Join to apply for the

Machine Learning Engineer - Search

role at

Trainline

Join to apply for the

Machine Learning Engineer - Search

role at

TrainlineGet AI-powered advice on this job and more exclusive features.About UsWe are champions of rail, inspired to build a greener, more sustainable future of travel. 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.About UsWe are champions of rail, inspired to build a greener, more sustainable future of travel. 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 TrainlineNow Europes number 1 downloaded rail app, with over 125 million monthly visits and 5.9 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, eco-friendly and affordable as it should be.Today, we''re a FTSE 250 company driven by our incredible team of over 1,000 Trainliners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey.Introducing Machine Learning and AI at TrainlineMachine Learning Is At The Heart Of Trainline''s Mission To Help Millions Of People Make Sustainable Travel Choices Every Day. Our AI Systems Power Critical Aspects Of Our Platform, IncludingAI agents improving customer support and changing how we travelAdvanced search and recommendations capabilities across our mobile and web applicationsPricing and routing optimisations to find the best fares for customersPersonalised user experiences enhanced by generative AIData-driven digital marketing systems

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.We are looking for a Machine Learning Engineer to join the Product ML team to help shape the future of train travel. You will build highly innovative AI and ML products working alongside engineers, scientists and product managers to tackle complex challenges by combining Trainlines rich data sets 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 Trainlines 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 Machine Learning Engineer at Trainline you will...Work in cross-functional teams combining data scientists, software, data and machine learning engineers, and product managersDesign and deliver NLP based machine learning systems at scale that drive measurable impact for our businessOwn the full end to end machine learning delivery lifecycle including data exploration, feature engineering, model selection and tuning, offline and online evaluation, deployments and maintenancePartner with stakeholders to propose innovative data products that leverage Trainlines extensive datasets and state of the art algorithmsCreate the tools, frameworks and libraries that enables the acceleration of our ML products delivery and improve our workflowsTake 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 disciplineUnderstanding of NLP algorithms and techniques and/or experience with Large Language Models (fine tuning, RAG, agents)Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.)Have experience productionising machine learning modelsAre an expert in one of predictive modeling, classification, regression, optimisation or recommendation systemsHave experience with SparkHave knowledge of DevOps technologies such as Docker and Terraform and ML Ops practices and platforms like ML FlowHave experience with agile delivery methodologies and CI/CD processes and toolsHave a broad of understanding of data extraction, data manipulation and feature engineering techniquesAre familiar with statistical methodologies.Have good communication skills

Nice to haveExperience with LangGraph or LangChainExperience with transport industry and/or geographical information systems (GIS)Experience with cloud infrastructureExperience with graph technology and/or algorithms

Our technology stackPython and associated ML/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas, LangChain/LangGraph, TensorFlow, etc...)PySparkAWS cloud infrastructure: EMR, ECS, Athena, etc.MLOps: Terraform, Docker, Airflow, MLFlow

More InformationEnjoy fantastic perks like private healthcare and 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!Our Values Represent The Things That Matter Most To Us And What We Live And Breathe Everyday, In Everything We DoThink Big - We''re building the future of railOwn It - We focus on every customer, partner and journeyTravel Together - We''re one teamDo 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, Instagram and Glassdoor!

Seniority level

Seniority level

Mid-Senior levelEmployment type

Employment type

Full-timeJob function

Job function

Engineering and Information TechnologyIndustries

Technology, Information and InternetReferrals increase your chances of interviewing at Trainline by 2xGet notified about new Machine Learning Engineer jobs in

London, England, United Kingdom

.London, England, United Kingdom 15 hours agoLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 4 days agoLondon, England, United Kingdom 3 weeks agoLondon, England, United Kingdom 2 days agoLondon, England, United Kingdom 2 months agoMachine Learning Scientists and Engineers: AI for Quantum

London, England, United Kingdom 3 months agoLondon, England, United Kingdom 3 weeks agoLondon, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 7 hours agoLondon, England, United Kingdom 4 weeks agoLondon, England, United Kingdom 2 months agoLondon, England, United Kingdom 1 month agoLondon, England, United Kingdom 2 days agoLondon, England, United Kingdom 2 weeks agoMachine Learning Engineer - Search and Recommendation

London, England, United Kingdom 1 month agoLondon, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 3 months agoLondon, England, United Kingdom 5 days agoLondon, England, United Kingdom 6 months agoLondon, England, United Kingdom 2 weeks agoResearch Engineer, ML, AI and Computer Vision

London, England, United Kingdom 19 hours agoLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 3 weeks agoLondon, England, United Kingdom 7 hours agoLondon, England, United Kingdom 1 month agoGreater London, England, United Kingdom 3 days agoLondon, England, United Kingdom 1 week agoWere unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.#J-18808-Ljbffr