{"id":141103,"url":"https://alion.io/job/checkout-com-staff-aiml-engineer","title":"Staff Engineer, AI/ML","company":{"id":51355,"name":"Checkout.com","domain":"checkout.com","url":"https://alion.io/company/checkout-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":92,"open_postings":18,"ghost_share":0,"stale_share":0.278,"repost_share":0.056,"time_to_fill_p50_days":47,"computed_at":"2026-10-17T05:46:00Z"}},"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":165000,"max_usd":272000,"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":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Hugging Face","optional":false},{"name":"Kubernetes","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Transformers","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-07-16T13:59:54Z","employer_posted_date":"2026-07-16","last_verified_at":"2026-10-17T23:25:20Z","board_verified":true,"closed_at":null,"days_open":93,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":93},"description":"Company Description\nWe’re Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. \nWe are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. \nWhether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. \nIf you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. \nWith 20 offices across six continents and London as our HQ, we’re shaping the future of fintech - and we’re just getting started.\nThere are a myriad of opportunities to use AI / ML as part of business processes in checkout, and we’re looking for an expert to help us make these a reality. Unlike many such roles, this is an opportunity to truly drive innovation at scale that matters.\nWe’re looking for a Staff Level AL / ML engineer to accelerate our adoption into the AI era; helping us set our AI vision and show us what is possible.\nAs part of the Data and AI platform team; you’ll get to pioneer on real world problems, bringing your knowledge of AI / ML, MLOps and LLMs to bear - collaborating cross team to make your vision a reality. You’ll be backed by our platform team, and have a wealth of experience to draw on, but we want someone who’ll blaze a trail; operating on the bleeding edge.\nHow you’ll make an impact:\nCollaborate with teams to research, scope, and validate use cases for AI that drive business value and innovation.\n\nDrive AI adoption by combining rigorous scientific evaluation with the operational maturity to champion high-value applications and confidently push back on unsuitable AI use cases.\n\nDesign, refine and build MLOps component of the data and AI platform, from Vector Databases through feature stored and model serving, all at the millisecond scale.\n\nImplement CI/CD pipelines and ensure adherence to best practices for model deployment, security, and compliance with global regulations.\n\nWork as part of our AI / ML guild; having a voice and being a driving force behind new approaches and use cases.\n\nContinuously monitor and optimise system performance to ensure scalability, security, and operational efficiency.\n\nWhat we’re looking for:\nProficiency in Python (and at least one other language a plus). Experience with key libraries such as PyTorch, Pandas, Hugging Face Transformers, or similar AI toolkits.\n\nWorking knowledge of common models, and their use cases and experience applying them to solve specific problems.\n\nSolid engineering skills, including designing and implementing services / data models and features.\n\nExpertise with cloud computing platforms (AWS, GCP, or Azure) and containerisation tools (e.g., Docker, Kubernetes).\n\nExpertise with modern data platforms (e.g., BigQuery / Databricks) and data processing workflows (ETL, pipelines).\n\nExcellent experience with cloud hosted AI platforms (Bedrock, Sagemaker, VertexAI)\n\nStrong problem-solving abilities, with the capacity to learn quickly and adapt in a fast-paced environment.\n\nExcellent communication and a drive to work effectively across diverse teams.\n\nWe also want to hear if you have:\nExperience developing AI / ML applications, including fine-tuning models or creating prototypes.\n\nAwareness of ethical considerations and emerging best practices in AI governance.\n\nTrack record of developing rapid prototypes, and bringing them to production with a focus on measurable ROI.\n\nFamiliarity with distributed systems and large-scale data processing.\n\nContributions to open-source projects or a strong GitHub portfolio.\n\nThought leadership, any articles or talks you’ve given?\n\nHigh levels of technical curiosity and an eagerness to learn new platforms\n\nAdditional information:\nHybrid Working Model: All of our offices globally are onsite 3 times per week (Tuesday, Wednesday, and Friday). We’ve worked towards enabling teams to work collaboratively in the same space, while also being able to partner with colleagues globally. During your days at the office, we offer amazing snacks, breakfast, and lunch options in all of our locations.\n\nAdditional Information\nBring all of you to work\nWe create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.\nHere, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.\nWe work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.\nIt’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.\nLife atCheckout.com\nWe understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.\nCurious about what it’s like to be part of our team? Visit ourCareers Page to learn more about our culture, open roles, and what drives us.\nFor a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram","description_format":"text","description_chars":5702,"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":["Hybrid work"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Payment Processing & Gateways"],"lifecycle":[{"event":"open","at":"2026-07-16T13:59:54Z"}],"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":24,"band":"cold","label":"Long shot","p_open":1,"p_active":0.672,"p_room":0.36,"age_days":92,"expected_fill_days":47,"reasons":["conf:1","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/checkout-com-staff-aiml-engineer","json_url":"https://alion.io/job/checkout-com-staff-aiml-engineer.json","meta":{"generated_at":"2026-10-18T02:18:07Z","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":3780,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"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":51355},"rest":"https://alion.io/mcp/rest/get_company?id=51355"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcheckout-com-staff-aiml-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%2Fcheckout-com-staff-aiml-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%2Fcheckout-com-staff-aiml-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/checkout-com-staff-aiml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcheckout-com-staff-aiml-engineer"}]}