At a Glance
- Tasks: Drive innovative ML research from concept to production with cutting-edge technology.
- Company: Join a leading AI startup with a focus on impactful research.
- Benefits: Earn up to £300k+ total compensation plus equity and enjoy flexible work options.
- Other info: Collaborative environment with opportunities for rapid career growth.
- Why this job: Make a real impact in AI research and own your projects from start to finish.
- Qualifications: Strong research background, PhD or equivalent experience, and deep ML knowledge.
Location: London
Total compensation up to £300,000+ plus equity.
The difference between a great research seat and a frustrating one rarely shows up in the job description — it's compute, freedom to set direction, and whether the organisation actually ships what research produces. We work closely with labs and AI startups across post‑training, generative audio and multimodal work, so we know where those things are real. The teams we'd introduce you to care about your taste and your ambition, not just your publication list.
The opportunities:
- Salaries across these roles run up to £300k+, with equity on top.
- You'd own a research direction end to end — from first idea to a model that's trained, evaluated and live in production, often within days rather than quarters.
- The compute is real, the baselines are meaningful, and results don't sit in a paper queue.
- Driving a research agenda from idea to trained, evaluated model.
- Post‑training, generative or multimodal problems, depending on the team.
- Rigorous experimentation against baselines that actually matter.
- Carrying research from prototype through to production.
You may have:
- A strong research background — PhD or equivalent industry experience.
- Deep ML fundamentals and fluency in modern training stacks (PyTorch / JAX).
- A record of high-quality research in rigorous environments.
- An appetite for owning direction rather than executing someone else's.
Why apply through Dex?
We put you in front of the right teams with a proper introduction, not a cold application — and you stay in control of what moves forward.
ML Researcher / AI Researcher employer: Dex
Join a pioneering early-stage venture-backed company at the forefront of building foundation models for extreme physics, where you will have the unique opportunity to shape the engineering culture from day one. With a strong focus on innovation and collaboration, this role offers competitive compensation, a dynamic work environment, and the chance to contribute to critical advancements in global infrastructure and energy. You'll be part of a small, research-heavy team that values your expertise and encourages personal growth, making it an excellent place for those looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land ML Researcher / AI Researcher
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Dex!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like ML Researcher / AI Researcher at Dex.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Dex.
✨Apply Directly through Our Website
When you find a suitable opening like ML Researcher / AI Researcher at Dex, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
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 Dex, 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 Dex. 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 Dex
✨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!
✨Showcase Your Projects
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 Dex!
✨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.
