Machine Learning Jobs in Salford

CureAge Therapeutics · London

Lead the computationally guided design of a lipid nanoparticle delivery platform, applying chemical and biophysical principles to optimise LNP composition and formulation. Use AI-enabled chemistry, cheminformatics, predictive models and molecular modelling to prioritise formulation components, working closely with the experimental team and founding team in a small start-up.

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.

AI Security Institute · London · £65,000 – £145,000 pa

Engineers at all levels build and scale the shared tooling and infrastructure behind the institute's AI safety research, from Inspect plugins and large-scale evaluation systems to model hosting and secure proxy infrastructure. Work spans open-source collaboration, supporting research teams with custom setups, and hardening infrastructure for frontier model evaluations.

AI Security Institute · London · £65,000 – £145,000 pa

The Chem Bio team researches, evaluates and mitigates chemical and biological risks from frontier AI systems, running capability evaluations, building benchmarks and datasets, and developing safeguards and monitoring methods. Findings are shared with frontier AI companies, UK officials and allied governments to inform deployment and policy. The role is open to research engineers and scientists at all seniority levels, with appointment conditional on obtaining UK Government Developed Vetting clearance.

AI Security Institute · London

Senior individual contributor building the shared platform, tooling and infrastructure for an interdisciplinary chem-bio research team, including LLM-based agent systems and evaluation frameworks. Works closely with researchers to translate varied needs into maintainable Python systems, while contributing to engineering standards and mentoring peers without line management.