Senior Machine Learning Engineer

Overview

As an ML Engineer in Checkout.com’s Disputes ML team, you will help build a brand-new ML-driven dispute optimisation suite and scale it across production. You will own end-to-end features from data pipelines to model deployment, collaborating with platform and backend engineers. Your work will impact millions of disputes by enabling real-time processing and smarter decisioning. This is a hands-on, startup-like role in a fast-growing area with significant room to own impact and shape the product.

Pay / Benefits

• hybrid working model
• three days per week in the office
• career growth opportunities

Responsibilities

• Build systems for training, deploying and monitoring machine learning models at scale for the Disputes platform
• Develop and optimize data pipelines and backend services to process dispute and payment data in real time
• Scale our feature store for online and offline use-cases
• Own end-to-end feature delivery from requirements to production deployment and troubleshooting
• Convert raw data into production-ready features for dispute systems
• Collaborate with platform and backend engineers to integrate models seamlessly

Key requirements

• 5+ years of experience as MLOps / ML Engineer
• Proficiency in writing production-ready Python code
• Experience with production ML models and standard MLOps practices
• Experience with monitoring and observability of production systems with strong ownership
• Experience with training and operating models on Databricks
• Familiarity with Cloud-based development (AWS & Azure)
• Familiarity with ML frameworks such as scikit-learn, xgboost, TensorFlow, PyTorch, Spark, SageMaker, Vertex AI, Kubeflow, Seldon, Triton
• Strong communication skills and cross-team collaboration

• strong ownership
• collaboration across teams
• clear communication
• Databricks
• AWS
• Azure

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