Machine Learning Engineer

Werelooking for aMachine Learning Engineer to join a supportive multidisciplinary team developing AI/ML systems to solve critical Defence and National Security this roleyoulldeveloprobust production-ready machine learning solutionsexploring prototyping and deployingML approaches frominitialconcept through to live operation. Working at the forefront of applied AI alongside experts across multiple disciplinesyoullhelp users defend against Defence and National Security threats directly contributing to safer more resilient systems deployed where they matter most.

Mind Foundry works on some of the most complex and urgent challenges in Defence and National Security. We specialise in supporting customers across the community to make sense at the speed of relevance from the ever-increasing volumes of data collected by sensors and systems. We often find ourselves working at the edge in complex environments where power compute and bandwidth are in short supply. The work is challenging the customer needs products and applications they can trust and the sense of achievement is thereforesubstantial.

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 and build prototypes androbustproduction-readyMLsolutions.

• Work collaboratively with colleagues acrosstheMind Foundryteam (Product Managers Machine Learning Scientists Software Engineers)to solvecriticalDefence andNational Securitychallenges.

• Maintain and developagoodworking knowledge ofstate-of-the-artML methods softwaretoolsand implementation methods.

• Write maintainable production code and promote best practices for code quality in a scientific codebase.

• Provide advice andexplain core ML conceptsto our customers and partners.

Core Skills & Experience:

• A degreeinComputer Science Applied Mathematics Statistics Physics or a related STEM field (or equivalent practical experience).

• Demonstratedproficiencyin programming languages such as Python producing clean reproducible well-tested and well-documented code suitable for long-term ownership and handover.

• Hands-on experience with production infrastructure including Docker Linux CI/CDMLOps cloud platforms and model serving architectures.

• Be able to work withstate-of-the-artML libraries to deliver powerful results quickly.

• Comfortableworking in ambiguous fast-moving environments embedded with customers or delivery teams.

• Hold existingUK securityclearance or willing and eligible to apply and obtain UK security clearance.

Nice to Have:

• Prior experience working with government customers defence contractors or in military environments.

• Ability to write technical material (documentation published papers internal technical notes etc).

• Experience in areas of model development dataprocessingand streaming (Spark Kafka) microservices in python (Flask orFastAPI) and interactive visualisations and User Interfaces (StreamlitPlotlyGradioetc).
• Experienceor knowledge ofsignalprocessingdatafusionorAI/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.

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.

Youll enjoy a competitive compensation package and great benefits such as:

• Hybrid working (some roles may require full time onsite attendance)

• Flexible hours

• Professional and personal development

• 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

• Pet-friendly office!

For more information please visit our website or email

Interview Process:

• Initialdiscussion with the People team

• TestDomecoding exercise

• 1 hour interview 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