Jobs / United Kingdom / Trainline
Junior Machine Learning Engineer
Trainline · 🇬🇧 London
Sponsorship verdict
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No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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Sponsor Radar — Trainline
This employer posted directly and does not match a government sponsor register.
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About the role
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 Trainliners 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 Machine Learning and AI at Trainline 👋 Machine learning is at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our ML models power critical aspects of our platform, including: • Advanced search and recommendations capabilities across our mobile and web applications • Pricing and routing optimisations to find the best fares for customers • Personalised user experiences enhanced by Reinforced Learning Agents & Generative AI • Data-driven digital marketing systems • AI agents improving customer support Our machine learning teams own the complete delivery lifecycle from ideation to production. We work closely with stakeholders across the business to expand the understanding and impact of machine learning and AI throughout Trainline. The Role: We are looking for a Junior Machine Learning Engineer to join our team help shape the future of train travel. You will be part of a highly innovative AI and ML platform working alongside engineers, scientists and product managers to tackle complex challenges by combining Trainline’s rich datasets with cutting edge algorithms. What unites our team is an expertise in the field, a love of what we do and the desire to create impactful solutions to support Trainline’s goals of encouraging sustainable travel. As a part of Trainline you will be joining an environment where learning and development is top priority. You will have the opportunity to work with fellow ML enthusiasts on large-scale production systems, delivering highly impactful products that make a difference to our millions of users. As a Junior Machine Learning Engineer at Trainline you will... 🚄 • Work in cross-functional teams combining data scientists, software, data and machine learning engineers, and product managers • Design and deliver machine learning models at scale that drive measurable impact for our business • Own the full end to end machine learning delivery lifecycle including data exploration, feature engineering, model selection and tuning, offline and online evaluation, deployments and maintenance • Work with MLE Team and Stakeholders to help design and deliver data driven products using Trainline's extensive datasets and modern machine learning techniques • Create the tools, frameworks and libraries that enables the acceleration of our ML products delivery and improve our workflows • Take an active part in our AI and ML community and 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 similar quantitative discipline • Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) • Have experience productionising machine learning