Careers in Machine Learning & NLP

You can shape the future of knowledge. Our people do this through state of the art architecture and language processing capabilities, creating smart content -  taxonomies, semantic representation, text and data mining, and architectures - that supports of current products, and the products of the future. Build a technology career at Elsevier and make a difference.

Why join us?

We lead the way in advancing science technology and health by building content capabilities and processes to support next generation products.


Meet our team

Jenny Truong photograph
Elsevier’s content is like a huge playground for a Data Scientist to train their algorithms on.. — Jenny Truong, Machine Learning Specialist
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Vaishnavi Kandala photograph
I use different Machine Learning and NLP techniques to help make our products more valuable to the people who depend on them.. — Vaishnavi Kandala, NLP Specialist
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Sujit Pal photograph
The challenge with automating healthcare technology is that the stakes are very high, since lives are on the line.. — Sujit Pal, Technology Research Director
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Helena Deus photograph
If machine learning could improve the quality of science, this would have huge implications on the price and speed of drug manufacturing.. — Helena Deus, Senior Technology Researcher
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Deep Kayal photograph
The data that we have at Elsevier is a goldmine of information for a lot of interesting and intelligent things.. — Deep Kayal, Machine Learning Engineer
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Georgios Tsatsaronis photograph
What I like about working on machine learning here at Elsevier is that we can combine theory with practice.. — Georgios Tsatsaronis, Principal NLP Specialist
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