At a Glance
- Tasks: Lead groundbreaking research in robot learning and develop innovative AI models.
- Company: Ambitious UK startup focused on Physical AI with a small, technical team.
- Benefits: Founding role with significant equity and genuine research freedom.
- Other info: Opportunity to define the research agenda and experiment on real robotic hardware.
- Why this job: Shape the future of robotics and make a real impact from day one.
- Qualifications: Strong background in ML, robotics, or computer vision; deep understanding of deep learning.
The predicted salary is between 63000 - 77000 £ per year.
Machine Learning Research Scientist
Help define the research agenda for Physical AI from day one.
We’re hiring a Founding Research Scientist for an ambitious UK startup building the models that will enable robots to understand, learn and act in the real world .
You’ll tackle open-ended research across robot learning, vision-language-action models and world models - developing new ideas, testing them on real robotic systems and turning promising research into working technology.
- What you’ll do
- Lead research across robot learning, VLAs and world models
- Develop new model architectures, training methods and data strategies
- Explore how models can generalise across tasks, environments and embodiments
- Take ideas from papers and first principles to real-world robotic experiments
- Help define the company’s long-term research direction
- Publish meaningful research
- What we’re looking for
- Strong research background in ML, robotics or computer vision
- Deep understanding of modern deep learning
- Experience training and evaluating ML models
- Excellent mathematical and experimental instincts
- Ability to form hypotheses and design rigorous experiments
- Curiosity for genuinely unsolved research problems
Why join?
- Founding role + significant equity
- Define the research agenda from the ground up
- Work at the frontier of Physical AI
- Experiment on real robotic hardware
- Small, highly technical founding team
- Genuine research freedom and ownership
- #J-18808-Ljbffr
Machine Learning Scientist - Early Scale-Up 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 Scientist - Early Scale-Up
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We think you need these skills to ace Machine Learning Scientist - Early Scale-Up
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Understanding Recruitment, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Understanding Recruitment. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Understanding Recruitment
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Understanding Recruitment!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
