{"data":{"company":{"name":"Trainline","slug":"trainline","logo_url":"https://logos.yubhub.co/thetrainline.com.png","canonical_domain":"thetrainline.com","editorial":null,"wikidata_id":null,"founded":null,"ceo":null,"founders":[],"hq_location":null,"industry":null,"employee_count":null,"official_website":null,"wikipedia_url":null,"stock_ticker":null,"stock_price":null,"market_cap":null,"revenue":null,"ipo_date":null,"sector":null,"full_time_employees":null,"company_description":null,"twitter_username":null,"linkedin_id":null,"instagram_username":null,"facebook_id":null,"parent_org":null,"country":null,"github_org":null,"github_public_repos":null,"github_followers":null,"github_verified":0,"github_description":null,"github_location":null,"github_blog":null,"github_twitter":null,"stock_exchange":null,"stock_beta":null,"stock_range":null,"stock_is_actively_trading":null,"fmp_image":null,"fmp_address":null,"fmp_city":null,"fmp_state":null,"fmp_country":null,"recent_news":[],"search_interest_index":null,"search_interest_trend":null,"wikipedia_monthly_views":null,"hn_mention_count":null,"hn_top_stories":[],"wayback_first_year":null,"sec_incorporation_state":null,"sec_latest_filing_type":null,"sec_latest_filing_date":null,"sec_filings":[],"research_papers_count":null,"research_citations_count":null,"research_h_index":null,"research_topics":[],"is_federal_contractor":null,"earnings_calendar":[],"industry_canonical":null,"enrichment_sources":[],"last_enriched_at":null},"hiring":{"total_jobs":35,"categories":[{"category":"engineering","count":14},{"category":"marketing","count":5},{"category":"data science","count":4},{"category":"sales","count":3},{"category":"finance","count":3},{"category":"security","count":1},{"category":"product management","count":1},{"category":"operations","count":1},{"category":"it","count":1},{"category":"human resources","count":1},{"category":"design","count":1}],"experience_levels":[{"level":"senior","count":25},{"level":"mid","count":2},{"level":"executive","count":1},{"level":"entry","count":1}],"work_arrangements":[{"arrangement":"hybrid","count":33},{"arrangement":"onsite","count":2}],"top_titles":[{"title":"Senior Data Scientist","count":2},{"title":"Senior Backend Engineer - .Net","count":2},{"title":"VAT Manager","count":1},{"title":"Senior Technical Support Analyst","count":1},{"title":"Senior Product Security Engineer","count":1},{"title":"Senior PPC Executive","count":1},{"title":"Senior Platform Engineer","count":1},{"title":"Senior MLOps Engineer","count":1},{"title":"Senior Machine Learning Engineer","count":1},{"title":"Senior Engineering Manager - Customer Growth","count":1},{"title":"Senior Brand Manager - 9 Month FTC","count":1},{"title":"Senior Advertising Sales Manager, Trainline Media","count":1},{"title":"Product Manager","count":1},{"title":"Platform Engineer","count":1},{"title":"People Operations Advisor","count":1}],"locations":[{"location":"london","count":31},{"location":"london, greater london","count":3},{"location":"barcelona","count":1}],"skills":[{"skill":"Python","required":11,"preferred":0,"total":11},{"skill":"Terraform","required":9,"preferred":1,"total":10},{"skill":"Data Analysis","required":9,"preferred":0,"total":9},{"skill":"Docker","required":7,"preferred":1,"total":8},{"skill":"Tableau","required":2,"preferred":4,"total":6},{"skill":"SQL","required":5,"preferred":1,"total":6},{"skill":"AWS","required":6,"preferred":0,"total":6},{"skill":"GitHub Actions","required":4,"preferred":2,"total":6},{"skill":"New Relic","required":4,"preferred":1,"total":5},{"skill":"MLFlow","required":4,"preferred":0,"total":4},{"skill":"CI/CD","required":4,"preferred":0,"total":4},{"skill":"C#","required":4,"preferred":0,"total":4},{"skill":"AI Tools","required":1,"preferred":2,"total":3},{"skill":"Automation","required":1,"preferred":2,"total":3},{"skill":"Leadership","required":2,"preferred":1,"total":3},{"skill":"Project Management","required":1,"preferred":2,"total":3},{"skill":"Artificial Intelligence","required":1,"preferred":2,"total":3},{"skill":"DevOps","required":3,"preferred":0,"total":3},{"skill":"Braintrust","required":2,"preferred":1,"total":3},{"skill":"NumPy","required":3,"preferred":0,"total":3}],"salary_stats":{"count":26,"min":34000,"q1":45000,"median":67500,"q3":85000,"max":127500},"job_types":[{"type":"full-time","count":35}],"latest_jobs":[{"id":"job_276d4dba-a4b","title":"Junior Android Engineer","source_url":"https://jobs.ashbyhq.com/trainline/df14e16b-3490-45eb-bef3-f9195f5f3b5b","location":"Barcelona","job_type":"full-time","experience_level":"entry","work_arrangement":"hybrid","category":"Engineering","description":"<p>At Trainline, our purpose is to empower greener travel choices, connecting people and places.