Machine Learning Engineer

Were looking for a Machine Learning Engineer to join a supportive multidisciplinary team developing AI/ML systems to solve critical Defence and National Security this role youll develop robust production-ready machine learning solutions - taking ideas from early exploration and prototyping through to systems that can operate in complex operational environments. Working alongside specialists across science engineering product and delivery youll play a key role in turning advanced ML into trusted capability that supports better decisions where they matter most.

Mind Foundry is at an exciting stage of growth with increasing demand for AI-enabled capability across our markets. We specialise in helping customers make sense of the ever-increasing volumes of data collected by sensors platforms and systems at the speed of relevance. We often find ourselves working at the edge in complex environments where power compute and bandwidth are in short supply. As a Machine Learning Engineer youll work on problems that are technically challenging operationally important and genuinely meaningful. You will help turn advanced AI and ML approaches into deployable capability that can support better faster decision-making in demanding real-world environments. What makes the work distinctive is the combination of technical depth practical engineering and responsible delivery. 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.

Because of the nature of this work:

• You will be required to travel to and work from client sites and partner locations. When not working onsite this role can be office-based or hybrid from our Summertown Oxford office.
• You will need toholdexistingorbe eligible for UK Security Vetting (SC) details of which can be found on theGov UKwebsite.

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 were 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.

Why Mind Foundry

At Mind Foundry people have the opportunity to work on problems that are technically challenging operationally important and genuinely meaningful. We are a close-knit multidisciplinary team working on complex problems where advanced AI has the potential to make a meaningful difference in the real world. Our work sits at the intersection of research engineering product customer need and operational impact which means everyone can contribute beyond their job title.

What makes Mind Foundry different is the way we combine technical excellence with pragmatism responsibility and partnership. We are ambitious about what AI can achieve but thoughtful about how it should be designed deployed and trusted. Our teams work closely together challenging ideas constructively learning quickly and staying focused on building capability that is useful credible and operationally relevant. As a growing business we offer the opportunity to have visible impact. You will be close to the customers the technology and the decisions that shape our direction. We value people who ask good questions bring others with them and take ownership.

This is an exciting time to join Mind Foundry. Demand for trusted deployable AI capability is increasing our products and partnerships are maturing and our work is helping to shape how advanced machine learning can support Defence and National Security in challenging operational environments. If you are motivated by meaningful work collaborative teams and the chance to help build something with real-world importance Mind Foundry is a place where you can make a genuine contribution.

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.

Youllenjoy a competitive compensation package and great benefits suchas:

• 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 at three times your annual salary
• Enhanced Parental and Sickness Leave
• Workplace Nursery Scheme
• Volunteering days
• Pet friendly office
• Professional and personal development

For more information please visit our website email

Interview Process:

• Initialdiscussion with the People team

• TestDomecoding exercise

• 60 minuteinterview with two members of the Science & Engineering Team

• 90 minutetechnical interview including a10 minutepresentation and live coding exercise

• In person meet the team at our Summertown Oxfordoffice