Faculty

Senior Machine Learning Engineer – National Security

Faculty

full-time

Posted on:

Location Type: Hybrid

Location: LondonUnited Kingdom

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Job Level

About the role

  • Leading technical scoping and architectural decisions for high-impact ML systems
  • Designing and building production-grade ML software, tools, and scalable infrastructure
  • Defining and implementing best practices and standards for deploying machine learning at scale across the business
  • Collaborating with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities
  • Acting as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies
  • Mentoring and developing junior engineers, actively shaping our team's engineering culture and technical depth

Requirements

  • You understand the full ML lifecycle and have significant experience operationalising models built with frameworks like TensorFlow or PyTorch
  • You bring deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems
  • You have demonstrable hands-on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure
  • You've extensive experience working with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale
  • You thrive in fast-paced, high-growth environments, demonstrating ownership and autonomy in driving projects to completion
  • You communicate exceptionally well, confidently guiding both technical teams and senior, non-technical stakeholders.
Benefits
  • Unlimited Annual Leave Policy
  • Private healthcare and dental
  • Enhanced parental leave
  • Family-Friendly Flexibility & Flexible working
  • Sanctus Coaching
  • Hybrid Working
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningML lifecycleTensorFlowPyTorchPythoncloud platformsAWSAzureGCPDocker
Soft Skills
leadershipmentoringcommunicationcollaborationproblem-solvingownershipautonomytechnical advisingteam developmentengineering culture