ASOS
Tech / AI / Software
SeniorMachineLearningScientist(Personalisation)
“Senior Machine Learning Scientist (Personalisation) at ASOS. Skills: Machine Learning, Deep Learning, Production ML Systems, Recommendation Systems, Ranking Systems. build and improve algorithms used in areas such as pricing and customer targeting. implement and deploy machine learning solutions at scale”
What You'll Achieve.
continuously improve the customer experience through thoughtful, responsible and high-impact use of machine learning
Industry & Context.
What They're Looking For.
Must Have
Professional experience applying machine learning in real-world, production environments, Experience working with recommendation or ranking systems, Familiarity with modern deep learning frameworks, Familiarity with distributed computing approaches for training large-scale models, Experience training models across GPUs using data and/or model parallelism, A solid understanding of software engineering principles, including data pipelines, CI/CD, containerisation and observability, Exposure to MLOps practices and tooling, Comfortable providing technical guidance, mentoring and support to a small number of less-experienced engineers, Enjoy collaborating across teams and contributing to shared engineering initiatives
Nice to Have
Enthusiasm to deepen your knowledge in training models across GPUs using data and/or model parallelism
What You'll Do.
build and improve algorithms used in areas such as pricing and customer targeting
implement and deploy machine learning solutions at scale
deploy and maintain both batch and real-time machine learning models in production environments
improve and evolve our codebase
tooling and platforms
contribute to the design of new features and capabilities
support and mentor more junior team members
contribute to technical direction
help define machine learning standards
share knowledge across ASOS’s wider ML and engineering community
How You'll Work.
Team & Collaboration
work closely with engineers, data scientists and product partners; collaborating across teams and contributing to shared engineering initiatives
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