Artificial Intelligence Jobs

• Brentford
• Hybrid
• £75,000 – £100,000 pa
• Mid-level
• Permanent

Develop an engineering-grade Spiking Neural Network engine for machine vision, turning research outputs into production C++ software. Work alongside researchers, data scientists and engineers on SNNs, CNNs, Transformers, synthetic training data and ISR imagery, with system design, testing and CI/CD responsibilities.

PyTorch · CUDA · CNNs +2

• Penryn
• On-site
• £21,805 pa
• Entry level
• Contract

Develops physics-aware spatio-temporal graph neural networks for 0–6-hour visibility forecasting, focusing on low-visibility events in southeast England. The work spans six packages, from benchmarking NWP and ML baselines to linking learned representations with atmospheric physics, testing robustness to degraded observations, and operational evaluation with Met Office scientists.

STGNNs · NWP

• Exeter
• £21,805 pa
• Contract

Investigates how two neuroscience developments—astrocyte-neuron interactions and spontaneous retinal waves—can improve deep networks. The work involves adding astrocyte-inspired regularisation to training and using synaptic plasticity rules for network initialisation, then testing generalisation, robustness, explainability, learning speed and data efficiency.

• Cambridge
• Hybrid
• Senior

Develops algorithms and optimizations for NVIDIA's LPX inference and compiler stack, building high-performance runtime and compiler components for end-to-end inference. Involves mapping large-scale neural network workloads onto future hardware, working with LLVM/MLIR, and collaborating with hardware architects on codesign. Hybrid role based in Cambridge.

LLVM · MLIR · TensorFlow +3

• United Kingdom
• Hybrid
• Senior

Develops algorithms and optimizations for NVIDIA's LPX inference and compiler stack, building high-performance runtime and compiler components and mapping large-scale inference workloads onto future hardware. Works at the intersection of compilers, systems and deep learning, using LLVM/MLIR and frameworks like PyTorch and TensorFlow, and collaborates with hardware architects on codesign.

LLVM · MLIR · TensorFlow +3

• London
• £60 ph
• Senior
• Contract

Develops and deploys computer vision models using CNNs, Vision Transformers and deep learning, translating research into production-ready software and scalable ML pipelines. Works with PyTorch and Python alongside engineers and researchers on AI for defence and high-performance applications, with model evaluation, tuning and CI/CD responsibilities.

PyTorch · TensorFlow · Linux +1

• London
• Remote
• £200,000 – £300,000 pa
• Lead

Own machine learning projects end to end, from experimentation through to production, building reliable, scalable systems with Python and large language models. Provide technical leadership to ML engineers, set engineering standards, lead code reviews and make architecture decisions, working closely with research and application engineering teams to improve model performance in production.

LLM

• Mansfield
• Hybrid · 3 days in office
• Lead
• Permanent

Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Set technical direction, manage projects, communicate with stakeholders and mentor junior team members, taking ideas from prototype to production.

PyTorch · TensorFlow · Hugging Face Transformers +1

• Nottingham
• Hybrid · 3 days in office
• Lead
• Permanent

Leads development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Bridges R&D and production, prioritising initiatives with stakeholders and mentoring junior team members.

PyTorch · TensorFlow · Hugging Face Transformers +1

• London
• On-site
• £47,500 pa
• Entry level
• Contract

Lead a computational project modelling how driver mutation clones interact with their microenvironment in chronic liver disease and liver cancer. Develop graph neural networks, transformers and generative AI on large-scale spatial transcriptomics, single-cell and imaging data, in a cross-institutional collaboration with the Wellcome Sanger Institute's Lotfollahi Lab.

PyTorch · JAX · NumPy +1

• Leicester
• £40,704 pa
• Mid-level
• Contract

Lead the AI development strand of a UKRI-funded project building a physics-informed forecasting system for chemical fugitive emissions. You will construct a multi-modal training dataset and design, train and evaluate a Receptor Transfer Function Learner using generative AI downscaling, graph neural networks and explainable AI, working with environmental, meteorological and community data on GPU and HPC facilities.

PyTorch · TensorFlow · JAX +5

• London
• On-site
• £150,000 – £200,000 pa
• Mid-level
• Permanent

Develops and fine-tunes robot manipulation policies using behaviour cloning and reinforcement learning, then trains, evaluates and deploys models onto real humanoid hardware. Works within a specialist Manipulation team alongside simulation, teleoperation and controls engineers to improve sim-to-real transfer and training data quality. Distinct for being hands-on with physical robots rather than purely simulation or research.

PyTorch · JAX · OpenVLA +1

• Brentford
• Hybrid
• £70,000 – £95,000 pa
• Senior
• Permanent

Hands-on role designing and deploying production computer vision systems using CNNs and Vision Transformers, from model architecture and training pipelines to optimisation for cloud and edge. Involves translating recent AI research into reliable products for defence and security, collaborating with engineers, researchers and customers.

PyTorch · TensorFlow · CUDA +7

• London
• On-site
• Senior
• Permanent

Builds and scales generative and predictive models of cellular behaviour, implementing and optimising large neural networks and distributed training infrastructure. Acts as a bridge between ML research and production, profiling GPU workloads and optimising inference for use by data scientists and biologists on multi-modal biological data.

PyTorch · CUDA · Triton +1

• Cambridge
• Hybrid · 2 days in office

Conducts independent and collaborative research into language models, neural networks, statistical methods and classical machine learning, prototyping new ideas and improving existing projects. Implements models into the wider software stack, including optimised solutions for edge devices with tight latency and memory constraints, working closely with software engineers and security analysts.

PyTorch · TensorFlow · scikit-learn +2