</p>\n<p>You would be joining one of our 3 Mobile platform teams, which set the technical direction and provide the shared foundations, tools and standards that enable engineers to build, release and evolve the app safely and quickly.</p>\n<p>Key technologies include: Kotlin, Coroutines, Jetpack Compose, Dagger, SOLID principles with a huge focus on quality and clean code.</p>\n<p>As an Engineer at Trainline, you will:</p>\n<ul>\n<li>Be a part of a cross-functional team that will contribute to the design and implementation of our software in the product for Android users.</li>\n<li>Appreciate the value of agile and of engineering practices, and solid, clean code.</li>\n<li>Be actively involved in all aspects of the product lifecycle.</li>\n<li>Work closely with the team and Product to help drive &amp; deliver roadmaps.</li>\n<li>Help to build and deliver software using Agile practices (SCRUM, two weeks iterations), continuous integration and pair programming.</li>\n<li>Be delivering new functionalities and features, using the best tools and techniques for the job.</li>\n</ul>\n<p>We&#39;d love to hear from you if you:</p>\n<ul>\n<li>Have good working experience with Kotlin</li>\n<li>Are enthusiastic for a great user experience</li>\n<li>Have a passion for continuous delivery</li>\n<li>Have experience working with Git</li>\n<li>Have solid grasp of Design Patterns, SOLID &amp; Clean Code Principles, CI/CD</li>\n</ul>\n<p>Enjoy fantastic perks like private healthcare &amp; 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.</p>\n<p>We&#39;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.</p>","enriched_at":1793536779522},{"id":"job_c22e54e6-ee3","title":"Senior PPC Executive","source_url":"https://jobs.ashbyhq.com/trainline/82e6d23a-9c7c-441d-b193-e7caf7157802","location":"London, Greater London","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Marketing","description":"<p>We are seeking a Senior PPC Executive to join our Paid Search team at Trainline. As a Senior PPC Executive, you will play a central role in helping millions of people discover and book rail travel across Europe, the US, and the UK. You will manage and grow our PPC accounts across multiple markets, combining data, testing, and smart use of AI to turn search insight into sustainable growth.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop, launch, and scale paid search campaigns across EU markets, optimising for performance and growth</li>\n<li>Support the wider Paid Search team to run go-to-market campaigns for new launches from start to finish</li>\n<li>Deliver an always-on testing programme across ads, landing pages, and other areas</li>\n<li>Explore and apply AI tools and automation to improve how we build, optimise, and analyse campaigns</li>\n<li>Analyse campaign performance and test results, turning them into clear insights and practical recommendations</li>\n<li>Take ownership of your work with a high degree of autonomy, managing several priorities at once with care and attention to detail</li>\n<li>Work with large data sets to spot trends, solve problems, and uncover opportunities to grow our market share</li>\n<li>Collaborate with colleagues across the business to share learnings</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Fluency in English and strong communication skills</li>\n<li>Hands-on experience running and optimising Google Ads and Microsoft Ads accounts</li>\n<li>A solid understanding of digital marketing tactics, particularly how the Google auction works and automated bidding</li>\n<li>Confidence working with large data sets in Excel</li>\n<li>Curiosity and enthusiasm for using AI to work smarter</li>\n<li>A growth mindset and enthusiasm for developing your skills</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Private healthcare and dental insurance</li>\n<li>Generous work from abroad policy</li>\n<li>2-for-1 share purchase plans</li>\n<li>EV Scheme to further reduce carbon emissions</li>\n<li>Extra festive time off</li>\n<li>Excellent family-friendly benefits</li>\n</ul>","enriched_at":1793536760808},{"id":"job_3561b0fa-30d","title":"Account Executive","source_url":"https://jobs.ashbyhq.com/trainline/61f1667e-32b3-4709-b14c-2ba5d5230e86","location":"London, Greater London","job_type":"full-time","experience_level":"mid","work_arrangement":"hybrid","category":"Sales","description":"<p>We are seeking an ambitious and commercially minded Account Executive to join our Trainline Partner Solutions team, managing key relationships with Travel Management Companies in the UK and Europe.