Graduate Machine Learning Engineer

Were 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 expertsin a range of disciplines youll help users defend against Defence & National Security threats and directly contribute to safer more resilient systems in the real world.

MindFoundry works on some of the most complexand urgentchallenges in Defence and National Security.We specialise in supporting customers across the community to make sense at the speed of relevancefrom theever-increasingvolumes of data collected by sensorsand 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 customerneeds products and applications they can trustand the sense of achievementis thereforesubstantial.

This roleprovidesan excellent opportunity to develop your technical skillsapply academic knowledge in a real-world commercial environmentandgain exposure to client-facingwork.

This role can be office-based or hybrid with you expected to work from our Summertown Oxford office at least one day per week. You will be required to travel to client sites and work at partner locations as needed.

You should be willing and eligible to apply for and obtain UK security clearance if you do not hold an existing clearance.

Areas of Impact

• Work closely with colleagues acrossScienceand Engineering and Productteams to help developtestand implementML 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 whereappropriatetostay current with emerging ML technologies and techniques andsupport innovation within the team

Core Skills & Experience

• A degree (or expected degree) in Computer Science Applied Mathematics Statistics Physics or a relatedSTEMfield

• Familiarity with modern machine learning libraries ( TensorFlow) through coursework projectsinternshipsor 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 foundationin scientific thinking with an appreciation for experimental rigour and validation

• A willingness to learn ask questions and work collaboratively as part of a team

• An interest inworking alongsideour clients tounderstandand solvetheircomplexproblems

Desirable:

• Exposure to working with larger datasets and basic data engineering concepts

• Awareness of Agile or iterative development approaches

• Experience withadditionalprogramming languages (e.g. Java JavaScript/TypeScript)

• The ability to explain technical ideas clearly with guidance to both technical and non-technical audiences

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 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 - A lot of our team bring their dogs to work!

For more information please visit our website or email

While we think the above experience is importantwerekeen to hear from people that believe they have valuableskills ideas or perspectives that will make an impact in this role. Ifourteam and missionresonate with you butyou do not necessarily meetall ofour requirementswe still encourage you to apply.