{"id":1148221,"url":"https://alion.io/job/wise-senior-ml-platform-engineer-i-financial-crime","title":"Senior ML Platform Engineer I - Financial Crime","company":{"id":3856,"name":"Wise","domain":"wise.com","url":"https://alion.io/company/wise","size_band":"1001-5000","is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":28,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":21,"computed_at":"2026-09-24T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":87500,"max":111000,"currency":"GBP","period":"year","gross":null,"usd_annual":147471},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Java","optional":false},{"name":"Kotlin","optional":false},{"name":"Kubeflow","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"ONNX","optional":true}],"status":"live","first_seen_at":"2026-09-23T15:23:02Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-24T09:09:18Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Wise is a global technology company, building the best way to move and manage the world’s money.\nMin fees. Max ease. Full speed.\nWhether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.\nAs part of our team, you will be helping us create an entirely new network for the world's money.\nFor everyone, everywhere.\nMore about our mission and what we offer.\n About the role:\nWise is one of the fastest-growing global financial platforms, and as we scale, so does the sophistication of the ML systems protecting every transaction. Our Risk ML team is building the model lifecycle platform that makes it possible to develop, deploy, and monitor ML models for financial crime detection - reliably, reproducibly, and at scale.\nWe're looking for a Senior ML Platform Engineer to build this platform from the ground up. You'll design the infrastructure that turns model development from a bespoke, manual process into a scalable, standardised one - so our data and applied scientists can focus on improving detection rather than managing operations.\nThis is a greenfield build with strong investment and direct engagement from Wise's senior leadership.\nHow we work:\nRisk ML sits within Wise’s FinCrime organisation, owning the full ML and AI foundation for financial crime detection. We're scaling into three dedicated pillars - Feature Platform, Learning Loop, and Risk Modelling. You'll sit in Risk Modelling, building the platform layer that makes scaling our detection capabilities possible.\nYou’ll work closely with data scientists, feature platform engineers (upstream infrastructure), and Wise's central ML platform team (shared foundations). We value engineers who build for adoption - internal platforms succeed when teams want to use them.\nWhat will you be working on?\nDesigning and building the declarative training pipeline - standardised, config-driven model training that any data scientist can use without writing deployment code\nBuilding model packaging and serving abstraction - a unified interface that handles multiple model types (classical ML, deep learning, emerging architectures) through a consistent API\nImplementing the model evaluation framework - standardised metrics, reproducible comparison, and automated validation gates\nBuilding model monitoring - drift detection, performance degradation alerts, automated retraining triggers, and full audit trails for regulatory compliance\nOwning the integration layer with Wise's central ML infrastructure - aligning on boundaries so FinCrime-specific lifecycle tooling builds cleanly on shared foundations\nMaximising data science productivity - your platform's success is measured by how much time shifts from operational maintenance to improving detection performance\nWhat do you need?\nExperience building ML platform infrastructure in production - training pipelines, model serving, evaluation frameworks, or monitoring systems. Infrastructure that other teams depend on, not individual model work.\nStrong software engineering fundamentals - you build reliable, well-tested, maintainable systems. Python, Kotlin/Java, SQL.\nExperience with ML orchestration (Airflow, Kubeflow, or equivalent), model registries (MLflow or similar), and container-based deployment\nEnd-to-end understanding of the ML lifecycle - data ingestion through training, packaging, serving, and monitoring - and knowledge of where things break\nA product mindset for internal tooling - you think about data scientists as users and build for adoption, not just functionality\nNice to Have:\nModel serving at scale - latency optimisation, ONNX packaging, canary deployments for models\nExperience in FinCrime, fraud, AML, or regulated environments where audit trails and model governance are non-negotiable\nExperience with model monitoring and drift detection systems in production\nTrack record of migrating teams from manual ML workflows to platform-based approaches\nWe are currently only considering local candidates as relocation support is not provided. For local candidates we are able to support transfer of visa sponsorship\nInterested? Find out more:\nHow we work - a practical guide\n\nDEI @ Wise\n\nWise Tech Stack (2025 update)\n\nSee what it's like to work at Wise London!\n\nOur Engineering career map\n\nWise Engineering -https://medium.com/wise-engineering\n\nWhat do we offer:\nStarting salary: £87,500 - £111,000 + RSUs\n\nWise Benefits\n\n#LI-AB3 #LI-Hybrid\n For everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.\nWe're proud to have a truly international team, and we celebrate our differences.\nInclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.\nIf you want to find out more about what it's like to work at Wise visit Wise.Jobs.\nKeep up to date with life at Wise by following us on LinkedIn and Instagram.","description_format":"text","description_chars":5123,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Financial Services"],"lifecycle":[{"event":"open","at":"2026-09-23T16:25:26Z"}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":0,"expected_fill_days":21,"reasons":["conf:5","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-09-24T05:45:00Z"},"pay":{"stated_usd_annual":147471,"is_top_pay":false},"html_url":"https://alion.io/job/wise-senior-ml-platform-engineer-i-financial-crime","json_url":"https://alion.io/job/wise-senior-ml-platform-engineer-i-financial-crime.json","meta":{"generated_at":"2026-09-24T15:38:12Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}