</p>\n<p>As an Account Executive at Trainline, you will be responsible for nurturing partnerships with major B2B clients, ensuring they achieve success with our technology and that Trainline continues to grow as their trusted digital rail partner.</p>\n<p>Key responsibilities:</p>\n<ul>\n<li>Provide day-to-day support to an assigned portfolio of Trainline Partner Solutions customers</li>\n<li>Build and manage successful customer relationships, becoming a trusted advisor for our partners</li>\n<li>Identify growth opportunities and execute them with the help of the team</li>\n<li>Get involved in ad-hoc projects and business support as needed</li>\n<li>Support on development and managing a customer communication plan</li>\n<li>Negotiation and renewal of existing customer contracts</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>1-2 years’ experience in Account Management, Customer Success, or Partnership Management, ideally within rail, business travel technology, or the travel space</li>\n<li>Fluency in English. Additional languages such as French, Spanish, German and/or Italian is advantageous</li>\n<li>Ability to build and maintain strong client relationships with enterprise or strategic partners</li>\n<li>Proven experience in managing multiple client workstreams and priorities</li>\n<li>Strong communication skills – written and verbal</li>\n<li>Confidence with your ability to find your way in ambiguous situations</li>\n<li>Passion for the rail industry, business travel, and sustainable mobility</li>\n<li>Experience using Salesforce in an account management/sales environment</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Private healthcare &amp; dental insurance</li>\n<li>Generous work from abroad policy</li>\n<li>2-for-1 share purchase plans</li>\n<li>EV Scheme to further reduce carbon emissions</li>\n<li>Extra festive time off</li>\n<li>Excellent family-friendly benefits</li>\n<li>Clear career paths</li>\n<li>Transparent pay bands</li>\n<li>Personal learning budgets</li>\n<li>Regular learning days</li>\n</ul>","enriched_at":1793536744090},{"id":"job_a431bf5b-9f3","title":"Lead Product Designer - 6 Month FTC","source_url":"https://jobs.ashbyhq.com/trainline/bb1f8b61-523b-4e78-81cf-779060de786a","location":"London, Greater London","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Design","description":"<p>At Trainline, our purpose is to empower greener travel choices, connecting people and places.</p>\n<p>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.</p>\n<p>As the Lead Product Designer, Pricing &amp; Value, you will help define how customers should feel when using our product, so they are confident they are getting the best value for their journey. You will lead design across a set of pricing and value initiatives, balancing strategic thinking with hands-on, high-quality execution.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Help define how customers should feel when using our product</li>\n<li>Lead design across a set of pricing and value initiatives</li>\n<li>Shape experiences that celebrate the savings we help customers make</li>\n<li>Work closely with Product, Engineering and Data partners to explore, validate and deliver experiences</li>\n<li>Collaborate with other Product Designers in the Value space and the wider Product and Design community</li>\n<li>Share clear, compelling stories that bring colleagues together around complex problems</li>\n<li>Explore how AI-enabled tools and workflows can improve the speed and effectiveness of how we design</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Significant experience leading Product Design or UX within complex, consumer-facing digital products</li>\n<li>Experience designing journey-based, real-time or service-oriented experiences</li>\n<li>Strong hands-on design skills, including high proficiency in Figma</li>\n<li>A history of using research, insight and data-informed experimentation to improve outcomes</li>\n<li>Confidence designing across channels, ideally with a focus on mobile apps</li>\n<li>Excellent communication and storytelling skills</li>\n<li>A proactive mindset and a collaborative approach with Product, Engineering and Operational teams</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Private healthcare &amp; dental insurance</li>\n<li>Generous work from abroad policy</li>\n<li>2-for-1 share purchase plans</li>\n<li>An EV Scheme to further reduce carbon emissions</li>\n<li>Extra festive time off</li>\n<li>Excellent family-friendly benefits</li>\n</ul>","enriched_at":1793536729633},{"id":"job_9a9dca09-35e","title":"Senior Platform Engineer","source_url":"https://jobs.ashbyhq.com/trainline/6e8ba16f-7cc4-41e7-9c63-0115509e07ae","location":"London","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>As a Senior Platform Engineer at Trainline, you will deliver complex improvements to our engineering platforms, building scalable, reliable, and secure infrastructure that supports teams across the business.