Summary

This senior machine learning engineer role at Trainline focuses on designing, deploying and maintaining machine learning models for rail search, recommendations, pricing, routing and personalised experiences. The role is hybrid, with office attendance required for at least 60% of working time over a 12-week period, and involves python, scikit-learn, spark, docker, terraform and mlflow.

Responsibilities

• Design and deliver machine learning models at scale
• Own end-to-end model delivery from data to maintenance
• Shape scalable architectural and modelling decisions
• Build tools frameworks and libraries for ml products
• Mentor less experienced engineers without formal management
• Partner with stakeholders on innovative data products
• Work within cross-functional machine learning teams