Applied Scientist: ML at Scale & Real-World Impact

ASOS.com; Greater London; On-site; GBP 90,000 - 150,000; Full time

Benefits offered by this job

Employee discount

Sample sales

Annual leave + extra day

Private medical care

Fixed annual payment

Job summary

ASOS seeks an Applied Scientist to build ML capabilities powering decisions and experiences across the business. You will design, develop and deploy scalable models working with data engineers, ML engineers, analysts, product managers and stakeholders.

You will influence the scientific direction of our ML capabilities and the products they enable, collaborating across domains and contributing to best practices in ML and experimentation.

Qualifications

• Proficiency in Python and ML frameworks.
• Experience deploying ML models to production.
• Ability to work with large datasets and distributed systems.

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

Python

PyTorch

TensorFlow

Distributed data processing

MLOps

Cloud platforms

Communication

Production deployment

Experiment design

Software engineering

Tools

Git

Docker

Kubernetes

CI/CD

Job description

ASOS seeks an Applied Scientist to build ML capabilities powering decisions and experiences across the business. You will design, develop and deploy scalable models working with data engineers, ML engineers, analysts, product managers and stakeholders.

You will influence the scientific direction of our ML capabilities and the products they enable, collaborating across domains and contributing to best practices in ML and experimentation.