Machine Learning Engineer

Overview

As a Machine Learning Engineer at Trainline, you will shape scalable ML solutions that power search, pricing, and personalised experiences. You join a cross-functional team to deliver end-to-end ML projects in production, influencing customer journeys and revenue optimisation. You’ll work with extensive data and cutting-edge algorithms to drive measurable business impact. This role offers hands-on engineering with a strong emphasis on learning, experimentation, and collaboration.

Pay / Benefits

• private healthcare & dental insurance
• work from abroad policy
• 2-for-1 share purchase plans
• EV scheme to reduce carbon emissions
• extra festive time off
• family-friendly benefits

Responsibilities

• Design and deliver ML models at scale to drive business impact
• Own end-to-end ML delivery lifecycle: data exploration, feature engineering, model selection, evaluation, deployment, maintenance
• Collaborate with data scientists, software engineers, and product managers in cross-functional teams
• Prototype data products leveraging Trainline’s datasets and advanced algorithms
• Create tools and frameworks to accelerate ML delivery and improve workflows
• Engage with the AI/ML community to foster learning and experimentation

Key requirements

• Advanced degree in Computer Science, Mathematics or similar quantitative discipline
• Proficiency in Python and data libraries (Pandas, NumPy, Scikit-learn)
• Experience productionising ML models
• Expertise in predictive modelling, classification, regression, optimisation or recommendation systems
• Experience with Spark
• Knowledge of DevOps tech (Docker, Terraform) and ML Ops platforms (MLflow)
• Experience with agile delivery, CI/CD tools
• Broad understanding of data extraction, manipulation, and feature engineering
• Familiarity with statistical methodologies
• Good communication skills

• strong communication
• collaboration
• curiosity and learning mindset
• Python and open-source data libraries
• Spark
• Docker

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