Engineering Lead Machine Learning - FARFETCH

PT Porto
29 Jul 2021
01 Sep 2021
Full Time
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.


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.


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!


We are looking for a experienced Software Engineer to lead a team through the END-TO-END DEVELOPMENT LIFE CYCLE OF MACHINE LEARNING-BASED APPLICATIONS in our next-generation intelligent platform for online luxury fashion. You will work in a very friendly environment and be part of a well-motivated, multicultural and growing team and building our data-driven products, through research and experimentation in a big data context. If you love to learn and expand your competencies in a data-driven philosophy, if you are willing to share knowledge and would love to be part of the building process to reach the top, using the latest technology stack and having fun doing it, this is an opportunity you can't miss.


    • Lead a diverse team of engineers in the design of model serving solutions and develop & deploy machine learning-based applications, services, and APIs so as to productionise machine learning models;
    • Set goals and development targets for the engineers and support them with feedback and development plans as they progress;
    • Contribute to the hiring, training and growth plan for engineers within a managed team;
    • Work with the team to set and maintain engineering practices while motivating engineers to grow and go far;
    • Assure the collaboration of managed team across different teams/offices and adherence to the defined global engineering best processes;
    • Engage with the team's Product Manager on reporting the execution status of projects in the product backlog and roadmap;
    • Partner with the Data Science Lead (who is actually responsible for building, training and evaluating ML models) in coming up with technical solutions and project execution plans;
    • Drive and foster the technological evolution of services and improve their quality attributes;
    • Be fully committed to Continuous Integration and Continuous Deployment.


    • BSc in Computer Science or a similar field;
    • Familiarity with the engineering aspects of some of popular machine learning practices, libraries, and platforms is considered a plus ( e.g. MLflow, Kubeflow, Mleap, Michelangelo, Feast, HopsWorks, MetaFlow, Zipline, Databricks, Spark, MLlib, PyTorch, TensorFlow, Scikit-learn among others );
    • Display leadership and inspire others by example, being a role model in living and breathing the team and our values;
    • Comfortable dealing with trade-offs between project delivery and quality, especially those involving latency, throughput, and transactions;
    • Experience Continuous Integration & Continuous Deployment processes and platforms, software design patterns and APIs;
    • A person that enjoys staying on top of all the best practices and tools of modern software engineering, while being a keen advocate of code quality and continuous improvement;
    • Someone interested in large-scale systems and passionate about inspiring teams while being open and comfortable with changes in the tech stack the teams use.


    • Health insurance for the whole family, flexible working environment and well-being support and tools
    • Extra days off, sabbatical program and days for you to give back for the community
    • Training opportunities and free access to Udemy
    • Flexible benefits program
    • FARFETCH Equity plan


    • FARFETCH is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process. We are determined that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law. We continue to build our consciously inclusive culture as part of our Positively FARFETCH strategy throughout our business, partnerships and communities.

We are looking for a experienced Software Engineer to lead a team through the END-TO-END DEVELOPMENT LIFE CYCLE OF MACHINE LEARNING-BASED APPLICATIONS. ${description2}

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