Machine Learning Engineer

UK - Remote🌐 Remote💼 Full-time🗓 2025-12-19 → 2026-10-07

Core

Build and deploy production-grade, scalable machine learning systems and infrastructure for high-stakes defence clients.

Role type

Senior Machine Learning Engineer (Defence) (via careerplan.io/jobs/168cb0e1-daea-42d5-ac09-e12a61cf72ca-machine-learning-engineer-at-faculty)

Builds

Production ML software, tools, and scalable infrastructure for government defence sector

Domain

Defence / Government / Cloud Infrastructure

Deliverable

production ML models | infrastructure

Required skills

Python, full ML lifecycle, Scikit-learn, TensorFlow, PyTorch, cloud architecture (AWS/Azure/GCP), Docker, Kubernetes, probability, statistics

Preferred skills

None stated

Technologies

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

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 technical advisor to customers

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