Machine Learning Engineering Manager

FARFETCH exists for the love of fashion. Our mission is to be the global platform for luxury fashion, connecting creators, curators and consumers.
We're a positive platform for good, bringing together an incredible creative community made up by our people, our partners and our customers. This community is at the heart of our business success. We welcome differences, empower individuality and celebrate diverse skills and perspectives, creating an inclusive environment for everyone. We are FARFETCH for All.
TECHNOLOGY
We're on a mission to build the technology that powers the global platform for luxury fashion. We operate a modular end-to-end technology platform purpose-built to connect the luxury fashion ecosystem worldwide, addressing complex challenges and enjoying it. We're empowered to break traditions and revolutionise, with the freedom and autonomy to make a difference for our customers all over the world.
PORTO
Our Porto office is located in Portugal's vibrant second city, known for its history and its creative yet cosy environment. From Account Management to Technology and Product, whatever your skills are, you'll find your fit here. You can have an informal meeting in the treehouse or play the piano in your lunch break!
THE ROLE
We are seeking an experienced and highly motivated Machine Learning Engineering Manager to lead our team in building an advanced personalization platform for online services. You will oversee a dynamic, interdisciplinary team comprising software engineers, data scientists, and machine learning engineers, focusing on implementing and optimising machine learning models for search, recommendations, and hyper-personalization. The platform serves millions of requests daily, powered by Python microservices and processes billions of data points to hyper-personalise the customer experience. Reporting directly to senior leadership, you will play a pivotal role in guiding the team to achieve technical excellence and deliver cutting-edge solutions.

Employment type
Full-time

Work arrangement
Hybrid