{"id":1768666,"url":"https://alion.io/job/asos-senior-machine-learning-engineer-recommendationssearch-3","title":"Senior Machine Learning Engineer (Recommendations/Search)","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":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":14,"computed_at":"2026-10-13T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","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":110000,"max_usd":202000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":34},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-02T16:36:16Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-13T04:22:13Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"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 a Senior Machine Learning Engineer to join our Search and Recommendations team, where we're building the next generation of AI-powered fashion experiences at ASOS.\nOur mission is to help millions of customers discover complete outfits that reflect their personal style, preferences and the latest fashion trends. Sitting within ASOS's Search & Discovery organisation, the team combines recommendation systems, personalisation, deep learning and emerging AI technologies to create new ways for customers to discover fashion beyond traditional ecommerce experiences.\nYou'll work on large-scale machine learning systems powering personalised outfit recommendations, style discovery and intelligent product experiences across the customer journey. From recommendation and retrieval systems to deep learning and generative AI applications, you'll help bring innovative ideas into production and deliver experiences used by millions of customers.\nWorking alongside Machine Learning Scientists, Software Engineers and Product Managers, you'll play a key role in designing, building and operating production ML systems at scale. You'll tackle challenging problems across recommendation systems, personalisation, deep learning and AI-powered outfit generation, helping shape the future of machine learning at ASOS.\nWhat you’ll be doing:\nDesign, build and operate production machine learning systems that power outfit discovery and personalised fashion experiences.\nPartner with Machine Learning Scientists to deploy deep learning models and deliver meaningful customer and business outcomes.\nDeploy and optimise batch and real-time machine learning models serving millions of customers.\nContribute to systems that power recommendations, personalisation and AI-driven fashion discovery experiences across ASOS.\nImprove system performance, reliability, observability and scalability across the machine learning lifecycle.\nContribute to technical design decisions, architecture discussions and engineering best practices.\nMentor and support other engineers through coaching, collaboration and knowledge sharing.\nHelp strengthen technical practices across the team and the wider machine learning community at ASOS.\nContribute to the development of shared machine learning capabilities, tools and best practices used across multiple teams.\n About You\nWe're interested in candidates who bring experience in several of the following areas. We recognise that skills and expertise can be developed through a variety of experiences and career paths.\nExperience designing, building and deploying machine learning systems in production environments.\nStrong understanding of machine learning engineering principles and modern software engineering practices.\nHands-on experience with deep learning frameworks such as PyTorch, TensorFlow or similar.\nExperience training and optimising models using large datasets and distributed compute infrastructure.\nExperience working with recommendation systems, ranking, retrieval, personalisation or related machine learning domains.\nKnowledge of MLOps practices, including model deployment, monitoring and lifecycle management.\nExperience building reliable, observable and scalable services in cloud environments.\nComfortable providing technical leadership and mentoring other engineers.\nStrong collaboration and communication skills, with experience working in cross-functional product teams.\nCuriosity about emerging AI technologies and the practical application of LLMs and generative AI in customer-facing products.\n BeneFITS’\nEmployee discount (hello ASOS discount!) \nEmployee sample sales \n25 days paid annual leave + an extra celebration day for a special moment \nDiscretionary bonus scheme \nPrivate medical care scheme \nFlexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits \nOpportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role","description_format":"text","description_chars":4700,"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":["Commerce","Consumer Goods"],"lifecycle":[{"event":"open","at":"2026-10-03T14:43:11Z"}],"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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