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- Tasks: Lead complex AI research projects and optimise algorithms for impactful outcomes.
- Company: Innovative tech firm focused on AI and semiconductor design.
- Benefits: Competitive salary, mentorship opportunities, and support for professional growth.
- Why this job: Make a real impact in AI while mentoring the next generation of engineers.
- Qualifications: Extensive experience in machine learning and strong programming skills required.
- Other info: Dynamic team environment with opportunities for innovation and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
As a Senior Research Engineer, you are expected to lead engineering efforts on complex research projects that advance both applied and theoretical aspects of AI. This role is ideal for individuals who excel at optimizing algorithms, ensuring scalability, and aligning engineering work with ambitious research goals. Senior Research Engineers play a key role in mentoring junior engineers, driving technical excellence, and contributing to impactful research outcomes.
Our Team Operates In Two Main Directions:
- Applying AI to the design and optimization of semiconductors
- Conducting fundamental research that supports both our applications and the broader scientific community
Current areas of interest include large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models.
Key Responsibilities:
- Lead engineering efforts on complex research projects in machine learning and artificial intelligence
- Optimize algorithms and ensure the scalability and robustness of research prototypes and systems
- Coordinate closely with researchers to align engineering work with research objectives and project goals
- Mentor and provide technical guidance to junior engineers and research staff
- Contribute to technical publications and assist in preparing research documentation
- Maintain and improve research infrastructure, tools, and workflows
- Stay up to date with the latest advancements in AI, engineering best practices, and related fields
Required Qualifications & Expectations:
- Extensive experience implementing and optimizing machine learning algorithms and systems
- Advanced proficiency in programming languages such as Python, C++, or similar
- Proven ability to lead engineering projects and work both independently and collaboratively
- Experience mentoring junior engineers or technical staff
- Strong problem-solving skills and excellent communication abilities, including technical documentation
Preferred:
- Experience with optimization, reinforcement learning, and/or large language models (LLMs)
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX)
- Experience with scalable system design and deployment in research or production environments
- Exposure to chip design or applied AI research
- Track record of contributing to technical publications or open-source projects
Ongoing Development:
Senior Research Engineers are encouraged to continue developing their leadership and technical expertise, seek out new opportunities for innovation, and actively contribute to the team’s strategic goals. Regular feedback, mentorship, and support will be provided to help you maximize your professional growth and impact.
Competitive Package Available
Closing Date: 5-March-2026
Senior Research Engineer in London employer: MediaTek
Contact Detail:
MediaTek Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and engineering fields. Attend meetups, webinars, or conferences where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and AI. This is your chance to demonstrate your expertise in optimising algorithms and leading engineering efforts.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with programming languages like Python or C++, and how you've mentored junior engineers in the past.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your alignment with our ambitious research goals and your passion for AI.
We think you need these skills to ace Senior Research Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Research Engineer role. Highlight your experience in optimising algorithms and leading engineering projects, as these are key aspects we’re looking for.
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 your background makes you a perfect fit for our team. Don’t forget to mention any mentoring experience you have, as we value that highly.
Showcase Your Projects: If you’ve worked on relevant projects, whether in a professional or personal capacity, make sure to include them. We love seeing practical applications of your skills, especially in machine learning and AI!
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 and shows us you’re serious about joining our team!
How to prepare for a job interview at MediaTek
✨Know Your Algorithms
As a Senior Research Engineer, you'll need to demonstrate your expertise in optimising algorithms. Brush up on the latest advancements in machine learning and be ready to discuss specific examples of how you've improved algorithm performance in past projects.
✨Showcase Your Mentoring Skills
Since mentoring junior engineers is a key part of this role, prepare to share experiences where you've guided others. Think about specific instances where your mentorship led to successful outcomes or improvements in team performance.
✨Align with Research Goals
Familiarise yourself with the company's current research projects, especially in areas like large language models and reinforcement learning. Be prepared to discuss how your engineering work can align with and support these ambitious research objectives.
✨Communicate Clearly
Strong communication skills are essential for this position. Practice explaining complex technical concepts in a clear and concise manner, as you may need to present your ideas to both technical and non-technical audiences during the interview.