Lead AI Safety Engineer — Remote (London)

EngRadar

Greater London

Remote

GBP 120,000 - 180,000

Full time

44 hours ago
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Job summary

Faculty is seeking a Lead Software Engineer (Safety) to drive the technical strategy, architecture, and deployment of secure AI systems across high‑stakes domains. You will bridge AI research and production, setting the benchmark for engineering excellence and operationalising scalable ML infrastructure.

Working with Frontier Labs, you will champion practical, safety‑first AI frameworks, model evaluations, and multi‑agent systems, mentoring talent and guiding cross‑functional teams to solve

Qualifications

  • Significant leadership designing, deploying, securing scalable ML/LLM systems.
  • Strong Python and software engineering fundamentals for enterprise-scale apps.
  • Experience with AWS/Azure/GCP, Kubernetes, Docker, and cloud architectures.

Responsibilities

  • Steer technical strategy, architecture, and testing for complex ML systems and AI models.
  • Architect production-grade, secure ML software and cloud infrastructure.
  • Establish company-wide safety standards for scalable ML deployment.

Skills

Leadership
Python
Cloud platforms
Kubernetes
ML lifecycle
Security
AI safety
Client communication

Education

Computer Science degree

Tools

Docker

Job description

Faculty is seeking a Lead Software Engineer (Safety) to drive the technical strategy, architecture, and deployment of secure AI systems across high‑stakes domains. You will bridge AI research and production, setting the benchmark for engineering excellence and operationalising scalable ML infrastructure.

Working with Frontier Labs, you will champion practical, safety‑first AI frameworks, model evaluations, and multi‑agent systems, mentoring talent and guiding cross‑functional teams to solve

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