Faculty Tech Stack

Applied AI consulting and products for enterprise and public sector

Technology, Information and Internet London, England 201–500 employees Founded 2014 Privately Held

Faculty is a London-based AI services and products firm founded in 2014, built around a PhD-heavy technical team. The stack is pure ML/AI (TensorFlow, PyTorch, scikit-learn) plus infrastructure (AWS, Azure, GCP, Kubernetes), with no front-end web presence — reflecting that the firm delivers bespoke solutions and internal tools rather than packaged SaaS. The hiring mix is heavily engineered toward technical depth: engineering (39 roles) and data (19) dominate, with security (9) a notable third pillar, signaling serious focus on AI safety and risk assurance for high-stakes domains like healthcare and government.

Tech Stack 24 technologies

Core StackTensorFlow PyTorch scikit-learn Python AWS TypeScript React OpenAI Anthropic Docker Kubernetes NumPy Pandas Node.js PostgreSQL GitLab Terraform Vue FastAPI Flask Django Go Azure GCP

What Faculty Is Building

◆Challenges

Optimising research and commercialisation of therapies
Optimising nhs
Integrating into existing systems
High-risk projects
Complex ai risks
Optimising critical processes
Model red teaming for high-stakes missions
Driving efficiencies for utility companies
Scalable cloud infrastructure for ai/ml workflows
Reducing bureaucratic backlogs

▲Active Projects

Frontier decision intelligence platform
Bespoke ai solutions
Frontier model evaluations
Computational twins
Cloud infrastructure for ai and ml workflows
Software architecture design for new engagements
Red-teaming projects in high-risk domains
Scaling decision intelligence offering
Ai agent and decision hub capabilities
Frontier product

Hiring Activity

Accelerating85 roles · 45 in 30d

Department

Engineering

Data

Security

Product

Public

Sales

Defence

Research

Seniority

Senior

Lead

Mid

Director

Manager

Principal

Junior

Intern

Notable leadership hires: Customer Director

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About Faculty

Faculty delivers applied AI consulting, strategy, and custom solutions to enterprise and public-sector clients. The company works across three primary service areas: advising boards and leadership on AI strategy and governance, designing and implementing production AI systems, and providing AI training and upskilling for client teams. Projects span frontier model evaluation, decision intelligence platforms, computational twins, and red-teaming for high-risk use cases. The firm maintains close partnerships with frontier AI labs (OpenAI, Anthropic) to access and integrate latest models while maintaining focus on safety and explainability. Operations span the UK with 201–500 employees.

HeadquartersLondon, England

Company Size201–500 employees

Founded2014

Hiring MarketsUnited Kingdom

Frequently Asked Questions

What is Faculty's tech stack?

Faculty uses TensorFlow, PyTorch, scikit-learn, Python, AWS, Azure, GCP, Kubernetes, Docker, and PostgreSQL. They integrate OpenAI and Anthropic models. Development languages include TypeScript, Node.js, Go, and Python frameworks (FastAPI, Flask, Django).

What kind of AI projects does Faculty work on?

Projects include frontier model evaluation, decision intelligence platforms, computational twins, cloud infrastructure for AI/ML workflows, red-teaming in high-risk domains, and bespoke AI solutions for healthcare, government, and utility optimization.