Senior Applied Scientist

London Source: WhatJobs
See advert for pay

Overview

As a Senior Applied Scientist at ASOS, you will lead end-to-end ML initiatives that inform critical business decisions and enhance customer experiences. You’ll shape scientific direction, prototype new approaches, and translate research into scalable solutions working with cross-functional teams. You drive model performance, reliability, and operational impact at scale, shaping ASOS’s AI capabilities and business outcomes. This role offers meaningful impact across multiple domains in a fast-growing, data-driven environment.

Pay / Benefits

  • Employee discount (ASOS discount)
  • Employee sample sales
  • 25 days paid annual leave + extra day
  • Discretionary bonus scheme
  • Private medical care
  • Flexible benefits allowance

Responsibilities

  • Lead design, development and evaluation of ML solutions for complex business challenges
  • Identify opportunities where ML creates measurable value
  • Improve model performance, scalability, reliability and operational impact across various use cases
  • Research and prototype emerging techniques from industry and academia
  • Design robust evaluation frameworks to assess model quality and business impact
  • Write, test and maintain production-quality code with software engineering best practices
  • Collaborate with ML Engineers and Data Engineers to deploy at scale
  • Provide technical leadership on complex initiatives and influence direction
  • Mentor and support other scientists through coaching and code reviews
  • Communicate complex technical concepts to both technical and non-technical stakeholders

Key requirements

  • Experience developing and deploying ML solutions in production environments
  • Applying ML techniques to solve real-world problems
  • Leading design and evaluation of data-driven solutions delivering business value
  • Developing new approaches or adapting research to practical challenges
  • End-to-end ML lifecycle from problem definition to deployment and monitoring
  • Proficiency in Python and frameworks such as PyTorch or TensorFlow
  • Experience with large datasets and distributed data processing
  • Software engineering practices including testing, version control, maintainable code
  • Collaborating with engineers, product teams and stakeholders to deliver production-ready solutions
  • Clear communication of complex concepts to diverse audiences
  • Providing technical leadership, mentoring others and influencing scientific direction
  • Curiosity, pragmatism and sound judgment balancing innovation with business outcomes
  • Effective communication
  • Cross-functional collaboration
  • Mentoring and coaching
  • Python
  • PyTorch
  • TensorFlow

Full job description from WhatJobs. Apply for this role →

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