Senior Machine Learning Engineer

About us At Trainline, our purpose is to empower greener travel choices, connecting people and places. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels. Great journeys start with Trainline  We’re Europe’s leading independent rail platform, helping millions of travellers find and book the best-value rail and coach journeys across our app, website and partner channels.

Our job is to make the green travel choice the best choice. By building a better train travel experience, we help more people choose rail - creating a positive impact for customers, our business and the planet.

We’re a team of more than 1,000 Train liners from over 50 nationalities, working across London, Paris, Barcelona, Milan, Edinburgh and Madrid. Now is a brilliant time to join us and help shape the future of travel.

Introducing the Trainline Machine Learning and AI Team Machine learning sits at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our models power some of the most important parts of the platform, from search and recommendations across mobile and web, to pricing and routing optimisation, personalised experiences enhanced by generative AI, data-driven marketing, and AI agents that support our customers.

Our machine learning teams own the complete delivery lifecycle from ideation through to production, working closely with engineers, data scientists and product managers across the business to grow the understanding and impact of machine learning and AI throughout Trainline. As a Senior Machine Learning Engineer, you will bring deep technical expertise and sound judgement to some of our most complex problems, and will play a key role in shaping technical direction and influencing stakeholders across the business, while helping to raise the capability of those around  this role as the Senior Machine Learning Engineer, you will...

Work within cross-functional teams alongside data scientists, software engineers, data engineers and product managers

Design and deliver machine learning models at scale that create measurable impact for the business

Own the end-to-end machine learning delivery lifecycle, including data exploration, feature engineering, model selection and tuning, evaluation, deployment and maintenance

Shape technical direction for your area, making well-reasoned architectural and modelling decisions that stand up at scale

Partner with and influence stakeholders across the business to propose innovative data products that make the most of Trainline's extensive datasets and the latest algorithms

Build tools, frameworks and libraries that accelerate the delivery of ML products and improve team workflows

Provide technical mentorship and support the development of less experienced engineers, without formal people management responsibility

Take an active role in our AI and ML community, helping foster a culture of rigorous learning and experimentation

We'd love to hear from you if you have... An advanced degree in Computer Science, Mathematics or a related quantitative discipline, or equivalent experience

Considerable experience product ionising machine learning models, with strength in an area such as predictive modelling, classification, regression, optimisation or recommendation systems

Strong proficiency in Python and open-source data libraries such as Pandas, Num Py and Scikit-learnA solid grounding in statistical methodologies, along with data extraction, manipulation and feature engineering techniques

Experience with Spark, agile delivery methods and CI/CD practices

Familiarity with Dev Ops and MLOps tools and…