Lead AI Research Engineer - Drive ML Innovation
Lead AI Research Engineer - Drive ML Innovation

Lead AI Research Engineer - Drive ML Innovation

Full-Time 60000 - 80000 £ / year (est.) No home office possible
MediaTek

At a Glance

  • Tasks: Lead AI and machine learning projects, optimise algorithms, and mentor junior engineers.
  • Company: Leading tech company in Cambourne with a focus on innovation.
  • Benefits: Competitive salary package and opportunities for professional growth.
  • Other info: Join a dynamic team and shape the future of AI technology.
  • Why this job: Drive ML innovation and make a significant impact in the tech industry.
  • Qualifications: Extensive experience in machine learning, programming skills, and strong leadership abilities.

The predicted salary is between 60000 - 80000 £ per year.

A leading technology company in Cambourne is seeking a Senior Research Engineer to lead projects in AI and machine learning.

Responsibilities include:

  • Optimizing algorithms
  • Mentoring junior engineers
  • Aligning engineering work with ambitious research goals

The ideal candidate must have:

  • Extensive experience in machine learning
  • Proficiency in programming
  • Strong leadership skills

A competitive package is available. Closing date for applications is May 1, 2026.

Lead AI Research Engineer - Drive ML Innovation employer: MediaTek

As a leading technology company based in Cambourne, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our employees benefit from competitive packages, extensive professional development opportunities, and the chance to work on cutting-edge AI projects that make a real impact. Join us to be part of a forward-thinking team where your contributions are valued and your career can thrive.
MediaTek

Contact Detail:

MediaTek Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead AI Research Engineer - Drive ML Innovation

✨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 show off your expertise.

✨Tip Number 2

Showcase your projects! Create a portfolio that highlights your best work in machine learning. Whether it's optimising algorithms or leading a team, having tangible examples can really set you apart from the competition.

✨Tip Number 3

Prepare for interviews by brushing up on your technical skills and leadership experience. Be ready to discuss how you've mentored others and aligned projects with research goals. Confidence is key!

✨Tip Number 4

Don't forget to apply through our website! We make it easy for you to submit your application and keep track of your progress. Plus, it shows you're genuinely interested in joining our team.

We think you need these skills to ace Lead AI Research Engineer - Drive ML Innovation

Machine Learning
Algorithm Optimization
Programming Proficiency
Leadership Skills
Mentoring
Research Alignment
Project Management
Technical Expertise

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in AI and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing your projects and achievements!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how you can contribute to our ambitious research goals. Keep it engaging and personal – we love to see your personality!

Showcase Leadership Experience: Since this role involves mentoring junior engineers, make sure to highlight any leadership experience you have. We’re looking for someone who can inspire and guide others, so share those stories!

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 don’t miss out on any important updates. Plus, it’s super easy!

How to prepare for a job interview at MediaTek

✨Know Your Algorithms

Make sure you brush up on the latest algorithms in AI and machine learning. Be ready to discuss how you've optimised them in past projects, as this will show your depth of knowledge and practical experience.

✨Showcase Your Leadership Skills

Prepare examples of how you've mentored junior engineers or led a team. This is crucial for the role, so think about specific situations where your leadership made a difference in project outcomes.

✨Align with Their Goals

Research the company’s ambitious research goals and be prepared to discuss how your work aligns with them. This shows that you’re not just looking for any job, but that you’re genuinely interested in contributing to their vision.

✨Practice Coding on the Spot

Since programming proficiency is key, practice coding challenges that you might face during the interview. Being able to demonstrate your skills live can set you apart from other candidates.

Lead AI Research Engineer - Drive ML Innovation
MediaTek

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