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
WHAT YOU'LL DO
- Team Leadership: Lead, mentor, and manage a team of software engineers, data scientists, and machine learning engineers, fostering a collaborative and innovative environment.
- Develop and execute the strategic roadmap for machine learning projects focused on search and recommendations, ensuring alignment with business objectives.
- Provide technical guidance and oversight for the design, implementation, and optimization of machine learning models and systems.
- Oversee the development of end-to-end machine learning solutions, including architecture implementation, data pipeline construction, model serving solutions, and productionizing models.
- Work closely with senior leadership, product managers, and other stakeholders to define project requirements, set priorities, and ensure successful project delivery.
- Ensure the quality and reliability of machine learning models and systems through rigorous testing, monitoring, and continuous improvement practices.
- Foster technological innovation within the team, encouraging the adoption of state-of-the-art techniques and tools, and ensuring the team's output evolves with industry advancements.
- Conduct regular performance reviews, provide feedback, and support the professional development of team members.
- Promote a culture of continuous learning and improvement, staying updated with the latest advancements in machine learning and related fields, and encouraging team members to do the same.
WHO YOU ARE
- 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
