Farfetch Careers

Machine Learning Engineer

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.

DATA

We're a Data team that does it all: big data engineering, machine learning, and deep-dive analytics and insight. We're a diverse, global team who create Data solutions to provide an unrivalled customer experience. Whether it's churning gigabytes of ecommerce data, using AI to recommend the latest trends, or understanding our customers better than anyone else, we use data to promote FARFETCH's growth.

LONDON

Our London office is located in Old Street, London's tech hub, and is home to a broad range of teams including Commercial, Marketing, and Product. Our open plan space is ideal for collaborative working and sharing ideas, or you can enjoy some quiet time in our dedicated library. We also have a large outdoor terrace which is the perfect spot to have a team lunch or host events.

THE ROLE

We are looking for a Machine Learning Engineer to join our team: we manage the end-to-end delivery and maintenance of large-scale data products using the latest tools and processes. You will report to a Software Engineer Lead and you will work with Data Scientists, Analysts, and other technical teams, both here in London and across our other locations, shaping the technical direction of a critically important part of Farfetch.

Working with us, you will productionise and integrate data science solutions with the relevant internal business products or operational systems.

WHAT YOU'LL DO

Work with the Data Scientists and Data Engineers to create production-quality Machine Learning pipelines and solutions with an emphasis on Performance, Scalability, Reliability and Maintainability

Build components and libraries that will improve existing solutions and improve the delivery of new ones;

Surface models and their outputs through the construction of ETLs, APIs and web interfaces.

WHO YOU ARE

Experience implementing end-to-end data products with Data Engineering and Machine Learning components - from the system design to construction, deployment, orchestration and monitoring;

Experience writing production quality code in Python 3, including, for example, dependency management and testing frameworks;

Exposure to data processing frameworks such as Dataflow and Spark/Databricks.

REWARDS & BENEFITS

FARFETCH Equity plan and annual discretionary bonus

Flexible benefits - Private Medical Insurance, Dental Insurance, Gym Memberships, Pension scheme and more

Critical Illness Insurance and Life Assurance

Access to Unmind: an independent and completely confidential digital mental health platform

Flexible working environment and more!

EQUAL OPPORTUNITIES STATEMENT

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.

Work with Data Scientists, Analysts and other engineering teams within Data and the whole organisation to productionise and integrate data science solutions with the relevant internal business products or operational systems.

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.

DATA

We're a Data team that does it all: big data engineering, machine learning, and deep-dive analytics and insight. We're a diverse, global team that creates Data solutions to provide an unrivalled customer experience. Whether it's churning gigabytes of e-commerce data, using AI to recommend the latest trends, or understanding our customers better than anyone else, we use data to promote FARFETCH's growth.

THE ROLE

Reporting to the Data Science Manager you will join Farfetch being part of building the next-generation intelligent platform for online luxury fashion, powered by large-scale data and Machine Learning, Deep Learning, Information Retrieval and Natural Language Processing algorithms. You will join a team of Data Scientists and Engineers working on the ranking ecosystem which serves, daily, millions of optimized listing pages to customers everywhere in the world. You will help provide intelligent algorithms, at scale, while working with product, business and tech to meet goals.

WHAT YOU´LL DO

• Develop machine learning models alongside conventional algorithms for ranking on a world leading luxury fashion platform.
• Conduct practical research developing new models with a scientific mindset and a determined focus on delivery.
• Work with the engineering team to integrate machine learning based algorithms into the platform.
• Contribute ideas and proposals for future initiatives to improve the ranking ecosystem.
• Scientific and technical publications are possible and encouraged.

• A professional with at least 2 years' experience in a Data Science related role, working within a Retail and E-commerce environment;
• A professional with an understanding of Information Retrieval, Learning to Rank (e.g., RankNet, ListNet, lambdaMART), algorithm performance metrics (e.g., NDCG);
• Fluent in Python, common numerical and Math & ML packages (NumPy, SciPy, scikit-learn, pandas, Keras, TensorFlow, and PyTorch);
• Experienced in dealing with large amounts of data and building data pipelines;
• Non-relational databases (e.g., Cassandra, Big Query) and streaming platforms know-how (e.g., Kafka);
• A professional with English skills, both written and spoken;
• Interested to keep up-to-date with scientific advancements.

• 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

Work with a team of Data Scientists, Engineers, and Product Designers to help build and increase our data-driven products, through research and experimentation in Information Retrieval.

EQUAL OPPORTUNITIES STATEMENT

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.

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

You will be integrated in the Data Engineering team, being responsible for helping maintain and develop the custom tools needed to build the demanding data pipelines Farfetch needs.

Farfetch’s Data Teams are focused on everything related to data. Their main purpose is to harness the power of Farfetch’s data to deliver insights and reports that support business decisions and also analyze and discover new ways to amaze our customers. These teams cover multiple areas related to data, such as Business Intelligence, Software and Data Engineering, Data Science and Data Analytics. Just as the rest of Farfetch, Data Teams are committed into turning the company into a leading e-commerce platform. As so, they are constantly looking for brilliant people who like the challenges that a fast growing, data driven company faces in its path to become a market leader.

