Artificial Intelligence Jobs

University of East Anglia · Norwich · £21,805 pa

A PhD studentship developing multispectral and hyperspectral imaging combined with machine learning to detect and classify marine litter from aerial and drone-based platforms. The researcher will characterise litter material reflectance in the lab, curate imaging datasets, and build models robust to changing illumination and sensor differences, based in the Colour & Imaging Laboratory and working with CEFAS scientists.

University of Surrey · Guildford · £21,805 pa

Develops next-generation federated machine unlearning algorithms that deliver verifiable, robust erasure without harming model performance or participant privacy. Research spans certified unlearning with formal guarantees, robustness to adversarial relearning, federated-specific benchmarks, and scalable unlearning for foundation models, supervised by Dr Pedro Porto Buarque de Gusmao and Dr Frank Guerin.

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.

Noir · Abingdon · US$170,000 – US$195,000 pa

Take full ownership of the technology function at an early-stage AI venture, making key architectural decisions and building a founding engineering team. The platform combines proprietary data, real-time insights and advanced AI (LLMs, RAG, AI agents) for a specialised luxury and wealth intelligence market. The role blends hands-on engineering with founder-level strategy and equity.

Noir · London · £160,000 – £180,000 pa

Take full ownership of the technology function at an early-stage AI venture, making key architectural decisions and building a founding engineering team. The platform combines proprietary data, real-time insights and advanced AI, with work spanning LLMs, RAG pipelines, AI agents, data infrastructure and cloud architecture. It is a hands-on founder role rather than a traditional management position.

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.

Databricks · London

Lead a team of Enterprise Named and Strategic Account Executives covering Telco and Utilities in UKI, owning team quota and growing platform consumption. You set territory plans, quotas and patches, drive forecast accuracy and partner with cross-functional teams on a full revenue and customer success process. Reports to the RVP, Enterprise.

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.

NVIDIA · Bristol

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 modern CPU and GPU architectures. The intern also publishes optimisation techniques via developer blogs or conferences and helps influence next-generation hardware, software and programming models.

Faculty · London

Supports delivery of bespoke AI solutions for national security and government clients, focusing on frontier model evaluations and AI safety red teaming. Involves managing work streams, conducting open-source analysis, translating operational requirements into user stories, and designing workflows for high-stakes decision-making alongside technical teams.

NVIDIA · Zürich, Switzerland

Research and develop techniques to GPU-accelerate deep learning, machine learning and other AI workloads, working with technical experts to analyse and optimise complex AI and HPC algorithms on modern CPU and GPU architectures. The role also involves publishing optimisation techniques via developer blogs or conferences and influencing next-generation hardware and software design.

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.

University of Exeter · Exeter · £21,805 pa

An interdisciplinary PhD co-designing miniaturised, low-power sensing hardware with AI for field-based wildlife monitoring, including individual recognition and automated behaviour quantification. Systems are benchmarked in controlled conditions then validated on wild jackdaws and West African field sites, spanning behavioural ecology, electronic engineering and data science.