At a Glance
- Tasks: Research and develop innovative approaches to machine learning and robotics.
- Company: Exciting early-stage UK startup at the forefront of AI and robotics.
- Benefits: Meaningful equity, freedom to explore ideas, and a collaborative environment.
- Other info: Join a small, highly technical team and shape the research direction.
- Why this job: Tackle challenging problems and make a real impact in robotics and AI.
- Qualifications: Strong background in machine learning, robotics, or computer vision required.
The predicted salary is between 63000 - 77000 £ per year.
Build the intelligence that helps robots understand and interact with the physical world. We’re looking for a Research Scientist to join an early-stage UK startup working at the intersection of machine learning and robotics. This is a highly research-driven role. You’ll explore new approaches to robot learning, vision-language-action models and world models, with the opportunity to test your ideas on real robotic systems.
The role
- Research and develop new approaches to Physical AI
- Train and evaluate VLAs, world models and robot learning systems
- Explore new architectures, training techniques and data strategies
- Investigate how models can generalise across different tasks and environments
- Turn research ideas into experiments on real robotic hardware
- Play a major role in shaping the company's research roadmap
About you
- Strong research background in machine learning, robotics or computer vision
- Deep understanding of modern deep learning
- Experience training and evaluating ML models
- Strong mathematical and experimental skills
- Comfortable tackling open-ended research problems
- Able to take an idea from hypothesis through to rigorous experimentation
Why this role?
- Join at an early/founding stage with meaningful equity
- Work on some of the hardest problems in robotics and Physical AI
- Test your research on real-world robotic systems
- Significant freedom to explore new ideas
- Help shape the research direction from an early stage
- Work alongside a small, highly technical team
Machine Learning Research Scientist in London employer: Understanding Recruitment
As a leading GreenTech company based in London, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises innovation and sustainability. Our employees enjoy a competitive benefits package, flexible working arrangements, and ample opportunities for professional growth, all while contributing to impactful clean energy projects that make a difference in the world.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Research Scientist in London
✨Dive into Robotics Meetups
Get yourself out there and connect with others in the robotics-automation field by attending local meetups and industry events. These gatherings are where the magic happens, and you might just rub shoulders with someone from Understanding Recruitment or get insider tips on upcoming vacancies.
✨Showcase Your Projects
Create a portfolio that highlights your robotics projects, whether they're personal, academic, or freelance. Share this on platforms like GitHub or your personal website, as it shows potential employers, like Understanding Recruitment, what you're made of and your hands-on experience in the field.
✨Utilise University Resources
If you're fresh out of university or still connected, don't underestimate your career services. They often have exclusive access to job fairs and employer networking events in technical fields like ours, so make sure you tap into those resources to discover openings at companies like Understanding Recruitment.
✨Engage in Online Communities
Join online communities that focus on robotics and automation, such as forums or LinkedIn groups. Engage in conversations, ask questions, and share insights. This not only builds your visibility but could also lead to direct connections at firms like Understanding Recruitment, which might have the full-time role you're after.
We think you need these skills to ace Machine Learning Research Scientist in London
Some tips for your application 🫡
Showcase Your Technical Skills:In the robotics and automation field, it's crucial to highlight your technical skills on your CV. Include specific programming languages, software platforms, and any relevant robotics experience. Don’t forget to mention any projects or systems you've developed – this info can really make you stand out!
Portfolio Perfection:Having a polished portfolio can speak volumes for a role in robotics. Include any relevant case studies, designs, or prototypes you've worked on. If you've participated in competitions or hackathons, showcase these achievements as well – they show initiative and problem-solving skills!
Tailored Cover Letter Magic:In your cover letter, don’t just tell us that you love robotics—tell us why you’re passionate about automation specifically! Explain how your skills can contribute to Understanding Recruitment’s projects and remember to connect your past experiences to what you'll be doing in this role.
Certifications Matter:If you’ve got any relevant certifications, such as in robotic process automation or machine learning, make sure they’re front and centre on your CV. These credentials show you're dedicated to your field and keep you up to date with industry standards – we love to see that!
How to prepare for a job interview at Understanding Recruitment
✨Showcase Your Technical Wizardry
For a role in robotics and automation at Understanding Recruitment, it's crucial to demonstrate your technical skills. Be prepared to dive into specifics about the programming languages and tools you’ve used, like Python or ROS (Robot Operating System). Brush up on your knowledge of algorithms and control systems, as these might come up during technical questions.
✨Bring Your Projects to Life
With a full-time position in robotics, you should have a portfolio of your projects ready to show. Whether it's a robot you built for a competition or a simple automation script, make sure you can discuss the challenges you faced and how you solved them. This hands-on experience is gold and shows you can apply theoretical knowledge in real-world scenarios.
✨Think Like an Engineer
Expect some problem-solving scenarios during your interview. You might be asked to design a basic automation solution on the spot or troubleshoot a robotic system. Practising these types of technical questions can really set you apart, as they require critical thinking and a systematic approach to tackle problems.
✨Culture Fit Is Key!
Don’t underestimate the importance of cultural fit at Understanding Recruitment. They might ask about your teamwork experience and how you handle challenges with peers. Be ready to share examples of working in diverse teams, as collaboration is often central to projects in robotics and automation.
