Senior ML Engineer - Defence AI, Onsite London

Mind Foundry; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

EMI options

25 days leave

Pension scheme

Private healthcare

Group Life Cover

Parental leave

Nursery scheme

Volunteering Days

Dog-friendly office

Job summary

Mind Foundry is seeking a Senior Machine Learning Engineer to lead onsite engagements with clients, translating problems into production-ready ML solutions. You will prototype, deploy, and own solutions from concept to live operation, working alongside experts to tackle National Security challenges.

The role requires strong Python, ML library skills, experience with Docker/Linux/CI/CD, and DV clearance eligibility. Onsite work at client sites in London is expected.

Qualifications

• A STEM degree or equivalent practical experience.
• Strong engineering mindset with clean, well-documented code.
• Hands-on with production infrastructure: Docker, Linux, CI/CD, MLOps, cloud platforms, model serving.
• Proficiency with state-of-the-art ML libraries.
• Excellent problem-solving in fast-moving, ambiguous environments.
• DV level clearance or eligibility for UK DV clearance.

Responsibilities

• Lead technical scoping and key architectural decisions for ML delivery.
• Design and build prototypes and production-ready ML solutions.
• Collaborate with Product Managers, ML Scientists, and Software Engineers to tackle National Security challenges.
• Maintain knowledge of state-of-the-art ML methods and tools.
• Write maintainable production code and promote best practices in a scientific codebase.
• Mentor and develop junior ML Engineers.
• Advise customers and partners on core ML concepts.
• Provide training on Mind Foundry products and solutions.

Skills

Python programming

ML deployment

Software engineering

Stakeholder communication

Education

Degree in CS/Math/Stats or related

Tools

Docker

Linux

CI/CD

MLOps

Cloud platforms

Model serving

Job description

Mind Foundry is seeking a Senior Machine Learning Engineer to lead onsite engagements with clients, translating problems into production-ready ML solutions. You will prototype, deploy, and own solutions from concept to live operation, working alongside experts to tackle National Security challenges.

The role requires strong Python, ML library skills, experience with Docker/Linux/CI/CD, and DV clearance eligibility. Onsite work at client sites in London is expected.