Machine Learning Engineer

Elsevier, a global leader in information analytics and scientific publishing, is seeking a Machine Learning Engineer to join their team in Cambridge, UK. As a trusted name in scientific and medical content for over 140 years, Elsevier combines authoritative content with cutting-edge technology to help researchers and healthcare professionals advance science and improve health outcomes.

In this role, you'll be working at the intersection of machine learning and scientific research, developing and implementing AI solutions that help process, analyze, and derive insights from scientific data. You'll be part of a team that's pushing the boundaries of how artificial intelligence can enhance scientific discovery and research workflows.

This position offers the opportunity to work with vast amounts of scientific data and contribute to projects that have real-world impact in the scientific community. You'll be collaborating with data scientists, researchers, and domain experts to build and deploy machine learning models that help make scientific information more accessible and actionable.

Working at Elsevier means being part of a company that's embracing digital transformation in the scientific publishing industry. You'll have access to extensive research resources and the opportunity to work with some of the brightest minds in both technology and academia.

The role combines the excitement of working with cutting-edge AI technology with the satisfaction of contributing to the advancement of scientific research and discovery. If you're passionate about machine learning and want to apply your skills in a way that meaningfully impacts the scientific community, this role offers an excellent opportunity to do so.