At a Glance
- Tasks: Drive innovative research in machine learning to solve real-world scientific problems.
- Company: Exciting AI lab in London focused on impactful scientific advancements.
- Benefits: Competitive salary, equity options, and a comprehensive benefits package.
- Other info: Flexible hybrid work model and a supportive, inclusive team environment.
- Why this job: Make a tangible impact in science while working with cutting-edge AI technology.
- Qualifications: PhD in relevant field and strong Python coding skills required.
The predicted salary is between 60000 - 75000 £ per year.
We are a London-based, early-stage AI lab building AI systems that help scientists learn from real-world experimentation and accelerate the path to commercially valuable materials. Our mission is to combine machine learning, automation and deep domain expertise to solve hard scientific problems with real-world impact.
We are a small, ambitious team bringing together strong ML, engineering and materials science capability. We value pace, rigour, curiosity and low ego, and we want people who are energised by working on focused problems where their contribution is visible from day one. We offer a flexible hybrid working model, regular collaboration in London, and an inclusive environment where people from all backgrounds are welcomed and supported.
As a Research Scientist, Machine Learning, you will own research problems at the intersection of modelling, reasoning and experiment automation. Your work will help power an AI-driven discovery engine by improving how the system learns from sparse, noisy and high-dimensional scientific data.
You will design and prototype novel ML approaches, develop active learning and optimisation methods that decide which experiments should run next, and work closely with materials scientists and chemists to translate scientific constraints into rigorous mathematical models and loss functions. You will take ideas from theory through to proof-of-concept, establish strong baselines, and partner with engineers to scale successful approaches into production. The role is hands-on and requires both research depth and production-quality coding.
Key requirements / What we look for:
- PhD in machine learning, computer science, physics or a related field;
- Strong track record in novel ML research and evaluation;
- Strong Python skills; PyTorch or equivalent, plus production-quality code;
- Experience with Linux, Git and HPC/cloud platforms.
Compensation & Benefits:
- Competitive base salary;
- Generous equity, with performance- and scope-based additional awards;
- Benefits package.
Science researcher in City of London employer: Generative
As a Machine Learning Researcher at our London-based AI lab, you'll be part of a dynamic and ambitious team dedicated to solving significant scientific challenges through innovative AI solutions. We foster a collaborative and inclusive work culture that values curiosity and low ego, offering flexible hybrid working arrangements and opportunities for professional growth in a supportive environment. Join us to make a tangible impact from day one, as you contribute to cutting-edge research that accelerates the discovery of commercially valuable materials.
StudySmarter Expert Advice🤫
We think this is how you could land Science researcher in City of London
✨Get Involved in Research Communities
Dive headfirst into the scientific research world by joining relevant communities and forums. Engage in discussions, share your insights, and even attend conferences or seminars in your field. This not only boosts your visibility but can also lead to potential job opportunities—don't forget to connect with like-minded folks!
✨Show Off Your Research Projects
Have you worked on any cool research projects? Make it easy for potential employers to see your work by creating a portfolio or a personal website. This way, when you apply for roles like the one at Generative, you can point them to your projects and publications, showcasing your expertise directly.
✨Utilise Professional Networks
Networking is key in scientific research. Join professional bodies or organisations related to your field. They often have job boards and resources tailored for job seekers. Make connections with professionals who may know about openings or can give you tips on landing a full-time position.
✨Keep Your Eyes on Openings & Apply Directly
Don’t just rely on job boards! Keep an eye on the careers section of the websites of companies like Generative. Apply directly through their website because sometimes they post jobs there before anywhere else. Plus, it shows your proactive approach!
We think you need these skills to ace Science researcher in City of London
Some tips for your application 🫡
Highlight Your Research Experience:When applying for a full-time role in scientific research, make sure to emphasise your research experience prominently in your CV. Share specific projects you’ve worked on, the methodologies you used, and any significant findings. If you’ve published papers or presented at conferences, definitely include that too – it shows you’re on it in the academic world!
Tailor Your Cover Letter to the Research Area:Your cover letter should reflect your passion for the specific area of research at Generative. Mention relevant experiences that align with the organisation’s goals or projects. This shows that you’ve done your homework and are genuinely interested in the position – plus, it helps us see how you’d fit into the team dynamics.
Showcase Your Data Analysis Skills:In scientific research, data analysis skills are a big deal! Make sure to detail any relevant analytical tools or software you’re familiar with, like R, Python, or statistical packages. Employers are keen to know you can handle the data-heavy elements of the role, so add specific examples where you’ve used these skills effectively.
Discuss Your Future Research Goals:In your motivation section, it’s a great idea to talk about your future research goals and how they align with the work being done at Generative. This shows that you’re not just looking for any job, but rather a chance to contribute meaningfully to the field. We love to see applicants who are forward-thinking and enthusiastic about their research journey!
How to prepare for a job interview at Generative
✨Showcase Your Research Skills
In scientific research, it’s crucial to demonstrate your ability to design and conduct experiments. Come armed with examples of past projects where you've developed hypotheses, collected data, and analysed results. Be ready to discuss any specific methodologies or tools you’ve used, like PCR techniques or statistical software.
✨Prepare for Technical Questions
Expect some technical questions specific to your field. Make sure you're up to speed with recent advancements in scientific research related to the role at Generative. Brush up on concepts relevant to their projects and be prepared to discuss how you would approach a specific research problem or challenge they might face.
✨Know Your Publications
If you've authored or co-authored any papers, be prepared to discuss them! Highlighting your contributions to published research can really set you apart. It shows not only your expertise but also your ability to communicate complex ideas clearly, which is key in scientific research roles.
✨Exhibit Your Team Spirit
In full-time roles, collaboration is often at the heart of scientific research. Prepare examples that show how you've successfully worked in teams, dealt with conflicts, or contributed to group projects. We want to know how you can work effectively with the team at Generative to drive research projects forward.
