🕒 2 days ago
Lead the Growth Platform organization and its multi-year strategy, unifying growth systems and applying ML and AI agents to improve targeting, experimentation, personalization, and team execution.
Machine Learning Engineering Manager
🕒 2 days ago
Machine LearningData ScienceSoftware EngineeringPython
📜 Description
- Lead, mentor, and develop software engineers, data scientists, and machine learning engineers.
- Set the strategic roadmap for machine learning projects in search and recommendations.
- Guide the design, implementation, and optimization of machine learning models and systems.
- Oversee end-to-end solutions, including architecture, data pipelines, model serving, and production deployment.
- Partner with senior leaders, product managers, and stakeholders to define requirements, priorities, and delivery plans.
- Ensure system quality through testing, monitoring, and continuous improvement; encourage adoption of modern techniques and tools.
🛠️ Requirements
- BSc, MSc, or PhD in relevant fields such as Computer Science, Machine Learning, Data Science, or related disciplines.
- Strong expertise in machine learning, data science, and software engineering, with hands-on experience in Python, TensorFlow, PyTorch, Scikit-learn, and other relevant libraries and frameworks.
- Proven experience in leading and managing engineering teams, with a track record of delivering successful machine learning projects.
- Ability to develop and communicate a clear vision for the team's work, aligning it with the company's goals and ensuring a strategic approach to problem-solving.
- Strong project management skills, including the ability to prioritize tasks, manage resources, and deliver projects on time and within budget.
- Exceptional communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
- Passion for staying updated with the best practices and tools of modern software engineering, machine learning advancements, and advocating for continuous improvement within the team.
Full job description
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. You can have an informal meeting in the treehouse or play the piano during 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.
WHAT YOU'LL DO
WHO YOU ARE
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