Junior Machine Learning Engineer
Trainline LondonEst. Est. GBP 40,000–60,000 / yearJunior
Estimated range based on role, country and industry — not published by the company.
Key requirements
- Python
- Spark
- Airflow
- Aws
- Docker
- Terraform
- Ci/Cd
- Machine Learning
- Nlp
- Agile
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 Machine Learning and AI at Trainline 👋
Machine learning is at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our ML models 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 Reinforced Learning Agents & Generative 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.
The Role:
We are looking for a Junior Machine Learning Engineer to join our team help shape the future of train travel. You will be part of a highly innovative AI and ML platform working alongside engineers, scientists and product managers to tackle complex challenges 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 enthusiasts on large-scale production systems, delivering highly impactful products that make a difference to our millions of users.
As a Junior 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 at scale that drive measurable impact for our business
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
Work with MLE Team and Stakeholders to help design and deliver data driven products using Trainline's extensive datasets and modern machine learning techniques
Create the tools, frameworks and libraries that enables the acceleration of our ML 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 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
Are an expert in one of predictive modeling, classification, regression, optimisation or recommendation systems
Have experience with Spark
Have knowledge of DevOps technol
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