---
title: 'Senior Machine Learning Engineer at Trainline'
canonical: 'https://feeny.ai/job/senior-machine-learning-engineer-trainline-london-ck8h2hwefcbc'
type: 'job'
last_seen: '2026-09-06'
---

# Senior Machine Learning Engineer at Trainline

- **Company:** Trainline
- **Location:** London, United Kingdom
- **Compensation:** £75k–£98k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-06
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/trainline/1cf3f80c-8083-415a-967f-c125600a2c3d

## 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 the Trainline Machine Learning and AI Team 👋

Machine learning sits at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our models power some of the most important parts of the platform, from search and recommendations across mobile and web, to pricing and routing optimisation, personalised experiences enhanced by generative AI, data-driven marketing, and AI agents that support our customers.

Our machine learning teams own the complete delivery lifecycle from ideation through to production, working closely with engineers, data scientists and product managers across the business to grow the understanding and impact of machine learning and AI throughout Trainline. As a Senior Machine Learning Engineer, you will bring deep technical expertise and sound judgement to some of our most complex problems, and will play a key role in shaping technical direction and influencing stakeholders across the business, while helping to raise the capability of those around you.

In this role as the Senior Machine Learning Engineer, you will... 🚄

- Work within cross-functional teams alongside data scientists, software engineers, data engineers and product managers
- Design and deliver machine learning models at scale that create measurable impact for the business
- Own the end-to-end machine learning delivery lifecycle, including data exploration, feature engineering, model selection and tuning, evaluation, deployment and maintenance
- Shape technical direction for your area, making well-reasoned architectural and modelling decisions that stand up at scale
- Partner with and influence stakeholders across the business to propose innovative data products that make the most of Trainline's extensive datasets and the latest algorithms
- Build tools, frameworks and libraries that accelerate the delivery of ML products and improve team workflows
- Provide technical mentorship and support the development of less experienced engineers, without formal people management responsibility
- Take an active role in our AI and ML community, helping 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 related quantitative discipline, or equivalent experience
- Considerable experience productionising machine learning models, with strength in an area such as predictive modelling, classification, regression, optimisation or recommendation systems
- Strong proficiency in Python and open-source data libraries such as Pandas, NumPy and Scikit-learn
- A solid grounding in statistical methodologies, along with data extraction, manipulation and feature engineering techniques
- Experience with Spark, agile delivery methods and CI/CD practices
- Familiarity with DevOps and MLOps tools and practices, such as Docker, Terraform and MLFlow
- Confidence influencing and communicating with stakeholders across technical and non-technical teams
- Ideally, exposure to cloud infrastructure, NLP or large language models (such as fine-tuning, RAG or agents), graph technologies, or experience in the transport sector or with geographic information systems (GIS)

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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