ML Engineering Lead — Personalization & Search Platform

Farfetch

Porto

Presencial

EUR 90 000 - 120 000

Tempo integral

Há 10 dias

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Resumo da oferta

FARFETCH in Porto, Portugal is seeking an experienced Machine Learning Engineering Manager to lead a cross-functional team of software engineers, data scientists and ML engineers, focusing on personalisation, search and recommendations.

You will define the strategic roadmap, oversee end-to-end ML solutions, from data pipelines to model serving, and collaborate with senior leadership to deliver scalable, production-grade systems used by millions of customers daily.

Qualificações

  • Experience leading ML projects and engineering teams.
  • Hands-on with Python and ML frameworks.
  • Ability to define roadmaps and manage projects.
  • Strong communication with stakeholders.

Responsabilidades

  • Lead and mentor a team of engineers and data scientists.
  • Develop strategic ML roadmap aligned to business goals.
  • Provide technical guidance for ML model design and deployment.
  • Oversee end-to-end ML solutions including data pipelines and model serving.
  • Collaborate with senior leadership, PMs, and stakeholders.
  • Ensure model quality, monitoring, and continuous improvement.
  • Foster innovation and adopt state-of-the-art techniques.
  • Conduct regular performance reviews and support growth.
  • Promote a culture of learning and stay updated.

Conhecimentos

Machine learning
Data science
Software engineering
Python
TensorFlow
PyTorch
Scikit-learn
Leadership
Project management
Communication

Formação académica

BSc in Computer Science or related field
MSc or PhD preferred

Descrição da oferta de emprego

FARFETCH in Porto, Portugal is seeking an experienced Machine Learning Engineering Manager to lead a cross-functional team of software engineers, data scientists and ML engineers, focusing on personalisation, search and recommendations.

You will define the strategic roadmap, oversee end-to-end ML solutions, from data pipelines to model serving, and collaborate with senior leadership to deliver scalable, production-grade systems used by millions of customers daily.

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