Machine Learning Ops and Data Engineer

About the role

This role combines data platform engineering and MLOps responsibilities, supporting reliable analytical data flows and production-ready machine learning solutions. You will maintain and improve ETL pipelines, support the data platform environment, and help deploy, monitor and optimise machine learning models in production, working closely with Data Science, Engineering, BI, Risk and IT teams.

Key responsibilities

• Deploy machine learning models into production and support their operational lifecycle
• Support cloud-based analytical, reporting and machine learning infrastructure
• Collaborate with Data Science, Engineering, Risk, BI and IT teams on production standards
• Develop automation for model deployment, updates, scaling and recurring data processing
• Implement monitoring of data pipelines and ML models, including performance, availability and quality checks
• Maintain and optimise ETL/data pipelines and the analytical data warehouse
• Ensure timely, high-quality data for BI, Risk and Data Science, and resolve performance issues
• Troubleshoot, debug and improve software, pipelines and deployment processes
• Gather user feedback, recommend improvements and maintain technical documentation

Required profile

• 2+ years of experience in data engineering and machine learning
• Software design, development, debugging and documentation experience
• Proficiency in English (B1/B2 or higher)

Required skills

• Python and intermediate SQL
• Databases, data warehouse concepts and ETL processes
• ML lifecycle and model operationalisation; familiarity with scikit-learn and XGBoost
• DevOps, CI/CD pipelines and version control
• Cloud solutions, preferably Azure, and containerisation with Docker
• Monitoring, troubleshooting and optimising data pipelines and deployed models

What we offer

• A friendly, collaborative team culture
• The chance to learn from experienced colleagues and grow in a modern IT environment
• A workplace that values teamwork, curiosity and continuous improvement