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Lead Machine Learning Engineer (Safety)

Faculty· Engineering
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Hybrid (London)Full-timePosted 4d ago

About the role

Lead ML Engineer responsible for technical strategy, architecture, and deployment of secure AI systems in high-stakes domains, partnering with Frontier Labs to advance safety evaluation, governance, and scalable ML infrastructure.

Responsibilities

  • Steering technical strategy, system architecture, and rigorous capability testing for complex ML systems and Frontier AI models
  • Architecting production-grade, secure ML software, orchestration tools, and scalable cloud infrastructure
  • Establishing company-wide standards and best practices for safe, reliable, and ethical machine learning deployment at scale
  • Collaborating with cross-functional teams and executive stakeholders to translate high-impact client needs into resilient AI solutions
  • Advising senior clients and partners as a trusted AI safety and technical authority, articulating complex strategies clearly
  • Mentoring and developing engineering talent, actively elevating team capabilities and nurturing an inclusive, high-performing culture
  • Partnering with Frontier Labs to advance safety evaluation procedures, multi-agent harness tooling, and robust AI governance frameworks

Qualifications

  • Significant leadership experience designing, deploying, and securing scalable LLM applications, multi-agent frameworks, and AI safety evaluation processes
  • Exceptional software engineering fundamentals and advanced Python expertise for enterprise-ready systems
  • Hands-on experience with cloud platforms (AWS, Azure, GCP), scalable cloud architectures, container orchestration (Docker, Kubernetes), agent sandboxing, and end-to-end cybersecurity
  • Mastery over the full ML lifecycle with proven expertise operationalising production systems using PyTorch, TensorFlow, or similar frameworks
  • Ability to thrive in fast-paced, high-growth environments with autonomy and strategic ownership
  • Strong communication skills to translate complex technical risks into clear strategic direction with technical and non-technical stakeholders

Skills

Required:Leadership in ML engineeringPythonCloud platformsContainer orchestrationML lifecycle & productionSafety evaluation & governance
Last updated Oct 21, 2026. Interested? Apply on the company site.
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