Graduate Machine Learning Engineer

Oxford / Hybrid, England, United Kingdom

We're looking for a Graduate Machine Learning Engineer to join our supportive, multidisciplinary team and contribute to the development and application of machine learning solutions for our clients and products. You will help explore, prototype, and implement AI/ML approaches to problems both within and outside our core product offering. Working at the forefront of AI and ML alongside experts in a range of disciplines, you'll help users defend against Defence & National Security threats and directly contribute to safer, more resilient systems in the real world.

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. Work is challenging, customers need products and applications they can trust, and the sense of achievement is substantial.

This role provides an excellent opportunity to develop your technical skills, apply academic knowledge in a real-world commercial environment and gain exposure to client-facing work.

The role can be office-based or hybrid; you are expected to work from our Summertown, Oxford office at least one day per week and travel to client sites and partner locations as needed.

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• Work closely with colleagues across Science and Engineering, and Product teams to develop, test and implement ML algorithms that solve complex, real-world problems efficiently and at scale.
  
• Apply established machine learning techniques and libraries to real-world datasets, with support and mentorship from senior team members.
  
• Follow best practices in scientific experimentation, validation, and documentation.
  
• Contribute to technical documentation, internal notes, and project reports.
  
• Attend client meetings to understand customer needs and how solutions are delivered.
  
• Take part in knowledge sharing, training, and professional development activities, including attending relevant events or conferences to stay current with emerging ML technologies and techniques and support innovation within the team.
  

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• A degree (or expected degree) in Computer Science, Applied Mathematics, Statistics, Physics, or a related STEM field.
  
• Familiarity with modern machine learning libraries (e.g. PyTorch or TensorFlow) through coursework, projects, internships or extra-curricular activity.
  
• Experience programming in Python in an academic or project-based context.
  
• An interest in building practical systems that help users understand and benefit from machine learning models.
  
• A strong foundation in scientific thinking, with an appreciation for experimental rigor and validation.
  
• A willingness to learn, ask questions, and work collaboratively as part of a team.
  
• An interest in working alongside our clients to understand and solve their complex problems.
  

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• Exposure to working with larger datasets and basic data engineering concepts.
  
• Awareness of Agile or iterative development approaches.
  
• Experience with additional programming languages (e.g. Java, JavaScript/TypeScript).
  
• The ability to explain technical ideas clearly, with guidance, to both technical and non-technical audiences.
  

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.

Competitive compensation package and benefits include:

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• Hybrid working (some roles may require full-time onsite attendance).
  
• Flexible hours.
  
• Professional and personal development.
  
• 25 days of annual leave (plus Bank Holidays and a company-wide break over Christmas).
  
• Salary Sacrifice Pension scheme with a 5% employer contribution (minimum 5% employee contribution).
  
• Private Healthcare (including dental and optical cover).
  
• Group Life Cover at three times your annual salary once you pass your probation period.
  
• Enhanced Parental and Sickness Leave.
  
• Home Office Setup Allowance.
  
• Workplace Nursery Scheme.
  
• Pet-friendly office.
  

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

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 of our requirements, we still encourage you to apply.