Artificial Intelligence Jobs in Cardiff

• London
• Hybrid
• £65,000 – £145,000 pa

Expression of interest for engineers at all levels to join a government team building shared tooling and infrastructure for frontier AI security research. Work spans open-source Inspect plugins, large-scale evaluation systems, hosting open-weights models, secure model-access proxies, and custom research infrastructure.

Inspect

• London
• Hybrid
• £65,000 – £145,000 pa

Evaluates frontier and open-weight AI models for cybersecurity, autonomy and AI R&D capabilities, building realistic cyber ranges and CTF suites, running pre-deployment testing and validating novel model behaviours. Works alongside engineers and researchers with high autonomy, collaborating with UK government, frontier labs and NCSC.

Cyber Ranges · CTF · Claude

• London
• Hybrid
• £145,000 pa
• Director

Expression of interest for a Research Director role at the AI Security Institute, scoped at Level 7, focused on understanding advanced AI risks and translating that into government action. The position involves shaping public-interest research on frontier AI safety, with pre-release access to frontier models, ample compute, and collaboration with national security, policy and AI research experts.

• London
• Hybrid
• £65,000 – £145,000 pa

The Chem Bio team researches, evaluates and mitigates chemical and biological risks from frontier AI, running capability evaluations, building benchmarks and datasets, and developing safeguards and monitoring methods. The role spans ML, computational biology, chemistry and biosecurity, with findings shared with AI companies and government. It is an expression of interest for research engineers and scientists at any seniority.

• London
• Hybrid · 3 days in office
• Senior

Senior individual contributor building and owning shared platform, tooling and infrastructure for a research team, including LLM-based agent systems, evaluation frameworks and supporting infrastructure. Works closely with interdisciplinary researchers to translate varied needs into maintainable Python systems, with strong engineering discipline around testing, documentation and observability. Also contributes to architectural decisions, engineering standards and mentoring through code review and knowledge sharing.

AWS · Kubernetes · Slurm +2