Machine Learning Jobs

• London
• Hybrid · 3 days in office
• Permanent

Partner directly with engineering organizations to design, build, and deploy AI-powered software development workflows using Codex, working hands-on in Python to create prototypes, evaluation harnesses, integrations, and production accelerators. The role combines deep technical engineering with customer leadership, guiding teams from use-case selection through production rollout and scaled adoption while feeding deployment insights back to Product and Research.

Codex · OpenAI

• 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

• London
• Hybrid
• Senior
• Permanent

Builds and evolves the data pipeline and orchestration platform behind Wayve's autonomous driving data, revamping the existing Harness system and creating a new DAG-based workflow platform. Works on Kubernetes-deployed, distributed infrastructure handling hundreds of parallel pipeline steps, batch inference and evaluation workflows, closely with partner teams.

Harness · Airflow · Dagster +7

• London
• Hybrid
• Lead · manages people
• Permanent

Lead a London-based team building and operating large-scale multi-cloud, multi-region GPU compute and storage infrastructure for ML training and inference. The role is people-first: coaching engineers, hiring, and owning roadmap and delivery, while guiding Kubernetes scheduling, capacity planning and cost trade-offs across heterogeneous GPU fleets.

Kubernetes · Kueue · Nvidia Hopper +2

• London
• Hybrid
• Lead · manages people
• Permanent

Lead technical direction on complex, business-critical AI projects for the Life Sciences team, partnering with pharma, academic and regulatory clients. Combines hands-on machine learning expertise with project roadmapping, technical risk management and mentoring of cross-functional data science teams.

Metaview

• Remote (UK)
• Remote
• Lead · manages people
• Permanent

Sets technical direction for complex, business-critical AI projects in the defence sector, architecting production-grade machine learning solutions and overseeing end-to-end delivery. Balances speed, innovation and reliability while mentoring data scientists and acting as a trusted technical advisor to demanding clients. Requires UK Security Clearance and 2-4 days per week on client sites.

Metaview

• Cambridge, United States
• Hybrid · 3 days in office
• Senior · manages people

Lead medicinal chemistry efforts on drug discovery projects, guiding them from initiation to clinical candidate selection as a Project Lead or Medicinal Chemistry Lead. Partner closely with ML scientists to refine AI models, manage CRO resources, and generate IP, with some roles line-managing 2-4 chemists.

AlphaFold

• London
• Hybrid
• Senior
• Permanent

Hands-on research and engineering role on the Agent Code team, developing code-generating LLMs and autonomous agent systems for enterprise use. Involves training code models, building agent frameworks for inference and sampling, creating SFT trajectories, working on RL algorithms, and designing benchmarks, in collaboration with the pretraining team on frontier compute infrastructure.

PyTorch · TensorFlow

• London
• Hybrid · 1 day in office
• £225,000 – £255,000 pa
• Senior

You'll act as a trusted technical advisor to high-growth startups building on the Claude Developer Platform, pairing with customer engineering teams on architecture reviews, code contributions and agent design. The role blends hands-on LLM engineering—evaluation frameworks, prompting, deployment—with developer-facing content, workshops and hackathons, feeding insights back to Product and Engineering.

Claude · Claude Developer Platform

• London
• Hybrid · 2–3 days in office

Owns the infrastructure behind speech AI models, building scalable data pipelines for ingesting, transforming and validating large training datasets, plus web scraping and data acquisition tooling. Also operates the platform for training, evaluating and serving models, optimising GPU utilisation, scheduling and observability across distributed systems.

Docker · Kubernetes

• Cambridge
• Hybrid · 2–3 days in office

Own the infrastructure behind speech AI models, building scalable data pipelines for ingesting, transforming and validating large training datasets, plus web scraping and data acquisition. Operate the platform that trains, evaluates and serves models in production, optimising GPU utilisation, scheduling and observability across distributed systems.

Docker · Kubernetes

• Warrington
• On-site
• Entry level
• Permanent · Shift work

A 48-month apprenticeship in Amazon's Reliability Maintenance Engineering team, supporting fault-finding and preventative maintenance on robotics, conveyors and sortation equipment. You'll study towards a Level 6 qualification and BSc in Controls and Automation Engineering while working shifts across days, nights and weekends.

Conveyor Systems · Sortation Equipment · Autonomous Robots +4

• Gateshead
• On-site
• Entry level
• Permanent · Shift work

Hands-on apprenticeship within Amazon's Reliability Maintenance Engineering team, supporting fault-finding and maintenance on robotics, conveyors and sortation equipment. Combines shift-based on-the-job training with study toward a Level 6 apprenticeship, BSc in Controls and Automation Engineering and HNC/D, covering industrial automation, IoT sensors, predictive maintenance and Industry 4.0 technologies.

Robotics · IoT · Conveyor Systems +2

• United Kingdom
• Entry level

Graduate role in the Human-Machine Understanding group, working at the intersection of AI, cognitive science and human-machine interaction. You will contribute to an Intelligent Interfaces framework spanning multi-modal human sensing, human-centric contextual modelling and agentic workflows, supporting client projects from human subjects studies to technical prototypes. Requires Python and AI/ML frameworks such as PyTorch, with scope to explore HRI, affective computing and cognitive architectures.

PyTorch · ROS2

• Dublin, Ireland
• Hybrid · 2 days in office
• £388 – £474 pd
• Mid-level
• Contract

Hands-on engineering role owning AI/ML initiatives end-to-end, from solution design and experimentation through deployment, monitoring and optimisation. Involves building production ML and GenAI solutions including RAG architectures, working with Snowflake and cloud data platforms, and applying MLOps, CI/CD and DevSecOps practices within cross-functional teams.

Snowflake · AWS · Linux +2