[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Wise jobs](https://jobs.opennash.com/companies/wise/) · [Search jobs](/search/) Wise · London, England, United Kingdom # Senior ML Engineering Lead - Financial Crime London, England, United Kingdom Full-time Manager or lead £135,000 - £175,000 Finance & Accounting Listed on Wise’s official careers site. Posted September 23, 2026. Check that it is still open and apply there. [Apply on Wise’s careers site →](https://jobs.smartrecruiters.com/Wise/744000151415509-senior-ml-engineering-lead-financial-crime) [OpenNash Jobs](https://jobs.opennash.com/) / [Wise](https://jobs.opennash.com/companies/wise/) / Senior ML Engineering Lead - Financial Crime ## Job description ### About the role Wise protects millions of customers and billions in transactions from fraud, money laundering and financial crime. Our ML systems are the front line of defense - operating at a global scale of 100K requests/minute under strict sub-50ms latency SLAs. We need an exceptional technical leader to own how these models are engineered, shipped and scaled. We're hiring a Senior ML Engineering Lead to build and grow Wise's Risk Modelling engineering pillar. You will own the full model lifecycle standard for financial crime detection - from offline experimentation to production deployment and real-time monitoring and build the team to execute it. Your job is to build the automated engineering ecosystem and organisation that scales this safely to hundreds of models. This is a rare greenfield leadership role with strong investment and engagement from Wise's CTO and senior leadership. ### How we work Risk ML sits within Wise's FinCrime organisation, owning the full ML and AI foundation for financial crime detection. We're have three dedicated pillars - Feature Platform, Learning Loop and Risk Modelling. You'll lead the Risk Modelling pillar, leading a team of Senior ML Systems Engineers and Applied ML Engineers. We operate with high autonomy and low hierarchy. You'll own the engineering strategy end-to-end - from architecture decisions and infrastructure design through to hiring, team culture and cross-platform partnerships. We value leaders who shape direction and build teams, not just manage delivery. What will you be working on?: The Model Factory: Architect the declarative pipeline that turns a configuration file into a deployed, monitored model - the engineering backbone for scaling to hundreds of models The Experimentation Engine: Establish the reusable path from research (partnering with DS Research) to high-throughput production for traditional and modern architectures Model Operations: Build the infrastructure for automated retraining, drift detection, threshold simulation/management and audit trails - the operational layer required to run hundreds of models safely at scale The Team: Recruit, lead and mentor a world-class team of ML engineers. - Establish a high-performance, engineering-first culture from scratch - setting hiring standards, technical bar and growth paths Cross-Platform Partnership: Define and navigate the partnership with key platform teams - owning the build vs consume decisions for your pillar What do you need?: You've explicitly led or built an ML Engineering or model lifecycle automation team (not just used one) at a high-growth company - you defined the standards that other engineering teams followed System-level and mathematical depth: you can design a model factory architecture, review a training pipeline & debug a runtime inference latency regression Experience in high-throughput environments where latency constraints are tight and model failures carry massive financial consequences - Track record of hiring and developing senior engineers - you've built a team, not just inherited one - Ability to navigate ambiguity and make architecture-level decisions with incomplete information - this is a greenfield build, not an optimisation role - Strong enough technically to guide and review across deep learning, ML systems and production infrastructure - you lead through depth, not just delegation Nice to Have: Experience at a tier-1 fintech or payments company Experience with graph-based methods (GNNs, entity resolution) in production Foundation model fine-tuning or LLM evaluation experience Experience establishing ML engineering practices in organisations transitioning from classical ML to deep learning Interested? ### Find out more How we work – a practical guide DEI @ Wise Wise Tech Stack (2025 update) See what it's like to work at Wise London! Our Engineering career map Wise Engineering – [https://medium.com/wise-engineering](https://medium.com/wise-engineering) What do we offer: Starting salary: £135,000 - £175,000 + RSUs Wise Benefits #LI-AB3 #LI-Hybrid ## At a glance - Posted by the employer: Sep 23, 2026 - First seen by OpenNash: Oct 11, 2026 - Last checked: Oct 18, 2026 - Listed for: 25 days - Location: London, England, United Kingdom - Employment type: Full-time - Pay: £135,000 - £175,000[Apply on Wise’s careers site →](https://jobs.smartrecruiters.com/Wise/744000151415509-senior-ml-engineering-lead-financial-crime) ## More jobs at Wise ### [Senior ML Platform Engineer I - Financial Crime](https://jobs.opennash.com/companies/wise/jobs/cdcf8ee5ebc4658f1613/) London, England, United Kingdom ### [Staff Applied ML Engineer - Financial Crime](https://jobs.opennash.com/companies/wise/jobs/190a92c2a34c6d9a9105/) London, England, United Kingdom ### [Backend Software Engineer - Product Eligibility](https://jobs.opennash.com/companies/wise/jobs/0706f3218422efb34251/) London, England, United Kingdom ### [Senior Backend Engineer I - Account Insights](https://jobs.opennash.com/companies/wise/jobs/b896ee6a863507732d79/) London, England, United Kingdom ### [Senior Business Development Manager - Switzerland](https://jobs.opennash.com/companies/wise/jobs/64c7c238c07abdd1e2a7/) London, England, United Kingdom ## Similar jobs at other companies ### [Financial Crime Prevention Associate II - DetecciÓN DE Fraude - AI Transformation & Engineering Colombia](https://jobs.opennash.com/companies/bbva-banco-bilbao-vizcaya-argentaria/jobs/dde8fd61303a385f6a1f/) BBVA-Banco Bilbao Vizcaya Argentaria ### [Financial Crime Advisory Consultant](https://jobs.opennash.com/companies/ntt/jobs/40172e44fe5965e7e990/) NTT · Dublin, D, IE, Ireland ### [Financial Crime Quality Senior Analyst](https://jobs.opennash.com/companies/accenture/jobs/7ebbd0af106f676c3c94/) Accenture ### [Manager, Financial Crime CIB / WPB](https://jobs.opennash.com/companies/hsbc-holdings/jobs/304d0ef548394547545c/) HSBC Holdings · Tokyo, Japan ### [Financial Crime Risk Investigator II -Securities](https://jobs.opennash.com/companies/td-bank-group/jobs/a63924c226057c0365da/) TD Bank Group OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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