Senior Machine Learning Engineer (Safety)
About this role
Based in London, the Senior Machine Learning Engineer role at Faculty involves designing and deploying secure AI systems for national security and AI safety initiatives, making it an ideal fit for experienced software and machine learning professionals who want to work on high-stakes technology. Faculty operates in the UK, building responsible artificial intelligence solutions for global clients across government, finance, retail, energy, life sciences, and defence.
Role Overview
Faculty seeks a Senior Machine Learning Engineer for its National Security and AI Safety business unit. This position centers on architectural decisions, capability testing for frontier models, and guiding production-grade infrastructure. The professional in this role will act as a technical advisor while mentoring junior team members and collaborating with cross-functional groups.
Key Responsibilities
Requirements
Skills and Tools
About the Company
Established in 2014, Faculty focuses on human-centric artificial intelligence to improve client performance across various sectors, including government, finance, retail, energy, life sciences, and defence. The organization partners with global clients and frontier labs to deliver responsible AI safety red teaming, evaluation, and national security capabilities. Faculty values a diverse workforce and encourages applicants from all backgrounds and experiences.
How to Apply
Interested candidates should submit their application directly through the official company careers page.
Skills and tech stack
Questions candidates ask
Where is the job located?
The position is based in London, UK.
What business unit manages this position?
This role sits within Faculty's National Security and AI Safety business unit.
What does the interview process involve?
The recruitment process includes a 30-minute talent team screen, a 90-minute pair programming interview, a 90-minute system design interview, and a 60-minute commercial interview.
Are alternative work schedules permitted?
Faculty is open to discussions regarding part-time hours for this position.
Does the company use AI during the recruitment process?
Faculty uses an AI note-taker called Metaview during interviews, which candidates can opt out of. However, every application is reviewed by a human and is never decided solely by AI.