Machine Learning Engineer – Senior to Principal

London | 2 days on-site | £70,000–£190,000

We’re working with a rapidly growing AI organisation building production-grade machine learning systems for high-impact clients across national security, government, and AI safety.

This is a hands-on ML engineering role for people who want to take models from research and experimentation through to production, working on technically challenging problems where AI has real-world impact.

You’ll work alongside machine learning engineers, data scientists, and technical teams to design, build, and deploy scalable ML systems - with the autonomy to shape technical approaches and engineering best practice.

What you’ll be doing

• Build and deploy production-grade machine learning models, systems, and infrastructure.
• Take ML solutions through the full lifecycle, from experimentation and prototyping through to deployment, monitoring, and iteration.
• Work with frameworks such as PyTorch, TensorFlow, and Scikit-learn.
• Develop scalable ML pipelines, tooling, and reusable components that accelerate the delivery of AI systems.
• Make architectural and technical decisions around ML systems, infrastructure, and deployment.
• Work closely with data scientists and engineers to turn research and models into reliable production systems.
• Apply strong software engineering practices to machine learning codebases and infrastructure.
• Help define best practices for deploying and operating ML at scale.
• Work directly with clients, translating complex ML concepts into practical technical solutions.
• At senior levels, provide technical leadership and help shape ML engineering approaches across projects.