Machine Learning Jobs

CureAge Therapeutics · London

Lead the computationally guided design of a lipid nanoparticle delivery platform, applying chemical and biophysical principles to optimise LNP composition and formulation. Use AI-enabled chemistry, cheminformatics, predictive models and molecular modelling to prioritise formulation components, working closely with the experimental team and founding team in a small start-up.

Hadean · London

Lead a new AI-powered defence product team, line-managing AI/ML, simulation, infrastructure and web engineers while staying hands-on in TypeScript, React and Node. You own delivery end-to-end, hiring and people development, partnering with Product and technical leads, with hybrid working one day a week in Shoreditch.

Cambridge Consultants · United Kingdom

Designs, builds and tests intelligent systems for defence and security clients, covering signal processing, radar, computer vision, transformers and edge AI. Takes technical ownership of significant project parts, mentors junior engineers, and works directly with clients on proposals and new work. Requires SC clearance and substantial time on-site.

Cambridge Consultants · United Kingdom

Architect algorithmic approaches on complex defence and security projects, acting as technical lead and authority across the department. Hands-on work spans machine learning, applied statistics, sensor processing, signal processing and numerical optimisation, alongside client-facing proposal development and mentoring engineers.

NVIDIA · Cambridge

Develops algorithms and optimizations for NVIDIA's LPX inference and compiler stack, building high-performance runtime and compiler components and mapping large-scale neural network workloads onto future hardware. Involves LLVM/MLIR work, graph transformations, scheduling and memory/layout optimizations, plus close collaboration with hardware architects on co-design.

NVIDIA · United Kingdom

Develop algorithms and optimizations for NVIDIA's LPX inference and compiler stack, working at the intersection of large-scale systems, compilers, and deep learning. The role involves building high-performance runtime and compiler components, mapping inference workloads onto future hardware, and collaborating with hardware architects on codesign. Distinct focus on LLVM/MLIR, graph transformations, and spatial accelerators.

Copello · Bristol · £54,000 – £58,000 pa

Develops and evaluates image processing, computer vision and deep learning algorithms for imaging sensor systems, covering segmentation, noise removal, tracking, pose estimation and classification. Works on-site in Bristol within a cross-functional team, supporting research into emerging AI/ML technologies and integrating algorithms into larger operational systems.

Flarebright · Bicester · £39,000 – £49,000 pa

Contributes across the full development lifecycle, from concept and algorithm design to system integration, testing and troubleshooting of safety-critical navigation and autonomy software in C++. Works with a multidisciplinary team on real-time embedded systems, hardware/software-in-the-loop testing and flight test activities, producing design documentation and test reports.

Wayve · London

Lead a small team iterating on Wayve's end-to-end L2 driving model, balancing hands-on Python coding and experiments with directing priorities. Diagnose on-road issues, root-cause them, and drive fixes through data recipes, model architecture, evaluation and release readiness, working across teams on model and vehicle interface problems.

Humanoid · London

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.

dunnhumby · London

Joining the Retail Insight team, you will investigate, develop, implement and deploy complex data science applications for Tesco, covering personalisation, basket analysis, pricing, promotions and loyalty. The role blends statistical modelling and machine learning with client-facing delivery, building re-usable, scalable solutions alongside client leadership teams.

Michael Page · Leeds · £40,000 – £48,000 pa

Analyse large datasets to uncover trends and build predictive models and algorithms that support strategic decisions in a financial services setting. Work within a collaborative analytics team, presenting findings to non-technical stakeholders and helping maintain data pipelines and infrastructure.

Adria Solutions · Huddersfield · £55,000 – £70,000 pa

Develops software and applied AI models for machine vision, working across C++, C# and Python to build image-processing algorithms and integrate models into reliable applications. Covers the full lifecycle from dataset preparation and model evaluation to testing, performance tuning and diagnosing image quality or integration issues. Hybrid or remote, with a path to lead an AI team.

Reed · Cambridge

Lead statistical and bioinformatics analysis projects, developing computational algorithms and applying machine learning to functional genomics research. Work with NGS, OMICS and high-throughput datasets alongside laboratory scientists, using Python, R or Julia and libraries such as TensorFlow and PyTorch. The role also involves mentoring and cross-functional collaboration in a multidisciplinary research team.

Anthropic · London · £375,000 – £640,000 pa

Designs and runs large-scale reinforcement learning experiments to understand how RL behaves as model size, compute and task horizon scale, then turns validated findings into production training recipes. Builds long-horizon RL benchmarks and debugs failures that only surface at the research-infrastructure boundary, working closely with adjacent RL teams.

Wayve · London

Owns the technical architecture and roadmap for LiDAR and cross-sensor 3D sensing, leading development of target-based and targetless calibration, LiDAR-to-camera alignment, temporal synchronisation and motion compensation. A senior individual-contributor role combining algorithm development, evaluation and production deployment with technical leadership and mentorship across the 3D sensing stack.

Amazon · Edinburgh

Builds machine learning recommendation systems that match job seekers to roles and recruiters to talent across Amazon Jobs and internal hiring platforms. Works on representation learning, reinforcement learning and probabilistic modelling at global scale, with a focus on fairness and explainability, alongside engineers, scientists and product managers through the full development lifecycle.