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Junior Data Science Data Science Junior Big Data Engineer

4 months ago

Edinburgh, United Kingdom Candidate 1st Full time

We are champions of rail, inspired to build a greener, more sustainable future of travel. 3 billion in net ticket sales, we're always innovating and making moves towards our final destination — a world where travel is as simple, seamless, and affordable as it should be. 
And we couldn't do any of it without our incredible people driving us forward. It's this diversity that energises us and makes us stronger, helping us to achieve amazing things. 
Introducing Machine Learning at Trainline 
Machine Learning is at the heart of Trainline’s mission to help millions of people make sustainable travel choices every day. For instance our ML models provide state of the art search capabilities on our apps, find the cheapest price for millions customers, improve user experience with generative AI and power our digital marketing capabilities amongst other things. Our embedded machine learning teams responsible for delivering these products own the full end to end delivery lifecycle from ideation to production and collaborate closely with the wider business to help develop the understanding and impact of machine learning and AI across all areas of Trainline. 
We are looking for a Machine Learning Engineer to join our team and play a key role in helping Trainline provide the best experience to our millions of customers. You will be part of a highly innovative AI and ML platform working alongside data engineers, data scientists and product managers to solve interesting and difficult problems by combining Trainline’s rich datasets with cutting edge technology and 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 not only receive a competitive salary and benefits, but you’ll be joining an environment where your development is a top priority. As a Machine Learning Engineer at Trainline you will...
Work in cross-functional teams combining data science, data engineering, BI, machine learning and product management 
Implement and deploy machine learning models at scale that drive measurable impact for our business 
Partner with stakeholders to propose innovative data products that leverage Trainline’s rich datasets and state of the art ML algorithms 
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 manintenance 
Take an active part in our AI and ML community and foster a culture of rigorous learning and experimentation 
Have an advanced degree in Computer Science, Mathematics or a similar quantitative discipline 
Are proficient with Python, including open-source data libraries (e.Have experience productionising machine learning models
Have knowledge of DevOps technologies such as Docker and Terraform and ML Ops practices and platforms like ML Flow 
Have experience with agile delivery methodologies and CI/CD processes and tools 
Have a broad of understanding of data extraction, data manipulation and feature engineering techniques 
Experience with transport industry and/or geographical information systems (GIS) 
Experience with Large Language Models (fine tuning, RAG, agents) 
DevOps: We host puppy therapy sessions, in-office yoga and run Mental Health First Aider training courses as well as having an Employee Assistance Program as one of our many company benefits.
We regularly throw fun social events such pub quizzes, karaoke nights and our large-scale Summer and Winter Festivals every year. Additionally, we love hosting meetups in our amazing event spaces and having the opportunity to support internal and external community groups.
We believe in the importance of a healthy work-life balance and the value of a flexible workforce. Our flexi-first approach outlines our commitment to a hybrid way of working and our expectations of Trainliners. In practice this means in–office attendance at least 40% of the time over a 12-week period for all Trainliners. These in-office days are typically team led to help us connect, collaborate and create together.
Think Big - We're building the future of rail 
Own It - We care about every customer, partner and journey 
Travel Together - We're one team 
You can also find out more information by following us on LinkedIn or our 'Life at Trainline' Instagram account.
We value open expression at Trainline, we believe it’s the diversity of experience, backgrounds and perspectives of our employees that makes us who we are. We encourage everybody to play a part in changing the way people travel across the world.  
In continuous increments and continuous communication between the team and stakeholders, you’re part of making data play an even more important (and understood) part withing Brand New Day.
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