Machine learning engineer in recommendation systems

ASOS

Greater London

Vor Ort

GBP 90.000 - 130.000

Vollzeit

Vor 2 Tagen
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Benefits dieser Stelle

Employee discount
Employee sample sales
25 days paid annual leave + extra day
Private medical care scheme
Fixed annual payment
Personalised learning opportunities

Zusammenfassung

ASOS is seeking a Machine Learning Engineer for our Search & Recommendations team in London. You will design and build production ML systems powering personalization and product discovery across millions of customers.

You’ll collaborate with scientists and engineers to move models from experiments to robust production, deploying in batch and real-time environments while focusing on reliability, scalability and performance at scale.

Qualifikationen

  • Experience deploying ML solutions in production environments.
  • Familiarity with PyTorch, TensorFlow, XGBoost or similar frameworks.
  • Experience training models on GPUs and scalable ML systems.
  • Strong software engineering fundamentals: version control, CI/CD, testing, observability and containerisation.

Aufgaben

  • Design, build and maintain production-grade ML systems powering personalization and discovery.
  • Develop and improve recommender systems, ranking models and customer-facing ML capabilities.
  • Deploy models into batch and real-time environments with reliability and scalability.
  • Collaborate with Applied Scientists and Engineers to productionize models.
  • Monitor, evaluate and iterate on models using real-world customer behaviour and metrics.
  • Contribute to MLOps tooling and ML platform capabilities.
  • Improve how ML is developed, deployed and operated across the organisation.

Kenntnisse

Production ML experience
GPU training
CI/CD and observability
Cross-functional collaboration
Curiosity and fast learning

Tools

PyTorch
TensorFlow
XGBoost
Docker

Jobbeschreibung

Описание:

We're looking for a Machine Learning Engineer to join our Search & Recommendations team, where we build the machine learning systems that help millions of customers discover products every day. From personalised recommendations and product ranking to emerging AI-powered styling experiences, our work sits at the heart of the customer journey and directly influences how customers explore and shop on ASOS.

Задачи:
  • Designing, building and maintaining production-grade machine learning systems that power personalisation and product discovery
  • Developing and improving recommender systems, ranking models and customer-facing machine learning capabilities
  • Deploying models into batch and real-time environments, ensuring reliability, scalability and performance at scale
  • Collaborating with Applied Scientists and Engineers to take models from experimentation into robust production systems
  • Monitoring, evaluating and iterating on models using real-world customer behaviour and performance metrics
  • Contributing to engineering best practices, MLOps tooling and shared machine learning platform capabilities
  • Helping to improve how machine learning is developed, deployed and operated across the organisation
Требования:
  • Experience developing, deploying or operating machine learning solutions in production environments
  • Familiarity with modern machine learning frameworks and tooling such as PyTorch, TensorFlow, XGBoost or similar technologies
  • Experience training models using GPUs, or an interest in distributed computing and scalable machine learning systems
  • Understanding of software engineering fundamentals, including version control, CI/CD, testing, observability and containerisation
  • An appreciation of MLOps practices and the challenges of deploying machine learning systems at scale
  • Strong collaboration and communication skills, with experience working across engineering, science and product disciplines
  • Curiosity, adaptability and a genuine enthusiasm for learning new technologies and approaches
Условия:
  • 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
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