Machine Learning jobs in United Kingdom

We 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 Trainline 🚄

Now Europe’s 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.

At the heart of our Data Team, Data Engineers create the pipelines and tables that power business‑critical dashboards, enable self‑service analytics, and fuel advanced machine learning models and real‑time data products. Working with cutting‑edge tools like DBT, Spark, and Airflow, you’ll transform high‑volume raw event data into user‑friendly, high‑impact datasets.

We work cross‑functionally with Machine Learning Engineers, Data Scientists and BI Developers, driving data‑driven decisions across the business. Our engineers enjoy autonomy, innovation, and continual learning, with structured progression paths and access to training resources.

As part of the Search and Buy team, you’ll work at the intersection of data engineering and machine learning, building the data foundations that power Trainline’s core search and purchase experiences. You’ll help design and maintain feature stores and data pipelines that feed ML models tackling advanced, high‑impact problems from improving search relevance and pricing predictions to powering conversational AI features that make travel discovery and booking more intuitive for our users.

• Design and build scalable data pipelines, data models, and feature stores to support analytics and ML workloads.

• Deploy and manage cloud‑native data applications on AWS using CI/CD pipelines to automate builds, testing, and releases.

• Ensure the technical quality, performance, and reliability of production‑grade data pipelines through strong observability and engineering best practices.

• Have strong experience in Python and SQL.

• Are skilled in data modelling and building optimised and efficient data marts and warehouses in the cloud.

• Have built data pipelines with tools like Spark, Airflow, and AWS services like S3, SQS, Glue, ECS or EMR.

• Work with modern data formats such as Parquet and Iceberg for efficient storage and querying in our data lake.

• Are comfortable working with both real‑time and batch data workloads, applying modern data transformation and orchestration patterns.

• Have worked with Infrastructure as Code (Terraform) and containerisation (Docker) to automate and standardise deployments.

• Have contributed to or maintained CI/CD pipelines (Jenkins, GitHub Actions) as part of production‑grade data systems.

• Enjoy solving complex data problems and collaborating in a fast‑moving environment.

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!

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, Instagram and Glassdoor!