Machine Learning Engineer

Key day-to-day activities

• Design, build and iterate ML prototypes and production-ready capability for complex, real-world Defence and National Security use cases.
• Translate research outputs, experimental approaches and customer problems into maintainable, testable and deployable ML systems.
• Work with real-world data sources, including noisy, incomplete, high-volume or streaming data, to develop approaches that are robust and operationally useful.
•  Collaborate closely with Machine Learning Scientists, Software Engineers, Product Managers and customer-facing teams to shape solutions that are technically credible and user-relevant.
• Write clean, maintainable and well-tested code, contributing to engineering standards, reproducibility and long-term ownership.
• Support evaluation, validation and assurance of ML models, including communicating model behaviour, limitations and trade-offs to technical and non-technical stakeholders.
• Contribute to deployment approaches for constrained or complex environments, including edge settings where compute, power and bandwidth may be limited.
• Provide technical input into bids, demonstrations, customer discussions and partner engagements where required.
• Keep up to date with emerging ML methods, tools and implementation approaches, and share relevant knowledge with the wider team.

Core Skills & Experience

• A degree in Computer Science, Applied Mathematics, Statistics, Physics, or a related STEM field (or equivalent practical experience).
• Strong programming skills in Python, with experience producing clean, reproducible, well-tested and well-documented code.
• Hands-on experience with production infrastructure, which may include Docker, Linux, CI/CD, MLOps, cloud platforms, and model serving architectures.
• Familiarity with modern ML libraries and tooling, with the ability to select pragmatic approaches for real-world problems.
• Comfortable working in ambiguous, fast-moving environments, including alongside delivery teams, partners or customers where required.
• Ability to communicate technical ideas, model behaviour and trade-offs clearly to both technical and non-technical audiences.

Nice to Have

• Prior experience working with government customers, defence contractors, or in military environments.
• Ability to produce clear technical material, such as documentation, internal technical notes, reports or publications.
• Experience in areas of model development, data processing and streaming (Spark, Kafka), microservices in Python (Flask or FastAPI), and interactive visualisations and user interfaces (Streamlit, Plotly, Gradio etc).
• Experience or knowledge of signal processing, data fusion, model evaluation or AI/ML assurance.

While we think the above experience is important, we’re keen to hear from people that believe they have valuable skills, ideas, or perspectives that will make an impact in this role. If our team and mission resonate with you, but you do not necessarily meet all our requirements, we still encourage you to apply.

What do we offer?

We believe in investing in our people by encouraging career and personal development that aligns with your goals and ambitions. We make sure all staff have the tools, time and support they need to shape their own professional development. We want to help you excel at what you do and support your growth within the company.

You’ll enjoy a competitive compensation package and great benefits such as:

• EMI options scheme
• 25 days of annual leave, plus Bank Holidays
• Salary Sacrifice Pension scheme
• Private Healthcare (including dental and optical cover)
• Group Life Cover
• Enhanced Parental and Sickness Leave
• UK Armed Forces Reservists Policy
• Workplace Nursery Scheme
• Volunteering Days
• Dog-friendly office

For more information, please visit our website www.mindfoundry.ai or email [email removed]