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Junior Machine Learning Engineer

3 months ago


London, United Kingdom The Learning Experience #328 Full time
Trainline Share this job

London, UK

Full Time

Role Highlights

GO

Python

SQL

Data Science

Generative AI

Fine Tuning

UX

CICD

GitHub Actions

Digital Marketing

Signal Processing

Search

Embedded

Reliability

Research

Testing

Mathematics

Physics

Statistics

Quantitative

Navigation

NLP

RAG

Hosting

Tools, Libraries and Frameworks

Jupyter Notebook

MySQL

PostGres

RedShift

AWS

Tensorflow

Scikit-learn

NoteBooks

NumPy

Description

Trainline uses AI to enhance sustainable travel choices by integrating advanced machine learning models into their platform to improve search capabilities, find the lowest prices, and enhance user experience with generative AI. The role involves developing geospatial data science tools for accurate train tracking, building proof-of-concept prototypes, and creating new algorithms. Required skills include proficiency in Python data science libraries, experience in designing machine learning algorithms, and geospatial analysis. Useful skills include SQL, cloud platforms like AWS, and experience with NLP algorithms and large language models.

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company Trainline Description

Trainline champions sustainable and accessible travel through advanced digital platforms that enhance customer experiences and operational efficiencies across European rail networks. With a mission rooted in environmental consciousness, Trainline is a major player in travel technology, driving innovations such as AI-based enhancements in search, pricing, and marketing functionalities. As a FTSE 250 entity, Trainline is a diverse workplace with over 1,000 employees across multiple European cities, continually pushing the boundaries of technology to transform rail travel. The company's strong growth trajectory is supported by a culture of experimentation and learning, making it an attractive environment for tech professionals looking to impact the future of travel.

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