Faculty is a pioneering AI company that transforms organizational performance through safe, impactful, and human-centric AI solutions. As a Machine Learning Engineer, you'll join a dynamic team working on cutting-edge ML applications in the Defense sector. The role combines engineering excellence with ML expertise, focusing on building production-grade systems and infrastructure.
You'll work in Faculty's Old Street office and client locations in a hybrid setup, spending up to three days per week client-side. The position offers unique opportunities to work on high-impact problems in the National Security space, requiring security clearance eligibility.
The ideal candidate combines technical expertise with a scientific mindset and pragmatic approach. You'll be responsible for the entire ML lifecycle, from working with data scientists to deploy models, to creating scalable tools and infrastructure. Experience with cloud platforms, containers, and ML frameworks is essential.
Faculty offers a distinctive professional environment where you'll work alongside brilliant minds from diverse backgrounds. The company serves over 300 global customers, providing software, AI consultancy, and runs an award-winning Fellowship programme. This role presents an exceptional opportunity to shape the future of AI applications while working with leaders from government, academia, and global tech.
The position offers significant growth potential in a rapidly evolving organization, where you'll contribute to solving real-world problems using cutting-edge technology. You'll be part of a team that values innovation, pragmatic solutions, and responsible AI development, making a meaningful impact in the defense and security sector.