About this role
This role suits professionals who want to build and deploy production-grade machine learning systems within national security and AI safety domains. This position is located in London, United Kingdom, and involves delivering custom artificial intelligence solutions for various global customers.
Role Overview
The Machine Learning Engineer position at Faculty involves implementing scalable software architectures and guiding technical projects from development to production. Team members work directly with clients and multidisciplinary groups to address complex technical challenges across sectors such as government, finance, and defence.
Key Responsibilities
Requirements
Skills and Tools
About the Company
Faculty was established in 2014 to develop human-centric artificial intelligence technologies. The company collaborates with global customers across government, finance, retail, energy, life sciences, and defence sectors. The organization operates a National Security and AI Safety business unit focused on responsible AI deployment for national security and global stability.
How to Apply
Interested candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
Where is the job located?
The role is located in London, UK, with occasional on-site work required with clients.
What clearance might be required for this position?
Candidates may need to be eligible for UK Developed Vetting (DV).
What programming languages and frameworks are needed?
The role requires Python along with experience in frameworks such as Scikit-learn, TensorFlow, or PyTorch.
What does the interview process consist of?
The process includes a talent team screen, a pair programming interview, a system design interview, and a commercial interview.