About this role
Based in UK - London, Faculty seeks a Forward Deployed Engineer to deliver bespoke artificial intelligence solutions for government and global enterprise clients. This position suits a technical professional with software engineering expertise and experience operationalising machine learning systems in production.
Role Overview
The Forward Deployed Engineer joins the National Security and AI Safety business unit to build and deploy responsible machine learning software. The professional operates at the intersection of technical delivery and client collaboration, helping organizations across various sectors transform their performance through human-centric artificial intelligence.
Key Responsibilities
Requirements
Skills and Tools
About the Company
Established in 2014, Faculty partners with global customers spanning energy, finance, government, defence, life sciences, and retail. The organization focuses on building responsible artificial intelligence that delivers measurable impact while maintaining high standards for security and trustworthiness.
How to Apply
Interested candidates should submit their application directly on the official Faculty careers page.
Skills and tech stack
Questions candidates ask
Where is the position located?
The role is located in UK - London, though workers may occasionally need to work on site with clients.
What security clearance might be required?
Due to government client projects, candidates may need eligibility for UK Developed Vetting (DV).
What does the interview process involve?
The interview process consists of 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 available?
Faculty is open to discussions regarding part-time hours for this position.
What machine learning frameworks are relevant to the role?
Candidates should have experience operationalising models built with frameworks like PyTorch, TensorFlow, or Scikit-learn.