We’re always learning and innovating, searching for the latest technologies to use.— Monica Beltran, Graduate Software Engineer
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
Technology and science are my primary passion.— Adam Darts, Senior Software Engineer
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
It already feels like being part of a family.— Saqib Hussain, Software Engineering Manager
Our technologists discuss machine learning
The challenge with automating healthcare technology is that the stakes are very high, since lives are on the line..— Sujit Pal, Technology Research Director
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
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
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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Looking for other career opportunities within Elsevier
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