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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…
Full-stack engineer building production AI systems end to end: Python/FastAPI backends, TypeScript frontends with React or Vue, data pipelines and cloud infrastructure on AWS/Azure/GCP with Docker. Works cross-functionally with data scientists and PMs on national security and AI safety client projects.
As a Delivery Manager in Faculty AI's Professional and Financial Services unit, you own end-to-end delivery of client-facing applied AI projects — scoping, coordinating technical teams, managing senior stakeholders, and building client relationships. The role needs professional services/consulting experience and technical (ideally AI) project delivery skills.
Delivery Manager who owns end-to-end delivery of applied-AI projects for Faculty's retail and consumer clients, acting as the bridge between customers and technical teams while managing scope, value, and client relationships. London-based role requiring client-facing experience delivering AI/digital transformation projects.
Lead Machine Learning Engineer at Faculty AI (London, on-site) setting technical direction for complex AI/ML projects in the National Security and AI Safety unit — designing scalable production ML systems, leading platform delivery and CI/CD infrastructure with Kubernetes, TensorFlow/PyTorch, and coaching engineers. UK Developed Vetting eligibility may be required.
Delivery Manager in Faculty AI's Public Services unit, leading end-to-end delivery of AI projects for UK government clients — managing multidisciplinary teams, advising on AI strategy, and growing the business through proposals. Requires consultancy delivery experience, GDS familiarity, and UK security clearance eligibility.
A Delivery Manager in Faculty AI's National Security and AI Safety unit, owning end-to-end delivery of AI safety projects such as frontier model evaluations and red teaming for government and frontier-lab clients, acting as the link between data scientists and customers.
Senior Software Engineer at Faculty AI leads development and deployment of cutting-edge AI and software systems, designing and building scalable, production-grade ML/software and infrastructure. Core technologies include Python, cloud platforms (AWS, Azure, GCP), and container orchestration tools (Docker, Kubernetes).
Lead Data Scientist on Faculty AI's Life Sciences team, setting technical direction and delivering production-grade ML solutions for pharma and healthcare clients while mentoring teams and managing stakeholder relationships.
Lead Software Engineer at Faculty AI driving technical direction and delivery of ML/software projects for life sciences clients, using Python, cloud platforms, and containerised architectures.
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