Description
Faculty is seeking a Machine Learning Engineer to join its National Security and AI Safety business unit. The successful candidate will deliver bespoke AI solutions for clients, contribute to scalable software architecture, and define best practices.
The team works at the frontier of high-stakes, high-impact missions, advancing the responsible development and deployment of AI in support of national security and global stability.
Key responsibilities include:
- Building and deploying production-grade ML software, tools, and infrastructure
- Creating reusable, scalable solutions that accelerate the delivery of ML systems
- Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges
- Leading technical scoping and architectural decisions to ensure project feasibility and impact
- Defining and implementing Faculty's standards for deploying machine learning at scale
- Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders
The ideal candidate will have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch, strong Python skills, and hands-on experience with cloud platforms and infrastructure.
Faculty offers a range of benefits, including the opportunity to work on high-impact projects, collaborate with talented professionals, and contribute to the development of responsible AI.