Machine Learning Engineer - Edge AI for Defence

Mind Foundry; Oxford; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

EMI options scheme

25 days of annual leave

Salary Sacrifice Pension scheme

Private Healthcare (including dental)

Group Life Cover

Enhanced Parental and Sickness Leave

UK Armed Forces Reservists Policy

Workplace Nursery Scheme

Volunteering Days

Dog-friendly office

Job summary

Mind Foundry, Oxford-based, is seeking a Machine Learning Engineer to design and build production-ready ML solutions for defence and national security. You will translate research into robust systems operating in demanding environments and collaborate with scientists, software engineers, product managers and partners.

You’ll work with real-world data, deploy scalable pipelines, and contribute to edge-enabled capabilities while maintaining quality, testing, and clear documentation.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

communication

problem solving

fast-moving environments

Education

Bachelor's degree in Computer Science or related STEM

Tools

Docker

Linux

CI/CD

MLOps

cloud platforms

model serving

Spark

Kafka

Flask

FastAPI

Streamlit

Job description

Mind Foundry, Oxford-based, is seeking a Machine Learning Engineer to design and build production-ready ML solutions for defence and national security. You will translate research into robust systems operating in demanding environments and collaborate with scientists, software engineers, product managers and partners.

You’ll work with real-world data, deploy scalable pipelines, and contribute to edge-enabled capabilities while maintaining quality, testing, and clear documentation.