Artificial Intelligence Jobs

• Cambridge
• £50,000 – £80,000 pa

Develops intelligent embedded systems using Python, C and C++, applying machine learning and computer vision to real-world products. Works with microcontrollers, sensors and connected hardware, designing software architectures and delivering production code while collaborating directly with clients from concept to finished product.

TensorFlow · TensorFlow Lite · OpenCV +1

• London
• £110,000 pa
• Lead · manages people
• Permanent

Hands-on leadership role taking AI solutions from proof of concept to secure, production-grade deployments in highly regulated Security & Justice environments. Involves designing end-to-end AI architectures, leading multidisciplinary teams, shaping technical roadmaps and ensuring governance, security and operational compliance across LLM, RAG and Generative AI workstreams.

LangChain · LangGraph · Azure +2

• London
• £70,000 – £110,000 pa
• Lead · manages people
• Permanent

Hands-on leadership role taking AI solutions from proof of concept to secure, production-grade deployments in regulated Security & Justice environments. Involves designing end-to-end AI architectures, leading multidisciplinary teams, shaping technical roadmaps and ensuring governance and security compliance across LLM, RAG and MLOps workstreams.

LangChain · LangGraph · Azure +2

• New York, United States
• Hybrid · 2–3 days in office
• US$120,000 – US$240,000 pa

Builds and deploys deep learning and probabilistic models to predict and control physical systems, working alongside simulation and ML engineers. Owns data pipelines and production deployment, and collaborates directly with customers on-site across multiple regions. Based in Manhattan with 2-3 days per week in office and frequent travel.

NumPy · SciPy · Pandas +2

• Southampton
• Hybrid
• £41,064 – £45,064 pa
• Contract

Embed physics-informed generative AI tools into a marine vessel concept, generation and evaluation platform as part of a Knowledge Transfer Partnership between Compute Maritime Ltd and the University of Southampton. Develop and validate fast physics-informed models for ship resistance, propulsion and energy efficiency using CFD and benchmark data, and integrate multidisciplinary optimisation methods into the NeuralShipper platform.

PyTorch · TensorFlow · JAX +2

• Guildford
• £21,805 pa
• Entry level
• Permanent

Develops a computational framework combining computer vision, graphics and machine learning to speed up and improve cinematic camera lens design and simulation. The work covers forward simulation of candidate lens configurations and inverse design of lens architectures against imaging or perceptual objectives, using differentiable rendering and data-driven models. Based at the Vision, Speech and Signal Processing group under Dr Marco Volino and Dr Jean-Yves Guillemaut, with close industry collaboration.

PyTorch · TensorFlow

• Cambridge
• On-site
• £40,000 – £70,000 pa
• Mid-level
• Permanent

This role involves developing end-to-end machine learning systems integrated with advanced electronics for defence and security applications. You'll work across diverse domains such as computer vision and generative models, building functional prototypes and demonstrators. The role emphasizes innovation, rapid iteration across projects, and close collaboration in a technically driven, low-management environment.

• 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
• Hybrid
• Lead
• Permanent

Lead the technical strategy, architecture and deployment of secure AI systems across high-stakes domains, bridging research and production impact. The role involves capability testing for Frontier AI models, multi-agent systems, scalable cloud infrastructure and safety-first frameworks, while advising senior clients and mentoring engineering talent.

AWS · Azure · GCP +4

• London
• Hybrid
• Lead
• Permanent

Drives technical strategy, architecture and deployment of secure AI systems across high-stakes domains, bridging AI research and production. Leads capability testing for Frontier AI models, builds scalable ML infrastructure and multi-agent tooling, and advises senior client stakeholders while mentoring engineers.

AWS · Azure · GCP +4

• Singapore
• Lead · manages people

Lead technical delivery of physics-informed AI, architecting deep learning models and optimisation methods to predict and control physical systems. Own data pipelines and pre-processing best practices while mentoring a team and collaborating with simulation engineers and customers. Involves frequent on-site customer travel across multiple regions.

NumPy · SciPy · Pandas +2

• London
• Hybrid · 1 day in office
• £260,000 – £630,000 pa
• Mid-level

Blends reinforcement learning research with engineering, building and scaling RL infrastructure, training environments and evaluations for large language models. Work spans agentic tool use, code generation, reasoning and distributed GPU training, with close collaboration across research, alignment and production teams.

PyTorch · TensorFlow · JAX +3

• Abu Dhabi, United Arab Emirates
• Entry level
• Contract

Conducts AI and network data science research on molecular multi-omics and medical data to advance precision medicine and discover new therapeutics. Works with an interdisciplinary team on the flagship Human Phenotype Project and Emirati Genome Project datasets, designing algorithms, publishing papers, and helping supervise PhD and MSc students.

Python · TensorFlow · PyTorch +3

• London
• £36,000 – £38,000 pa
• Entry level

Support senior researchers on AI projects, handling data collection, algorithm development, experimental design and analysis, and contributing to reports and publications. Includes a structured 3-month training and induction programme with mentorship, aimed at recent graduates with Python, PyTorch or TensorFlow, NumPy, Pandas and Git exposure.

PyTorch · TensorFlow · NumPy +3

• Milton Keynes
• Hybrid
• £41,950 pa
• Entry level
• Contract

Develops novel computer vision techniques to capture and analyse live-broadcasted eSports events, identifying in-game events and building low-latency AI calculations for in-play betting markets. Works with Python, TensorFlow or PyTorch alongside Java and .NET colleagues, using historical game data and video feeds to detect irregular play patterns. A KTP partnership between the University of Essex and Sports Information Services Ltd.

TensorFlow · PyTorch · .NET