Machine Learning Jobs

• 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

• United Kingdom
• Entry level

Join the AI & Algorithms department to build intelligent systems, coding hands-on and training/testing models for client projects across robotics, radar, photonics and engineering biology. Work in mixed-discipline teams attending stand-ups and planning sessions, while contributing to internal R&D that turns state-of-the-art literature into market-leading solutions and client demonstrations.

LLM · VLM · VLA

• Zürich, Switzerland
• Entry level
• Internship

Research and develop techniques to GPU-accelerate deep learning, machine learning and other AI workloads, working with technical experts from industry and academia to analyse and optimise complex AI and HPC algorithms on CPU and GPU architectures. The intern also publishes optimisation techniques via developer blogs or conferences and helps influence next-generation hardware, software and programming models.

CUDA · OpenACC · OpenMP +4

• 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

• Wantage
• On-site
• Senior
• Permanent

Lead the design and deployment of autonomous robotic systems, owning software architecture across perception, planning and control. Work spans prototyping, simulation and field testing, integrating with hardware teams while mentoring engineers and shaping technical roadmaps. Requires depth in C++, ROS2, SLAM and real-time systems.

ROS · ROS2 · Gazebo +1

• 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

• 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

• 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
• Entry level

New-grad engineers join a cohort to build infrastructure and products across backend, full stack, infrastructure, databases, systems, cloud and customer-facing teams. You own the full development lifecycle — design, development, testing and production operations — with a dedicated mentor and a focus on reliability, scalability and security.

Databricks · Genie · Lakebase +4

• London
• Hybrid
• £370,000 – £630,000 pa
• Mid-level

Builds and improves the RL training infrastructure researchers rely on, profiling, debugging and rearchitecting bottlenecks across the stack. Partners with researchers and adjacent engineering teams to ship tooling that speeds up training runs, owning reliability and performance end-to-end.

JAX · PyTorch

• London
• Hybrid · 1 day in office
• £260,000 – £630,000 pa
• Mid-level

Join the Pretraining team to develop next-generation large language models, working across model architecture, algorithms, data processing and optimizer development. You'll lead small research projects, design and analyse experiments, and scale distributed training infrastructure to thousands of GPUs, blending research and engineering in a highly collaborative environment.

PyTorch · Kubernetes · GPUs +1

• Sydney, Australia
• Hybrid
• Senior · manages people
• Permanent

Lead high-impact AI projects, defining data science approaches and designing robust software architectures for bespoke client solutions. Mentor junior data scientists, partner with commercial teams on scoping, and ensure delivery rigour while building client relationships across government, finance, retail, energy, life sciences and defence.

Python · NumPy · Pandas +2

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

Design and deliver bespoke data science solutions for clients across government, finance, retail, energy and defence, mapping end-to-end approaches and software architecture. Act as a technical advisor, setting code and rigour standards for project teams while building scalable algorithms in Python, NumPy, Pandas and TensorFlow or PyTorch.

Python · NumPy · Pandas +3

• Cambridge
• On-site
• Mid-level
• Permanent

Joins a research team advancing multimodal deep learning for consumer devices, focusing on dataset curation, annotation pipelines and automated evaluation methods such as fine-tuned LLM-as-judge. Analyses large offline and online datasets in Python to diagnose model failures and works with training, compiler and product teams to move models from prototype to production.

Python · LLM

• Solihull
• £45,000 – £62,000 pa
• Permanent

Research and develop AI/ML approaches for power electronics, designing, modelling and simulating converter systems (AC/DC, DC/DC, DC/AC) using tools such as MATLAB, PLECS or Ansys. The role sits at the intersection of power electronics and artificial intelligence, translating academic research into practical engineering applications across electric vehicles, rail and renewable energy.

MATLAB · PLECS · Ansys