Machine Learning Engineer (Geospatial)

at  Trainline

London EC1N, England, United Kingdom -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate08 Aug, 2024Not Specified08 May, 2024N/AGood communication skillsNoNo
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Description:

Company Description
We are champions of rail, inspired to build a greener, more sustainable future of travel. Our purpose is our momentum. It makes us feel good because we know we’re doing good. As we lead the way to a greener future, we do it together. We’re all about connections - with each other, with our customers and with the world. Just as our platform brings the world together, it’s our ambition that connects us. We motivate each other to go beyond our limits, to experiment, to fail and to always grow.
With over 110 million visits every month to our platform and £4.3 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. Today, we’re a FTSE 250 company that’s proudly home to more than 1000 Trainliners from over 60 nationalities across offices in London, Paris, Barcelona, Milan, Edinburgh, Berlin, Madrid and Brussels. It’s this diversity that energises us and makes us stronger, helping us to achieve amazing things.
With our sights firmly set on further European growth, there is no better time to jump on board this high-speed train and be part of our continued success.
Great journeys start with Trainline.
Job Description

INTRODUCING MACHINE LEARNING AT TRAINLINE

Machine Learning is at the heart of Trainline’s mission to help millions of people make daily sustainable travel choices. For instance, our ML models provide state-of-the-art search capabilities on our apps, find the lowest price for millions of customers, improve user experience with generative AI and power our digital marketing capabilities, amongst other things. For instance, our ML models provide state-of-the-art search capabilities on our apps, find the cheapest price for millions of customers, improve user experience with generative AI and power our digital marketing capabilities, amongst other things. For instance, our ML models provide state of the art search capabilities on our apps, find the cheapest price for millions of 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 on 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 geospatial data scientist to play a key role in an exciting new team within Trainline that improves the customer experience for rail passengers with accurate train tracking and mapping tools. This role will involve innovating and developing this brand-new technology, as well as working on the maintenance, monitoring, and reliability of the system and processes.
In addition, you will collaborate with an exciting new research and development team to bring new innovations to the market. This will also involve building proof-of-concept prototypes testing their viability, as well as develop new algorithms that will be used in real-world products, benefiting millions of passengers.
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. 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.

Responsibilities:

Please refer the Job description for details


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - Application Programming / Maintenance

Software Engineering

Graduate

Proficient

1

London EC1N, United Kingdom