Artificial Intelligence Jobs

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.

CrowdStrike · Reading

Six-month graduate internship in the Falcon Complete team, triaging and analysing security alerts, investigating customer inquiries, and performing basic malware analysis. Interns learn the Falcon platform and internal tooling while managing administrative tasks and presenting a project to improve security controls.

Barclays · London

Summer internship in the Client Data & Engineering Group, working on real projects that apply data, analytics and AI to generate client and market insights across the Investment Bank. Interns analyse datasets, build dashboards and visualisations, support data platforms and data quality, and contribute to AI/ML use cases, collaborating with Markets, Banking and Technology stakeholders over a 10-week programme.

Back TO Work · Nottingham · £26,500 pa

An apprenticeship supporting a manufacturing firm's IT and security team, monitoring production networks for unusual activity, responding to alerts, managing user accounts and access permissions, and helping maintain security standards across office and factory systems. The role blends cybersecurity with AI, using AI-powered tools for anomaly detection, automation and reporting dashboards, while learning to protect operational technology and connected devices.

University of East Anglia · Norwich

Develops hybrid fault diagnosis methods for wind turbine drivetrains, combining analytical models of drivetrain physics with AI-driven data analysis to improve fault detection and classification. Work spans analytical studies, computer simulations, finite element analysis, and experimental development and validation, addressing a gap in condition monitoring for electrical faults.

University of Exeter · Exeter · £21,805 pa

Develops a resource-aware AI framework for 2D and 3D medical imaging that adapts computation to case complexity, clinical risk and available hardware. Investigates where unnecessary computation occurs, builds a configurable model family, and validates it on population-scale abdominal MRI (UK Biobank) and near-patient dermatology imaging, with safety assessed across patient subgroups.

The Francis Crick Institute · London · £47,500 pa

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.

University of West London · London · £18,000 pa

Develops an AI-enabled decision-support framework combining building-performance simulation, machine learning, GIS and remote sensing to optimise green roofs and façades for energy, carbon and thermal performance. Primarily computational, with no routine lab or fieldwork, and scope refined with the successful candidate.

Mohamed bin Zayed University of Artificial Intelligence · Abu Dhabi, United Arab Emirates

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.

University of Essex · Milton Keynes · £41,950 pa

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.

University of Exeter · Exeter · £21,805 pa

Develops and evaluates AI, machine learning and deep learning methods for grading retinal fundus images to detect diabetic retinopathy, glaucoma, cataract and AMD. Works with large datasets including EyePACS, UK Biobank and NHS sources, comparing algorithm accuracy against NHS clinicians and optimising explainable models for clinical trust.

University of Oxford · Oxford · £39,424 – £47,779 pa

Deliver AI safety research for the ARIADNE consortium, a Wellcome-funded generative AI system conducting clinical interviews to assess psychosis risk. Develop LLM supervisor modules that detect delusional reinforcement and inappropriate responses to suicidal symptoms, evaluating them in controlled testbeds with simulated patients and LLM-as-judge scoring calibrated against clinicians.

University of Birmingham · Birmingham · £21,805 pa

Develops a physics-informed AI framework to design and optimise alternative cooling mechanisms and refrigeration cycles, integrating thermodynamic modelling, machine learning and multi-objective optimisation. Experimental work validates selected combinations, with scope to balance computational and lab effort. Based in the School of Chemical Engineering alongside sustainable cooling and energy storage research centres.

University of Nottingham · Nottingham · £21,805 pa

A fully funded four-year PhD developing thermodynamic and transient models of hybrid energy systems combining gas turbines, carbon capture, biomass gasification and solar thermal. The work covers techno-economic and life cycle assessment plus AI-driven optimisation and control, with a three-month industrial or policy placement through the Net2Zero CDT.

University of Cambridge · Cambridge · £33,662 – £46,970 pa

Lead a workstream within the IMPACT-OC European consortium, building a multi-agent AI system for ovarian cancer that spans imaging, genomics, histopathology and clinical records with privacy-preserving federated learning. The role is jointly based in the Department of Radiology and the Early Cancer Institute, combining multimodal AI pipelines, digital twin technology and clinician-facing deployment across eight partner institutions.

University of Oxford · Oxford · £21,805 pa

Investigates how the rapid growth of AI can be supported by more sustainable, circular hardware and infrastructure, linking computational performance to the physical materials and equipment required. Develops scenarios for UK AI and data centre growth, mapping hardware requirements to critical raw materials and modelling how lifetime extension, reuse, repair and remanufacture could cut environmental impacts. Based in the Circular Economy and Sustainability Lab, contributing to the Circular Electricals and Electronics Project.