{"id":3676994,"url":"https://alion.io/job/tesco-software-engineer-machine-learning-mlops","title":"Software Engineer (Machine Learning - MLOps)","company":{"id":1059,"name":"Tesco","domain":"tesco.com","url":"https://alion.io/company/tesco","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":{"grade":"A","score":100,"open_postings":22,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":10,"computed_at":"2026-11-06T05:58:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kraków, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":20000,"max":25000,"currency":"PLN","period":"month","gross":null,"usd_annual":76092},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Computer Vision","optional":false},{"name":"Feature Store","optional":false},{"name":"Git","optional":false},{"name":"Grafana","optional":false},{"name":"Kanban","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Spark","optional":false},{"name":"Splunk","optional":false}],"status":"live","first_seen_at":"2026-11-03T10:13:56Z","employer_posted_date":null,"last_verified_at":"2026-11-03T10:13:56Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"About the role\nWe are looking for a Machine Learning Engineer, to join our growing Data Science Engineering team. You’ll work with other engineers, data scientists, product managers, systems engineers, and analytics professionals to help deliver valuable and innovative outcomes for our customers. You’ll work within and across our Engineering and Data Science teams, delivering scalable products that improve how we serve our customers and run our operations.\nThis role would suit someone with previous experience working as an ML Engineer / Data Science Engineer.\nAbout the Team:\nWithin Tesco Data & Analytics, we help our customers and the communities where we operate get the most value from data. We build and run Tesco’s data platforms, we architect and engineer data onto these platforms, provide capabilities and tools to the analytics community across Tesco, develop data products at scale and maintain existing applications.\nOur Data Science team are involved in a broad range of projects, spanning across supply chain, logistics, store and online. These include projects in the areas of Operations Optimizations, Commercial Decision Support (e.g. Forecasting, Range Optimization, Supply Chain support), Online (e.g. Search and Recommendation) and Intelligent Edge (e.g. Computer Vision). Our Machine Learning Engineers work alongside our data scientists, helping with everything from development of tools and platforms, code optimization through to deployment of solutions on the edge, cloud and big-data environments.\nWhat is in it for you\nHybrid working\nWe know life looks a little different for each of us. That’s why at Tesco, we always welcome chats about different flexible working options. Some people are at the start of their careers, some want the freedom to do the things they love. Others are going through life-changing moments like becoming a career, adapting to parenthood, or something else. So, talk to us throughout your application about how we can support. \nThis role requires you to be based in or near Kraków, as you will spend 60% (3 days) of your week collaborating with colleagues at our office locations or local sites and the rest remotely.\nBenefits\nTesco is a diverse and exciting employer, dedicated to being #aplacetogeton, providing career-defining opportunities to all of our colleagues. If you choose to join our business, we will provide you with (for all):\n\nPermanent contract from the go – as a sign of our trust in your abilities\n\nMacBook as your tool for work\n\nLearning opportunities - certified technical training and learning platforms like Udemy\n\nReferral Bonus\n\nSports activities with a personal trainer in the office\n\nAdditional 4 days of paid leave to support your well-being and family life\n\nUp to 20% yearly salary bonus – based on both individual and business performance\n\nPrivate healthcare (LuxMed)\n\nCafeteria & Multisport\n\nSupporting those, who are not yet eligible for full holiday entitlement, by expanding their pool from 20 to 25 days\n\nIP Tax Deductible Costs\n\nPetHelp – support and care for your pets\n\nIf that sounds exciting, then we'd love to hear from you!\nTesco is committed to celebrating diversity and everyone is welcome at Tesco. As a Disability Confident Employer, we’re committed to providing a fully inclusive and accessible recruitment process, allowing candidates the opportunity to thrive and inform us of any reasonable adjustments they may require. \nYou will be responsible for\nParticipating in group discussions on system design and architecture \n\nWorking with product teams to communicate and translate needs into technical requirements \n\nWorking alongside our Data Scientists, Software Engineers and Product teams across the software lifecycle \n\nDelivering high quality code and solutions, bringing solutions into production \n\nPerforming code reviews to optimize technical performance of data science solutions. \n\nSupporting production systems, resolving incidents, and performing root cause analysis \n\nLook for how we can evolve and improve our technology, processes and practices \n\nSharing knowledge with the immediate engineering team\n\nCollaborate with other teams on more complex initiatives via working groups\n\nImprove and build solutions using GenAI\n\nApplying SDLC practices to create and release robust software \n\nYou will need\nYou come from either an Engineering or Data Science background, with a good understanding of the Data Science Toolkit (Programming, Machine Learning, MLOps etc) and bringing data science solutions into production. You therefore tick the majority of the following points:\n\nKey Requirements:\nA higher degree in engineering, computer science, maths or science.