Senior Machine Learning Engineer - Credit modelling

Overview

In this role you lead the productionization of consumer credit underwriting models, turning data-science experiments into reliable, scalable production pipelines. You own the ML infrastructure and deployment, working with a cross‑functional team across Stockholm, Milan and Warsaw to grow Klarna’s in‑house data science capability in credit risk and fraud. You’ll build and maintain the end-to-end ML pipeline, from feature computation to retraining and monitoring, delivering robust models in production. This is a hands-on engineering role focused on delivering impactful, scalable solutions in a fast‑paced fintech environment.

Responsabilità

Write production Python to train credit underwriting models (tree-based models)

Build and maintain ML pipeline infrastructure from feature computation through retraining and monitoring

Deploy models into production using tools like AWS Sage

Maker and ensure ongoing operation

Troubleshoot end-to-end pipeline issues and own the lifecycle of deployed models

Scale Klarna's in-house data science capability as the credit risk and fraud teams grow

Requisiti fondamentali

Production Python for ML: training models, not just prototyping

Experience taking ML models/pipelines from development to production and owning them

Hands-on with tree-based models

Deployment and operation of ML workloads on AWS or equivalent cloud

Understanding full SDLC and applying it to ML code

Collaboration with data scientists to build reliable pipelines

English communication (spoken and written)

Clear communication

Cross-functional collaboration

Ownership and accountability

Python for ML (production)

Tree-based models

AWS Sage

Maker or equivalent cloud deployment