Machine Learning Engineer

Elsevier, a global leader in information analytics and scientific publishing, is seeking a Machine Learning Engineer to join their team at the BioData Innovation Centre in Cambridge, UK. As part of Elsevier's commitment to advancing science and healthcare through technology, this role will focus on developing and implementing machine learning solutions to enhance their scientific and medical information platforms. The position offers an opportunity to work with vast amounts of scientific data and contribute to meaningful projects that impact the global research community.

The successful candidate will be part of a dynamic team working at the intersection of machine learning and scientific research, helping to develop innovative solutions that make scientific information more accessible and actionable. This role combines the excitement of working with cutting-edge AI technology with the satisfaction of contributing to the advancement of scientific knowledge and healthcare improvements.

Working at Elsevier means joining a company with a rich history in scientific publishing that has successfully transformed into a modern technology company. The BioData Innovation Centre in Cambridge provides an ideal environment for collaboration with talented peers and exposure to the latest developments in both technology and life sciences.

This position offers the opportunity to work on challenging problems in machine learning while making a real impact on how scientific information is discovered, analyzed, and applied. The role would suit someone who is passionate about both artificial intelligence and its applications in the scientific domain.