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Company profile

Faculty Tech Stack

Applied AI consultancy building production ML systems and AI safety evaluations

Technology, Information and Internet London, England 201–500 employees Founded 2014 Privately Held
faculty.ai LinkedIn

Faculty is a London-based applied AI firm that designs, builds and deploys machine learning systems for public and private sector clients. Its stack spans PyTorch, TensorFlow, OpenAI and Anthropic across AWS, Azure and GCP, a multi-cloud shape typical of client-delivery work. Hiring is engineering-led and senior-heavy, with security, research and defence roles plus an AI Safety Director opening pointing to growth in model evaluation and red teaming.

Tech Stack 34 technologies

Core StackTensorFlow PyTorch Python AWS Docker Kubernetes OpenAI TypeScript Terraform Anthropic scikit-learn React Vue FastAPI Flask Django Go Rust C++ GitLab CI/CD NumPy Pandas Java JavaScript CloudFormation Node.js PostgreSQL Azure GCP D3.js+4 more

What Faculty Is BuildingChallenges and projects from their job posts

◆Challenges

  • Ensuring AI safety, security and trustworthy deployment
  • Delivering complex, high-stakes AI projects
  • Supporting net-zero transition and utility efficiencies
  • Optimising research and commercialisation of therapies

▲Active Projects

  • AI safety red teaming and frontier model evaluations
  • Production-grade, scalable ML deployment infrastructure
  • AI transformation for UK government partners
  • AI-native solutions for clients
  • Shared resources and libraries across the organisation

Hiring Activity

Steady70 roles · 15 in 30d

Department

Engineering
37
Data
9
Security
6
Research
4
Sales
3
Design
2
Public
2
Defence
1

Seniority

Senior
26
Lead
16
Mid
10
Principal
6
Director
5
Manager
4
Intern
1

Notable leadership hires: Customer Director, AI Safety Director

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About Faculty

Faculty is a privately held applied AI company founded in 2014 and headquartered in London, with 201–500 employees. It advises boards, leadership teams and governments on AI strategy, then designs and implements AI solutions and trains client staff. Work spans public services, defence, energy, utilities and life sciences, alongside safety work with frontier AI labs. Delivery runs on Python-based ML tooling, containerised infrastructure with Docker, Kubernetes and Terraform, and web front ends in React and Vue. Current hiring is concentrated in the United Kingdom.

HeadquartersLondon, England
Company Size201–500 employees
Founded2014
Hiring MarketsUnited Kingdom

Frequently Asked Questions

What tech stack does Faculty use?

Faculty uses Python, PyTorch, TensorFlow and scikit-learn for ML, OpenAI and Anthropic models, AWS, Azure and GCP clouds, Docker, Kubernetes, Terraform, GitLab CI/CD, and React, Vue and TypeScript front ends.

Is Faculty hiring engineers?

Yes. Engineering is Faculty's largest hiring area, mostly at senior and lead levels, with additional openings in data, security, research and leadership roles such as AI Safety Director, all in the United Kingdom.

What is Faculty working on?

Faculty is building production-grade ML deployments and scalable ML infrastructure, running AI safety red teaming and frontier model evaluations, and supporting AI transformation for UK government partners.

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How this profile is built

Faculty's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.