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ASOS

Senior Applied Scientist

Location:  London, United Kingdom
Location flexibility:  3 office days / week – may vary across teams (tech teams 3 days at home)
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ASOS

Applied Scientist

London, UK

#2 MOST LOVED - MID-SIZE COMPANIES

ASOS

Senior Applied Scientist

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Job Description

Company Description

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.

Everyone needs some help showing up as their best self. We're Disability Confident Committed - let our Talent team know if you need any reasonable adjustments throughout the recruitment process

Job Description

We're looking for a Senior Applied Scientist to join the team – whose mission is to build machine learning capabilities that power critical business decisions, products and customer experiences across ASOS.

You'll work on complex, high-impact machine learning challenges, developing scalable solutions that can be applied across a range of business domains. As we continue to expand our AI capabilities, you'll play a key role in shaping scientific approaches, identifying new opportunities for machine learning, and translating research into practical solutions that deliver measurable value.

As a Senior Applied Scientist, you'll provide technical leadership across initiatives, partnering closely with ML Engineers, Data Engineers, Analysts, Product Managers and business stakeholders to design, develop and deploy machine learning solutions at scale. You'll help shape both our scientific direction and the machine learning capabilities that underpin our products and decision-making.

Responsibilities

  • Lead the design, development and evaluation of machine learning solutions for complex business challenges.
  • Identify opportunities where machine learning can create measurable value.
  • Drive improvements in model performance, scalability, reliability and operational impact across a range of use cases.
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  • Research, evaluate and prototype emerging approaches from industry and academia, identifying opportunities to enhance existing capabilities.
  • Design robust evaluation frameworks to assess model quality, customer outcomes and business impact.
  • Write, test and maintain production-quality code, applying software engineering best practices to support scalable and maintainable solutions.
  • Partner closely with ML Engineers and Data Engineers to ensure solutions can be deployed and operated effectively at scale.
  • Provide technical leadership on complex initiatives, influencing scientific direction and technical decision-making.
  • Mentor and support other scientists through coaching, code reviews, knowledge sharing and technical guidance.
  • Communicate complex technical concepts and recommendations clearly to both technical and non-technical stakeholders.
  • Qualifications

    You'll likely bring experience in some of the following areas:

    • Developing and deploying machine learning solutions in production environments.
    • Applying machine learning techniques to solve complex real-world problems.
    • Leading the design and evaluation of data-driven solutions that deliver measurable business value.
    • Developing new approaches or adapting research and emerging technologies to practical business challenges.
    • Working across the end-to-end machine learning lifecycle, from problem definition and experimentation through to deployment and monitoring.
    • Proficiency in Python and modern machine learning frameworks such as PyTorch, TensorFlow or similar technologies.
    • Experience working with large datasets and distributed data processing environments.
    • Applying software engineering best practices including testing, version control and developing maintainable, reproducible code.
    • Collaborating effectively with engineers, product teams and business stakeholders to deliver production-ready solutions.
    • Communicating complex technical concepts clearly to technical and non-technical audiences.
    • Providing technical leadership, mentoring others and influencing scientific direction across projects.
    • Curiosity, pragmatism and sound judgement when balancing innovation with business outcomes.

    Additional Information

    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

    Working at ASOS

    3 office days / week – may vary across teams (tech teams 3 days at home)

    A little flex time

    Company employees:

    3,000

    Gender diversity (m:f):

    35:65

    Hiring in countries

    United Kingdom

    Office Locations

    Company benefits

    25 days annual leave + bank holidays
    401K
    Accrued annual leave – Max 5 days to carry over
    Adoption leave – 26 weeks enhanced pay
    Annual bonus
    Annual pay rises
    Bike parking
    Birthday off
    Buy or sell annual leave
    Cinema discounts
    Coffee discounts
    Company freebies
    Compassionate leave
    Critical Illness Insurance
    Dental coverage
    Early finish Fridays
    Emergency leave
    Employee assistance programme
    Employee discounts
    Enhanced maternity leave – 26 weeks enhanced pay
    Enhanced paternity leave – 8 weeks enhanced pay
    Enhanced pension match/contribution
    Enhanced sick days
    Enhanced sick pay
    Eye Care Support
    Faith rooms
    Family health insurance
    Fertility benefits
    Financial coaching
    Further education support
    Gym membership
    Hackathons
    Health insurance
    Hertility subscription
    In house training
    On-site catering
    On-site massages
    On-site workout classes
    On-site yoga classes
    Learning platform
    Life assurance
    Mental health first aiders
    Mental health platform access – Access to EAP (Unum)
    Mentoring
    Neonatal leave – 16 weeks leave
    On-site gym
    On-site wellness room
    Open to compressed hours
    Open to part time work for some roles
    Open to part-time employees
    Personal development days
    Pregnancy loss leave – 10 days paid leave
    Private GP service
    Professional subscriptions
    Referral bonus
    Religious celebration leave
    Restaurant discounts
    Sabbaticals
    Salary sacrifice
    Shared parental leave – 26 weeks enhanced pay
    Skilled worker visas
    Study support
    Teambuilding days
    Time off in-lieu
    Travel loan
    Volunteer days
    Summer hours
    Secure on-site parking
    Modern office
    Private booths
    Collaboration spaces
    On-site barista
    On-site shower
    On-site personal trainer
    Carer’s leave
    Fertility treatment leave
    Women’s health leave
    Menopause support

    Awards & Accreditations

    2nd – Most loved - Medium companies

    2nd – Most loved - Medium companies

    Flexa awards 2026