Dex
Machine Learning Engineer (up to £230k)
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
About the Role
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.
If you're interested, sign up to Dex to apply.
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.
The Role
This company runs a bootstrapped rewards platform with 80 million users, profitable since day one. The models you build here directly decide what users see and what the company earns, offering a rare, direct line from your work to significant business impact. They are one of Europe's fastest-growing companies, expanding their data and ML function in London.
You'll join a deliberately small data and ML team, owning the entire surface end-to-end. This isn't a role where you hand off models; you'll design, ship, and diagnose them, with a short feedback loop measured in weeks. You'll also help build the ML infrastructure, not just consume it, across a range of problems from reward ranking to personalization and measurement.
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.
The Work
- Design and ship production machine learning models that directly impact user engagement and company earnings.
- Translate complex mathematical business problems into concrete ML formulations.
- Build and optimize reward and payout structures, balancing user motivation with cost sustainability and advertiser value.
- Diagnose and troubleshoot underperforming reward campaigns, identifying root causes and implementing solutions.
- Contribute to the design and implementation of the core ML infrastructure, from training pipelines to live model serving.
What You Bring
- You are genuinely hands-on in production ML, having shipped models end-to-end rather than handing them off.
- You work across the full stack of a problem: data pipeline, model, and live serving.
- You have a strong grounding in statistics, including A/B testing, regression, and probability, ideally with causal inference or uplift methods.
- You are motivated as much by business impact as by technical elegance, prioritizing high-leverage solutions.
- You want to build ML infrastructure alongside your team, not just use existing systems.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Why Apply Through Dex
This is a rare, high-impact ML role at a rapidly growing, profitable company. Dex helps you cut through the noise of the job market, matching you directly to opportunities like this that are often oversubscribed or hard to find. Sign up once, get properly briefed, and skip the cold application process.
If you're interested, sign up to Dex to apply - https://jobs.meetdex.ai/jobs/a0872fe8-fecf-4bc5-ad8b-eed5e74cc44f
As part of the recruitment process at Dex, we process your personal data in accordance with our Privacy Notice for Job Applicants. This notice explains how and why your data is collected and used, and how you can contact us if you have any concerns.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location