{"id":1310639,"url":"https://alion.io/job/hm-group-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":3700,"name":"H&M Group","domain":"hmgroup.com","url":"https://alion.io/company/hmgroup","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":86,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":13,"computed_at":"2026-09-27T05:45:00Z"}},"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":["Stockholm, Sweden"],"countries":["SE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":86000,"max_usd":184000,"period":"year","method":"role_country_seniority_unknown","sample_n":9},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Python","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-09-26T15:34:01Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-09-27T23:55:28Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"WHAT YOU’LL DO:\nImplement, test and maintain AI/ML solutions that ensure reliable, scalable, and high-quality production-grade deliveries. \nContribute to the design and refinement of AI/ML features and services in collaboration with more experienced engineers. \nParticipate in development activities such as code reviews, testing, and monitoring to ensure product quality, maintainability, and performance. \nTroubleshoot and resolve software, infrastructure, or data-related issues within existing AI/ML solutions. \nCollaborate with peers and stakeholders to clarify requirements and translate business needs into technical implementation tasks. \nContribute to continuous improvement initiatives by suggesting enhancements to processes, tooling and engineering best practices. \nStay updated on emerging AI/ML technologies, tools, and ways of working to continuously strengthen engineering capabilities. \nWHO YOU’LL WORK WITH\nYou will be part of a cross-functional product team with other ML engineers, data scientists, data analysts and product manager, as well as collaborating with business stakeholders, solution architects and engineering manager(s) in order to build and enhance AI-powered solutions that drive innovation and efficiency across H&M.\nWHO YOU ARE\nWe are looking for people with…\nStrong Python programing skills and experience with tools, frameworks and technologies relevant to AI/ML development. \nSolid understanding of software engineering principles, testing methodologies, and best practices for building maintainable software solutions. \nExperience with cloud technologies and cloud-based AI/ML development, preferably on GCP and with Vertex AI. \nThorough understanding of AI/ML algorithms, development lifecycle, MLOps practices and production-grade AI/ML solution development. \nStrong problem-solving skills and ability to troubleshoot software, infrastructure, and data-related issues. \nPractical experience in working with version control systems such as Git and Agile development practices. \nAnd people who have\nStrong collaboration and communication skills, with the ability to work effectively across cross-functional teams and communicate technical topics to both technical and non-technical stakeholders. \nAbility to contribute to requirement analysis and translate business needs into technical implementation tasks together with more experienced engineers. \nAbility to independently drive implementation work, while also understanding when to seek support, alignment or escalation when needed. \nAttention to quality, maintainability and engineering standards in delivered AI/ML solutions, with a mindset focused on continuous improvement. \nProactive and curious mindset with passion for technology, innovation and continuously strengthening team efficiency, engineering culture and ways of working. \nWHO WE ARE\nH&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make.\nWe are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future.\nWHY YOU’LL LOVE WORKING HERE\nWe offer all our employees at H&M Group attractive benefits with extensive development opportunities around the globe. All our employees receive a staff discount card, usable on all our H&M Group brands in stores and online. Brands covered by the discount are H&M (Beauty and Move included), COS, Weekday, Monki, H&M HOME, & Other Stories, ARKET. In addition to our staff discount, all our employees are included in our H&M Incentive Program - HIP. You can read more about our H&M Incentive Program here.\nIn addition to our global benefits, all our local markets offer different competitive perks and benefits. Please note that they may differ between employment type and countries.\nJOIN US\nOur uniqueness comes from a combination of many things - our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it’s our people who make us who we are.\nTake the next step in your career together with us. The journey starts here.\n*We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application.","description_format":"text","description_chars":4563,"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":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Sweden","iso":"SE","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Apparel & Fashion Brands","Home Decor"],"lifecycle":[{"event":"open","at":"2026-09-26T15:51:14Z"}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":0,"expected_fill_days":13,"reasons":["conf:6","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/hm-group-machine-learning-engineer","json_url":"https://alion.io/job/hm-group-machine-learning-engineer.json","meta":{"generated_at":"2026-09-28T05:10:58Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3384,"day_limit":5000,"remaining_today":1616,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}