Dex
Research Data Scientist (up to £130k)
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Applied ML Scientist / Machine Learning Engineer
This role is with one of Dex's trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process.
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About Dex
Dex is an AI recruiter agent that helps you run your job search. Tell Dex your stack, seniority, and what you want to build—we will manage your applications and surface other opportunities that are a fit.
About the Role
Most AI companies chase the same shiny problems. This one doesn’t.
They’re building an AI operating system for industries that modern software has ignored for decades—where data is fragmented, incomplete, and complex. Their work is about real-world impact, not just another consumer app. They’re backed by leading VCs, and their founding team are seasoned AI researchers.
You’ll join a small, high-calibre team, working directly with the founders. This is applied science, not pure research. You’ll take messy, real-world data from legacy systems and transform it into AI-driven products, from forecasting to optimisation. Expect:
- Deep data exploration
- Rigorous experimentation with LLMs
- Models that ship and deliver tangible business value
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
This isn’t about academic papers—it’s about building production-ready AI.
The Work
- Wrangle large, fragmented datasets from legacy systems, transforming raw data into usable features for AI models.
- Design and execute rigorous experiments, establishing proper baselines and statistical evaluation for new models and features.
- Build, deploy, and iterate on applied ML models for forecasting, optimisation, and recommendation across core business functions like sales and inventory.
- Explore and apply cutting-edge LLM techniques (fine-tuning, prompt engineering) to unlock new product capabilities.
- Collaborate directly with engineering to productionise research, ensuring models are robust, scalable, and trustworthy.
Requirements
- A Master’s or PhD in a quantitative science (e.g., ML, Physics, Neuroscience, Maths). A strong self-taught ML background with scientific rigour is also welcome.
- 4+ years (or 2+ years post-PhD) of hands-on experience in data science, ML engineering, or applied research.
- Proven ability to design and execute statistically rigorous experiments, including proper baselines and controls.
- Expertise in Python and core DS/ML libraries (e.g., pandas, scikit-learn, PyTorch, Hugging Face), with in-depth knowledge of evaluation metrics.
- A genuine drive to apply and experiment with LLMs in practical, business-focused product contexts.
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Why Apply Through Dex?
This is a rare, high-impact role at a company still largely unknown. Applying via Dex means:
- You skip the cold application process.
- Get a full, unbiased brief on the company and role before you interview.
- Connect directly with opportunities that genuinely fit your expertise and ambitions.
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