Staff Machine Learning Engineer (Fraud Detection)

Location: London, UK. Hybrid work with office attendance approximately 1–2 days per week. Relocation available: No.

Company

hirify.global builds infrastructure for moving value through crypto, stablecoins, tokenized assets, and related financial products.

What you will do

• Own the real-time transaction decisioning system and its underlying machine learning platform.
• Develop feature infrastructure for batch, near-real-time, and in-request data paths with defined freshness budgets.
• Build and operate high-availability services that score transactions within strict latency budgets.
• Design feedback loops that capture decisions and outcomes, including counterfactual results for blocked transactions.
• Develop replay, shadow, and staged-rollout tooling for safe, reversible live model updates.
• Lead model lifecycle management from training through retirement, including monitoring for model decay.

Requirements

• Experience building and operating high-availability real-time services on critical paths with strict latency requirements.
• Strong systems-thinking skills, including failure-point analysis, graceful degradation, fallback mechanisms, and feedback-loop design.
• Ability to write tested, typed, reliable code that handles duplicate, late, and out-of-order events.
• End-to-end ownership of feature or data pipelines, including resolving discrepancies between offline and production metrics.
• Experience turning ambiguous problems into shipped solutions and raising engineering standards through technical influence.
• Ability to work in the London hybrid arrangement with regular office attendance.

Nice to have

• Experience with decision explainability, audit trails, attribution, LLM-driven analysis, or explaining model behavior to non-technical audiences.
• Experience developing unlabeled anomaly-detection systems for novel attack patterns and emerging abuse.
• Familiarity with GCP, BigQuery, Bigtable, Memorystore, Vertex AI, and Kubernetes.

Culture & Benefits

• Equity package and performance-based equity bonuses.
• Employer pension contributions from day one, private healthcare, enhanced parental leave, and flexible time off.
• Hybrid working support, commuter benefits, lunch credit on office days, home-office setup allowance, and remote-working allowance for fully remote employees.
• Unlimited access to enterprise AI tools, a $1,000 annual training budget, mentorship, and structured development opportunities.
• Regular company offsites, product budget, and zero-fee crypto transactions.