Machine Learning Engineer

Job description

About us At Trainline, our purpose is to empower greener travel choices, connecting people and places. https://www.thetrainline.com/terms/sustainability-faqs 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 & AI at Trainline 👋 Machine learning and AI are at the core of how Trainline is transforming travel, helping millions of customers make smarter, more sustainable journeys every day. Our ML models and AI solutions 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 agentic 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. About The Role We are looking for Machine Learning Engineers to join our team help shape the future of train travel. You’ll be joining a high-performing, deeply technical community of Machine Learning Engineers, Data Scientists, and Data Engineers to tackle complex problems 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 & AI enthusiasts on large-scale production systems, delivering highly impactful products that make a difference to our millions of customers. As a 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 and/or AI solutions at scale that drive measurable impact for Trainline - 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 - Partner with stakeholders to propose innovative data products that leverage Trainline’s extensive datasets and state of the art algorithms - Create the tools, frameworks and libraries that enables the acceleration of our ML & AI 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, Statistics 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 models and/or AI solutions - Are an expert in one of predictive modelling, classification, regression, optimisation, NLP algorithms or recommendation systems - Have experience with Spark - Have knowledge of DevOps technologies such as Docker and Terraform and ML Ops practices and platforms like ML Flow - Have experience with agile delivery methodologies and CI/CD processes and tools - Have a broad of understanding of data extraction, data manipulation and feature engineering techniques - Are familiar with statistical methodologies - Have great communication skills Nice to have: - Experience with transport industry and/or geographical information systems (GIS) - Experience with cloud infrastructure - Experience with Large Language Models (fine tuning, RAG, agents) - Experience with graph technology and/or algorithms More information: Enjoy fantastic perks https://www.trainlinegroup.com/media/hfybhgrt/trainline_benefits_explorer_8.html like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family-friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! We're operating a hybrid model and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period. We also have a 28-day Work from Abroad policy. Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do: - 💭 Think Big - We're building the future of rail - ✔️ Own It - We focus on every customer, partner and journey - 🤝 Travel Together - We're one team - ♻️ Do Good - We make a positive impact We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated. Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn https://www.linkedin.com/company/trainline/, Instagram https://www.instagram.com/lifeattrainline/ and Glassdoor https://www.glassdoor.co.uk/Overview/Working-at-Trainline-EI_IE249203.11,20.htm!