Machine Learning Jobs

• United Kingdom
• Hybrid
• Lead

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.

Transformer Models · Diffusion Models · Reinforcement Learning +2

• United Kingdom
• Hybrid
• Senior

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.

LLVM · MLIR · TensorFlow +3

• United Kingdom
• Entry level
• Internship

A 12-month paid placement in the AI & Algorithms department, working alongside engineers and mentors on client projects. Day-to-day work includes coding, modelling, training and testing models, data wrangling, and contributing to internal R&D on state-of-the-art AI. Interns join mixed-discipline teams, attend stand-ups and present results to colleagues and clients.

LLM · VLM · VLA

• Bristol
• On-site
• 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 role also involves publishing optimisation techniques via developer blogs or conferences and influencing next-generation hardware, software and programming models.

CUDA · OpenACC · OpenMP +4

• London
• Hybrid
• Senior

Builds AI-powered planning systems for global warehouses and last-mile operations, developing machine learning models, optimisation algorithms and operational simulations. Takes high-impact models from prototype to monitored production, sets technical direction and mentors data scientists while working with engineers, product managers and external retail partners.

BigQuery · OR-Tools · SimPy

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

A PhD studentship researching AI-on-RAN, optimising distributed and mobile inference of large language models by adapting token, memory and bandwidth use in real time. The work sits across AI and telecoms, with training alongside other PhD students in the EPSRC Future Telecommunications Hubs network and exposure to defence, government and infrastructure stakeholders.

AI-on-RAN · 6G

• London
• £46,261 – £48,679 pa
• Senior
• Contract

Develop and evaluate novel AI algorithms to quantify brain iron load from standard-format MRI data, with a focus on quantitative susceptibility mapping (QSM). Based in a multidisciplinary institute bridging engineering and health, the post is funded for four months and sits within a top-ranked computer science department.

MRI

• London
• £90,000 – £110,000 pa
• Senior

Designs and optimises multi-threaded C++ pipelines for image processing, computer vision and rendering, tuning algorithms for spatial analysis, sensor alignment and scene reconstruction. Uses parallel computing and GPU acceleration to hit strict performance targets, builds cross-platform production software, influences architecture and joins a support rota. Works on a core platform being built from the ground up.

C++17 · Git · CMake +5

• London
• Hybrid
• Senior

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.

PySpark · Git

• Huddersfield
• Hybrid
• £55,000 – £70,000 pa
• Mid-level

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.

OpenCV · PyTorch · TensorFlow +4

• London
• Hybrid · 2 days in office
• £62,000 – £75,000 pa

Design, develop and deploy production-scale GenAI and AI/ML solutions within a 20-person AI team at a financial-sector client. Work spans LLM APIs, chatbots/agents, vector databases and frameworks like LangChain and Microsoft Agent Framework, using C# or Python on Azure services such as Fabric, Data Factory, ML Studio and Synapse. The role involves stakeholder collaboration, analysing large datasets and monitoring model performance.

Azure · Azure Fabric · Azure Data Factory +7

• Huddersfield
• Hybrid
• £55,000 – £65,000 pa
• Mid-level

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 dataset preparation, model evaluation, automated testing and performance tuning for accuracy, inference speed and memory use, with a path to lead an AI team.

OpenCV · PyTorch · TensorFlow +4

• London
• Hybrid · 1 day in office
• £375,000 – £640,000 pa
• Mid-level
• Permanent

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.

• Edinburgh
• Permanent

Designs and implements machine learning models for recommendation systems used by job seekers and recruiters at global scale, with a focus on fairness and explainability. Works across the full software development lifecycle, from scoping and coding to A/B test analysis and deployment, alongside engineers, scientists and product managers. Also reviews scientific work and keeps current with the literature to develop novel approaches to hiring problems.

• London
• Hybrid
• Senior
• Permanent

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.

GTSAM · Ceres Solver · g2o +1