Machine Learning Engineer FullTime London (London)

About us:

Read on to find out what you will need to succeed in this position, including skills, qualifications, and experience.
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, 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.
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 AI systems power critical aspects of our platform, including:
AI agents improving customer support and changing how we travel

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 generative AI

Data-driven digital marketing systems

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.
We are looking for a Machine Learning Engineer to join the Product ML team to help shape the future of train travel. You will build highly innovative AI and ML products working alongside engineers, scientists and product managers to tackle complex challenges by combining Trainline’s rich data sets 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 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 systems 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

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 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 a broad of understanding of data extraction, data manipulation and feature engineering techniques

Are familiar with statistical methodologies

Are skilled in one of reinforcement learning, predictive modelling (classification and regression) and have a solid understanding of recommendation systems

Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.)

Have experience with Spark

Have experience in productionising machine learning modelsand/or real-time systems

Have knowledge of DevOps technologies such as Docker and Terraform, building APIs, CI/CD processes and tools, and MLOps practices and platforms like MLFlow and monitoring

Have experience with agile delivery methodologies

Have good communication skills

Have an advanced degree in Computer Science, Mathematics or a similar quantitative discipline

Nice to have
Hands-on building large-scale reinforcement learning solutions for content recommendation

Experience with transport industry

Experience with cloud infrastructure

Experience with graph technology and/or algorithms

Have experience with NLP, designing, fine-tunning and developing GenAI models and building agent AI systems

Our technology stack
Python and associated ML/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas, TensorFlow, etc...)

PySpark

AWS cloud infrastructure: EMR, ECS, S3, Athena, etc.

MLOps: Terraform, Docker, Airflow, MLFlow, Jenkins

More information:
Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, 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 , and !

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