Machine learning engineer in ecommerce

ASOS; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Employee discount (hello ASOS discount

Employee sample sales

25 days paid annual leave + an extra 1

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 our Customer & Martech team. You will design, build and scale ML products that drive customer growth, marketing effectiveness, pricing and personalisation across ASOS platforms.

You will own the end-to-end lifecycle of ML systems from data ingestion to deployment and monitoring, productionising solutions that operate reliably at scale, and mentor colleagues.

Qualifications

• Experience deploying ML systems in production.
• Strong Python and software engineering fundamentals.
• Experience with cloud-based batch and real-time ML pipelines.

Responsibilities

• Design, build and operate ML systems for engagement, pricing and personalization.
• Own end-to-end lifecycle: data ingestion, feature engineering, deployment, monitoring.
• Productionise ML solutions for ASOS scale and reliability.
• Collaborate with Applied Scientists to translate research into production.
• Build reusable tooling and influence architectural decisions.

Skills

Python

ML pipelines

MLOps

CI/CD

Mentoring

Tools

Spark

PyTorch

TensorFlow

XGBoost

APIs

Job description

Описание:

At ASOS, machine learning is a core part of how millions of customers discover products, engage with our brand and shop every day. We're looking for a Senior Machine Learning Engineer to join our Customer & Martech team. In this role, you'll help build and scale machine learning products that support customer growth, marketing effectiveness, pricing and personalisation.

Задачи:

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.

Требования:

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.

Условия:

• 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