Senior Machine Learning Engineer (CustomerMarketing)

At ASOS machine learning is a core part of how millions of customers discover products engage with our brand and shop every day.

Were looking for a Senior Machine Learning Engineer to join our Customer & Martech this role youll help build and scale machine learning products that support customer growth marketing effectiveness pricing and personalisation.

You will work with some of ASOSs richest datasets including customer behaviour transactions marketing interactions and product data turning these into production-grade machine learning systems that deliver measurable value for customers and the business.

Working alongside Applied Scientists Data Engineers and Machine Learning Engineers youll contribute across the full lifecycle of machine learning products from ideation and experimentation through to deployment monitoring and optimisation.

Whether improving customer retention optimising marketing investment supporting intelligent pricing decisions or helping build the next generation of customer experiences youll work on complex challenges at significant scale.

What youll be doing:

• Design build and operate machine learning systems that support customer engagement marketing effectiveness pricing and commercial decision-making.
• Own the end-to-end engineering lifecycle of machine learning products including data ingestion feature engineering deployment monitoring and optimisation.
• Productionise advanced machine learning solutions and ensure they operate reliably at ASOS scale.
• Partner closely with Applied Scientists to translate research and experimentation into scalable production systems.
• Help shape the future of our MLOps platform by contributing to engineering best practices operational excellence and platform capabilities.
• Build reusable tooling frameworks and infrastructure that accelerate machine learning delivery and reduce operational overhead.
• Influence technical direction and architectural decisions across machine learning products and platforms.
• Mentor colleagues and support high standards of engineering quality reliability and scalability.

This is an opportunity to work on machine learning products used by millions of customers leveraging rich datasets across customer behaviour marketing pricing and ecommerce. Youll collaborate with Applied Scientists Machine Learning Engineers and Data Engineers to solve complex challenges at the intersection of machine learning software engineering and large-scale data systems while seeing the direct impact of your work on customer experience and commercial outcomes. Youll also help shape the future of ASOSs machine learning platform and engineering standards in an environment where machine learning is a core business capability.

Qualifications :

We recognise that people may not meet every requirement listed above. If your experience is relevant to the role and you believe you could contribute to the team we encourage you to apply.

• Experience building deploying and operating machine learning systems in production environments.
• Strong software engineering fundamentals including expertise in Python and modern engineering practices.
• Experience building scalable batch and real-time machine learning pipelines in cloud environments.
• Strong understanding of MLOps principles including model deployment monitoring CI/CD observability and operational excellence.
• Experience working with large-scale data processing technologies such as Spark.
• Strong understanding of machine learning frameworks such as PyTorch TensorFlow XGBoost or similar technologies.
• Experience designing reliable APIs services and platforms that support machine-learning-powered products.
• Ability to work through ambiguity and lead complex technical initiatives.
• Experience in customer intelligence marketing optimisation pricing forecasting or personalisation.
• Experience building feature platforms ML platforms or shared machine learning infrastructure.
• Exposure to experimentation frameworks causal inference or measurement platforms.
• Experience mentoring engineers and influencing technical direction beyond your immediate team.
• A track record of delivering machine learning solutions that generated measurable customer or commercial outcomes.

Additional Information :

Whats in it for you

• 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 

Remote Work :

No

Employment Type :

Full-time