Senior ML Engineer (DV Clearable) – Lead Production AI

Sanderson Government and Defence; Greater London; Hybrid; GBP 75,000 - 95,000; Full time

Job summary

Mind Foundry is seeking a Senior Machine Learning Engineer to lead on-site engagements and translate customer problems into production-ready AI/ML solutions. You will prototype, deploy, and own ML work from concept to live operation, collaborating with PMs, ML scientists, and software engineers.

The role requires DV-clearable status, strong Python and MLOps experience, and a track record of mentoring engineers. Hybrid work in London or Cheltenham is offered.

Qualifications

• A degree in Computer Science or related STEM field or equivalent practical experience.
• Strong Python programming with clean, tested code and long-term ownership.
• Hands-on production infra experience: Docker, Linux, CI/CD, MLOps, cloud platforms.
• Experience with state-of-the-art ML libraries and customer-facing delivery.
• Excellent problem solving in ambiguous, fast-moving environments.

Responsibilities

• Lead scoping and architectural decisions for production ML solutions.
• Design and build prototypes and production-ready ML systems.
• Collaborate with product managers, ML scientists, and software engineers.
• Maintain knowledge of state-of-the-art ML methods and tooling.
• Write maintainable code and promote best practices in a scientific codebase.
• Mentor junior ML engineers and provide customer training on Mind Foundry products.

Skills

Python programming

Problem solving

Mentoring juniors

Stakeholder communication

Education

Bachelor's degree in CS / related STEM

Tools

Docker

Linux

CI/CD

MLOps

Cloud platforms

Model serving architectures

NLP/LLMs

Spark / Kafka

Job description

Mind Foundry is seeking a Senior Machine Learning Engineer to lead on-site engagements and translate customer problems into production-ready AI/ML solutions. You will prototype, deploy, and own ML work from concept to live operation, collaborating with PMs, ML scientists, and software engineers.

The role requires DV-clearable status, strong Python and MLOps experience, and a track record of mentoring engineers. Hybrid work in London or Cheltenham is offered.