AI Research Engineer: Build Practical ML Systems in London

AI Research Engineer: Build Practical ML Systems in London

London Full-Time 36000 - 60000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Implement machine learning algorithms and build prototypes to advance AI technology.
  • Company: Global tech company dedicated to innovation in AI.
  • Benefits: Competitive pay, professional development, and mentorship opportunities.
  • Other info: Exciting environment with great potential for career growth.
  • Why this job: Join a team pushing the boundaries of AI and make a real difference.
  • Qualifications: Experience in AI and programming skills in Python or C++.

The predicted salary is between 36000 - 60000 £ per year.

A global technology company is seeking a Research Engineer focused on advancing AI through practical systems.

Responsibilities include:

  • Implementing machine learning algorithms
  • Building prototypes
  • Collaborating with researchers

Ideal candidates have experience in AI and programming in Python or C++.

A competitive compensation package is offered, with opportunities for professional development and mentorship.

AI Research Engineer: Build Practical ML Systems in London employer: MediaTek

MediaTek is an exceptional employer that fosters a collaborative and innovative work culture in Cambourne, England. With a strong focus on employee growth, you will have access to cutting-edge projects that allow you to shape the future of GPU technologies while working alongside talented professionals. The company offers competitive benefits and a dynamic environment that encourages creativity and professional development.

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Contact Details:

MediaTek Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Research Engineer: Build Practical ML Systems in London

Tip Number 1

Network like a pro! Reach out to people in the AI field on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your machine learning projects. This could be anything from prototypes to research papers. It’s a great way to demonstrate your expertise and passion for AI.

Tip Number 3

Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python or C++, and think about how you can apply your knowledge to practical ML systems.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities, 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 AI Research Engineer: Build Practical ML Systems in London

Machine Learning Algorithms
Prototyping
Collaboration
AI Experience
Python Programming
C++ Programming
Research Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience in AI and programming, especially in Python or C++. We want to see how your skills align with the role of an AI Research Engineer.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for advancing AI and practical ML systems. Let us know why you’re excited about this opportunity and how you can contribute to our team.

Showcase Your Projects:If you've built prototypes or implemented machine learning algorithms, don’t hold back! Include links or descriptions of your projects. We love seeing real-world applications of your skills.

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 the role. Plus, it’s super easy!

How to prepare for a job interview at MediaTek

Know Your Algorithms

Brush up on the machine learning algorithms relevant to the role. Be prepared to discuss how you've implemented them in past projects, and think about practical examples where you've solved real-world problems using these techniques.

Showcase Your Prototyping Skills

Bring along examples of prototypes or projects you've built. Whether it's a GitHub repository or a demo, having tangible evidence of your work will impress the interviewers and show your hands-on experience.

Collaborate Like a Pro

Since collaboration is key in this role, be ready to share experiences where you've worked with others on AI projects. Highlight your communication skills and how you’ve contributed to team success, as this will resonate well with the company's focus on teamwork.

Prepare for Technical Questions

Expect technical questions that test your programming skills in Python or C++. Practice coding challenges beforehand, and be ready to explain your thought process clearly. This will demonstrate not only your technical ability but also your problem-solving approach.