\n\nCustomer focus with the right balance between outcome delivery and technical excellence. The ability to apply technical skills and know-how to solving real world business problems.\n\nDemonstratable experience of building MLOps systems according to the best market standards.\n\nCommercial experience contributing to the success of high impact Data Science projects within complex organisations.\n\nAwareness of emerging MLOps practices and tooling would be an advantage e.g. feature stores and model lifecycle management.\n\nAn analytical mind set and the ability to tackle specific business problems.\n\nExperience with different programming languages and a good grasp of at least one language. The ideal candidate is fluent in Python.\n\nUse of version control (Git) and related software lifecycle tooling.\n\nExperience with tooling for monitoring, logging and alerting e.g. Splunk or Grafana.\n\nUnderstanding of common data structures and algorithms.\n\nExperience working with open-source Data-Science environments.\n\nKnowledge of open source big-data technologies such as Apache Spark.\n\nExperience building solutions that run in the cloud, ideally Azure.\n\nExperience with software development methodologies including Scrum & Kanban.\n\nA background or strong understanding of the retail sector, logistics and/or ecommerce would be advantageous but is not required.\n\nUnsure if you fit all the criteria? Apply and give us the chance to evaluate your potential - you could be the perfect fit!\n\nAbout us\nOur colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues.\nAt Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you.\nTesco is committed to celebrating diversity and everyone is welcome at Tesco. As a Disability Confident Employer, we’re committed to providing a fully inclusive and accessible recruitment process, allowing candidates the opportunity to thrive and inform us of any reasonable adjustments they may require.\nWant to get to know us better? Watch our team talk about our culture – YouTube\nWhat our colleagues like the most at Tesco:\nWe develop our own products\n\nWe make an impact; large scale of operation\n\nAccountability and respect are given to us\n\nWe cooperate and support each other\n\nThere are great colleagues who are divided into small teams here\n\nWe can develop and learn new things\n\nDiscover how our colleagues shape Tesco’s tomorrow.\nTech stack\nMachine Learning\nAirflow\nAzure\nSplunk\nPython\nMLOps\nApache Spark","description_format":"text","description_chars":7503,"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":["Cafeteria","Flexible schedule","Sports activities"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Retail & Shop Systems","Online Groceries"],"lifecycle":[{"event":"open","at":"2026-11-03T11:25:40Z"}],"visa":[],"liveness":{"score":88,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.884,"p_room":1,"age_days":2,"expected_fill_days":10,"reasons":["seen:2","velocity","win:early","comp:brand"],"computed_at":"2026-11-06T05:58:05Z"},"pay":{"stated_usd_annual":76092,"is_top_pay":false},"html_url":"https://alion.io/job/tesco-software-engineer-machine-learning-mlops","json_url":"https://alion.io/job/tesco-software-engineer-machine-learning-mlops.json","meta":{"generated_at":"2026-11-06T23:42:29Z","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":3557,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-07T00:00:00Z"}},"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":1059},"rest":"https://alion.io/mcp/rest/get_company?id=1059"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftesco-software-engineer-machine-learning-mlops"},{"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%2Ftesco-software-engineer-machine-learning-mlops"},{"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%2Ftesco-software-engineer-machine-learning-mlops"},{"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/tesco-software-engineer-machine-learning-mlops\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftesco-software-engineer-machine-learning-mlops"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3676994}},{"tool":"search_jobs","arguments":{"company":"tesco.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3676994},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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