Machine Learning Engineer jobs in United Kingdom

Farfetch is a leading global marketplace for the luxury fashion industry. The Farfetch Marketplace connects customers in over 190 countries and territories with items from more than 50 countries and over 1,400 of the world's best brands, boutiques, and department stores, delivering a truly unique shopping experience and access to the most extensive selection of luxury on a global marketplace.

PORTO

Our office is near Porto, in the north of Portugal, and is located in a vibrant business hub. It offers a dynamic and welcoming environment where our employees can connect and network with a large community of tech professionals.

TECHNOLOGY

We\'re on a mission to build end-to-end products and technology that powers the an incredible e-commerce experience for luxury customers everywhere, understanding the motivations and needs of our customers and partners, to designing and testing hypotheses, to creating industry-leading experiences for luxury customers.

THE ROLE (parental leave cover)

Reporting to the Analytics Manager, you\'ll leverage data, AI, and experimentation to shape product and platform decisions. You will design and run analyses to guide priorities, inform the development of AI-driven features, optimise user experiences across our platform, and measure the impact of initiatives on Product and Engineering.

Your responsibilities will include building and maintaining scalable reporting and dashboards, running A/B and multivariate tests, performing advanced ad-hoc analyses, and defining data instrumentation and tagging requirements to ensure robust data capture for new features and services. You will also conduct inference analyses to uncover causal relationships and actionable insights, helping to shape the strategic direction of products and data initiatives.

• Drive strategic insights through advanced data analysis (causal inference, forecasting, cost-benefit, impact analysis) to inform product, pricing, and growth decisions.
• Apply predictive and prescriptive analytics (ML/AI models for demand forecasting, churn, recommendations) to translate data into business strategy.
• Analyze customer journeys and e-commerce economics, optimizing funnel performance, promotions, and margin trade-offs to maximize profitability and growth.
• Design, recommend, and evaluate experiments (A/B and multivariate tests) with statistical rigor to guide product and platform development.
• Develop scalable reporting and dashboards in SQL and Looker, automating insights that reflect business processes and data flows.
• Collaborate cross-functionally on end-to-end analyses - from data gathering to delivering actionable insights, solutions, and presentations.
• Ensure data accuracy and integrity, maintaining high standards across reporting and analytical deliverables.
• Provide mentorship and thought leadership, setting best practices in analytics, experimentation, and stakeholder communication.
• Tell the story behind the data, synthesizing insights into clear, actionable narratives that influence roadmaps and leadership decisions.

• 5+ years of experience in data analytics, with a strong e-commerce orientation (mandatory).
• Skilled in SQL, Excel, and BI tools (e.g., Looker, Tableau) to transform data into actionable insights.
• Strong foundation in statistics, experimentation, and program evaluation, with experience applying data to solve real-world business problems.
• An excellent communicator and strategic thinker, able to translate complex analysis into clear, actionable recommendations for stakeholders.
• Fluent in English, both written and spoken.
• Degree in a quantitative discipline (e.g., Computer Science, Engineering, Math, Economics) preferred.

• 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 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.

It has come to our attention that there may be fraudulent activities involving individuals or organizations falsely claiming to represent Farfetch in order to attract candidates to a SCAM. Please be aware that Farfetch does not conduct recruitment processes through messaging apps or any unofficial communication channels, other than our official careers website. Additionally, Farfetch will never ask candidates for any form of payment during the recruitment process.