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.

Darktrace · Cambridge

Leads the strategy, roadmap and execution of Darktrace's interactive demo estate, managing a small team of technical content specialists. Partners with Product, Marketing, Enablement and Sales Engineering to evolve demos from on-rails walkthroughs into live sandbox environments, overseeing scenario, training and video content.

Profile 29 · London · £40,000 – £50,000 pa

Supports founders, developers and customer success on a fundraising SaaS platform, splitting time between customer conversations, writing product requirements, testing features and researching AI applications. Runs sprint planning, monitors feedback and performance, and helps shape 3- and 12-month roadmaps while balancing technical debt against new features.

Tech Recruitment Specialists Ltd · London · £38,000 – £45,000 pa

Supports the development, optimisation and deployment of AI and machine learning models, working with large datasets for preprocessing and training, and helping monitor AI applications in production. Collaborates with software engineers, product teams and data specialists, contributes to backend development and API integrations, and researches new AI frameworks. Emphasis on responsible, ethical AI with bias mitigation, transparency and fairness.

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 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 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.

eFinancialCareers · London

Leads a global legal and professional services firm's AI and data agenda, translating strategy into a delivery programme that moves initiatives from experimentation to sustainable adoption. Works across legal, fiduciary and business services divisions on productivity, decision-making and client outcomes, reporting to the Director of Service Innovation and managing AI and data delivery teams through matrix leadership.

Harnham - Data and Analytics Recruitment · London · £120,000 – £150,000 pa

Lead and build a data science function within a fintech, owning strategy across risk, affordability and lending decisioning. Design, build and deploy machine learning models using credit risk, Open Banking and customer data, working with Product, Engineering and Credit Risk teams. Requires hands-on Python, SQL and MLOps experience plus credit risk modelling in UK consumer lending.

Isomorphic Labs · Cambridge, United States

Lead and execute the translational medicine strategy across oncology programs, ensuring clinical biomarker assay readiness and data delivery to inform mechanism of action, resistance and future indications. Serve as a core program team member and cancer biology expert, collaborating with AI and computational biology teams to build innovative biomarker analysis tools and advance companion diagnostics.

Luminance · London

Product Associates at this legal AI company work across the development lifecycle, collaborating with engineering, design, marketing and sales to drive product initiatives. Day to day involves writing product specs and requirements, managing timelines, coordinating launches, producing documentation and training materials, and conducting market research. The role is fast-paced and acts as a liaison between product management and other departments.

Luminance · London

This is a fantastic opportunity to join Luminance, the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ and Inc....

Faculty · London

Associate role in the National Security and AI Safety business unit, managing work streams to deliver bespoke AI solutions for government and intelligence clients. Involves open-source analysis, translating operational requirements into user stories, and designing workflows for high-stakes decision-making alongside technical teams. May require UK Developed Vetting eligibility and occasional on-site client work.

University of Sheffield · Sheffield · £39,560 – £43,099 pa

Postdoctoral role applying explainable NLP and machine learning to analyse online disinformation narratives, integrate findings into a user-facing verification toolkit, and evaluate commercial chatbots and AI-generated search overviews. The researcher joins the European-funded ANTIGONE project, collaborating with multidisciplinary partners and leading publication of results in high-impact journals and conferences.

Jam Management Consultancy ltd · Reading · £35,000 – £38,000 pa

Graduate role investigating and resolving technical issues across enterprise software platforms, analysing system performance and supporting troubleshooting on cloud-based applications. Works alongside experienced engineers on analysis, testing and continuous improvement, with exposure to AI, ML, NLP, SaaS, IoT and languages including Python, C#, .NET, Java, JavaScript, TypeScript, React, C++ and SQL.

eFinancialCareers · London

Leads the design, development and operation of high-rigor analytical and machine-learning systems across a complex, regulated financial-services estate, defining the AI/ML roadmap while remaining hands-on. Owns the full model lifecycle from feature engineering and back-testing to deployment, monitoring and incident response, with models expected to be explainable and production-grade. Works closely with engineering, data platform and product teams, mentoring other data scientists with limited line management.