Top Tech Jobs & Startup Jobs in London

Own end-to-end technical recruiting across Engineering, Data, AI, and Security. Partner with hiring managers, develop sourcing and talent-mapping strategies, use market data to improve searches, and close candidates in competitive markets. Apply AI to sourcing, screening, research, reporting, and process improvement while advising technical leaders and contributing to better recruiting practices.

Serve as MoonPay UK's MLRO and SMF17 holder, owning AML/CTF and CASS frameworks, suspicious activity reporting, compliance training, regulatory engagement, audits, and FCA authorisation support. The role requires deep UK financial crime and client asset protection expertise, leadership across jurisdictions, and the ability to build practical compliance controls in a fast-growing crypto and fintech environment.

Design, build, and operate high-throughput Rust backend services for financial transactions, compliance, custody, stablecoins, and blockchain infrastructure. Own features end to end, integrate with banks, payment processors, blockchains, and compliance vendors, and improve observability, security, incident response, and API quality. Staff engineers additionally set technical direction, make cross-team architecture decisions, and mentor engineers.

Own the multi-year KYB product strategy for MoonPay Enterprise, including business onboarding, conversion funnels, API and partner experience, compliance workflows, verification vendors, and provider orchestration. The role requires turning regulatory requirements into scalable product logic, improving verification speed and automation, measuring funnel performance, and expanding AI-assisted review while maintaining risk controls. This principal-level PM partners closely with compliance, banking providers, and engineering to build an API-first B2B onboarding platform.

Own the real-time fraud decisioning platform and complete machine learning lifecycle, including feature infrastructure, model serving, feedback loops, fallback paths, monitoring, replay, shadow testing, staged rollouts, and model retirement. Lead technical direction through ambiguity, establish engineering standards, scale high-availability services under strict latency budgets, and ensure alignment between training and production serving.

Partner with Product and Engineering to define metrics, run root-cause analyses and experiments, build tracking, reporting, and automated alerts, model data in dbt/BigQuery, scale AI-assisted analytics for self-serve, and communicate insights to drive product and business decisions.

Lead design and evolution of a company-wide data platform spanning streaming, batch, warehousing, orchestration, governance, and ML enablement. Deliver core platform capabilities, reliable real-time pipelines, shared tooling, and scalable infrastructure. Drive cross-team initiatives, champion golden paths, improve reliability/cost/observability, ensure regulatory compliance, and mentor senior engineers while influencing technical strategy and standards.