We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here ). Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. Join us as a Staff Machine Learning Engineer on our AI Product team to build and ship customer-facing AI for 600,000+ business customers. You'll combine Generative AI with proven machine-learning techniques to create products with measurable impact — adoption, faster task completion, user satisfaction — while ensuring reliability, privacy, and continuous monitoring in production. Develop ML models end-to-end: From understanding product requirements to training, evaluating, and deploying models in production. Align with Product Managers, Data Engineers, and Backend Engineers to ensure your models are seamlessly embedded in Qonto's financial services. Create the infrastructure for the team to scale — model drift detection, performance tracking, automated retraining pipelines, monitoring, and alerts.



Put models into production with rigour: Robust technical implementation, quality assurance, and continuous monitoring. Experience building and optimising machine learning models for external customers. Strong Python engineering: Proficient with FastAPI (or similar), third-party service integration, and database interaction in production. ~ Familiar with tools that automate model retraining, performance checking, and drift detection. Fluent in English: Python, Snowflake, Kafka, Kibana, PostgreSQL, Airflow, AWS, Prometheus, ArgoCD, GitHub, Cursor. You have the freedom to test any tool as long as it helps reach the target. 10 AI Engineers and 3 Data Ops working on innovative solutions at the heart of Qonto's financial services — not a side project. A graduate of École Polytechnique, Marianne went on to lead Data Science teams at Uber and Amazon in San Francisco before joining Qonto four years ago to build our Data Science team from scratch — hiring the founding members and defining the technical direction. After earning his PhD in Physics and leading ML Engineering and Data Science teams across last-mile logistics and digital marketing, Benjamin joined Qonto to lead our AI Products team. By applying, you agree that Qonto processes your personal data to assess your application. Your data is kept for up to 2 years in our candidate pool. If you receive a suspicious message claiming to be from Qonto, please report it right away () #

📌 Staff Machine Learning Engineer for AI Product (Barcelona)
🏢 Qonto
📍 Barcelona