Senior ML Engineer: Scale Personalization & MLOps

asos.com Ltd; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Employee sample sales

25 days paid annual leave + extra day

Discretionary bonus scheme

Private medical care scheme

Flexible benefits allowance

Personalised learning opportunities

Job summary

ASOS is seeking a Senior Machine Learning Engineer to join the Customer & Martech team in London. You will design, build and operate ML systems that power customer engagement, marketing effectiveness, pricing and personalization at scale.

You will own the full engineering lifecycle, collaborate with scientists and data engineers, and help shape our MLOps platform while mentoring peers to uphold high standards.

Qualifications

• 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.

Responsibilities

• 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.

Tools

Spark

Job description

ASOS is seeking a Senior Machine Learning Engineer to join the Customer & Martech team in London. You will design, build and operate ML systems that power customer engagement, marketing effectiveness, pricing and personalization at scale.

You will own the full engineering lifecycle, collaborate with scientists and data engineers, and help shape our MLOps platform while mentoring peers to uphold high standards.