Technology careers

You can shape the future of knowledge. Our technologists create tools that will help clinicians know what treatments to prescribe patients, that will guide researchers in making groundbreaking discoveries, and that will help train the nurses and clinicians of the future. Build a technology career at Elsevier and make a difference.

Why join Elsevier technology team?

In a creative and experimental environment you will find ways to apply new and emerging technologies for an inspirational audience that seizes on innovation.

Kickstart the future
We’re transforming data and information into a network of knowledge to bring answers directly to the people solving some of the biggest challenges facing humankind

Hone your talents
Our technologists work with some of the most exciting big data, semantic web, machine learning and ubiquitous access technologies available. With smart and helpful colleagues to learn from you will benefit from a stimulating, career enhancing environment.

Live your life
We offer flexible work arrangements, great development and training opportunities alongside initiatives to nurture creativity and inspiration among our employees

Shape your future
Build the career you want with our tech-track program. Take a leadership route, a technical route, or a mix of the two.

Move fast, make a difference
Turnaround speed on new products and releases gets your work to researchers, engineers and clinicians, fast.

Global company, start-up thinking
Our small teams and agile approach gives you the freedom, excitement and technology of a start-up coupled with the resources of a global business


Meet our people

Monica Beltran photograph
We’re always learning and innovating, searching for the latest technologies to use. — Monica Beltran, Graduate Software Engineer
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Adam Darts photograph
Technology and science are my primary passion. — Adam Darts, Senior Software Engineer
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Tom Perry photograph
Recognizing the need to adapt to ever changing customer needs and to bring in the right people to really make a difference. — Tom Perry, Director Software Engineer
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Saqib Hussain photograph
It already feels like being part of a family. — Saqib Hussain, Software Engineering Manager
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Our technologists discuss machine learning


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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Featured jobs

What is going on at Elsevier?

5 reasons to pay attention to machine learning

5 reasons to pay attention to machine learning

  • By Elisa Nelissen
  • August 28, 2017

tech colleagues in Philly office

Why today's tech jobs need creative minds

  • By Alison Bert, DMA
  • August 30, 2017