Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop machine learning solutions for real-world Defence and National Security challenges.
- Company: Pioneering AI solutions company based in Oxford with a multidisciplinary team.
- Benefits: Hybrid working environment, mentorship from industry experts, and skill development.
- Why this job: Make a real impact in Defence while growing your technical skills.
- Qualifications: Relevant STEM degree and familiarity with machine learning libraries.
- Other info: Join a dynamic team and kickstart your career in AI.
The predicted salary is between 30000 - 42000 £ per year.
A pioneering AI solutions company in Oxford is seeking a Graduate Machine Learning Engineer to join their multidisciplinary team. You will contribute to developing machine learning solutions for challenging problems in Defence and National Security. This role offers the unique opportunity to develop technical skills in a hybrid working environment, working alongside industry experts and receiving mentorship. The ideal candidate will possess a relevant STEM degree and familiarity with machine learning libraries.
Graduate ML Engineer — Hybrid, Real‑World Defence AI in Oxford employer: Mind Foundry Ltd
Contact Detail:
Mind Foundry Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate ML Engineer — Hybrid, Real‑World Defence AI in Oxford
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and Defence sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show your passion for machine learning.
✨Tip Number 2
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your projects. Practise common ML interview questions and think about how you can apply your knowledge to real-world defence problems.
✨Tip Number 3
Showcase your work! Create a portfolio of your machine learning projects, especially those that relate to defence or security. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you a better chance of standing out. Plus, it’s super easy!
We think you need these skills to ace Graduate ML Engineer — Hybrid, Real‑World Defence AI in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant STEM degree and any experience with machine learning libraries. We want to see how your skills align with the role, so don’t be shy about showcasing your projects or coursework!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in Defence and National Security. We love seeing enthusiasm, so let us know what excites you about this field and how you can contribute.
Showcase Your Problem-Solving Skills: In your application, highlight any experiences where you tackled challenging problems, especially those related to machine learning. We’re looking for candidates who can think critically and creatively, so share those stories with us!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Mind Foundry Ltd
✨Know Your ML Libraries
Make sure you brush up on the machine learning libraries mentioned in the job description. Familiarity with tools like TensorFlow or PyTorch can really set you apart. Be ready to discuss how you've used these in your projects or studies.
✨Understand Defence Applications
Since this role focuses on Defence and National Security, do some research on how machine learning is applied in these areas. Being able to discuss relevant case studies or current trends will show your genuine interest and understanding of the field.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving skills and knowledge of algorithms. Practise coding problems and be prepared to explain your thought process clearly. This will demonstrate your analytical skills and ability to tackle real-world challenges.
✨Show Enthusiasm for Learning
This position offers mentorship, so express your eagerness to learn from industry experts. Share examples of how you've sought out learning opportunities in the past, whether through projects, courses, or self-study. This will highlight your proactive attitude and fit for a hybrid working environment.
