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- Tasks: Develop and implement machine learning solutions for real-world challenges in national security.
- Company: Dynamic technology firm in the UK with a focus on innovation.
- Benefits: Hybrid working options, great benefits, and a supportive environment.
- Why this job: Make a real impact on national security while growing your professional skills.
- Qualifications: Relevant STEM degree and familiarity with machine learning libraries.
- Other info: Join a multidisciplinary team and enjoy excellent career growth opportunities.
The predicted salary is between 28800 - 48000 £ per year.
A technology firm in the UK is seeking a Graduate Machine Learning Engineer to join their multidisciplinary team. In this role, you will develop and implement machine learning solutions for real-world challenges, contributing to national security systems. The position offers hybrid working options and focuses on professional growth.
Candidates should hold a relevant STEM degree and be familiar with machine learning libraries. Great benefits and a supportive environment await successful applicants.
Graduate ML Engineer - AI for Defense & Security (Hybrid) in Oxford employer: Mind Foundry
Contact Detail:
Mind Foundry Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate ML Engineer - AI for Defense & Security (Hybrid) in Oxford
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and machine learning space on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repository or a personal website, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and algorithms. Practice coding challenges and be ready to discuss how you've applied your knowledge in real-world scenarios. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We have 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 - AI for Defense & Security (Hybrid) in Oxford
Some tips for your application 🫡
Show Off Your STEM Skills: Make sure to highlight your relevant STEM degree in your application. We want to see how your academic background aligns with the role, so don’t be shy about showcasing your knowledge of machine learning libraries!
Tailor Your Application: Take a moment to customise your application for this specific role. We love seeing candidates who understand our mission in AI for Defence & Security, so connect your experiences to the challenges we tackle.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary. Let us see your passion without wading through fluff!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Mind Foundry
✨Know Your ML Libraries
Make sure you brush up on the machine learning libraries mentioned in the job description. Be ready to discuss your experience with them and how you've used them in past projects. This shows you're not just familiar but also capable of applying your knowledge.
✨Understand the Defence Sector
Since this role focuses on national security systems, do a bit of research on how machine learning is applied in defence and security. Being able to discuss relevant applications or current trends will impress your interviewers and show your genuine interest in the field.
✨Prepare for Technical Questions
Expect some technical questions during your interview. Practice explaining complex concepts in simple terms, as you might need to demonstrate your understanding of algorithms or data processing techniques. Mock interviews can be a great way to prepare for this.
✨Show Your Growth Mindset
This position emphasises professional growth, so be ready to talk about how you’ve developed your skills and what you’re looking to learn next. Share specific examples of challenges you've faced and how you overcame them, highlighting your adaptability and eagerness to grow.
