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Senior Machine Learning Engineer (Recommendations/Search)

ASOS
London, GBR
Full-time
Senior
Hybrid
Discovered 4 days ago
pytorchtensorflow

Full Job Posting

BeneFITS’

  • Employee discount (hello ASOS discount!)
  • Employee sample sales
  • 25 days paid annual leave + an extra celebration day for a special moment
  • Discretionary bonus scheme
  • Private medical care scheme
  • Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits
  • Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role
  • We’re ASOS, the online retailer for fashion lovers all around the world.
  • We 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.
  • But 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.
  • Everyone 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.

Qualifications

  • Experience designing, building and deploying machine learning systems in production environments.
  • Strong understanding of machine learning engineering principles and modern software engineering practices.
  • Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow or similar.
  • Experience training and optimising models using large datasets and distributed compute infrastructure.
  • Experience working with recommendation systems, ranking, retrieval, personalisation or related machine learning domains.
  • Knowledge of MLOps practices, including model deployment, monitoring and lifecycle management.
  • Experience building reliable, observable and scalable services in cloud environments.
  • Comfortable providing technical leadership and mentoring other engineers.
  • Strong collaboration and communication skills, with experience working in cross-functional product teams.
  • Curiosity about emerging AI technologies and the practical application of LLMs and generative AI in customer-facing products.

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