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, technical, and medical content, Elsevier combines authoritative content with cutting-edge technology to help researchers and healthcare professionals advance science and improve health outcomes.

The Machine Learning Engineer role offers an opportunity to work at the intersection of scientific publishing and artificial intelligence, where you'll be developing and implementing machine learning solutions to enhance Elsevier's digital products and services. You'll be working with a vast repository of scientific content and data, applying advanced ML techniques to solve complex problems in scientific information processing and discovery.

This position is ideal for someone passionate about applying machine learning to real-world challenges in scientific publishing and research. You'll be part of a dynamic team that values innovation and technical excellence, working in a collaborative environment that promotes learning and professional growth. The role offers the chance to make a significant impact on how scientific information is processed, discovered, and utilized by researchers worldwide.

Working at Elsevier means joining a company with a rich history in publishing that has successfully transformed into a modern technology-driven organization. You'll have access to extensive resources, including one of the world's largest scientific databases, and the opportunity to collaborate with domain experts across various scientific fields.

The position offers competitive compensation and benefits, professional development opportunities, and the chance to work on projects that directly impact the global scientific community. Join Elsevier to be part of a team that's shaping the future of scientific information and research through innovative machine learning applications.