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
• Lead

Lead DMPK strategy across drug discovery projects, designing screening cascades and mechanistic experiments while integrating PK, PD and toxicology data for dose and safety predictions. Work with AI/ML platform teams to optimise ADME models and author regulatory DMPK sections, in a hybrid Cambridge, MA role.

Python · R

• London
• Hybrid
• Senior

Develops production-grade ML models and pipelines for physics simulation, working with research scientists and simulation engineers. Involves scaling training and inference across multi-GPU/multi-node distributed systems, optimising from job scheduling down to CUDA/Triton/Warp kernels, and building cloud infrastructure on CoreWeave and AWS.

AWS · Azure · GCP +7

• New York, United States
• Hybrid · 2–3 days in office
• US$120,000 – US$240,000 pa

Builds and deploys deep learning and probabilistic models to predict and control physical systems, working alongside simulation engineers and customers. Owns data pipelines and production-ready models, and travels to customer sites roughly 3-4 weeks per quarter to co-develop solutions on-site.

NumPy · SciPy · Pandas +2

• London
• Hybrid
• Senior

Customer-facing role building and productionizing data and AI solutions on the Databricks platform, owning architecture and design decisions for end-to-end systems spanning data engineering, ML/AI and application development. Embeds with client teams from technical ICs to executives, delivering production-grade systems, reference architectures and reusable accelerators, with around 20% travel to customer sites.

Databricks · AWS · Azure +7

• 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
• 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
• Lead · manages people
• Permanent

Lead the science vision for Trusted Supply, safeguarding advertiser trust across Amazon Advertising by developing algorithms for brand safety, suitability scoring, fraud detection, viewability prediction and privacy-preserving measurement. The role spans multi-year research direction, publication roadmaps, cross-team modelling frameworks and production systems serving billions of ad impressions daily, alongside hiring and mentoring applied scientists and research engineers.

• London
• Hybrid
• Senior

Gatekeeper for EMEA data center deals from desktop review through LOI to lease execution, spending about 75% of time on preconstruction and pre-lease diligence and 25% on delivery. Independently tests developer schedules, costs, power and permitting against source documents, shapes lease and contract terms, and embeds with partners on site to drive accelerated build schedules.

Claude

• 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
• 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

• 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