About this role
The Software Engineer (Safety) role is available at Faculty in London, UK, suiting professionals experienced in building production-grade machine learning systems and AI safety evaluations. This position bridges the gap between research and real-world deployment for clients in high-stakes environments.
Role Overview
The Software Engineer (Safety) position involves building and deploying production-grade machine learning software and infrastructure for diverse global clients. Operating within the National Security and AI Safety business unit, the professional in this role will collaborate with frontier labs, government agencies, and major technology organizations to ensure artificial intelligence systems remain secure, reliable, and trustworthy.
Key Responsibilities
Requirements
Skills and Tools
About the Company
Faculty was founded in 2014 with the belief that artificial intelligence is a critical technology. The organization partners with global customers across government, finance, retail, energy, life sciences, and defence to transform performance through human-centric artificial intelligence. The business unit focusing on national security and AI safety works at the frontier of high-impact missions to support global stability and responsible artificial intelligence deployment.
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 Software Engineer (Safety) position located?
The position is based in London, United Kingdom.
What programming language is required for the role?
The role requires strong Python skills.
What container and orchestration tools are used?
The position involves working with Docker and Kubernetes.
What does the interview process consist of?
The interview 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.
What machine learning frameworks are mentioned in the posting?
The posting mentions Scikit-learn, TensorFlow, and PyTorch.