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.

Developing and deploying machine learning models in production environments.
Applying statistics, analytics and machine learning techniques to solve complex business problems.
Experience in one or more of the following areas: Developing and applying machine learning solutions to solve complex business problems.
Building predictive models, intelligent systems or decision-support capabilities using large-scale data.
Translating research, experimentation and analytical insights into production-ready solutions.
Designing and evaluating models using appropriate performance, business and customer impact measures.
Working across the end-to-end machine learning lifecycle, from problem definition and experimentation through to deployment and monitoring.
Applying quantitative, statistical or optimisation techniques to support decision-making and product development.
Proficiency in Python and modern machine learning frameworks such as PyTorch, TensorFlow or similar.
Experience working with large datasets and distributed data processing systems.
Strong software engineering practices, including testing, version control and maintainable code.
Ability to communicate technical concepts to both technical and non-technical audiences.
Curiosity, pragmatism and a willingness to learn, experiment and share knowledge.
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 evidence of staying current with developments in machine learning and AI.

Employee discount (hello ASOS discount!)
Employee sample sales
25 days paid annual leave + an extra celebration day for a special moment
Private medical care scheme
Fixed Annual Payment in addition to your salary each year, it's just an extra thank you from us
Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role

ASOS is hiring an Applied Scientist