Machine Learning Jobs

• New York, United States
• Hybrid
• US$200,000 – US$250,000 pa
• Senior

Owns deployment of ML models and engineering surrogates (deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimisation) into customer production environments, building scalable training and inference pipelines and APIs on cloud and on-prem. Works directly with customers on-site, leads scoping and architecture, and mentors engineers and data scientists. Tech stack includes Python, PyTorch, Pandas, fastAPI, Scipy and Kubeflow.

Python · PyTorch · Pandas +5

• 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 · 3 days in office
• Mid-level

Join the Compute Infrastructure team to keep a planet-scale GPU accelerator fleet healthy and efficient. You'll build observability and telemetry pipelines, automate recovery, hunt compute waste, and optimise accelerator utilisation for large-scale training and inference, working closely with ML infrastructure and research teams.

GCP · Kubernetes · Nvidia GPU +1

• London
• Hybrid · 3 days in office
• Lead

Technically lead the Platform group, designing, operating and refining research, development and production cloud infrastructure across GCP, Kubernetes, Docker and Terraform. The role spans core technical decisions, tooling and CI/CD processes, working closely with scientists, ML researchers and product teams, and reports directly to the Director of Engineering.

GCP · Kubernetes · Docker +7

• London
• Hybrid
• Lead
• Permanent

Lead technical strategy, architecture and deployment of secure AI systems across high-stakes domains, bridging AI research and production. You'll build scalable ML infrastructure, champion safety-first frameworks and capability evaluations, advise senior client leadership, and mentor engineering talent while partnering with Frontier Labs on multi-agent tooling and AI governance.

AWS · Azure · GCP +4

• London
• Hybrid
• Lead · manages people
• Permanent

Lead the scientific direction and architectural rigour of upstream AI safety and evaluation standards, partnering directly with Frontier Labs. Design novel experiment frameworks, mentor technical teams, and bridge deep research with client strategy across high-stakes engagements.

NumPy · Pandas · Inspect AI +1

• London
• Hybrid
• Senior
• Permanent

Builds data-intensive, AI-powered applications and infrastructure that help operators and investigators detect, triage and review high-severity harm, working across UIs, services and pipelines. Partners closely with the Child Safety team and cross-functional groups, owning systems end-to-end in an ambiguous, fast-moving environment.

Spark · Kafka · Flink +3

• London
• Lead
• Permanent

Owns delivery of priority AI initiatives for OpenAI's largest customers, leading complex deployments from scoping and planning through launch and adoption. Builds integrated delivery plans, resolves blockers, drives launch readiness and tracks adoption and consumption against agreed outcomes, working closely with account teams, FDEs and partners.

• London
• Remote
• £200,000 – £300,000 pa
• Lead

Own machine learning projects end to end, from experimentation through to production, building reliable, scalable systems with Python and large language models. Provide technical leadership to ML engineers, set engineering standards, lead code reviews and make architecture decisions, working closely with research and application engineering teams to improve model performance in production.

LLMs

• London
• Hybrid
• Lead
• Permanent

Lead the technical direction for an offline 3D reconstruction system that turns raw vehicle sensor data into quality-assessed 3D ground-truth geometry and ego motion. The role spans SLAM, lidar point-cloud registration, state estimation and sensor fusion, with responsibility for architecture, roadmaps, interfaces and cross-team alignment. It is a principal-level leadership position mentoring engineers and setting reconstruction quality standards.

ROS · PCL · OpenCV +3

• London
• Hybrid
• Lead · manages people
• Permanent

Lead a small team iterating on Wayve's end-to-end L2 driving model, balancing hands-on Python coding and experiments with directing priorities. Diagnose on-road issues, root-cause them, and drive fixes through data recipes, model architecture, evaluation and release readiness, working across teams on model and vehicle interface problems.

Nissan · Mercedes

• London
• Hybrid
• Senior
• Permanent

Architect novel generative models to design functional proteins, working in an interdisciplinary team of ML researchers, protein engineers and biologists. The role spans data curation, evaluation metrics, rapid prototyping, cloud training and inference optimisation, plus planning wet lab testing campaigns with the bio team.

• London
• Hybrid · 1 day in office
• £225,000 – £255,000 pa
• Mid-level

Partner-facing role embedding with nonprofits, research institutes and academic medical centres to apply Claude to clinical development for rare and neglected diseases. You'll design and review trial protocols, build tools for drug repurposing from literature, omics and patient data, and create reusable infrastructure like MCP servers and benchmarks.

Claude · MCP

• Oxford
• Hybrid
• Permanent

Hands-on field robotics role in the Launchpad team, operating, testing and debugging autonomous vehicle systems on real industrial sites. You build your own tooling (Python/Bash, C++, ROS, Linux) and trace faults across the hardware-software boundary, with extensive travel and secondments to the UAE.

ROS · Linux · Git +4

• London
• Hybrid
• Senior

Builds AI-powered planning systems for global warehouses and last-mile operations, developing machine learning models, optimisation algorithms and operational simulations. Takes high-impact models from prototype to monitored production, sets technical direction and mentors data scientists while working with engineers, product managers and retail partners.

BigQuery · OR-Tools · SimPy