Senior Machine Learning Engineer

Stack

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
• ▹Collaborate with engineers, data scientists, product managers, and commercial teams
• ▹Act as a trusted technical advisor to customers and partners
• ▹Mentor and develop junior engineers, shaping the team's engineering culture

Requirements

• ▹Understanding of the full ML lifecycle, with significant experience operationalising models built with TensorFlow or PyTorch
• ▹Deep software engineering expertise and strong Python skills, focused on building robust, reusable systems
• ▹Demonstrable hands-on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure
• ▹Extensive experience with container and orchestration tools such as Docker and Kubernetes
• ▹Thrives in fast-paced, high-growth environments, with ownership and autonomy driving projects to completion
• ▹Exceptional communicator, confidently guiding both technical teams and senior, non-technical stakeholders
• ▹The role may require eligibility for UK Developed Vetting (DV) and occasional on-site work with clients

Soft skills

What we offer

• ▹Unlimited annual leave policy
• ▹Private healthcare and dental
• ▹Enhanced parental leave
• ▹Family-friendly flexibility and flexible working
• ▹Sanctus coaching
• ▹Hybrid working

About the company

Faculty's National Security and AI Safety unit advances responsible AI development and deployment in support of national security and global stability, partnering with government and major tech organisations.