Machine Learning Engineer - SC (DV Clearable) - Perm

Machine Learning Engineer - (DV Clearable) - Multiple Headcount Location(s): Cheltenham or London Type : 4 days on-site, 1 day at home Salary: £54,000 - £64,000 Clearance : SC (Must be eligible and willing to go through DV Clearance) Must be a sole British National Sanderson Government & Defence are working with a specialist technology company, who are driving cutting edge technical soltutions across a variety of sectors.

We're looking for Machine Learning Engineers to join a supportive, multidisciplinary team developing AI/ML systems to solve critical challenges. As a Machine Learning Engineer, you'll develop robust, production-ready machine learning solutions, exploring, prototyping, and deploying ML approaches from initial concept through to live operation.

Working at the forefront of applied AI alongside experts across multiple disciplines, you'll help users defend against threats, directly contributing to safer, more resilient systems deployed where they matter most. This is an opportunity to innovate at the forefront of applied machine learning, tackle high impact real-world problems, grow your technical skills, and shape the way AI/ML solutions are delivered to critical operational environments.

Key day-to-day activities: Design and build prototypes and robust, production-ready ML solutions. Work collaboratively with colleagues across the Mind Foundry team (Product Managers, Machine Learning Scientists, Software Engineers) to solve critical challenges.

Maintain and develop a good working knowledge of state-of-the-art ML methods, software tools and implementation methods. Write maintainable production code and promote best practices for code quality in a scientific codebase. Provide advice and explain core ML concepts to customers and partners. Core

Skills & Experience

A degree in Computer Science, Applied Mathematics, Statistics, Physics, or a related STEM field (or equivalent practical experience). Demonstrated proficiency in programming languages such as Python, producing clean, reproducible, well-tested, and well-documented code suitable for long-term ownership and handover.

Hands-on experience with production infrastructure, including Docker, Linux, CI/CD, MLOps, cloud platforms, and model serving architectures. Be able to work with state-of-the-art ML libraries to deliver powerful results quickly.

Comfortable working in ambiguous, fast-moving environments, Embedded with customers or delivery teams.

Nice to Have

Ability to write technical material (documentation, published papers, internal technical notes etc). Experience with Natural Language...

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