</p>\n<p>You will implement and evolve infrastructure with Terraform, following existing module patterns while spotting opportunities to improve quality, maintainability, and automation.</p>\n<p>Your responsibilities will include:</p>\n<ul>\n<li>Delivering complex improvements to Trainline&#39;s engineering platforms</li>\n<li>Implementing and evolving infrastructure with Terraform</li>\n<li>Applying least-privilege and secure-by-default principles consistently across our AWS accounts</li>\n<li>Building and improving automation, services, and tooling in Node.js or Python</li>\n<li>Supporting and reviewing the work of other engineers</li>\n<li>Working with Tech Leads, Delivery Managers, and cross-functional stakeholders to shape delivery plans</li>\n<li>Raising risks, blockers, and quality concerns early</li>\n<li>Testing, validating, and deploying infrastructure changes through CI/CD pipelines</li>\n</ul>\n<p>We are looking for someone with substantial professional experience as a software engineer, writing code in Python, Node.js, C#, or a similar programming language.</p>\n<p>Requirements include:</p>\n<ul>\n<li>Solid knowledge of software engineering best practice</li>\n<li>Hands-on experience with AWS services such as ECS, Lambda, CloudFront, IAM, and S3</li>\n<li>History of delivering infrastructure with Terraform or another infrastructure as code tool</li>\n<li>Confident understanding of DevOps practices and CI/CD</li>\n<li>Experience using AI tooling in your day-to-day work</li>\n<li>Experience of delivering results in agile, delivery-focused teams</li>\n<li>Curious mindset and the ability to pick up new technologies quickly</li>\n</ul>\n<p>We offer a salary range of £80K – £90K, plus fantastic benefits including private healthcare, dental insurance, a generous work from abroad policy, and excellent family-friendly benefits.</p>","enriched_at":1793458440839},{"id":"job_99b2496f-63d","title":"Senior MLOps Engineer","source_url":"https://jobs.ashbyhq.com/trainline/887ed309-575c-4dc1-ad7c-a4453aeadd51","location":"London","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>As a Senior MLOps Engineer at Trainline, you will play a leading technical role in helping teams adopt and operate ML and AI tooling. You will work on systems that are already being built and used across Trainline, focusing on infrastructure and tooling behind internal ML/AI platforms and customer-facing products.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Take a leading technical role in helping teams across Trainline adopt and operate ML and AI tooling</li>\n<li>Support AI infrastructure, working with teams building internal platforms and customer-facing products</li>\n<li>Build and drive adoption of standard ways to deploy ML and AI products</li>\n<li>Automate modernisation of services across products</li>\n<li>Strengthen MLOps foundations by improving cost tracking, reducing costs, and addressing security vulnerabilities</li>\n<li>Contribute to technical strategy and communicate technical decisions clearly</li>\n<li>Mentor fellow engineers and share knowledge</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Hands-on experience with IaC and CI/CD tooling (e.g. Terraform, GitHub Actions)</li>\n<li>Experience with containerised workloads using Docker and cloud platforms (e.g. AWS, GCP, Azure)</li>\n<li>Experience productionising AI products, including agentic systems and AIOps tooling</li>\n<li>Experience with managed or self-hosted ML infrastructure (e.g. Amazon SageMaker, feature stores)</li>\n<li>Experience writing production-quality, tested Python code</li>\n<li>Clear communication and prioritisation skills</li>\n</ul>\n<p>Nice to haves:</p>\n<ul>\n<li>Knowledge of cloud topics such as networking fundamentals and identity and access management</li>\n<li>Experience with Trainline&#39;s wider tech stack and partners</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>£80K – £107.5K salary</li>\n<li>Private healthcare and dental insurance</li>\n<li>Generous