Senior MLOps Engineer

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. We’re proud members of Inclusive Companies and have signed the Business in the Community Race at Work Charter. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you.

We are looking for a Senior Machine Learning Engineer, with expertise in deep learning, to join our growing ML community at ASOS. You will be a senior individual contributor who will be productionising machine learning systems across that help our customers discover and shop complete outfits that resonate with both their personal style and current fashion trends.

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• You will be part of an agile, cross-functional team building and improving our causal algorithms for the pricing and customer targeting space.
  
• You will be working alongside scientists in driving the implementation and deployment of at-scale solutions for our hundreds of millions of customers/products, creating measurable impact across the business.
  
• You will be deploying batch and online machine learning models at high scale.
  
• You will be continually developing and improving our code and technology, taking an active role in the conception of brand-new features.
  
• You will be mentoring and coaching junior members of the team, supporting their technical progress.
  
• You will contribute to the team's technical direction, establish ML standards, and drive quality across ASOS's ML community, while sharing expertise gained from the team.
  

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• You have professional experience in machine learning with expertise in deep learning methods and their practical applications in production environments.
  
• You possess mastery of deep learning frameworks and distributed computing frameworks for implementing large-scale deep learning models.
  
• You have proven ability to create and manage multi-instance clusters for distributed and parallel training across GPUs, demonstrating proficiency in data and model parallelism techniques.
  
• You have strong understanding of software development lifecycles and engineering practices (Data pipelines, CI/CD, containerisation, observability) - specifically ML Ops principles, techniques and tooling.
  
• You’re comfortable providing technical leadership, mentoring, and coaching to more 1-2 junior engineers. You will contribute to wider engineering initiatives across ASOS.
  

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• Employee discount (hello ASOS discount)
  
• ASOS Develops (personal development opportunities across the business)
  
• Employee sample sales
  
• Access to a huge range of LinkedIn learning materials
  
• 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