---
title: 'Machine Learning Engineer at Trainline'
canonical: 'https://feeny.ai/job/machine-learning-engineer-trainline-london-fts7ag9yd8rq'
type: 'job'
last_seen: '2026-10-18'
---

# Machine Learning Engineer at Trainline

- **Company:** Trainline
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-08
- **Last confirmed live:** 2026-10-18
- **Apply:** https://jobs.ashbyhq.com/trainline/7c9c4568-4b40-4f55-b4f4-d186d9053203

## 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 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)!

## About Trainline

## Company Overview
- **One-liner**: Trainline is Europe’s leading independent rail platform, enabling travelers to search, book, and manage rail and coach tickets across 40+ countries via its website and mobile app.
- **Entity Type**: Public (London Stock Exchange: TRN; FTSE 250 & FTSE4Good Index constituent)
- **Headquarters**: London, United Kingdom (with offices in Edinburgh, Barcelona, Milan, and Paris)
- **Founded**: 1999 (by Virgin Group, originally a phone-based ticketing service)
- **Founders**: The company was founded by the Virgin Group; current leadership includes CEO Jody Ford (joined 2024)

## Core Business
- **Primary industry/industries**: Online travel & ticketing; rail technology; mobility services
- **Target customers**: B2C (individual travelers) and B2B (rail and coach operators via Trainline Solutions)
- **Mission or purpose statement**: “We’re building the world’s number one rail platform, giving people a simpler, greener travel experience.” The company is anchored in environmental sustainability — empowering people to make greener travel choices.

## Products & Services
- **[Trainline Consumer App/Website]**: A multi-channel platform (iOS, Android, web) allowing users to search, compare, book, and manage rail and coach tickets across 270+ carriers in 40+ countries. Features include live journey planners, eTickets, PriceBot (lowest fare alerts), and carbon footprint tracking. Over 125 million visits per month and 350+ searches per second.
- **[Trainline Solutions]**: A B2B segment offering white-label ticketing, data, and technology services to rail and coach operators, including APIs, retailing tools, and customer analytics.
- **[Platform One]**: The proprietary technology infrastructure powering all Trainline services across markets.
- **[‘I Came By Train’ Initiative]**: A sustainability campaign promoting rail over air/car travel, with customer tools like ‘My Sustainability Story’ and ‘Super Routes’ for CO2 tracking.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (public company; market cap fluctuates). Annual Report data available via LSE filings.
- **Key Metric**: Annual Net Ticket Sales exceeded £5 billion (as of latest reports); International segment reached £1 billion in ticket sales.
- **Notable Investors/Partners**: Initially backed by Virgin Group; now publicly listed on the London Stock Exchange. No single controlling investor disclosed. Key rail partners include 270+ operators globally (e.g., SNCF, Renfe, Trenitalia, UK train operators).
- **Growth Signals**: Europe’s most downloaded rail travel app; 93% of UK consumer transactions via mobile; 70% of International consumer transactions via app; growing headcount (c.990 people from ~60 nationalities); joined FTSE 250 shortly after IPO; net-zero targets approved by Science Based Targets Initiative (SBTi).

## Competitive Advantages
- **Scale & Data Moat**: Over 125 million monthly visits and 350 searches/second provide massive user behavior data for route optimization, pricing algorithms, and demand forecasting.
- **Multi-Country Regulatory & Integration Expertise**: Deep integration with 270+ rail/coach operators across highly fragmented European rail markets — a strong barrier to entry.
- **Sustainability as Brand Differentiator**: First tech company with SBTi-approved net-zero targets; carbon comparison tools embedded in UX (“87% less CO2 than air travel”). This aligns with growing consumer and regulatory push for greener transport.
- **Cross-Channel Dominance**: High mobile adoption (93% UK/70% International app transactions) combined with strong web presence.
- **Recurring Model via B2B Solutions**: Trainline Solutions provides stickiness with operators beyond the consumer marketplace.

## Strategic Focus
- **International Expansion**: Growing non-UK markets (e.g., Spain, Italy, France) — international segment hit £1bn ticket sales.
- **Modal Shift Marketing**: Driving rail vs. air/car through initiatives like ‘I Came By Train’ and sustainability features.
- **Technology & Personalization**: Investing in AI/ML for dynamic pricing, journey optimization, and personalized recommendations via Platform One.
- **Sustainability Leadership**: Continued investment in carbon tracking features and SBTi-aligned net-zero roadmap.
- **B2B Growth**: Scaling Trainline Solutions to onboard more operators and geographies.

## Why Work Here
- **Culture & Values**: Four core values — “Think Big,” “Own It,” “Travel Together,” “Do Good” — shape culture. Emphasis on innovation, accountability, inclusion, and positive environmental impact.
- **Flexible/Hybrid Work**: Hybrid policy requiring 60% minimum in-office over 12-week period; plus a 28-day “Work from Abroad” policy per year.
- **Benefits**: 25 days annual leave + 2 extra days over festive period + option to buy 3 extra days; Bupa health & dental cover; gym discount; Employee Assistance Programme; income protection; global share incentive plan; Perkbox discounts; enhanced parental leave; fertility and parental bereavement coaching.
- **Diversity & Inclusion**: 55+ nationalities, c.990 employees. Active employee-led networks: Women in Leadership, Gender Equality Network, Ethnic Diversity Network, Rainbow Train (LGBTQIA+), Sunflower (accessibility), Parents & Carers.
- **Career Development**: Personal learning budget; digital learning platform (Learning Express); workshops and development programmes; internal mobility encouraged; transparent pay bands; promotion windows twice a year (~10% of employees promoted annually).
- **Office Locations**: Modern offices in London (HQ), Edinburgh, Barcelona (tech hub with sunny terrace), Milan, Paris. Perks include free breakfast, pool tables, event spaces, stocked drinks fridges, and outdoor BBQs in some locations.
- **Impact**: Opportunity to work on a platform with 125M+ monthly visits, driving modal shift and reducing carbon emissions.

## Sources
1. [trainlinegroup.com/careers/en/who-we-are/](https://www.trainlinegroup.com/careers/en/who-we-are/)
2. [trainlinegroup.com/careers/en/](https://www.trainlinegroup.com/careers/en/)
3. [trainlinegroup.com](https://www.trainlinegroup.com/)
4. [trainlinegroup.com/careers/en/life-at-trainline/](https://www.trainlinegroup.com/careers/en/life-at-trainline/)
5. [trainlinegroup.com/careers/en/how-we-hire/](https://www.trainlinegroup.com/careers/en/how-we-hire/)

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