{"id":101756,"url":"https://alion.io/job/worldpay-ml-software-engineering-lead","title":"ML Software Engineering Lead","company":{"id":13762,"name":"Worldpay","domain":"worldpay.com","url":"https://alion.io/company/worldpay","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":30,"ghost_share":0,"stale_share":0.633,"repost_share":0.067,"time_to_fill_p50_days":21,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","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":85000,"max_usd":166000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":46},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Incident Management","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true}],"status":"live","first_seen_at":"2026-07-06T00:00:00Z","employer_posted_date":"2026-07-06","last_verified_at":"2026-10-15T19:18:51Z","board_verified":true,"closed_at":null,"days_open":103,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":103},"description":"Ready to take your career global?\nWe are seeking an experienced and visionary ML Software Engineering Lead to serve as the technical and functional leader for the Data Science Enablement engineering function, which owns the production development and ongoing operations of high-profile ML products.\nWhile you will have no direct people-management responsibilities, you will be accountable for the technical strategy, operational maturity, engineering standards, platform capabilities, and long-term effectiveness of the ML software engineering practice. You will balance strategic leadership with hands-on technical contribution, dividing your time between setting technical direction and actively participating in architecture, design reviews, code reviews, and selected implementation efforts.\nIn this strategic role, you will collaborate closely with product, data science, platform engineers, and other product delivery teams to translate ML models and data-driven algorithms into robust, scalable, and low-latency production solutions. You will inherit a high-impact ML product portfolio with a mandate to grow and mature our capabilities to meet expanding business and technical needs.\nWhat you’ll own\nStrategy and vision:\nDefine the technical vision and strategy for ML software engineering initiatives, aligning them with business goals.\n\nDevelop scalable capabilities to power real-time decisioning engines throughout the payment lifecycle and beyond.\n\nEnable rapid experimentation while ensuring robust, scalable, and secure deployment of ML solutions.\n\nEngineering and operational excellence:\nEstablish and evolve engineering standards, operating practices, and technical governance.\n\nMentor engineers, provide technical coaching, and promote technical excellence.\n\nChampion collaboration, continuous improvement, and knowledge sharing.\n\nDrive alignment across teams through technical influence, architectural guidance, and shared engineering standards rather than direct management authority.\n\nIdentify capability gaps and drive improvements to tooling, automation, observability, and operational processes.\n\nDrive consistency in engineering practices and operational processes across teams delivering and supporting ML-powered products.\n\nEstablish operational standards for production ML systems, including reliability objectives, observability, incident management, and support processes.\n\nTechnical leadership and contribution:\nGuide the architecture, implementation, deployment, and operation of ML products and reusable components.\n\nEnsure systems and components meet requirements for scalability, latency, explainability, and regulatory compliance.\n\nEstablish and promote best practices for ML software engineering. Stay abreast of industry trends and emerging technologies to drive adoption of modern tools, frameworks, and infrastructure.\n\nContribute to QA and code as needed.\n\nCross-functional collaboration:\nPartner closely with research-focused data science teams, business stakeholders, infrastructure support teams, data engineering teams, security/compliance teams, etc. to identify opportunities and incorporate ML into products and systems.\n\nCollaborate with other data science and engineering leaders to establish an operating model for machine learning R&D that optimizes end-to-end delivery of business value.\n\nCommunicate complex technical concepts to non-technical stakeholders effectively.\n\nWhat you’ll bring\nBachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field (PhD a plus).\n\n7+ years of ML software engineering, ML ops, ML engineering, or ML research experience.\n\n5+ years of experience deploying large-scale, real-time ML models in customer-facing, production environments, including significant experience hands on.\n\n2+ years of technical leadership experience on an early-stage ML software engineering team.\n\n2+ years of data science research experience.\n\nProven experience developing microservices at scale (API design, monitoring, deployment strategies, containerization) in a cloud environment (preferably AWS and DataBricks).\n\nStrong understanding of the data science/ML research process.\n\nStrong understanding of software engineering, MLOps, and DevOps best practices.\n\nStrong Python skills, including in relevant libraries such as Pandas, NumPy, scikit-learn.\n\nProficiency in SQL and NoSQL databases.\n\nExcellent communication, leadership, and stakeholder management skills.\n\nIt’s a bonus if you have\nExperience in a merchant acquiring, payment service provider, or card network environment.\n\nFamiliarity with tokenization, real-time payments, and the authorization lifecycle.\n\nExperience in a large, complex organization in a highly regulated industry.\n\nExperience working in an agile environment.\n\nWhy join us?\nImpact: Play a key role as the technical owner of high-profile ML products delivering meaningful business impact to merchants and advancing key pillars of the company’s strategy. Your work will directly influence the reliability, scalability, and evolution of critical production systems.\n\nAutonomy: Take end-to-end technical ownership of your product area, with the freedom and responsibility to drive technical solutions, shape best practices, and deliver results in a fast-paced, supportive environment.\n\nCollaboration: Join a cross-functional, high-performing team where your expertise is valued and your contributions make a real difference.\n\nAbout the team\nOur inclusive and global teams win together every day. We’re proud to have the best minds in the industry, who you can learn from as you grow your career. The people, the energy, the connections - it’s unmatched. Come and be part of an ever-evolving company and get dynamic opportunities that go beyond borders.\nWhat makes a Globalpayer?\nGlobalpayers think like a client, act like an owner and win as one team. We’re curious and innovative - always finding better ways to deliver impact. We empower each other to make decisions, and it’s our passion that drives excellence in everything we set out to do.\nDoes this sound like you? Then you sound like a Globalpayer. Apply now to take your career global.","description_format":"text","description_chars":6178,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Payment Processing & Gateways"],"lifecycle":[{"event":"open","at":"2026-07-06T00:00:00Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Skilled Worker, Senior or Specialist Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Skilled Worker; Global Business Mobility: Senior or Specialist Worker","cap_exempt":false,"checked_at":"2026-10-17T06:21:15+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.236,"p_room":0.28,"age_days":103,"expected_fill_days":21,"reasons":["conf:34","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/worldpay-ml-software-engineering-lead","json_url":"https://alion.io/job/worldpay-ml-software-engineering-lead.json","meta":{"generated_at":"2026-10-17T12:48:28Z","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":17061,"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":13762},"rest":"https://alion.io/mcp/rest/get_company?id=13762"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fworldpay-ml-software-engineering-lead"},{"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%2Fworldpay-ml-software-engineering-lead"},{"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%2Fworldpay-ml-software-engineering-lead"},{"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/worldpay-ml-software-engineering-lead\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fworldpay-ml-software-engineering-lead"}]}