Machine Learning Engineer

UK - London💼 Full-time🗓 2026-09-28 → 2026-10-07

HybridSecurity clearance required

Core

Build and deploy production-grade machine learning systems and infrastructure for government clients, translating complex ML concepts into scalable software solutions.

Role type

Senior Machine Learning Engineer (Production/Infrastructure)

Builds

Scalable ML software, tools, and infrastructure for public sector clients

Domain

Government / Public Services / AI

Deliverable

production ML models

Required skills

Python, Scikit-learn, TensorFlow, PyTorch, Cloud platforms (AWS/Azure/GCP), Docker, Kubernetes, Software engineering best practices, Probability, Statistics

Preferred skills

Technical scoping, Architectural decision making, Client advisory

Technologies

AWS, Azure, GCP, Docker, Kubernetes, Scikit-learn, TensorFlow, PyTorch

Responsibilities

Build and deploy production-grade ML software and infrastructure; Create reusable, scalable solutions; Collaborate with cross-functional teams to solve client challenges; Lead technical scoping and architectural decisions; Define standards for deploying ML at scale; Act as a technical advisor to customers and partners (via careerplan.io/jobs/e7ec5a17-5a8a-4056-8e40-d7ee1d84258b-machine-learning-engineer-at-faculty)

Seniority

Senior, hands-on IC

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