Machine Learning Jobs

• Singapore

Builds and deploys customer-facing applications that put physics AI models into production, working directly with customers, data scientists and ML engineers. Involves full-stack work with Python, FastAPI REST APIs and microservices, plus cloud deployment using Kubernetes, Helm, Terraform and AWS/Azure. Expects travel to customer sites in Asia, North America and Europe for 3-4 weeks per quarter.

FastAPI · Helm · Kubernetes +3

• New York, United States
• Hybrid
• US$150,000 – US$250,000 pa
• Senior

Build and deploy customer-facing applications that put physics AI models into production, working directly with customers, data scientists and ML engineers. The role spans rapid prototyping, backend development with Python/FastAPI microservices, and cloud deployment using Kubernetes, Terraform and AWS/Azure, with frequent on-site travel to customer sites.

FastAPI · Helm · Kubernetes +3

• London
• Hybrid
• Mid-level
• Permanent

Builds full-stack geospatial services in Python and TypeScript, plus PySpark and Databricks pipelines that enrich fleet data with road-network and mapping information at global scale. Owns route-planning applications, map data preparation for training and simulation, and deployment on Azure and Kubernetes end to end.

Databricks · Mapbox · TomTom +10

• London
• Hybrid
• Mid-level
• Permanent

Develops embedded software connecting an AI Driver to vehicle steering, braking and propulsion systems, working with MATLAB/Simulink, CAN/CAN-FD tooling and vehicle ECUs. Involves bench and in-vehicle testing, drive-by-wire bring-up, OTA updates and ADAS/HMI interfaces alongside OEMs and suppliers.

MATLAB · Simulink · CANoe +4

• Cambridge
• Senior

Design and optimise CPU compilers for NVIDIA's Grace CPUs, working on hardware-software co-design, code generation and performance analysis for AI, HPC and data centre workloads. The role involves contributing features and optimisation techniques to upstream open source projects such as GCC, LLVM or MLIR, alongside a geographically distributed compiler team.

GCC · LLVM · MLIR +7

• Southampton
• Hybrid
• £41,064 – £45,064 pa
• Contract

Embed physics-informed generative AI tools into a marine vessel concept, generation and evaluation platform as part of a Knowledge Transfer Partnership between Compute Maritime Ltd and the University of Southampton. Develop and validate fast models for ship resistance, propulsion and energy efficiency using CFD and benchmark data, and integrate multidisciplinary optimisation methods into the NeuralShipper platform.

PyTorch · TensorFlow · JAX +2

• 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

• United Kingdom
• On-site
• Entry level
• Internship · Flexible

A paid 6-12 month PhD internship in the AI & Algorithms department, working across the full robotic learning pipeline from data collection and model training to deployment on real hardware. Interns join mixed-discipline teams on client projects in healthcare and industrial settings, contributing to internal R&D and using labs, robotic platforms and compute resources.

ROS · Git · Isaac Sim +7

• 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 external retail partners.

BigQuery · OR-Tools · SimPy

• United Kingdom
• Hybrid
• Lead

Senior technical authority architecting algorithmic solutions for intelligent systems, spanning machine learning, applied statistics and sensor processing. Leads complex defence and security projects, sets technical direction, mentors engineers and shapes proposals with clients. Hybrid working, though some projects require full-time office presence.

Reinforcement Learning · Machine Vision · Edge Computing +1

• London
• Mid-level · manages people

Owns the roadmap and delivery of AI products for transportation, working at the intersection of transport engineering, ML/RL, optimisation and software engineering. Leads a small technical team from problem definition to deployed product, translating domain knowledge into requirements and testing capabilities on live infrastructure projects.

LLM · GIS · BIM

• Cambridge
• On-site
• Permanent

Consultants design and deploy machine learning systems for diverse defence and security projects, from proofs-of-concept to working prototypes. The role spans literature analysis, model training, rapid prototyping and experiment design, often combining science, engineering and ML in novel settings. Work is on-site in Cambridge within a flat, collaborative team of around 40 specialists.

PyTorch · TensorFlow · Keras +3

• Zürich, Switzerland
• Senior

Design, develop and optimise GPU/CPU-accelerated data processing libraries such as DALI and nvImageCodec, covering numerical methods, performance tuning and benchmarking across architectures. Works closely with leadership and external partners on technical roadmaps while providing technical leadership and guidance to other library engineers.

CUDA · DALI · nvImageCodec +1

• London
• Remote
• Temporary

A four-month, full-time research fellowship focused on empirical AI projects in either ML systems and performance or reinforcement learning. Fellows work with external infrastructure like open-source models and public APIs, receive direct mentorship from Anthropic researchers, and aim to produce a public output such as a paper submission.

Claude

• London
• On-site
• Senior
• Permanent

Develops learning-based locomotion and whole-body control policies for humanoid robots, using reinforcement and imitation learning, generative models and motion primitives. Builds scalable simulation and training pipelines in Isaac Lab and MuJoCo, and deploys, debugs and fine-tunes policies on physical robots, tackling sim-to-real transfer and real-time inference latency.

Isaac Lab · Isaac Sim · MuJoCo +1