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- 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 enhancing your technical skills.
- Qualifications: Relevant STEM degree and familiarity with machine learning libraries.
- Other info: Join a dynamic team and grow your career in an innovative field.
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 technical interviews by brushing up on your machine learning concepts and coding skills. Use platforms like LeetCode or HackerRank to practice common interview questions that might come up in your field.
✨Tip Number 3
Showcase your projects! If you've worked on any machine learning projects, make sure to have them ready to discuss. Whether it's a personal project or part of your studies, being able to talk about your hands-on experience can really set you apart.
✨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 an edge. Plus, it’s super easy to keep track of your applications!
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!
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 Basics
Brush up on your machine learning fundamentals. Be ready to discuss key concepts, algorithms, and libraries like TensorFlow or PyTorch. This will show your passion and understanding of the field.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on, especially those related to defence or security. Highlight your role, the challenges you faced, and how you overcame them. Real-world examples can make a big impact!
✨Ask Insightful Questions
Come prepared with questions that demonstrate your interest in the company and the role. Ask about their current projects, team dynamics, or how they approach problem-solving in defence AI. This shows you're engaged and eager to learn.
✨Emphasise Teamwork and Adaptability
Since this role involves working in a multidisciplinary team, be ready to discuss your experiences collaborating with others. Share examples of how you've adapted to different working styles or tackled group challenges.
