Staff Machine Learning Engineer
MoonPay, London - Hybrid
- Pay
- Not listed by the employer
- Work type
- Hybrid
- Level
- Staff
- Area
- ML / AI engineering
- Posted
- Aug 24, 2026
About the role
About MoonPay
MoonPay is for builders with something to prove.
This isn't a "work on cool crypto stuff" company. It's a high-standards, high-velocity, high-accountability company building the operating system for value movement. If the internet moves information, we move value: crypto, stablecoins, tokenized assets, and whatever comes next. Four offerings make that real: fund, tokenize, trade, and spend. 30M+ customers and 500+ ecosystem partners run on us. Licensed in the U.S. Regulated across the UK, EU, Canada, and Australia.
AI is the default operating mode here. It's woven into every role, and we expect you to use it daily. It handles the manual work so you can deliver on what actually matters.
You'll thrive here if outcomes excite you more than process, if impact motivates you more than titles, and if you want hard problems, real ownership, and teammates who love winning, building, and doing it together.
The bar is high. The pace is real. We're building for what's next, for humans and agents.
Recent recognition:
Forbes' America's Best Startup Employers 2026 . 2nd in Crypto Services on Fortune's inaugural Crypto 100 The Sunday Times Best Places to Work two years running
Research has shown that women are less likely than men to apply for this role if they do not have experience in 100% of these areas. Please know that this list is indicative, and that we would still love to hear from you even if you feel that you are only a 75% match. Skills can be learned, diversity cannot.
Locations Supported ๐
-
London, UK
Relocation available: No
Work pattern: Hybrid: our teams meets in the office ~1-2 days a week
About the Opportunity
Every transaction we process requires a real-time decision. Declining a legitimate transaction leaves a customer stuck at the point of purchase, while approving a fraudulent one carries a direct cost.
This role owns the decisioning system and underlying platform. From the serving path and feature infrastructure to the underlying models and the machinery required to make safe, live updates. You will continuously improve the platform and our day to day workflows, rather than treating these as secondary projects.
As a Staff Machine Learning Engineer, you will hold a hands-on technical position. You will be part of a team that builds, ships, and maintains the entire machine learning lifecycle.
Our main focus is fraud detection and prevention, an adversarial domain where opponents constantly adapt and feedback arrives in the form of financial impact. Alongside, this we build broader capabilities to enable machine learning across Moonpay.
Lead through ambiguity
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Turn vague problems into well-defined solutions and bring people with you.
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Set the technical bar through rigorous reviews, clear standards, and lasting engineering habits.
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Listed on MoonPay's Lever job board; checked 26 h ago. First seen by us 26 h ago. Being listed doesn't mean the team is actively interviewing. We found this board in a public directory and haven't yet confirmed it against the company's own careers page.