work from abroad policy</li>\n<li>2-for-1 share purchase plans</li>\n<li>EV Scheme</li>\n<li>Extra festive time off</li>\n<li>Excellent family-friendly benefits</li>\n</ul>","enriched_at":1793458191036},{"id":"job_57c57fe8-1e4","title":"Platform Engineer","source_url":"https://jobs.ashbyhq.com/trainline/8536b13b-5ff7-4551-a77d-88d8b4dd43f5","location":"London","job_type":"full-time","experience_level":null,"work_arrangement":"hybrid","category":"Engineering","description":"<p>As a Platform Engineer at Trainline, you will contribute to improvements across Trainline&#39;s engineering platforms, building scalable, reliable and secure infrastructure that supports teams across the business.</p>\n<p>You will implement infrastructure changes with Terraform, following existing module patterns and suggesting ideas to improve quality, maintainability and automation.</p>\n<p>You will apply least-privilege and secure-by-default principles across our AWS accounts, helping our infrastructure meet Trainline&#39;s standards for security and operational excellence.</p>\n<p>You will build and improve automation, services and tooling in Node.js or Python to make delivery faster, safer and more repeatable.</p>\n<p>You will learn and grow with your colleagues through code reviews, pairing and shared knowledge, giving and receiving constructive feedback along the way.</p>\n<p>You will work with Tech Leads, Delivery Managers and cross-functional colleagues to understand priorities, plan your work and manage dependencies.</p>\n<p>You will raise risks, blockers and questions early, helping the team keep delivery moving at a sustainable pace.</p>\n<p>You will test, validate and deploy infrastructure changes through CI/CD pipelines, making sure they are robust, well documented and ready for production.</p>\n<p>The Infrastructure Engineering and Tooling team, also known as Atlas, owns the ecosystem used to deploy, run and manage services across the Trainline platform.</p>\n<p>The team works across Terraform, AWS, Node.js, C# and Python.</p>\n<p>Benefits include:</p>\n<ul>\n<li>Private healthcare and dental insurance</li>\n<li>Generous work from abroad policy</li>\n<li>2-for-1 share purchase plans</li>\n<li>An EV Scheme to further reduce carbon emissions</li>\n<li>Extra festive time off</li>\n<li>Excellent family-friendly benefits</li>\n<li>Clear career paths</li>\n<li>Transparent pay bands</li>\n<li>Personal learning budgets</li>\n<li>Regular learning days</li>\n</ul>","enriched_at":1793458119178},{"id":"job_7c76a8aa-7d2","title":"Android Engineer","source_url":"https://jobs.ashbyhq.com/trainline/23fb0d68-f4fe-487d-86d0-093650405932","location":"London","job_type":"full-time","experience_level":null,"work_arrangement":"hybrid","category":"Engineering","description":"<p>We are looking for an Android Engineer to join our Mobile team at Trainline. As an Android specialist, you will be part of a cross-functional team that contributes to the design and implementation of our software in the product for Android users.</p>\n<p>The Mobile team builds the travel companion in your pocket, allowing users to travel smart. You will work on the mobile app and buy-flow process, using key technologies such as Kotlin, Coroutines, Jetpack Compose, Dagger, and SOLID principles, with a focus on quality and clean code.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Contribute to the design and implementation of software for Android users</li>\n<li>Work closely with the team and Product to drive and deliver roadmaps</li>\n<li>Build and deliver software using Agile practices, continuous integration, and pair programming</li>\n<li>Deliver new functionalities and features using the best tools and techniques for the job</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Good working experience with Kotlin</li>\n<li>Enthusiasm for a great user experience</li>\n<li>Passion for continuous delivery</li>\n<li>Experience working with Git</li>\n<li>Solid grasp of Design Patterns, SOLID &amp; Clean Code Principles, CI/CD</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>£55K – £70K salary</li>\n<li>Private healthcare and dental insurance</li>\n<li>Generous work from abroad policy</li>\n<li>2-for-1 share purchase plans</li>\n<li>EV Scheme to reduce carbon emissions</li>\n<li>Extra festive time off</li>\n<li>Excellent family-friendly benefits</li>\n<li>Clear career paths and transparent pay bands</li>\n<li>Personal learning budgets and regular learning days</li>\n</ul>","enriched_at":1793458000651},{"id":"job_4031dc47-e53","title":"Machine Learning Engineer","source_url":"https://jobs.ashbyhq.com/trainline/7c9c4568-4b40-4f55-b4f4-d186d9053203","location":"London","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>At Trainline, our purpose is to empower greener travel choices, connecting people and places.