WHAT YOU'LL DO

• Design scalable, end-to-end data pipelines to consume and integrate large volumes of complex data from multiple sources.
• Maintain and develop the tools needed for a self-serving data architecture approach.
• Provide Data Engineering expertise to multiple teams across our organization.
• Research and implement new data technologies.
• Work with the team to set and maintain standards and development practices.

• You have 2+ years of experience as a professional with solid technical background building and maintaining data pipelines in a custom or commercial ETL tool.
• Proficient in one of the following programming languages: Scala (plus), C#, Java, Python.
• Knowledgeable of distributed systems and distributed data processing frameworks like Spark (plus), Flink.
• Experienced with git version control and CI/CD deployment principles.
• Experience working with cloud environments is a plus (eg. AWS, GCP, Azure).
• Experience in working with Databricks environments and airflow is a plus.
• You have an intermediate level in English, both written and spoken.
• You have good analytical and problem solving skills, the ability to work in a fast moving operational environment and you are enthusiastic and with a positive attitude.

• 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.

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 looking for a Software Engineer to develop Machine Learning-based solutions 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, building and optimising 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 a part of the building process to reach the top, using latest technology stack and having fun doing it, this is an opportunity you can’t miss.

WHAT YOU'LL DO

• Work with technical team to implement the end-to-end architecture;
• Surface the team's output through the construction of data pipelines and APIs;
• Design model serving solutions and develop machine learning-based applications, data pipelines and APIs so as to productionise machine learning models;
• Partnering with the Data Scientists (those who actually build, train and evaluate ML models) to provide an end-to-end solution for machine learning-based projects;
• Fostering the technological evolution of services and improve their end-to-end quality and performance;
• Testing new ML models trough AB testing methodology;
• Committed to Continuous Integration and Continuous Deployment.

• Experienced implementing end-to-end data products with Data Engineering and Machine Learning components - from the system design to construction, deployment, orchestration and monitoring;
• Experienced with Continuous Integration & Continuous Deployment processes and platforms, software design patterns and APIs;
• Experienced writing production quality code in Python, including dependency management and testing frameworks;
• Familiarised with the engineering concepts of some of popular Machine Learning practices, libraries and platforms (e.g. MLflow, feature store, VSE, Kubernetes, Databricks, Spark, PyTorch, Numpy, Pandas, TensorFlow and scikit-learn among others);
• A person that enjoys staying on top of all the best practices and tools of modern software engineering, while being a advocate of code quality and continuous improvement;
• Not afraid of failing, we challenge assumptions and push boundaries since we have a culture of experimentation and learning from our mistakes so we can improve!

• 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 savvy and experienced Software Engineer to Develop MACHINE LEARNING-BASED SOLUTIONS in our next-generation intelligent platform for online luxury fashion.

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.

DATA

We're a Data team that does it all: big data engineering, machine learning, and deep-dive analytics and insight. We're a diverse, global team who create Data solutions to provide an unrivalled customer experience. Whether it's churning gigabytes of ecommerce data, using AI to recommend the latest trends, or understanding our customers better than anyone else, we use data to promote FARFETCH's growth.

DELHI NCR

Our India office is located in a premium coworking space, situated in the heart of Gurgaon's Two Horizon Centre. It offers a unique community experience with global enterprises, unlimited coffee, Chai point counters, a pool table and a karaoke room. The office is a growing tech hub of Farfetchers from our Infrastructure and Data teams.

THE ROLE

The Experimentation team provides statistical advice, technical support and visualizations on test results to support decisions to roll-out or iterate. We know that our ability to make scientifically-informed, rapid iterations is essential to our success, and we're looking for a Senior data scientist to drive product evolution in experimentation. Reporting to the Head of Data Science, you will enable teams in using our experimentation platform through reliable user segmentation, hypothesis testing and analysis. You will be a bridge between different stakeholders (e.g. data engineering, product managers, business owners) in our experimentation platform. You will be responsible for the quality of decisions taken based on the results of the experimentation analyses, which would imply supporting experimentation design, data analysis and communication of the results.

WHAT YOU'LL DO

• Establish and standardize state-of-the-art methodologies for experiment design and analysis
• Lead the research efforts in developing methods and tools which increase the rigor and efficiency of the experimentation platform.
• Work towards enhancing the design of the experimentation platform features, including quantitative analysis, ad hoc reports, and models to support controlled experimentation.
• Partner with business and product areas, embedded data science teams and engineering teams to make well-informed decisions backed by experimentation data
• Support business and product areas on statistically robust experiment design

• MSc or Ph.D. in a quantitative discipline: Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering.
• 5 years' experience in a developing and implementing statistical solutions
• Deep understanding of statistical concepts like hypothesis testing, Bayesian decision-making, etc.
• Experience with Python/R and exposure to cloud environments like GCP or AWS
• Experience in advanced data analysis
• Experience communicating with cross-functional stakeholders including product managers, data scientists, and engineers
• Direct experience in experimentation area
• Experienced in English (both written and spoken)

• 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're looking for someone who wants to be part of our world-leading experimentation culture at Farfetch.