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- Tasks: Conduct original research in reinforcement learning and AI, and design innovative algorithms.
- Company: Join a global telecommunications leader driving innovation in AI.
- Benefits: Competitive salary, dynamic work environment, and opportunities for mentorship.
- Why this job: Make a real impact in AI applications while collaborating with a multidisciplinary team.
- Qualifications: PhD and strong research track record in machine learning required.
- Other info: Full-time position based in Greater London with excellent career growth potential.
The predicted salary is between 48000 - 72000 £ per year.
A global telecommunications leader is seeking a Research Scientist - Machine Learning. This role involves conducting original research in reinforcement learning and AI, designing algorithms, and mentoring junior researchers.
Ideal candidates will have a PhD and a strong research track record in machine learning fields. Join a multidisciplinary team to drive innovation and contribute to impactful AI applications in a dynamic environment. This is a full-time position based in Greater London.
Research Scientist, ML & RL Innovation (Contractor) employer: Huawei Technologies Research & Development (UK) Ltd
Contact Detail:
Huawei Technologies Research & Development (UK) Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist, ML & RL Innovation (Contractor)
✨Tip Number 1
Network like a pro! Reach out to professionals in the ML and RL fields on LinkedIn or at conferences. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research projects, algorithms, and any mentoring experiences. This will help us see your practical expertise and passion for innovation.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your research in detail. We want to hear about your thought process and how you tackle complex problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Research Scientist, ML & RL Innovation (Contractor)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your research experience in machine learning and reinforcement learning. We want to see how your skills align with the role, so don’t be shy about showcasing your PhD and any relevant projects you've worked on.
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 multidisciplinary team. We love seeing candidates who can articulate their vision for innovation in this field.
Showcase Your Research Impact: When detailing your research track record, focus on the impact of your work. We’re interested in how your contributions have advanced the field of machine learning. Include any publications or presentations that highlight your achievements.
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 gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Huawei Technologies Research & Development (UK) Ltd
✨Know Your Research Inside Out
Make sure you can discuss your previous research projects in detail. Be prepared to explain your methodologies, findings, and how they relate to reinforcement learning and AI. This shows your depth of knowledge and passion for the field.
✨Showcase Your Algorithm Design Skills
Be ready to talk about specific algorithms you've designed or worked with. Bring examples that highlight your problem-solving skills and creativity in applying machine learning techniques. This will demonstrate your practical experience and innovation potential.
✨Prepare for Technical Questions
Expect technical questions related to machine learning and reinforcement learning. Brush up on key concepts, recent advancements, and be ready to solve problems on the spot. This will help you stand out as a knowledgeable candidate.
✨Emphasise Mentorship Experience
Since mentoring junior researchers is part of the role, share your experiences in guiding others. Discuss how you've helped colleagues grow in their research or skills, showcasing your leadership abilities and collaborative spirit.
