Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a team advancing AI through original research and innovative algorithms.
- Company: Leading tech research organisation in Greater London with a focus on cutting-edge technology.
- Benefits: Collaborative environment, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on high-stakes AI projects in a dynamic, multinational team.
- Qualifications: Strong background in Computer Science and expertise in reinforcement learning or Bayesian optimisation.
- Other info: Exciting opportunity to work at the forefront of AI research.
The predicted salary is between 36000 - 60000 £ per year.
A leading tech research organization in Greater London is seeking a skilled Machine Learning Engineer to join their Reinforcement Learning Team. This role focuses on advancing AI through original research and developing cutting-edge algorithms that combine scientific and applied innovation.
Candidates should have a strong academic background in Computer Science, expertise in reinforcement learning or Bayesian optimisation, and proficiency in Python.
This is an exciting opportunity to contribute to high-impact AI projects within a dynamic multinational team.
Research Engineer, ML — Advancing RL & AI for Science 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 Engineer, ML — Advancing RL & AI for Science
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 projects, especially those related to reinforcement learning or AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Research Engineer, ML — Advancing RL & AI for Science
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in reinforcement learning and Bayesian optimisation. We want to see how your academic background in Computer Science has prepared you for this role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Research Engineer position. We love seeing candidates who take the time to align their experiences with what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your passion for AI and your technical skills shine through without unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in our dynamic team!
How to prepare for a job interview at Huawei Technologies Research & Development (UK) Ltd
✨Know Your Algorithms
Make sure you brush up on reinforcement learning and Bayesian optimisation concepts. Be ready to discuss specific algorithms you've worked with, how they apply to real-world problems, and any challenges you faced while implementing them.
✨Showcase Your Python Skills
Since proficiency in Python is key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges and be familiar with libraries commonly used in machine learning.
✨Research the Organisation
Dive deep into the organisation's recent projects and publications. Understanding their focus areas will not only help you tailor your answers but also show your genuine interest in contributing to their mission of advancing AI for science.
✨Prepare Thoughtful Questions
Interviews are a two-way street! Prepare insightful questions about the team dynamics, ongoing projects, and future directions of their research. This shows that you're not just interested in the job, but also in how you can fit into their vision.