Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Conduct cutting-edge research in machine learning and develop innovative algorithms.
- Company: Join Huawei, a global leader in ICT and smart devices.
- Benefits: Enjoy 33 days of annual leave, private medical insurance, and a supportive work culture.
- Why this job: Make a real impact in AI research while collaborating with top scientists worldwide.
- Qualifications: PhD in a relevant field and strong publication record in machine learning.
- Other info: Dynamic environment with opportunities for mentorship and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
Job Summary The Reinforcement Learning Team at the Huawei London Research Centre is seeking a highly skilled and research-driven Machine Learning Scientist to join our team. This role focuses on advancing the state-of-the-art in reinforcement learning, Bayesian optimisation, AI agents, large language models (LLMs), and/or vision-language models (VLMs). You will work at the intersection of fundamental research and applied innovation, developing novel algorithms, architectures, and systems that push the boundaries of AI capabilities.This is a unique opportunity to contribute to high-impact AI research while collaborating with a multidisciplinary and multinational team of scientists and engineers. We value scientific excellence, demonstrated by a strong publication record at top-tier venues, and an eagerness to translate cutting-edge ideas into working prototypes and real-world applications.
Key Responsibilities
Conduct original research in RL, BO, AI agents, LLMs, and VLMs, leading to publications in top conferences and journals (e.g., NeurIPS, ICLR, ICML, JMLR, and others).
Design and implement new algorithms and models that enable advanced reasoning, planning, perception, and multimodal understanding.
Design and implement new algorithms for efficient decision-making under uncertainty with applications to chemistry, physics, open math problems, and robotics.
Collaborate with cross-functional teams to integrate research outputs into scalable systems and real-world use cases.
Explore novel ways to align and enhance AI agents for complex, open-ended tasks.
Actively engage with the broader research community through publications, talks, and open-source contributions.
Mentor junior researchers and contribute to the scientific culture of the team.
Person Specification
Required:
PhD (or equivalent research experience) in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
Strong research track record with publications at top-tier ML/AI venues: ICML, ICLR, JMLR, NeurIPS and the like.
Deep expertise in at least two of the following: reinforcement learning, Bayesian optimisation, AI agents, LLMs, VLMs.
Proficiency in Python and experience with at least one major ML framework (PyTorch, TensorFlow, or JAX).
Ability to work in a fast-paced, research-oriented environment with ambiguous and evolving goals.
Excellent problem-solving, collaboration, and communication skills.
Ability to lead a team of junior researchers and engineers.
Passion for bridging fundamental AI research with impactful applications.
What We Offer
33 days annual leave entitlement per year (including UK public holidays)
Group Personal Pension
Life insurance
Private medical insurance
Medical expense claim scheme
Employee Assistance Program
Cycle to work scheme
Company sports club and social events
Additional time off for learning and development
#J-18808-Ljbffr
Research Scientist -Machine Learning 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 -Machine Learning
✨Network Like a Pro
Get out there and connect with people in the industry! Attend conferences, workshops, or even local meetups. We can’t stress enough how important it is to build relationships; you never know who might help you land that dream job.
✨Show Off Your Skills
Don’t just talk about your experience—show it! Create a portfolio of your projects, especially those related to reinforcement learning or AI. We love seeing real-world applications of your work, so make sure to highlight your best stuff!
✨Ace the Interview
Prepare for technical interviews by brushing up on your algorithms and problem-solving skills. We recommend practicing common ML interview questions and even doing mock interviews with friends. Confidence is key, so get comfortable with your knowledge!
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who want to push the boundaries of AI research.
We think you need these skills to ace Research Scientist -Machine Learning
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Research Scientist - Machine Learning role. Highlight your relevant experience in reinforcement learning, Bayesian optimisation, and any publications you've got under your belt. We want to see how your skills align with what 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 research and how you can contribute to our team. Be sure to mention specific projects or experiences that relate to the job description. We love a good story!
Showcase Your Research Impact: When detailing your research experience, focus on the impact of your work. Mention any algorithms or models you've developed and how they’ve been applied in real-world scenarios. We’re all about pushing boundaries, so let us know how you’ve done that!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to us. Plus, we love seeing candidates who take the initiative to connect with us directly!
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 in detail, especially any work related to reinforcement learning or Bayesian optimisation. Be prepared to explain your methodologies and the impact of your findings, as this will show your depth of knowledge and passion for the field.
✨Showcase Your Collaboration Skills
Since the role involves working with cross-functional teams, be ready to share examples of how you've successfully collaborated in the past. Highlight any experiences where you mentored junior researchers or contributed to a team project, as this demonstrates your ability to work well with others.
✨Demonstrate Your Problem-Solving Abilities
Prepare to tackle hypothetical scenarios or case studies during the interview. Think about how you would approach complex problems in AI and machine learning, and articulate your thought process clearly. This will showcase your analytical skills and innovative thinking.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest advancements in AI, particularly in areas like large language models and vision-language models. Being able to discuss current trends and how they relate to Huawei's goals will show that you're not only knowledgeable but also genuinely interested in contributing to their mission.
