Applied Scientist: Scale ML in Production & Drive Impact

ASOS

England

On-site

GBP 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Employee discount
Employee sample sales
25 days annual leave + extra day
Private medical care
Fixed annual payment
Personalised learning opportunities

Job summary

ASOS is seeking an Applied Scientist to design, develop and deploy machine learning models that power decisions and customer experiences at scale. You’ll work with data engineers, ML engineers, analysts and product managers to translate research into production systems.

The role requires hands-on experience with Python and ML frameworks (PyTorch, TensorFlow), large datasets, distributed processing, and modern software engineering practices.

Qualifications

  • Experience in developing and deploying ML models in production.
  • Applying statistics, analytics and ML techniques to solve complex business problems.
  • Proficiency in Python and modern ML frameworks.
  • Experience with large datasets and distributed data processing systems.
  • Strong software engineering practices, including testing and version control.
  • Ability to communicate technical concepts to both technical and non-technical audiences.
  • Experience bringing ML products from ideation through to production.
  • Experience working in fast-paced, product-driven environments.
  • Familiarity with cloud-native ML platforms and MLOps practices.
  • Publications, open-source contributions or ongoing learning.

Responsibilities

  • Design, develop and deploy machine learning models and data-driven solutions in production environments.
  • Apply machine learning and optimisation techniques to solve complex business problems.
  • Partner with engineers to productionise models and build reliable, scalable ML systems.
  • Design and analyse experiments and evaluation frameworks to measure model performance and business impact.
  • Explore, evaluate and prototype new approaches from both industry and academia.
  • Work closely with product and business stakeholders to identify opportunities where machine learning can create value.
  • Contribute to the team's technical and scientific direction through knowledge sharing, code reviews and collaboration.
  • Help shape best practices in machine learning, experimentation and applied research across the organisation.

Skills

Communication
Analytical thinking
Problem solving
Team collaboration
Adaptability
Learning ability

Tools

Python
PyTorch
TensorFlow
Cloud-native ML platforms
MLOps
Version control
Testing

Job description

ASOS is seeking an Applied Scientist to design, develop and deploy machine learning models that power decisions and customer experiences at scale. You’ll work with data engineers, ML engineers, analysts and product managers to translate research into production systems.

The role requires hands-on experience with Python and ML frameworks (PyTorch, TensorFlow), large datasets, distributed processing, and modern software engineering practices.

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