Machine Learning Jobs

• London
• Hybrid · 3 days in office
• Senior · manages people

Builds greenfield machine learning models and algorithms for drug discovery, designing new architectures, running experiments and scaling training and inference frameworks. Works in an interdisciplinary team of ML scientists, engineers and domain experts, with opportunities to lead projects and mentor others depending on experience.

JAX · PyTorch · TensorFlow +3

• London
• Hybrid · 3 days in office
• Senior

Lead the hardening and scaling of an inference platform serving fleets of cutting-edge ML models for scientific applications. Set strategy and roadmaps, architect next-generation services, and solve core scaling limits for high-throughput performance, partnering with research, product and operations teams.

Kubernetes · Google Cloud Platform · NVIDIA GPU +1

• London
• Hybrid
• Lead
• Permanent

Lead an ambitious research agenda at the intersection of LLMs, VLMs, VLAs and embodied AI, exploring how world knowledge, memory and reasoning can drive better physical-world decisions. Stay hands-on developing architectures, training and post-training large-scale models, while mentoring researchers and shaping the team's technical direction across London and Sunnyvale.

PyTorch

• London
• Hybrid
• Senior
• Permanent

Post-train and scale GAIA-family large video diffusion world models to generate multimodal synthetic driving data, running generation pipelines across tens of thousands of segments and optimising GPU inference. Sits between ML research and engineering, landing synthetic data into the same training stack as real driving data and measuring its impact on driving-model performance.

GAIA · GPU · KV Cache

• London
• Hybrid
• £225,000 – £255,000 pa
• Senior

Embed directly with strategic enterprise customers to build production applications on Claude models, delivering artifacts like MCP servers, sub-agents and agent skills. Combines hands-on Python engineering with customer-facing discovery, codifying repeatable deployment patterns and feeding insights back to Product and Engineering. Founding FDE role with frequent travel (25-50%) to customer sites.

Claude · MCP

• 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

• London
• Hybrid
• Mid-level
• Permanent

Builds client-facing data visualisation products with data scientists, engineers and designers, using React, TypeScript, ES6 JavaScript, HTML and CSS3, plus d3 for visualisation. Owns frontend standards, reusable component libraries and deployment infrastructure, and mentors other engineers within a national security and AI safety business unit.

React · D3 · AWS +3

• 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

• Cambridge
• Hybrid
• Permanent

This is a fantastic opportunity to join Luminance, the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ and Inc.…

• London
• Hybrid
• Permanent

Builds and optimizes the compute platform behind frontier AI, spanning bare-metal automation, Kubernetes scheduling, high-performance networking, storage, and fleet health. Engineers move across software, hardware, and networking layers, profiling training workloads and improving NCCL, RDMA, and GPU efficiency. Hiring is general across Compute Infrastructure, with teams matched to candidate strengths.

Kubernetes · NCCL · RDMA +4

• London
• On-site
• Mid-level · manages people
• Permanent

Join the Preparedness team to anticipate and mitigate loss-of-control risks from increasingly capable AI systems, potentially culminating in recursive self-improvement. The role spans scalable oversight, automated auditing, monitorability testing, model behaviour science, and coordination/verification mechanisms, alternating between rigorous hypothesis-driven research and building interventions that impact production models.

• Slough
• Hybrid · 2–3 days in office
• £330 – £360 pd
• Junior
• Contract

Hands-on role building, validating and optimising basic models and data pipelines across the data science lifecycle, from exploratory analysis to cloud-based automation of decision-making. Work spans churn reduction, customer lifetime value, stock management and marketing effectiveness, collaborating within a data science team and with non-technical stakeholders in the telecoms sector.

scikit-learn · PySpark

• London
• On-site
• £90,000 – £120,000 pa
• Senior
• Permanent

Design and build full-stack AI-powered product features spanning front-end, back-end, AI and infrastructure, including LLM, computer vision and agent-based systems. You will create evaluation, testing, prompt engineering and fine-tuning frameworks, working across DevOps and MLOps with Product and Engineering teams on financial crime compliance tooling.

TypeScript · React · Node.js +1

• 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

• 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.