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Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through…
Faculty AI is hiring a Frontend Engineer in London to build client-facing web apps that visualise machine-learning insights, mainly for government and public-sector clients. Day to day involves React/TypeScript development, d3 data visualisation, cloud deployment, and setting frontend standards and mentoring — with possible UK DV clearance eligibility.
Lead Data Scientist (Safety) at Faculty AI in London, driving the scientific direction of upstream AI safety and evaluation work for Frontier Labs — architecting experiment frameworks and software infrastructure, mentoring data scientists, and partnering with clients. Core stack: Python, NumPy/Pandas, and AI evaluation frameworks like Inspect AI.
Lead Software Engineer focused on AI safety at Faculty AI in London: sets technical strategy and architecture for secure production ML systems, builds safety evaluations and multi-agent tooling with Frontier Labs, advises senior clients, and mentors engineers. Core stack: Python, AWS/Azure/GCP, Docker/Kubernetes, PyTorch/TensorFlow.
Lead ML Engineer at Faculty AI (London) driving technical strategy, architecture, and deployment of secure, safety-first AI systems. Day to day: lead capability evaluations and multi-agent tooling with Frontier Labs, advise client leadership, set company-wide ML standards, and mentor engineers using Python, cloud platforms, and container orchestration.
Senior ML Engineer who leads the design, build, and deployment of production-grade machine learning systems and infrastructure for clients, including UK government. Day-to-day involves technical scoping, ML engineering with Python/TensorFlow/PyTorch, cloud and Kubernetes infrastructure, plus client advisory and mentoring junior engineers.
Build and deploy production-grade AI systems for government and enterprise clients, focusing on scalable ML architecture and responsible AI deployment.
Build and deploy production-grade machine learning systems for government and enterprise clients, using Python, cloud platforms, and ML frameworks like TensorFlow or PyTorch.
Build and deploy production-grade ML software, tools, and infrastructure for Faculty AI's National Security and AI Safety clients, acting as a technical advisor and shaping how ML is deployed at scale. Core stack: Python, Scikit-learn/TensorFlow/PyTorch, cloud (AWS/Azure/GCP), Docker and Kubernetes; London-based with possible UK DV clearance.
Delivery Manager in Faculty AI's Defence team, owning end-to-end delivery of AI transformation programmes for UK Defence customers — scoping, planning, stakeholder management, and delivering AI/data science projects with measurable value. Requires UK Security Clearance eligibility and 2-4 days/week on-site client work.
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