Machine Learning Engineer

At Finom, we’re on a mission to transform the financial landscape for small and medium businesses (SMEs) across Europe. We’re all about innovation, putting our customers first, and making data-driven decisions. We’re building something special - a financial platform that simplifies finance management, eliminates routine tasks and makes life easier for our customers. As we expand, we’re looking for a Senior Machine Learning Engineer to join our Data Science & Machine Learning team and help us scale our efforts through data-driven insights and advanced machine-learning models.

What You Will Be Doing

• Develop and deploy full-stack ML models (binary classification and regression) to detect and prevent financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment.

• Manage and optimize a portfolio of transaction monitoring rules, improving their efficiency and reducing false positives

• Automate the end-to-end machine learning lifecycle using AutoML approaches

• Work with large datasets from DWH systems (PostgreSQL, Databricks) for analysis and feature engineering

• Contribute to building and improving infrastructure for ML model operationalization and inter-service communication

Who You Are

• Experienced Machine Learning Engineer or Full-stack Data Scientist with a solid track record in delivering production-grade ML solutions - 4-5 years of experience

• Proficient in Python and SQL-based programming

• Skilled in working with cloud-based data platforms such as Databricks

• Experienced in deploying machine learning models and API services (e.g., FastAPI) in production environments

• Strong understanding of system architecture and ability to design scalable ML solutions

• Analytical and critical thinker with a proactive, results-driven mindset

• Comfortable working in fast-paced, start-up environments with minimal supervision

• Educational background in mathematics, engineering, economics, or computer science

• Fluent in English, capable of working in an international environment