Machine Learning Jobs

• 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

• London
• On-site
• £40,000 – £75,000 pa

Builds AI and agentic AI systems that solve real-world problems, working with the Head of AI & Data to design, deploy and scale solutions for clients and internally. Uses Python, agentic coding tools and self-hosted models to create rapid proofs-of-concept, then productionise them with engineering teams. Requires DV clearance eligibility and onsite work 4-5 days per week.

Claude Code · OpenAI Codex

• London
• Senior
• Permanent

Design and implement generative models that learn intervention effects from single-cell perturbation and multiomic data, focusing on counterfactual prediction and experimental design. Work in interdisciplinary teams with experimental biologists to validate computational hypotheses and guide the highest-signal next experiments, using modern ML tooling and scalable infrastructure.

• United Kingdom
• Entry level
• Internship

Six- to twelve-month AI and algorithms internship for PhD or Master's students, working alongside engineers on client projects involving modelling, training, testing and data wrangling. Interns also contribute to internal R&D, building on state-of-the-art AI literature, and present results to colleagues and clients. Requires strong Python, Git and demonstrable research experience, plus UK security clearance eligibility.

Git · Transformer Models · Diffusion Models +1

• London
• £23,805 pa
• Entry level
• Contract

Develop a framework combining a differentiable reacting flow solver with a machine learning-based controller to anticipate and mitigate extreme events such as flashback and thermoacoustic instabilities in hydrogen and SAF combustion. The role sits within the European CONTEXT project at the intersection of scientific machine learning and fluid dynamics, using high-fidelity simulations and Imperial's HPC facilities.

HPC

• United States
• Remote
• US$180,000 – US$190,000 pa
• Lead

Lead the design, deployment and monitoring of statistical and machine learning models that power personalised learning experiences for a global EdTech platform. Establish model governance and validation practices, mentor senior data scientists, and shape AI/ML strategy including future generative AI and LLM work. Fully remote within the USA.

• United States
• Remote
• US$180,000 – US$200,000 pa

Develop and improve production machine learning systems, designing, building and deploying models used in high-volume environments. Own experimentation frameworks and evaluation methodologies, research new techniques, and work with large-scale distributed data platforms using Spark and Python/SQL. Partner with Product and Engineering to translate business problems into data-driven solutions.

Spark

• United Kingdom
• Hybrid
• Senior

Take technical ownership of AI projects for defence and security clients, designing and building agentic systems that search, interpret and act on information. Lead smaller projects, mentor junior engineers, and work directly with clients on proposals and new work. Requires SC clearance and UK residency.

• Exeter
• £21,805 pa
• Entry level
• Contract

Develops a multiscale Scientific Machine Learning digital-twin framework to predict thermal trajectories, torque capability and efficiency in low-speed, high-torque electric propulsion. Combines physics-informed neural networks, neural state-space models and Neural ODEs, validated through safety-constrained dynamometer experiments at the Centre for Future Clean Mobility and on-site work with a marine power-systems partner.

Neural Ordinary Differential Equations · Deep Neural Networks · Recurrent Neural Networks +1

• Exeter
• £21,805 pa
• Entry level
• Contract

An interdisciplinary PhD developing miniaturised, low-power sensing hardware co-designed with AI for monitoring wild animal behaviour, including individual recognition and automated quantification of responses. Systems are benchmarked in controlled conditions then validated on wild jackdaws and field sites in West Africa, spanning ecology, electronic engineering and data science.

Thermal Imaging · AI · Machine Learning

• Switzerland
• Remote
• Senior

Develops performance optimizations in deep learning frameworks using JAX, contributing to JAX core components and driving peak performance on NVIDIA hardware. Works with AI researchers to build future-proof models and tooling that bridges numerical computing, simulation and deep learning research. Requires C/C++ and Python skills plus deep knowledge of ML framework internals and CPU/GPU architectures.

JAX · PyTorch · TensorFlow +4

• United Kingdom
• Remote
• Senior

Develops performance optimizations in deep learning frameworks using JAX, contributing to JAX core components and driving peak performance on NVIDIA hardware. Works with AI researchers to build future-proof models and tooling that bridges numerical computing, simulation and deep learning research. Requires C/C++, Python and machine learning framework internals expertise.

JAX · PyTorch · TensorFlow +4

• Cork, Ireland
• Hybrid · 3 days in office
• Senior

Lead the design and deployment of scalable AI solutions, including LLM-powered applications such as enterprise search, document summarization and conversational AI. Work spans model fine-tuning, prompt engineering, RAG architectures with vector databases, and MLOps deployment, while mentoring engineers and shaping enterprise AI strategy. Hybrid role based in Cork with three days per week in the office.

Azure OpenAI · Azure ML · Hugging Face +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
• 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