We are champions of rail, inspired to build a greener,more sustainable future of travel. Trainline enables millions oftravellers 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 withTrainline Now Europe’s number 1 downloaded rail app, with over 125million monthly visits and £5.3 billion in annual ticket sales, wecollaborate with 270+ rail and coach companies in over 40countries. We want to create a world where travel is as simple,seamless, and affordable as it should be. Today, were a FTSE 250company driven by our incredible team of over 1,000 Trainlinersfrom 50+ nationalities, based across London, Paris, Barcelona,Milan, Edinburgh, Berlin, Madrid, and Brussels. With our focus ongrowth in the UK and Europe, now is the perfect time to join us onthis high-speed journey. Job Description Introducing MachineLearning and AI at Trainline Machine learning is at the heart ofTrainlines mission to help millions of people make sustainabletravel choices every day. Our ML models power critical aspects ofour platform, including: * Advanced search and recommendationscapabilities across our mobile and web applications * Pricing androuting optimisations to find the best fares for customersPersonalised user experiences enhanced by generative AI * AI agentsimproving customer support Our machine learning teams own thecomplete delivery lifecycle from ideation to production. We workclosely with stakeholders across the business to expand theunderstanding and impact of machine learning and AI throughoutTrainline. The Role We are looking for a Machine Learning Engineerto join our team help shape the future of train travel. You will bepart of a highly innovative AI and ML platform working alongsideengineers, scientists and product managers to tackle complexchallenges by combining Trainline’s rich datasets with cutting edgealgorithms. What unites our team is an expertise in the field, alove of what we do and the desire to create impactful solutions tosupport Trainline’s goals of encouraging sustainable travel. As apart of Trainline you will be joining an environment where learningand development is top priority. You will have the opportunity towork with fellow ML enthusiasts on large-scale production systems,delivering highly impactful products that make a difference to ourmillions of users. As a Machine Learning Engineer at Trainline youwill... * Work in cross-functional teams combining data scientists,software, data and machine learning engineers, and product managersDesign and deliver machine learning models at scale that drivemeasurable impact for our business * Own the full end to endmachine learning delivery lifecycle including data exploration,feature engineering, model selection and tuning, offline and onlineevaluation, deployments and maintenance * Partner with stakeholdersto propose innovative data products that leverage Trainline’sextensive datasets and state of the art algorithms * Create thetools, frameworks and libraries that enables the acceleration ofour ML products delivery and improve our workflows * Take an activepart in our AI and ML community and foster a culture of rigorouslearning and experimentation Wed love to hear from you if you...Have an advanced degree in Computer Science, Mathematics or asimilar quantitative discipline * Are proficient with Python,including open-source data libraries (e.g Pandas, Numpy, Scikitlearn etc.) * Have experience productionising machine learningmodels * Are an expert in one of predictive modeling,classification, regression, optimisation or recommendation systemsHave experience with Spark * Have knowledge of DevOpstechnologies such as Docker and Terraform and ML Ops practices andplatforms like ML Flow * Have experience with agile deliverymethodologies and CI/CD processes and tools * Have a broadunderstanding of data extraction, data manipulation and featureengineering techniques * Are familiar with statisticalmethodologies. * Have good communication skills Nice to have *Experience with transport industry and/or geographical informationsystems (GIS) * Experience with cloud infrastructure *Understanding of NLP algorithms and techniques and/or experiencewith Large Language Models (fine tuning, RAG, agents) * Experiencewith graph technology and/or algorithms * Python and associatedML/DS libraries (scikit-learn, NumPy, LightGBM, Pandas,LangChain/LangGraph, TensorFlow, etc...) * PySpark * MLOps:Terraform, Docker, Airflow, MLFlow The interview process *Recruiter Call (30 minutes) * Meeting a Machine Learning Manager(30minutes) * Technical Interview with 2 x Engineers (90 mins) * FinalInterview with the Head of (30-45 mins) Additional InformationEnjoy fantastic perks like private healthcare & dentalinsurance, a generous work from abroad policy, 2-for-1 sharepurchase plans, extra festive time off, and excellentfamily-friendly benefits. We prioritise career growth with clearcareer paths, transparent pay bands, personal learning budgets, andregular learning days. Jump on board and supercharge your careerfrom day one! Our values represent the things that matter most tous and what we live and breathe every day, in everything we do: *Think Big- Were building the future of rail * Own It- We focus onevery customer, partner and journey J-18808-Ljbffr