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- Tasks: Join our robotics lab to develop cutting-edge machine learning models and neural networks.
- Company: We're a pioneering robotics lab in London, pushing the boundaries of technology.
- Benefits: Enjoy a long-term contract with opportunities for growth and innovation in a dynamic environment.
- Why this job: Be part of a research-driven team making real-world impacts in robotics and AI.
- Qualifications: Strong experience in reinforcement learning and neural network design is essential.
- Other info: Candidates must have the right to work in the UK.
The predicted salary is between 48000 - 72000 £ per year.
Robotics lab based in London is looking for a seasoned ML Engineer to join their team for a long-term contract.
Main requirements are related to:
- Strong hands-on experience with reinforcement learning
- A deep understanding of neural network design
- Someone who has worked in a research-heavy environment
- A background in Mathematics, Computer Science or something similar
- Experience in computer graphics or the gaming space is a plus
Please note we're looking for candidates who have strong RL experience and have completed projects where they designed neural networks. All candidates need to have full right to work in the UK.
Machine Learning Engineering employer: Proactive Global
Contact Detail:
Proactive Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineering
✨Tip Number 1
Make sure to showcase your hands-on experience with reinforcement learning in any discussions or interviews. Be prepared to discuss specific projects where you've implemented RL techniques and the outcomes of those projects.
✨Tip Number 2
Familiarise yourself with the latest advancements in neural network design. Being able to discuss recent research papers or breakthroughs can demonstrate your commitment to staying updated in the field.
✨Tip Number 3
If you have experience in a research-heavy environment, be ready to share examples of how you've contributed to collaborative projects. Highlighting your teamwork and problem-solving skills will be crucial.
✨Tip Number 4
If you have a background in computer graphics or gaming, prepare to discuss how this experience can enhance your work as an ML Engineer. Relating your skills to the robotics lab's focus can set you apart from other candidates.
We think you need these skills to ace Machine Learning Engineering
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasise your hands-on experience with reinforcement learning and any projects where you've designed neural networks. Use specific examples to demonstrate your expertise.
Showcase Your Background: Clearly outline your educational background in Mathematics, Computer Science, or a related field. If you have experience in a research-heavy environment, mention it prominently.
Include Technical Skills: List relevant technical skills, especially those related to machine learning, neural networks, and any experience in computer graphics or gaming. This will help you stand out as a strong candidate.
Tailor Your Application: Customise your CV and cover letter to align with the job description. Address the specific requirements mentioned, such as strong RL experience and the ability to work in a team-oriented environment.
How to prepare for a job interview at Proactive Global
✨Showcase Your Reinforcement Learning Projects
Be prepared to discuss specific projects where you've applied reinforcement learning. Highlight the challenges you faced, your approach to solving them, and the outcomes of your work.
✨Demonstrate Neural Network Design Skills
Bring examples of neural networks you've designed. Explain your design choices and how they contributed to the success of your projects, especially in a research-heavy environment.
✨Connect Mathematics to Machine Learning
Since a strong mathematical background is essential, be ready to explain how your knowledge of mathematics has influenced your work in machine learning. Discuss any relevant theories or concepts that you've applied.
✨Highlight Relevant Experience in Gaming or Graphics
If you have experience in computer graphics or the gaming industry, make sure to mention it. Discuss how this experience can bring value to the robotics lab and enhance their projects.
