Machine Learning Jobs

• United Kingdom
• Remote
• Permanent

Builds the systems behind a managed AI audio production service, owning one of three areas: a human data labelling and evaluation platform, the backend engine running production workflows, or a Rust-based professional editor platform. Work is mostly hands-on building of internal tools and core infrastructure rather than consumer features, with scope to lead projects.

• United Kingdom
• Remote
• Permanent

Builds and operates core platform foundations covering workspaces, user management, API keys, login, analytics and admin tooling, or generic resource and permissioning services used by product teams. Owns features end to end from backend services to settings UI, with safe rollout and migration of live, business-critical systems serving millions of users.

Kubernetes · OAuth · SSO +2

• United Kingdom
• On-site
• Entry level
• Permanent

This role involves tackling diverse technical challenges across healthcare, defence, and energy sectors by applying physics-based problem solving to real-world engineering projects. You'll work on cutting-edge systems such as holographic imaging, ultrasonic measurement, and magnetic positioning, combining lab work with simulation and analysis. The position emphasizes rapid learning, innovation, and collaboration within a supportive, R&D-driven environment.

• United Kingdom
• On-site
• Entry level
• Permanent

This role involves tackling complex, multidisciplinary challenges across healthcare, defence, and energy by applying advanced physics and experimental techniques to real-world engineering problems. You'll work on innovative projects such as novel imaging systems, ultrasonic measurement, and magnetic positioning, combining theoretical knowledge with hands-on development. The position emphasizes rapid learning, technical creativity, and collaboration within a supportive, R&D-focused environment.

• London
• On-site
• Senior
• Permanent

Builds generative and predictive models of cellular behaviour from high-content imaging, curating cell painting and brightfield datasets and designing evaluation that separates biological signal from technical artefact. Partners closely with ML scientists and wet lab assay teams, linking imaging readouts to single-cell and perturbation data in a matrixed TechBio environment.

NumPy · pandas · Polars +6

• London
• On-site
• Senior
• Permanent

Builds and scales generative and predictive models of cellular behaviour, acting as the bridge between ML theory and implementation. Day to day involves optimising large neural networks, distributed multi-GPU/multi-node training, profiling GPU workloads, and productionising research code for multi-modal biological data.

PyTorch · CUDA · Triton +1

• 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

• 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

• Hatfield
• Hybrid
• Entry level
• Temporary

Two-year rotational graduate scheme with four six-month placements across Ocado's technology division, spanning bot software and hardware, eCommerce, fulfilment control systems, and data science. Graduates work in teams on robotics, ML, and warehouse automation challenges, gaining broad exposure before moving into a long-term role.

• Cambridge
• Hybrid · 2–3 days in office
• Senior

Work on complex R&D projects within the Modelling Team, training diverse models including large self-supervised ones and deploying them into production. Involves transformer architectures, distributed training, and inference optimisation, with mentoring responsibilities and cross-department collaboration.

GQA · KV-Caching · Flash Attention +2

• London
• Hybrid · 2–3 days in office
• Senior

Join the Modelling Team to train large self-supervised and transformer-based speech models, ensuring their deployment into production. The role involves complex R&D, distributed training, inference optimisation, cross-department collaboration and mentoring, with a hybrid pattern of 2-3 office days per week.

GQA · KV-Caching · Flash Attention +2

• Cambridge
• Hybrid
• Permanent

Join a small R&D team prototyping and implementing new AI approaches, evaluating output quality, efficiency and feasibility against alternative techniques in a data-driven way. Work spans large dataset handling, modelling and evaluation using Python ML frameworks such as PyTorch, TensorFlow and Scikit-Learn, with senior candidates contributing NLP, computer vision or deep learning expertise.

PyTorch · TensorFlow · Scikit-Learn

• London
• Permanent

You will partner with early-stage startups to embed Codex into their software workflows, building integrations, automations and reusable tools while troubleshooting technical blockers. A large part of the role is outward-facing: leading technical talks, live demos, workshops and hackathons, then feeding developer insights back to OpenAI's product and research teams.

Codex · OpenAI

• Oxford
• Hybrid · 2–3 days in office
• Permanent

Field-facing role delivering autonomous vehicle projects for industrial customers across ports, airports and yards, combining hands-on engineering at Culham with remote development and support. Involves workflow testing, stakeholder management and identifying process gaps, with domestic and international travel including the UAE.

Linux · Unix

• Forest Park, United States
• On-site
• Mid-level
• Permanent · Shift work

Provide first response to engineering fault conditions and carry out electrical and mechanical planned maintenance across a highly automated customer fulfilment centre. Diagnose equipment breakdowns, perform assembly and sub-assembly repairs from blueprints and schematics, and analyse data to improve material handling equipment performance. The role involves shift work, working at height, and initial training travel to other sites in North America and/or the UK.

Computerized Maintenance Management Systems · G-Suite · MS Office