</p>\n<p>We&#39;re Europe&#39;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.</p>\n<p>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.</p>\n<p>We&#39;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.</p>\n<p><strong>Introducing Machine Learning &amp; AI at Trainline</strong></p>\n<p>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:</p>\n<ul>\n<li>Advanced search and recommendations capabilities across our mobile and web applications</li>\n<li>Pricing and routing optimisations to find the best fares for customers</li>\n<li>Personalised user experiences enhanced by agentic AI</li>\n<li>Data-driven digital marketing systems</li>\n<li>AI agents improving customer support</li>\n</ul>\n<p>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.</p>\n<p><strong>About The Role</strong></p>\n<p>We are looking for Machine Learning Engineers to join our team help shape the future of train travel. You&#39;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&#39;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&#39;s goals of encouraging sustainable travel.</p>\n<p>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 &amp; AI enthusiasts on large-scale production systems, delivering highly impactful products that make a difference to our millions of customers.</p>\n<p><strong>As a Machine Learning Engineer at Trainline you will...</strong></p>\n<ul>\n<li>Work in cross-functional teams combining data scientists, software, data and machine learning engineers, and product managers</li>\n<li>Design and deliver machine learning models and/or AI solutions at scale that drive measurable impact for Trainline</li>\n<li>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</li>\n<li>Partner with stakeholders to propose innovative data products that leverage Trainline&#39;s extensive datasets and state of the art algorithms</li>\n<li>Create the tools, frameworks and libraries that enables the acceleration of our ML &amp; AI products delivery and improve our workflows</li>\n<li>Take an active part in our AI and ML community and foster a culture of rigorous learning and experimentation</li>\n</ul>\n<p><strong>We&#39;d love to hear from you if you...</strong></p>\n<ul>\n<li>Have an advanced degree in Computer Science, Mathematics, Statistics or a similar quantitative discipline</li>\n<li>Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.)</li>\n<li>Have experience productionising machine learning models and/or AI solutions</li>\n<li>Are an expert in one of predictive modelling, classification, regression, optimisation, NLP algorithms or recommendation systems</li>\n<li>Have experience with Spark</li>\n<li>Have knowledge of DevOps technologies such as Docker and Terraform and ML Ops practices and platforms like ML Flow</li>\n<li>Have experience with agile delivery methodologies and CI/CD processes and tools</li>\n<li>Have a broad understanding of data extraction, data manipulation and feature engineering techniques</li>\n<li>Are familiar with statistical methodologies</li>\n<li>Have great communication skills</li>\n</ul>\n<p><strong>Nice to have:</strong></p>\n<ul>\n<li>Experience with transport industry and/or geographical information systems (GIS)</li>\n<li>Experience with cloud infrastructure</li>\n<li>Experience with Large Language Models (fine tuning, RAG, agents)</li>\n<li>Experience with graph technology and/or algorithms</li>\n</ul>\n<p><strong>More information:</strong></p>\n<p>Enjoy fantastic perks like private healthcare &amp; 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.</p>\n<p>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!</p>\n<p>We&#39;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.</p>\n<p>Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do:</p>\n<ul>\n<li>Think Big - We&#39;re building the future of rail</li>\n<li>Own It - We focus on every customer, partner and journey</li>\n<li>Travel Together - We&#39;re one team</li>\n<li>Do Good - We make a positive impact</li>\n</ul>","enriched_at":1793457984186},{"id":"job_e75cdad6-c20","title":"Senior Data Scientist","source_url":"https://jobs.ashbyhq.com/trainline/2757aa18-5e60-45cf-ac9d-be11dee1afe2","location":"London","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Data Science","description":"<p>As a Senior Data Scientist at Trainline, you will be embedded within Trainline Partner Solutions (TPS), the B2B arm of Trainline. You will be responsible for influencing product and business outcomes, have the autonomy to make things happen, and must obsess about having business impact.