Description
Faculty is looking for a Machine Learning Engineer to join its Defence team, which focuses on building and embedding human-centered AI solutions to give the UK a competitive edge in the defence sector.
The successful candidate will work on delivering bespoke AI solutions for clients, ensuring technical feasibility and timely delivery of high-quality ML systems. They will collaborate with engineers, data scientists, and commercial leads to solve critical client challenges.
Key responsibilities include:
- Building and deploying production-grade ML software, tools, and infrastructure
- Creating reusable, scalable solutions to accelerate ML system delivery
- Collaborating with cross-functional teams to solve client challenges
- Leading technical scoping and architectural decisions
- Defining and implementing standards for deploying machine learning at scale
- Acting as a technical advisor to customers and partners
The ideal candidate will have experience in the full machine learning lifecycle, operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch. Strong Python skills, software engineering best practices, and hands-on experience with cloud platforms and infrastructure are also required.
In return, Faculty offers a range of benefits, including the opportunity to work on impactful projects, flexible working arrangements, and a collaborative team environment.