments and collect training data. You own people, roadmap and OEM partner relationships while staying hands-on with embedded Linux, C++/Python and over-the-air deployment across vehicle fleets.

NVIDIA Jetson · NVIDIA DRIVE · QNX +4

• London
• Hybrid
• Mid-level · manages people
• Permanent

Lead the Platform Integration team within Robot Software, owning early vehicle software integration, drive-by-wire and vehicle-facing drivers. You'll manage and grow engineers, set roadmap and priorities, and drive repeatable bring-up, validation and handover of new vehicle variants across OEM programmes.

CAN · Automotive Ethernet

• Bath
• Senior

A professorial role leading research in core AI areas such as generative models, NLP, reinforcement learning, and AI verification and security within the AI & Machine Learning group. The position involves strategic leadership, grant capture, industry collaboration, and research-led teaching, with connections to the newly launched Bath Centre for AI.

• Erith
• On-site
• Lead · manages people
• Shift work

Lead a team of engineers, technicians and trainees at an automated Customer Fulfilment Centre, allocating workload, developing staff and handling disciplinary matters. Requires hands-on mechanical and electrical engineering competence to make decisions across a 24/7 operation, working 12-hour day, night and weekend shifts.

Computerised Maintenance Management Systems

• Erith
• On-site
• Mid-level
• Shift work

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.

Conveyor Networks · Lifts · Cranes

• London
• Hybrid
• £75,000 – £95,000 pa
• Senior

Own and develop the MLOps infrastructure behind a growing AI platform, building orchestration pipelines with Dagster, Airflow or Prefect and deploying ML workloads on Kubernetes and cloud. You will implement CI/CD, observability and monitoring, manage infrastructure as code with Terraform or Bicep, and work closely with Data Scientists and ML Engineers to scale production ML, NLP and AI systems.

Dagster · Airflow · Prefect +3

• London
• £70,000 – £75,000 pa

Deliver technical training to graduate cohorts while creating and improving curriculum content across Data Engineering, Cloud, AI and Analytics. Mentor learners through workshops, projects and technical sessions, supporting capability building and continuous improvement. Combines hands-on data expertise with coaching in a structured training and consulting model.

AWS · Azure · GCP +1