Senior ML Engineer

📋 Description

• Take ownership of designing, building, and maintaining the production data and feature pipelines
• Take models from prototype to production and keep them there: packaging and deployment alongside
• Build and maintain the batch and ELT pipelines the ML work sits on, using Python, PySpark, and
• Own and continuously improve CI/CD for data and ML workflows, ensuring reliable, repeatable
• Mentor and support junior and mid-level data engineers, reviewing code and sharing knowledge to
• Troubleshoot and resolve complex issues in live data pipelines and deployed models, acting as a

🎯 Requirements

• Have hands-on experience building the data and feature pipelines behind production machine
• Have worked with MLOps in practice rather than in principle: model versioning and registries
• Are comfortable with ML frameworks such as scikit-learn, PySpark MLlib, or PyTorch / TensorFlow
• Have designed and operated production data pipelines on a modern cloud data platform, AWS (Glue
• Have deep SQL skills and hands-on experience with data modelling (e.g., Kimball
• Have strong Python and PySpark for batch processing, with production-grade, well-tested code. The

🎁 Benefits

• Flexible working, including hybrid and remote options
• Office hubs in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client
• Trust to manage your time balancing collaboration with client time and focused work
• Real investment in your growth both professionally and personally
• Supportive, friendly culture, surrounded by smart, curious people