Machine Learning Engineer

Porto - Portugal

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

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 1400 of the worlds 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.

TECHNOLOGY

Were on a mission to build end-to-end products and technology that powers 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.

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.

THE ROLE

We are looking for a highly skilled Machine Learning Engineer to join our Product Matching team a critical function at the heart of Farfetchs competitive strategy. Our mission is to identify identical luxury products across a vast landscape of global competitors using a sophisticated blend of heuristics and state-of-the-art machine learning. This is not just a standard matching problem. You will be tackling the unique challenges of luxury fashionfrom discerning subtle differences in haute couture to understanding nuanced product descriptions from over 1400 global partners. You will be instrumental in designing building and scaling our next generation of matching systems leveraging a powerful tech stack that includes multimodal models Large Language Models (LLMs) and Generative AI (including Googles Gemini). Reporting to a Software Engineering Lead you will collaborate closely with Machine Learning Engineers Data Scientists and Product Managers to productionize cutting-edge research and directly influence the technical direction of our platform. If you are passionate about building robust scalable AI systems that solve complex real-world problems this role is for you.

WHAT YOULL DO

Design build and deploy robust end-to-end MLOps pipelines on Databricks for complex models including computer vision NLP and multimodal systems.
Fine-tune optimize and productionize Large Language Models (LLMs) and Generative AI solutions for tasks like product attribute extraction semantic search and similarity scoring.
Architect and manage large-scale data flows using PySpark pulling from diverse sources like Azure Data Lake Storage (ADLS) and Google BigQuery to fuel our model training and inference services.
Develop and maintain scalable APIs and services to serve model predictions to internal business stakeholders ensuring high availability and low latency.
Champion engineering best practices by writing clean tested and maintainable code and developing reusable libraries and frameworks that accelerate the teams delivery.
Implement comprehensive monitoring and alerting for model performance and data drift to ensure our systems remain accurate and reliable over time.

WHO YOU ARE

A skilled software engineer with a passion for machine learning. You have proven experience building and deploying end-to-end ML-powered products in a production environment.
Proficient in Python and modern software engineering practices including version control (Git) CI/CD dependency management and automated testing.
Experienced with distributed data processing. You have hands-on experience writing and optimizing complex data pipelines using Spark/PySpark.
Comfortable in a cloud-native environment. You have practical experience with a major cloud platform (Azure GCP or AWS) and its data services.
An excellent collaborator and communicator able to work effectively in a cross-functional team of technical and non-technical members.

Nice to Have:

Hands-on experience fine-tuning or deploying Large Language Models (LLMs) retrieval-augmented generation (RAG) systems or other Generative AI technologies.
Familiarity with building multimodal AI systems that combine image text and structured data.
Deep expertise with the Databricks platform including Delta Lake MLflow and model serving.
Experience with containerization technologies like Docker and orchestration with Kubernetes.

REWARDS & BENEFITS

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.

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.

SCAM DISCLAIMER

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.