Machine Learning Jobs

• London
• Hybrid · 3 days in office
• Mid-level

Join the model performance and scaling team to implement and optimize LLM post-training methods on frontier models, working with research teams to turn new methods into production systems. The role focuses on distributed training and inference performance, low-precision methods, and frameworks like JAX or PyTorch, in a hybrid London setting.

JAX · PyTorch · NCCL +5

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

Lead computational drug design programs from hit identification through to candidate nomination, applying AI-first approaches and shaping the ML drug design engine alongside ML scientists. Roles span Program Lead or Computational Chemistry Lead, with some positions managing 2-3 computational chemists. Hybrid working in Cambridge, MA, three days a week in office.

REINVENT

• London

Build the evaluation discipline for production AI agents, creating reusable frameworks, datasets and evaluators that combine deterministic checks, expert judgement, model-based grading and human review. Own cross-product scorecards, public benchmarks and production telemetry, coaching product and delivery teams to embed rigorous evaluation into their workflows.

Pydantic Evals · Pydantic Logfire · OpenTelemetry

• London

Owns the product capability for post-training LLMs, turning research methods into deployable model improvements for customers. Builds reliable training harnesses, synthetic-data pipelines and evaluation workflows, applying SFT, preference optimisation, RLHF/RLAIF and verifier-based approaches. Works closely with Research and platform teams, with a roadmap spanning SaaS, VPC and air-gapped deployments.

PyTorch · LLMs · SaaS +1

• London
• Hybrid
• Senior

Customer-facing engineering role building and productionizing data and AI solutions on the Databricks platform. You own architecture and design decisions, delivering end-to-end systems spanning data engineering, ML/AI model integration and user-facing applications, embedding with client teams and travelling to customers around 20% of the time.

Databricks · AWS · Azure +7

• 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

• London
• Hybrid
• £225,000 – £255,000 pa
• Mid-level

Join the Beneficial Deployments Life Sciences team to help labs automate experiments end-to-end with Claude, connecting software to robots, instruments and LIMS. You'll prototype and productionise LLM-powered tools, build evals for physical-world safety, and scale learnings through cookbooks and the Model Hardware Standard. Expect significant travel and EMEA ambassadorship at conferences.

Claude · Model Hardware Standard · Liquid Handlers +2

• London
• Hybrid
• Lead
• Permanent

Lead an ambitious research agenda at the intersection of LLMs, VLMs, VLAs and embodied AI, exploring how world knowledge, memory and reasoning can drive better physical-world decisions. Stay hands-on developing architectures, training and post-training large-scale models, while mentoring researchers and shaping the team's technical direction across London and Sunnyvale.

PyTorch

• Sydney, Australia
• Hybrid
• Mid-level
• Permanent

Deliver bespoke, production-grade machine learning systems for clients across government, finance, retail, energy, life sciences and defence. The role spans building and deploying ML software and infrastructure, defining deployment standards, and leading technical scoping and architecture decisions while advising non-technical stakeholders. Work centres on Python, frameworks like Scikit-learn, TensorFlow or PyTorch, and cloud platforms with Docker and Kubernetes.

Scikit-learn · TensorFlow · PyTorch +5

• Sydney, Australia
• Hybrid
• Senior
• Permanent

Lead the design, build and deployment of production-grade ML systems for diverse clients, covering architecture, scalable infrastructure and ethical standards. Work across engineering, data science and commercial teams, acting as a trusted technical advisor while mentoring junior engineers. Requires deep Python, TensorFlow/PyTorch, cloud and Kubernetes expertise.

TensorFlow · PyTorch · AWS +5

• London
• Hybrid
• Mid-level
• Permanent

Design and build production systems that evaluate AI agent behaviour in real time, detecting risky actions and enabling safe recovery or escalation. Work spans architecture, implementation, evaluation and operations, partnering closely with alignment researchers to turn prototypes into scalable safety capabilities across OpenAI products.

OpenAI

• London
• Hybrid
• Senior
• Permanent

Owns embedded software that connects an autonomous driving AI to vehicle platforms, building integration and adaptation layers across hardware. Works on inference integration, vehicle data, navigation, localisation and motion control interfaces, taking features from design through HIL and vehicle testing. Requires strong modern C++ and Linux/QNX experience on Nvidia and Qualcomm platforms.

Nvidia · Qualcomm · Linux +3

• Oxford
• Hybrid
• Senior
• Permanent

Full-stack engineer joining the Over-the-Air and Configuration team, building Python back-end services that deliver software and configuration from cloud to autonomous vehicle fleets. Work spans GCP infrastructure, Terraform, Mender, Linux on-vehicle systems, security and CI/CD, with front-end tooling built using AI-assisted development.

GCP · Terraform · Mender +5

• London
• Hybrid
• Lead · manages people
• Permanent

Lead and grow a London-based engineering team building real-time safety and oversight systems for AI agents, including the Auto-review platform that evaluates agent actions at permission boundaries. The role is a hands-on builder-manager position, setting technical direction while shaping architecture, reviewing designs, debugging, and writing code, working closely with alignment researchers and product teams.

OpenAI

• London
• £600 – £750 pd
• Mid-level
• Contract

Develops and deploys machine learning models and data pipelines that shape decision-making, customer service and business performance. Works closely with ML and software engineers on integration and coding standards, and communicates findings to technical and non-technical stakeholders. Retail context with scope for personalisation, recommendation and experimentation work.