Research Scientist (AI Safety)

Location: London, UK; hybrid working.

Company

hirify.global develops and deploys responsible AI solutions for clients across government, finance, retail, energy, life sciences, and defence.

What you will do

• Design and execute technical research experiments to study and steer model behavior.
• Apply white-box and black-box methods for interpretability, steering, and behavioral analysis of transformer-based LLMs.
• Develop clean, modular, reproducible research code in Python with PyTorch and maintain supporting research infrastructure.
• Document findings in academic papers, technical reports, and presentations.
• Collaborate with senior research scientists to identify literature gaps, refine hypotheses, and define research scope.
• Translate technical insights for external frontier labs, government bodies, and AI safety institutes.

Requirements

• Strong foundation in machine learning fundamentals and transformer architectures, especially LLMs.
• Practical understanding of white-box and black-box interpretability techniques, including steering vectors or mechanistic interpretability.
• Ability to formulate hypotheses from structured technical problems.
• Strong Python and PyTorch programming skills, with experience writing clean, modular research code and using Git.
• Excellent communication skills for producing clear reports and presentations.
• Analytical rigour and exposure to AI safety areas such as robustness, evaluations, or uncertainty calibration.

Culture & Benefits

• Unlimited annual leave.
• Private healthcare and dental coverage.
• Enhanced parental leave.
• Family-friendly flexibility and flexible working.
• Sanctus coaching.
• Hybrid working environment with an inclusive, diversity-focused culture.