TL;DR

Senior Machine Learning Engineer (National Security): Leading the development and deployment of cutting-edge AI systems for various clients, with an accent on building scalable, production-grade ML software and infrastructure. Focus on meeting rigorous operational and ethical standards, collaborating with cross-functional teams, and mentoring junior engineers.

Location: Hybrid work in London, with occasional on-site work with clients.

Company

Faculty helps global customers to transform their performance through human-centric AI.

What you will do

  • 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 our team's engineering culture and technical depth.

Requirements

  • Understand the full ML lifecycle and have significant experience operationalizing 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.
  • Have extensive experience working with container and orchestration tools such at 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.

Culture & Benefits

  • Unlimited Annual Leave Policy
  • Private healthcare and dental.
  • Enhanced parental leave.
  • Family-Friendly Flexibility & Flexible working.
  • Sanctus Coaching.
  • Hybrid Working.

Hiring process

  • Talent Team Screen (30 minutes)
  • Pair Programming Interview (90 minutes)
  • System Design Interview (90 minutes)
  • Commercial Interview (60 minutes)