Staff Machine Learning Engineer
Role Summary
Join MoonPay as a Staff Machine Learning Engineer in London and be part of a pioneering team focused on fraud detection and machine learning across their operations.
About the Organisation
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.
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.
Minimum Requirements
Decision explainability. You've built systems where the reason for a decision mattered as much as the decision: audit trails, per-layer attribution, llm-driven analyses, or defending a model's behaviour to a non-technical audience.
Anomaly detection. You have developed systems to detect novel attack patterns and emerging abuse without existing labels, identifying suspicious behavior relative to historical baselines.
Familiarity with our stack: GCP, BigQuery, Bigtable, Memorystore, Vertex AI, Kubernetes.
Working Conditions
π° Competitive salary package
π€ Equity package: financial freedom starts with our employees, so all employees have ownership at MoonPay
π Pay-for-performance equity bonus: those who drive outsized outcomes receive outsized rewards
π Moonshot award: we honor exceptional impact. 10 employees twice a year, each earning a $250,000 equity grant
πPension: employer contributions from day one
πEmployee referral program: refer great people, earn 10K in USDC
π Flexible Time Off: choose when to work and when to switch off
π Birthday leave: take the day off to celebrate you
πΌ Enhanced parental leave: more time with family, no second thought
π Hybrid working schedule: work fully remotely or from your nearest Moonbase
π Commuter benefits: public transport to and from the office
π©Ί Private healthcare benefits: to protect you and your loved ones
π§ Wellhub wellness membership: access to gyms, studios, classes, and wellness apps in one membership
π€ Unlimited enterprise access to the latest AI tools: Claude, ChatGPT, Gemini and whatever's next
π± Lunch credit: meals covered on the days you're in the office
πͺ Home office setup allowance: build the home office of your dreams
π Remote working allowance: those working fully remotely get a little extra for utilities
π Monthly product budget and zero-fee crypto transactions
π $1,000 Annual training budget: we support your learning journey
π― High Potential Program: structured development, mentorship, and stretch opportunities
βοΈ Regular remote company offsites: high-impact in-person sessions and hackathons
π² (Ireland) Cycle to Work scheme: tax-efficient bike, gear, and safety kit
π (UK) EV Salary Sacrifice: lease an electric vehicle through pre-tax salary
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Eligibility Criteria
Open to applicants but no clear information on visa sponsorship or requirements for international candidates.
β οΈ Disclaimer: PathwayAI Africa does not guarantee employment, scholarships, visas, or admission. Always verify all opportunities through official sources before submitting personal information.
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