Description
As a Senior Machine Learning Engineer at Faculty, you'll lead development and deployment of cutting-edge AI systems for diverse clients.
Faculty is a company that has worked with over 350 global customers to transform their performance through human-centric AI since its establishment in 2014.
The Defence team at Faculty focuses on building and embedding human-centered AI solutions to give the nation a competitive edge in the defence sector.
About the Role
You'll design, build, and deploy scalable, production-grade ML software and infrastructure that meets rigorous operational and ethical standards.
Responsibilities
- Lead technical scoping and architectural decisions for high-impact ML systems
- Design and build production-grade ML software, tools, and scalable infrastructure
- Define and implement best practices and standards for deploying machine learning at scale across the business
- Collaborate with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities
- Act as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies
- Mentor and develop junior engineers, actively shaping the team's engineering culture and technical depth
Requirements
- Understand the full ML lifecycle and have significant experience operationalising models built with frameworks like TensorFlow or PyTorch
- Bring deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems
- Have demonstrable hands-on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure
- Extensive experience working with container and orchestration tools such as Docker & Kubernetes to build and manage applications at scale
- Thrive in fast-paced, high-growth environments, demonstrating ownership and autonomy in driving projects to completion
- Communicate exceptionally well, confidently guiding both technical teams and senior, non-technical stakeholders