Junior Machine Learning Engineer (Geospatial experience)

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. #J-18808-Ljbffr