Faculty jobs, judged for you, free

What they do

Faculty builds and deploys AI systems for clients. The founders set it up in 2014. Postings say it worked with over 350 customers in government, finance, retail, energy, life sciences, and defence. It sells Frontier, a platform that helps people make decisions. Its AI safety team tests models for frontier AI labs and governments.

What they value

• Grow the best team: hire only people who make Faculty better.
• Act with integrity, even when it costs something.
• Seek truth over winning the argument, and find the root cause.
• Maximize impact: find what matters most to the customer and do it fast.
• Do great work: master your craft and work hard, but sustainably.
• Be humble and kind: learn from everyone and treat people kindly.

Where they hire

Of 79 Postings, 68 name London and 11 name Remote (UK). The board marks 78 as hybrid. The 11 remote roles are in Defence. They ask for 2 to 4 days a week at client sites in the UK, and the rest in the London office or remote. No Posting mentions visa sponsorship. 28 Postings mention UK security vetting.

Teams and roles

The board has 79 Postings. Most sit in a business unit named for the clients it serves.

• National Security & Safety: 17 Postings. Machine learning, software, and forward deployed engineers, plus delivery roles for AI safety work.
• Defence: 14 Postings. Machine learning engineers, data scientists, a computer vision lead, customer directors for aerospace and maritime, and an unpaid one-week placement for veterans.
• Professional & Financial Services: 14 Postings. Engineers, a Principal Data Scientist, a Head of Banking, a Head of AI Validation, and a private equity role.
• Life Sciences and Consumer & Retail: eight Postings each.
• Public Services: six Postings. Energy Transition & Environment: two.
• Research & Development: five AI safety research roles, from Research Scientist to Technical Director.
• Single roles: a Principal Designer, a platform Software Engineer, a Head of Marketing, a Talent Partner, and a talent pool for technical people.

By kind of role, 22 are machine learning engineers, 12 are software engineers, seven are data scientists, and three are forward deployed engineers. 21 are delivery and client roles: Delivery Manager, Associate, Senior Manager, and Customer Director.

What they look for

Most roles work with clients. 63 Postings mention work with stakeholders, and 38 mention non-technical people that you must explain technical ideas to. Engineering Postings ask for strong Python and for experience putting models into production with PyTorch or TensorFlow. They also ask for a cloud platform such as AWS, Azure, or GCP, and for Docker and Kubernetes. Full stack roles ask for TypeScript with React or Vue. Senior roles ask you to mentor other people. Delivery roles ask for experience in consulting or professional services and with technical projects, ideally in AI. Research roles ask for a record of AI research, such as publications, and for deep knowledge of language models.

Twelve Defence Postings require you to be eligible for UK Security Clearance (SC). One customer director Posting requires eligibility for Developed Vetting (DV). 15 more Postings in government work say you may need SC or DV.

23 engineering Postings list four interview stages: a talent team screen, pair programming, system design, and a commercial interview. 17 delivery and client Postings list a case study interview. Every Posting says that Faculty is open to part-time hours, and asks you to apply even if you do not meet every requirement. Every Posting asks you not to use AI to generate answers in live interviews.