{"id":2399774,"url":"https://alion.io/job/modelwise-senior-ml-engineering-lead-financial-crime","title":"Senior ML Engineering Lead - Financial Crime","company":{"id":4410409,"name":"Modelwise","domain":"modelwise.ai","url":"https://alion.io/company/modelwise-gmbh","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career sitemap","truth_index":{"grade":"B","score":80,"open_postings":57,"ghost_share":0,"stale_share":0.789,"repost_share":0.018,"time_to_fill_p50_days":22,"computed_at":"2026-10-26T05:57:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"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":135000,"max":175000,"currency":"GBP","period":"year","gross":null,"usd_annual":231292},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Fine-tuning","optional":true},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-09-23T15:27:18Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-10-27T05:01:33Z","board_verified":true,"closed_at":null,"days_open":33,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":33},"description":"Company Description\nWise 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.\nJob Description\nAbout the role:\nWise 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.\nWe'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.\nThis is a rare greenfield leadership role with strong investment and engagement from Wise's CTO and 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 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.\nWe 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.\nWhat will you be working on?:\nThe 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\nThe Experimentation Engine: Establish the reusable path from research (partnering with DS Research) to high-throughput production for traditional and modern architectures\nModel 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\nThe 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\nCross-Platform Partnership: Define and navigate the partnership with key platform teams - owning the build vs consume decisions for your pillar\nWhat do you need?:\nYou'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\nSystem-level and mathematical depth: you can design a model factory architecture, review a training pipeline & debug a runtime inference latency regression\nExperience in high-throughput environments where latency constraints are tight and model failures carry massive financial consequences\nTrack record of hiring and developing senior engineers - you've built a team, not just inherited one\nAbility to navigate ambiguity and make architecture-level decisions with incomplete information - this is a greenfield build, not an optimisation role\nStrong enough technically to guide and review across deep learning, ML systems and production infrastructure - you lead through depth, not just delegation\nNice to Have:\nExperience at a tier-1 fintech or payments company\nExperience with graph-based methods (GNNs, entity resolution) in production\nFoundation model fine-tuning or LLM evaluation experience\nExperience establishing ML engineering practices in organisations transitioning from classical ML to deep learning\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: £135,000 - £175,000 + RSUs\n\nWise Benefits\n\n#LI-AB3 #LI-Hybrid\nAdditional Information\nFor 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":5166,"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":false,"industries":["Artificial Intelligence","Internet Services","Manufacturing","Internet Service Providers"],"lifecycle":[{"event":"open","at":"2026-10-12T23:12:51Z"}],"visa":[],"liveness":{"score":28,"band":"fade","label":"Fading","p_open":1,"p_active":0.517,"p_room":0.55,"age_days":32,"expected_fill_days":22,"reasons":["conf:0","stale_co","velocity","win:tail","comp:brand"],"computed_at":"2026-10-26T05:57:25Z"},"pay":{"stated_usd_annual":231292,"is_top_pay":true},"html_url":"https://alion.io/job/modelwise-senior-ml-engineering-lead-financial-crime","json_url":"https://alion.io/job/modelwise-senior-ml-engineering-lead-financial-crime.json","meta":{"generated_at":"2026-10-27T05:01:53Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":4858,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4410409},"rest":"https://alion.io/mcp/rest/get_company?id=4410409"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmodelwise-senior-ml-engineering-lead-financial-crime"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmodelwise-senior-ml-engineering-lead-financial-crime"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmodelwise-senior-ml-engineering-lead-financial-crime"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/modelwise-senior-ml-engineering-lead-financial-crime\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmodelwise-senior-ml-engineering-lead-financial-crime"}]}