Work in cross-functional teams combining data scientists, software, data engineers, machine learning engineers, and product managers
Design and deliver scalable machine learning systems that drive impactful, real-world applications
Work with complex and large-scale datasets to solve challenging business and customer problems
Contribute to innovative products and features that enhance the travel experience for millions of users
Own the full end-to-end machine learning delivery lifecycle, including data exploration, feature engineering, model selection and tuning, offline and online evaluation, deployment and maintenance
Partner with stakeholders to propose and develop data-driven solutions leveraging Trainline’s rich datasets and advanced algorithms
Create tools, frameworks and libraries that accelerate ML product delivery and improve team workflows
Take an active part in our AI and ML community and foster a culture of rigorous learning and experimentation

Strong understanding of machine learning fundamentals and core modelling techniques
Proficient in Python and common ML/data libraries (e.g. Pandas, Numpy, Scikit-learn)
Experience with large-scale data processing frameworks such as Spark
Experience building and productionising machine learning models, including real-time systems, with knowledge of MLOps, APIs and CI/CD practices
Strong communication skills and comfortable presenting complex ideas to non-technical audiences
Experience or interest in geospatial data, graph-based methods or network modelling (highly desirable)
Experience in relevant industry such as travel, mobility or transport, or related industries such as logistics, aviation or supply chain (highly desirable)

Machine Learning Engineer – Travel Experience

Key skills