Here at Elsevier, the global information and analytics business 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.
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.
Elsevier Education Technology is developing a next generation product suite which will transform learning in the healthcare space.
We now have a great opportunity for a big data oriented Senior Software Engineer to play a key role in the development of a suite of innovative, tech forward e-learning products used by healthcare professionals.
Reporting to the Lead Software Engineer the Senior Software Engineer will be working with a bright, energetic, collaborative team to develop and maintain a Java-based, recommendation engine that is used as a shared service by Elsevier education products in a fast-paced, microservice environment to personalize user interactions.
We’re looking for a talented engineer to be accountable for ETL processing, data modeling, software architectural design, search ranking algorithm design and implementation, and natural language processing. The Senior Software Engineer will also work closely with big data and analytics partners to incorporate user-behavior information to improve recommendation quality.
We will also look to the successful candidate to mentor junior developers and conduct research on academic and industry trends.
What we’d like you to bring:
5+ years of Software Engineering experience to include:
Demonstrably strong java development skills gained in an Agile, OOP environment ideally using a microservices approach deployed in the Cloud (AWS preferred).
Experience using design patterns and knowledge of RESTful web services
NLP experience and ideally knowledge of search algorithms.
Experienced developing analytical tools is desirable while we would also like to see experience of big data technologies e.g. Hadoop and Cassandra would also be g
Contributions to open source repositories would be beneficial.
Level of experience (years):
Senior (5+ years of experience)
How to apply:
Please mention NLP People as a source when applying
A leading provider of science and health information, Elsevier partners with experts around the globe to develop world-class content, delivering it in ways that fuel discovery, drive innovation and improve health care. Our global community comprises over 7,000 journal editors, 70,000 editorial board members, 300,000 reviewers and 600,000 authors. They are scientists and clinicians; authors and editors, professors and students; information professionals and decision makers.
We are a global company headquartered in Amsterdam, employing more than 7,000 people in 24 countries. Elsevier's roots are in journal and book publishing, where we have fostered the peer-review process for more than 130 years. Today we are driving innovation by delivering authoritative content with cutting-edge technology, allowing our customers to find the answers they need quickly.