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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 growing your technical skills.
- Qualifications: Relevant STEM degree and familiarity with machine learning libraries.
- Other info: Join a dynamic team and tackle challenging problems in a supportive environment.
The predicted salary is between 28800 - 48000 £ 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 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
✨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 knowledge. Practice coding challenges and be ready to discuss your projects. We recommend using platforms like GitHub to showcase your work!
✨Tip Number 3
Don’t underestimate the power of a good follow-up! After an interview, send a thank-you email expressing your appreciation for the opportunity. It shows professionalism and keeps you fresh in their minds.
✨Tip Number 4
Apply through our website! We’re always on the lookout for fresh talent, and applying directly can give you an edge. Plus, it’s a great way to show your enthusiasm for joining our innovative team.
We think you need these skills to ace Graduate ML Engineer — Hybrid, Real‑World Defence AI
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 excited about the Graduate ML Engineer position and how you can contribute to our team. We love seeing genuine enthusiasm for AI and Defence!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenging problems in the past. Whether it's through academic projects or personal initiatives, we want to know how you approach complex issues, especially in the context of Defence and National Security.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy to do!
How to prepare for a job interview at Mind Foundry Ltd
✨Know Your ML Basics
Brush up on your machine learning fundamentals before the interview. 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 National 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. Inquire 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 Your Teamwork Skills
Since this role involves working in a multidisciplinary team, be ready to discuss your experiences collaborating with others. Share examples of how you’ve contributed to team success and how you handle differing opinions or challenges.
