Trainline
Senior Machine Learning Engineer
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · London
Employer listed it 7 weeks ago · Added yesterday
Been open since 7 weeks ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
Hybrid · London
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Data
This employer didn't state pay. Jobs like this usually pay around $145k–$210k a year, a typical range taken from 255 senior-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around London, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "London, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
About us
At Trainline, our purpose is to empower greener travel choices, connecting people and places. 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
Requirements
- ·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
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Trainline, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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