{"id":2936203,"url":"https://alion.io/job/asos-applied-scientist-2","title":"Applied Scientist","company":{"id":39790,"name":"ASOS","domain":"asos.com","url":"https://alion.io/company/asos","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":16,"computed_at":"2026-10-28T05:59:10Z"}},"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":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":75000,"max_usd":201000,"period":"year","method":"role_country_seniority_unknown","sample_n":168},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-05T15:01:47Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-28T12:31:21Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":22},"description":"We’re ASOS, the online retailer for fashion lovers all around the world.\nWe exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions.\nBut how are we showing up? We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list.\nEveryone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you.\n We're looking for an Applied Scientist to join the team - whose mission is to build machine learning capabilities that power better decisions, experiences and outcomes across ASOS.\nYou'll work on challenging real-world machine learning problems, developing scalable models and intelligent systems that support a range of business domains.\nAs an Applied Scientist, you'll work alongside data engineers, ML engineers, analysts, product managers and business stakeholders to design, develop and deploy machine learning solutions at scale. You'll have the opportunity to influence both the scientific direction of our ML capabilities and the products they enable.\nKey Responsibilities\nDesign, develop and deploy machine learning models and data-driven solutions in production environments.\nApply machine learning and optimisation techniques to solve complex business problems.\nPartner with engineers to productionise models and build reliable, scalable ML systems.\nDesign and analyse experiments and evaluation frameworks to measure model performance and business impact.\nExplore, evaluate and prototype new approaches from both industry and academia.\nWork closely with product and business stakeholders to identify opportunities where machine learning can create value.\nContribute to the team's technical and scientific direction through knowledge sharing, code reviews and collaboration.\nHelp shape best practices in machine learning, experimentation and applied research across the organisation.\n About You\nYou'll enjoy applying machine learning to large-scale, real-world challenges and translating research into production systems that deliver measurable impact.\nWe'd be particularly interested in candidates who bring experience in some of the following areas:\nDeveloping and deploying machine learning models in production environments.\nApplying statistics, analytics and machine learning techniques to solve complex business problems.\nExperience in one or more of the following areas:Developing and applying machine learning solutions to solve complex business problems.\nBuilding predictive models, intelligent systems or decision-support capabilities using large-scale data.\nTranslating research, experimentation and analytical insights into production-ready solutions.\nDesigning and evaluating models using appropriate performance, business and customer impact measures.\nWorking across the end-to-end machine learning lifecycle, from problem definition and experimentation through to deployment and monitoring.\nApplying quantitative, statistical or optimisation techniques to support decision-making and product development.\n\nProficiency in Python and modern machine learning frameworks such as PyTorch, TensorFlow or similar.\nExperience working with large datasets and distributed data processing systems.\nStrong software engineering practices, including testing, version control and maintainable code.\nAbility to communicate technical concepts to both technical and non-technical audiences.\nCuriosity, pragmatism and a willingness to learn, experiment and share knowledge.\nExperience bringing ML products from ideation through to production.\nExperience working in fast-paced, product-driven environments.\nFamiliarity with cloud-native ML platforms and MLOps practices.\nPublications, open-source contributions or evidence of staying current with developments in machine learning and AI.\n BeneFITS’\nEmployee discount (hello ASOS discount!) \nEmployee sample sales \n25 days paid annual leave + an extra celebration day for a special moment \nPrivate medical care scheme \nFixed Annual Payment in addition to your salary each year, it's just an extra thank you from us \nOpportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role","description_format":"text","description_chars":4503,"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":["Annual leave"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["E-commerce Platforms","Apparel & Fashion Brands"],"lifecycle":[{"event":"open","at":"2026-10-20T16:08:17Z"}],"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; 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