Artificial Intelligence Jobs

NVIDIA · Belfast

Lead security research, architecture and implementation for next-generation NVIDIA Networking products, taking a hands-on role defining hardware and software security solutions. Work across internal teams and external partners on IO interfaces, boot architecture, RISC-V, root-of-trust and secure platforms, guiding microarchitectural definition and open-source collaboration.

NVIDIA · United Kingdom

Builds production-quality C++ components, APIs and integrations for NVIDIA's AI-powered developer-tools ecosystem, connecting native C++ tools to the Genie knowledge service via Python, MCP and REST APIs. Also contributes to agentic workflows, retrieval and ingestion pipelines, evaluation infrastructure and enterprise integrations, mentoring engineers and driving initiatives from exploration to deployment.

CrowdStrike · United Kingdom

Join the Advanced Research Team to conduct vulnerability research and exploit development, analysing vendor patches to identify vulnerabilities and build proof-of-concept exploits. The role also involves reverse engineering, investigating 0-day and n-day exploitation, and developing automated tooling to process and analyse data at scale, with results published on the blog or at conferences.

CrowdStrike · Israel

Security researcher role on CrowdStrike Intelligence's Advanced Research Team, performing vulnerability research and exploit development across a wide range of targets. Day-to-day work includes analyzing vendor patches, identifying exploits in large file collections, reverse engineering, and building automated data collection and analysis tooling, with published research on the blog or at conferences.

Databricks · London

Founding backend engineer role building Lakebase, a managed Postgres transactional layer for the lakehouse, across teams covering platform reliability, a central control plane, and a high-throughput network proxy handling Postgres, HTTP, WebSockets and Data API traffic. Work spans distributed systems, at-scale service architecture, observability, SLI/SLO definition and AI-powered automation, with services on AWS S3, GCS and Azure Blob Store.

Gerrard White · Manchester · £28,000 – £32,000 pa

A graduate-level role analysing datasets to identify trends and opportunities, and supporting the development, testing and maintenance of statistical models and predictive solutions. You'll use Python, SQL, SAS or PySpark and machine learning techniques, presenting findings to technical and non-technical audiences while collaborating across teams on varied projects.

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

Develops and evaluates methods for reliable, localised and generalisable knowledge editing in large language models, adapting techniques such as ROME and MEMIT and comparing them with RAG, external memory and fine-tuning. Experiments use open-weight models on RTX 6000 Ada GPUs and UEA HPC, evaluated on CounterFact and zsRE benchmarks for efficacy, generalisation, locality and retention, with optional deployment in embodied AI or social robots.

Sheffield Hallam University · Sheffield · £40,704 – £45,641 pa

Deliver and develop undergraduate and postgraduate cyber security and AI programmes using an applied, project-based approach rather than traditional lectures. Teach technical areas such as ethical hacking, network intrusion detection, digital forensics and AI governance, with access to dedicated cyber security and PlayStation development labs.

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

Develops hybrid fault diagnosis methods for offshore wind turbine drivetrains, combining physics-based analytical models with AI-driven data analysis to improve fault detection and classification. Work spans numerical simulation, finite element modelling and experimental validation, targeting reduced false alarms and predictive maintenance. Based in Norwich within a Faculty of Science funded PhD programme.

OpenAI · London

Develops novel safety mitigations for frontier AI models, applying techniques from interpretability, control and alignment to keep deployed systems safe. Builds and refines risk evaluations, designs red-teaming pipelines, and sets research directions while partnering with experts in misalignment, cybersecurity and biology.

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 Oxford · Oxford · £39,424 – £41,336 pa

Technical researcher on the God and the Machine project, supporting Workstream 1 by using large language models as a computational hermeneutic tool and running experiments with local models, including interpretability, activation steering and machine unlearning. Also acts as technical expert for Workstream 2, which develops a theology of AI's mediation of human formation, within Oxford's Faculty of Theology and Religion.

Thought Machine · Lisbon, Portugal

Builds end-to-end features across web applications and backend services, owning requirements from engineering design through task breakdown, implementation and production debugging. Works with React, TypeScript and REST APIs in a cross-functional team of backend, front-end and full-stack engineers, with automated testing integrated throughout the development lifecycle.

Scale AI · London

Owns the full 0-1 design process for AI-driven products serving government and enterprise clients across the Middle East, working directly with PMs and engineers from raw concept to implementation. Requires fluent Arabic and English, and involves prototyping with AI tools like Cursor and Claude, plus data-informed design decisions.

Aioi Nissay Dowa Europe · Oxford · £81,322 – £112,488 pa

This role involves leading research in privacy-preserving generative AI, focusing on techniques like differential privacy, federated learning, and secure inference. The scientist will design and validate machine learning models, translate research into deployable systems, and contribute to publications and collaborations within a multi-partner environment. Emphasis is placed on responsible AI, reproducibility, and mentoring junior team members.