Senior Machine Learning Engineer National Security

Location:Londonor Gloucestershire

Werelooking for aSenior Machine Learning Engineerto join a supportive multidisciplinary team developing AI/ML systems to solvecritical National aSenior Machine Learning Engineeryoullleadonsiteengagementswith clients and stakeholdersto translate their problems into robust production-ready machine learning explore prototype and deploy ML approaches both within and beyond our corecapabilityofferings taking ownership 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 need to hold existing or be eligible for UK Developed Vetting (DV) details of which can be found on theGov UK website.

• Be expected to work primarily on our clients sites in London or Gloucestershire please consider your commute when applying.

Key day-to-day activities:

• Lead technical scoping and make key architectural decisions to enable deliveryofprofessional-levelML solutions.

• Design and build prototypes androbustproduction-readyMLsolutions.

• Work collaboratively with colleagues across the team (Product Managers Machine Learning Scientists Software Engineers)to solvecriticalNational Securitychallenges.

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

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

• Mentor and develop junior Machine LearningEngineers.

• Provide advice and explain core ML concepts to our customers and partners.

• Provide trainingto our customersand partnersonMind Foundry products and solutions.

Core kills & Experience:

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

• Strong engineer withdemonstratedproficiencyin 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.

• Exceptional problem-solving skills andcomfortableworking in ambiguous fast-moving environments embedded with customers or delivery teams.

• Hold existingDeveloped Vetting (DV) levelclearance or willing and eligible toobtainandmaintainUK security clearance to Developed Vetting (DV) level.

Nice to Have:

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

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

• Experience withNatural Language Processing (NLP)Large Language Models (LLMs)or Image Processing.

• Experiencein areas ofmodel developmentdataprocessingand streaming (Spark Kafka) microservices in python (Flask orFastAPI)and interactive visualisations and User Interfaces (StreamlitPlotlyGradioetc).

While we think the above experience is importantwerekeen 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 meetallour 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 toolstimeand 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 such as:

• 25 days of annual leave plus Bank Holidays

• Salary Sacrifice Pension scheme with a 5% employer contribution (minimum5% employee contribution)

• Private Healthcare (including dental and optical cover)

• Group Life Cover atx3your annual salary once you pass your probation period

• EnhancedPaidParental and Sickness Leave

• Workplace Nursery Scheme

• Petfriendly office

• Professional and personal development

For more information please visit our websiteor email

Interview Process:

• Initialdiscussion with the People team

• TestDomecoding exercise

• 1 hour interview with two members of the Science & Engineering Team

• 1 hourtechnical interview including a10-minutepresentation and live coding exercise

• In person meet the team at ourSummertown Oxfordoffice