</p>\n<p>Your main focus will be on driving impact within the product team, drawing on whatever analytical and statistical techniques that will unlock the most benefits. You will:</p>\n<ul>\n<li>Develop deep understanding of product experiences and opportunities for growth.</li>\n<li>Actively contribute to roadmap and goals for the product team.</li>\n<li>Drive regular cross-functional team reviews to measure progress toward goals.</li>\n<li>Discover and articulate new product opportunities helping shape the team&#39;s direction.</li>\n<li>Support product experiments, launches, growth through data-driven decision making while keeping the team accountable and impactful.</li>\n<li>Define focus through metrics to enable a broad spectrum of learning from experimentation/release cycles.</li>\n</ul>\n<p>We&#39;d love to hear from you if you have:</p>\n<ul>\n<li>5+ years commercial experience using data science and analytics to drive business decisions.</li>\n<li>Ability to distil and communicate results of complex analysis clearly and effectively to all levels including senior management.</li>\n<li>Experience of product engagement evaluation and measurement of success.</li>\n<li>Ability to navigate data sets of varying complexity/ambiguity and conduct analysis to derive clear insights and actionable results.</li>\n<li>Experience using AI to responsibly accelerate coding for analysis.</li>\n<li>Strong PowerPoint and presentation/communication skills.</li>\n<li>Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc.</li>\n<li>Expertise in predictive modelling, including both parametric and non-parametric techniques.</li>\n<li>Tech Stack: SQL, Python, R, Tableau, AWS Athena + More!</li>\n</ul>\n<p>Enjoy fantastic perks like private healthcare &amp; dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme, extra festive time off, and excellent family-friendly benefits.</p>","enriched_at":1793457865128}],"category_normalised":[{"category":"engineering","count":14},{"category":"marketing","count":5},{"category":"data science","count":4},{"category":"sales","count":3},{"category":"finance","count":3},{"category":"security","count":1},{"category":"product management","count":1},{"category":"operations","count":1},{"category":"it","count":1},{"category":"human resources","count":1},{"category":"design","count":1}],"velocity":{"weeks":[{"week_start":"2026-10-19","count":6},{"week_start":"2026-10-26","count":29}],"trend":"stable","wow_pct":383},"momentum":{"recent_14d":35,"prior_14d":0,"growth_pct":0,"classification":"stable"},"salary_vs_industry":{"company_median":86360,"industry_median":null,"percentile":null,"sample_size":26,"by_region":[{"region":"United Kingdom","company_median":86995,"industry_median":null,"sample":25}],"transparency_pct":74,"industry_transparency_pct":0,"transparency_warning":false},"market_share":{"company_jobs":35,"industry_total":35,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.312,"skill_weighted_score":0.365,"top_exposed_titles":[{"title":"Senior Data Scientist","count":2,"score":0.461},{"title":"Senior Backend Engineer - .Net","count":2,"score":0.288}],"top_exposed_skills":[{"skill":"SQL","count":4,"score":0.461},{"skill":"Python","count":8,"score":0.417},{"skill":"Artificial Intelligence","count":3,"score":0.403},{"skill":"Tableau","count":4,"score":0.368},{"skill":"Docker","count":5,"score":0.357},{"skill":"Data Analysis","count":5,"score":0.34},{"skill":"Automation","count":3,"score":0.338},{"skill":"Terraform","count":7,"score":0.337},{"skill":"CI/CD","count":3,"score":0.288},{"skill":"New Relic","count":3,"score":0.288}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"United Kingdom","count":34,"share_pct":97.1},{"region":"EU","count":1,"share_pct":2.9}],"emerging":[{"region":"United Kingdom","recent_30d":34,"prior_30d":0,"growth_pct":100}],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":3,"exec_prior_90d_avg":0,"exec_growth_pct":100,"notable_exec_hires":[{"title":"Head of Machine Learning Engineering","location":"London","posted_at":"2026-10-28"},{"title":"Head of Group Reporting - 6 Month FTC","location":"London","posted_at":"2026-10-27"},{"title":"Head of Group Reporting","location":"London","posted_at":"2026-10-25"}]},"posting_dynamics":{"median_days_open":null,"industry_median_days_open":null,"long_open_count":0,"closure_rate_pct":10}}}}