Machine Learning Engineer FullTime London [Urgent]

About us: We are champions of rail, inspired to builda greener, more sustainable future of travel. Trainline enablesmillions of travellers to find and book the best value ticketsacross carriers, fares, and journey options through our highlyrated mobile app, website, and B2B partner channels. Great journeysstart with Trainline Now Europe’s number 1 downloaded rail app,with over 125 million monthly visits and £5.9 billion in annualticket sales, we collaborate with 270+ rail and coach companies inover 40 countries. We want to create a world where travel is assimple, seamless, and affordable as it should be. Today, we're aFTSE 250 company driven by our incredible team of over 1,000Trainliners from 50+ nationalities, based across London, Paris,Barcelona, Milan, Edinburgh and Madrid. With our focus on growth inthe UK and Europe, now is the perfect time to join us on thishigh-speed journey. Introducing Machine Learning and AI atTrainline Machine learning is at the heart of Trainline's missionto help millions of people make sustainable travel choices everyday. Our AI systems power critical aspects of our platform,including: - AI agents improving customer support and changing howwe travel - Advanced search and recommendations capabilities acrossour mobile and web applications - Pricing and routing optimisationsto find the best fares for customers - Personalised userexperiences enhanced by generative AI - Data-driven digitalmarketing systems Our machine learning teams own the completedelivery lifecycle from ideation to production. We work closelywith stakeholders across the business to expand the understandingand impact of machine learning and AI throughout Trainline. We arelooking for a Machine Learning Engineer to join the Product ML teamto help shape the future of train travel. You will build highlyinnovative AI and ML products working alongside engineers,scientists and product managers to tackle complex challenges bycombining Trainline’s rich data sets with cutting edge algorithms.What unites our team is an expertise in the field, a love of whatwe do and the desire to create impactful solutions to supportTrainline’s goals of encouraging sustainable travel. As a part ofTrainline you will be joining an environment where learning anddevelopment is top priority. You will have the opportunity to workwith 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 managers- Design and deliver NLP based machine learning systems at scalethat drive measurable impact for our business - Own the full end toend machine 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 enable the acceleration of ourML products delivery and improve our workflows - Take an activepart in our AI and ML community and foster a culture of rigorouslearning and experimentation We'd love to hear from you if you... -Have an advanced degree in Computer Science, Mathematics or asimilar quantitative discipline - Understanding of NLP algorithmsand techniques and/or experience with Large Language Models (finetuning, RAG, agents) - Are proficient with Python, includingopen-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) -Have experience productionising machine learning models - Are anexpert in one of predictive modeling, classification, regression,optimisation or recommendation systems - Have experience with Spark- Have knowledge of DevOps technologies such as Docker andTerraform and ML Ops practices and platforms like ML Flow - Haveexperience with agile delivery methodologies and CI/CD processesand tools - Have a broad understanding of data extraction, datamanipulation and feature engineering techniques - Are familiar withstatistical methodologies. - Have good communication skills Nice tohave - Experience with LangGraph or LangChain - Experience withtransport industry and/or geographical information systems (GIS) -Experience with cloud infrastructure - Experience with graphtechnology and/or algorithms Our technology stack - Python andassociated ML/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas,LangChain/LangGraph, TensorFlow, etc...) - PySpark - AWS cloudinfrastructure: EMR, ECS, Athena, etc. - MLOps: Terraform, Docker,Airflow, MLFlow More information: Enjoy fantastic perks likeprivate healthcare & dental insurance, a generous work fromabroad policy, 2-for-1 share purchase plans, extra festive timeoff, and excellent family-friendly benefits. We prioritise careergrowth with clear career paths, transparent pay bands, personallearning budgets, and regular learning days. Jump on board andsupercharge your career from day one! Our values represent thethings that matter most to us and what we live and breathe everyday, in everything we do: - Think Big - We're building the futureof rail - Own It - We focus on every customer, partner and journey- Travel Together - We're one team - Do Good - We make a positiveimpact We know that having a diverse team makes us better and helpsus succeed. And we mean all forms of diversity - gender, ethnicity,sexuality, disability, nationality and diversity of thought. That'swhy we're committed to creating inclusive places to work, whereeveryone belongs and differences are valued and celebrated.Interested in finding out more about what it's like to work atTrainline? Why not check us out on LinkedIn, Instagram andGlassdoor! #J-18808-Ljbffr