Senior Machine Learning Engineer

LondonFull-time2026-10-22 → 2026-10-23

Core

Lead development and deployment of cutting-edge AI systems for diverse clients in energy, finance, government, and other sectors.

Role type

Senior Machine Learning Engineer (Production & Infrastructure)

Builds

Scalable, production-grade ML software, tools, and infrastructure

Domain

Clean energy transition, utility companies, and responsible AI deployment

Deliverable

production ML models

Required skills

Full ML lifecycle expertise, TensorFlow/PyTorch, Python, Cloud platforms (AWS/Azure/GCP), Docker, Kubernetes

Preferred skills

Architectural decision-making, client-facing advisory, mentoring engineers

Technologies

TensorFlow, PyTorch, Python, 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 client challenges; Act as a trusted technical advisor to customers; Mentor and develop junior engineers

Seniority

Senior, hands-on IC with leadership 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