{"id":120016,"url":"https://alion.io/job/moonpay-staff-machine-learning-engineer","title":"Staff Machine Learning Engineer","company":{"id":2725,"name":"MoonPay","domain":"moonpay.com","url":"https://alion.io/company/moonpay","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","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":null,"salary_estimate":{"min_usd":210000,"max_usd":347000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":18},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"BigQuery","optional":true},{"name":"GCP","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Google Bigtable","optional":true},{"name":"Kubernetes","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-08-24T15:43:30Z","employer_posted_date":"2026-08-24","last_verified_at":"2026-10-17T00:35:57Z","board_verified":true,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":53},"description":"Locations Supported\nLondon, UK\n\nRelocation available: No\nWork pattern:Hybrid: our teams meets in the office ~1-2 days a week\nAbout the Opportunity\nEvery transaction we process requires a real-time decision. Declining a legitimate transaction leaves a customer stuck at the point of purchase, while approving a fraudulent one carries a direct cost.\nThis role owns the decisioning system and underlying platform. From the serving path and feature infrastructure to the underlying models and the machinery required to make safe, live updates. You will continuously improve the platform and our day to day workflows, rather than treating these as secondary projects.\nAs a Staff Machine Learning Engineer, you will hold a hands-on technical position. You will be part of a team that builds, ships, and maintains the entire machine learning lifecycle.\nOur main focus is fraud detection and prevention, an adversarial domain where opponents constantly adapt and feedback arrives in the form of financial impact. Alongside, this we build broader capabilities to enable machine learning across Moonpay.\nLead through ambiguity\nTurn vague problems into well-defined solutions and bring people with you.\n\nSet the technical bar through rigorous reviews, clear standards, and lasting engineering habits.\n\nBuild and scale the platform\nDevelop feature infrastructure across batch, near-real-time, and in-request paths, managing specific freshness budgets for each.\n\nMaintain alignment between training and serving to ensure models behave in production exactly as they did offline.\n\nIntegrate feedback loops to capture every decision and its outcome, including blocked transactions where results are counterfactual.\n\nScale the platform as volume and model complexity grow, ensuring operational load remains manageable.\n\nDecide in real time\nOwn the services that score transactions in-flight, inside a hard latency budget\n\nDesign the degraded paths: what we answer when the model can't, and who agreed that policy\n\nShip safely, continuously\nMature the replay, shadow and staged-rollout tooling until changing a live model is routine and reversible\n\nOwn models across their lifecycle, from training through to retirement, and catch decay long before losses confirm it\n\nAbout You\nMust-have experience and skills\nReal-time serving. You have built and operated high-availability services that execute within strict latency budgets on critical paths, and you’ve designed robust fallback mechanisms\n\nSystems thinking. You view the architecture holistically: identifying failure points, managing graceful degradation, and ensuring the system remains responsive even when dependencies fail. You build the feedback loops that allow a system to learn from its own decisions.\n\nEngineering craft. You write code other people are happy to inherit - tested, typed, and correct when events arrive twice, late, or out of order. Adding the next feature to something you built is fast and painless.\n\nPipelines in production. You have owned feature or data pipelines end-to-end, including troubleshooting cases where offline and production metrics diverged and resolving the underlying discrepancies.\n\nAmbiguity and influence. You've taken a problem nobody had scoped and turned it into work that shipped, and raised the level of the engineers around you while doing it.\n\nNice-to-have experience\nDecision explainability. You've built systems where the reason for a decision mattered as much as the decision: audit trails, per-layer attribution, llm-driven analyses, or defending a model's behaviour to a non-technical audience.\n\nAnomaly detection. You have developed systems to detect novel attack patterns and emerging abuse without existing labels, identifying suspicious behavior relative to historical baselines.\n\nFamiliarity with our stack: GCP, BigQuery, Bigtable, Memorystore, Vertex AI, Kubernetes.","description_format":"text","description_chars":3869,"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":["Cryptocurrencies","Crypto Payments","Crypto Wallets"],"lifecycle":[{"event":"open","at":"2026-08-24T15:43:30Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Skilled Worker","cap_exempt":false,"checked_at":"2026-10-16T06:21:30+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":56,"band":"ok","label":"Likely open","p_open":1,"p_active":0.75,"p_room":0.75,"age_days":52,"expected_fill_days":63,"reasons":["conf:2","win:late"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/moonpay-staff-machine-learning-engineer","json_url":"https://alion.io/job/moonpay-staff-machine-learning-engineer.json","meta":{"generated_at":"2026-10-17T01:15:21Z","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":1782,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":2725},"rest":"https://alion.io/mcp/rest/get_company?id=2725"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmoonpay-staff-machine-learning-engineer"},{"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%2Fmoonpay-staff-machine-learning-engineer"},{"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%2Fmoonpay-staff-machine-learning-engineer"},{"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/moonpay-staff-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmoonpay-staff-machine-learning-engineer"}]}