Senior Software Engineer (Safety)

UK - London💼 Full-time🗓 2026-10-02 → 2026-10-07

Core

Lead development and deployment of cutting-edge, production-grade AI systems and infrastructure for national security and high-stakes clients.

Role type

Senior IC machine-learning engineer (AI safety & infrastructure) (via careerplan.io/jobs/83c4f2b9-b323-4b00-85dc-f46a6d0e5672-senior-software-engineer-safety-at-faculty)

Builds

Scalable ML software, tools, and infrastructure for AI safety and national security missions

Domain

National security, AI safety, and responsible AI deployment

Deliverable

production ML models

Required skills

LLM application development, multi-agent harness tooling, AI safety evaluation, full ML lifecycle operationalization, Python, cloud architecture, container orchestration

Preferred skills

TensorFlow, PyTorch, AWS/Azure/GCP, Docker, Kubernetes

Responsibilities

Lead technical scoping and architectural decisions for high-impact ML systems; Design and build production-grade ML software and scalable infrastructure; Define and implement best practices for deploying ML at scale; Collaborate with cross-functional teams to solve critical client challenges; Act as a trusted technical advisor to customers; Mentor and develop junior engineers

Seniority

Senior, hands-on IC with mentorship responsibilities

About Faculty

Faculty is one of the world's leading applied AI companies, helping many of the organisations that shape our world to adopt AI successfully and safely. We play an important role in the emerging AI safety ecosystem. We already have many of the key Frontier Labs as clients, including Open AI and Anthropic, for whom we provide third-party red teaming, technical testing and other AI safety services. And we work with the UK government and other international governments on AI safety, including helping set up the AI Security Institute and delivering technical work which catalysed the first global AI