Senior Machine Learning Engineer (Personalisation)

ASOS
London
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Technical leadership","Mentoring","Collaboration","Communication","Problem-solving"]

Join the Search & Recommendations team to design, build, and operate production machine learning systems that power search, ranking, and personalised shopping experiences. You’ll develop and deploy batch and real-time models using signals from millions of customer interactions, improving capabilities like Similar Items and People Also Viewed. Work cross-functionally with Applied Scientists, engineers, and Product Managers, providing technical leadership through mentoring and knowledge sharing.

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FursaFursa
ASOS
ASOS
2 days ago

Senior Machine Learning Engineer (Personalisation)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live
Reposted: similar role first listed 1 week ago

Job Summary

Join the Search & Recommendations team to design, build, and operate production machine learning systems that power search, ranking, and personalised shopping experiences. You’ll develop and deploy batch and real-time models using signals from millions of customer interactions, improving capabilities like Similar Items and People Also Viewed. Work cross-functionally with Applied Scientists, engineers, and Product Managers, providing technical leadership through mentoring and knowledge sharing.
Location: London
Workplace: Hybrid
Employment Type: Full time · Permanent
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, and improve machine learning systems that power search, ranking, and recommendation experiences.
  • •Collaborate with Applied Scientists and engineers to develop and deploy ML solutions that deliver customer and commercial value.
  • •Build, deploy, and maintain batch and real-time machine learning models in production environments.
  • •Contribute to recommendation, ranking, and personalisation capabilities used across millions of customer interactions daily.
  • •Support and mentor other engineers, contributing to the team’s technical direction and ML standards.

Pay and Benefits

Perks:Employee DiscountAnnual LeavePrivate MedicalAnnual BonusLearning BudgetSample SalesFlexible Benefits

Key Requirements

  • •Experience applying machine learning and deep learning techniques in production environments.
  • •Experience using deep learning frameworks and distributed computing technologies to build and deploy large-scale machine learning models.
  • •Experience working with distributed training infrastructure, GPU-based training environments, and parallelisation approaches.
  • •Strong understanding of software engineering principles, development lifecycles, and MLOps practices.
  • •Comfortable providing technical leadership, mentoring, and support to other engineers.
Experience:Recommendation systemsSearchRankingPersonalisationDeep learningMachine learning
Skills:Technical leadershipMentoringCollaborationCommunicationProblem-solving
Languages:English (UK)
Tech Stack:Machine learningDeep learningRecommendation systemsRanking modelsPersonalisationDistributed computingMLOpsGPU-based trainingParallelisationBatch modelsReal-time models

Company Brief

ASOS
ASOS plc is a UK-based online fashion and beauty retailer selling thousands of branded and own-label products worldwide through its e-commerce platform, targeting young adult customers with fast-fashion, marketplace third-party brands, and integrated logistics and marketing services.
Industry: E-commerce
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: London, United Kingdom
Founded: 2000
Glassdoor
Glassdoor: 3.4
WebsiteLinkedInGlassdoor