Senior Machine Learning Engineer (Recommendations)
ASOS.com Ltd, City of Westminster
Senior Machine Learning Engineer (Recommendations)
£59824
ASOS.com Ltd, City of Westminster
- Full time
- Permanent
- Onsite working
Posted today, 4 May | Get your application in now to be one of the first to apply.
Closing date: Closing date not specified
Job ref: 423e901b93b241d488e8e81b796eaa8d
Location ref: City of Westminster
Full Job Description
In role, you will a senior IC 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. Our mission is to elevate the fashion experience and ship with high scale ML capabilities. What youll be doing:
- 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 teams technical direction, establish ML standards, and drive quality across ASOSs ML community, while sharing expertise gained from the team
We are looking for a Senior Machine Learning Engineer, with expertise in deep learning, to join our cross-functional Outfits Discovery team., Experience applying machine learning in production settings, with exposure to deep learning techniques and their practical use - Experience working with deep learning and distributed computing frameworks to support largescale models
- Familiarity with training models across multiple GPUs using distributed or parallel approaches, or a strong interest in developing this expertise
- A solid understanding of software development lifecycles and engineering practices, including data pipelines, CI/CD, containerisation and observability, with experience or interest in MLOps tooling
- Comfortable supporting others through technical guidance, mentoring or knowledge sharing, and contributing to wider engineering initiatives across ASOS
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
Direct job link
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