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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.