Staff ML Engineer: Real-Time Fraud Platform & Decisions

Jackalope Digital LLC; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary package

Equity package

Hybrid working schedule

Private healthcare benefits

L&D training budget

Job summary

MoonPay is seeking a Staff Machine Learning Engineer in London, UK. You will own the real-time decisioning platform for fraud detection, building end-to-end ML lifecycle tooling, feature infrastructure, and production-grade models.

The role emphasizes ownership, high-velocity delivery, and collaboration with cross-functional teams. The team focuses on safe, low-latency decisioning, scalable platform growth, and robust production systems.

Qualifications

• Real-time services with strict latency budgets.
• Holistic system thinking and robust feedback loops.
• High-quality, well-tested code with forward compatibility.
• End-to-end pipelines from data to production deployments.
• Ability to convert vague problems into shipped solutions.

Responsibilities

• Own services that score transactions in-flight within a finite latency budget.
• Design resilient degraded paths and policy decisions for edge cases.
• Mature replay, shadow, and staged-rollout tooling for safe model updates.
• Own ML models across lifecycle from training to retirement and monitor decay.

Skills

Real-time serving

Systems thinking

Engineering craft

Pipelines in production

Ambiguity & influence

Job description

MoonPay is seeking a Staff Machine Learning Engineer in London, UK. You will own the real-time decisioning platform for fraud detection, building end-to-end ML lifecycle tooling, feature infrastructure, and production-grade models.

The role emphasizes ownership, high-velocity delivery, and collaboration with cross-functional teams. The team focuses on safe, low-latency decisioning, scalable platform growth, and robust production systems.