Elsevier, a global leader in information analytics and scientific publishing, is seeking a Machine Learning Engineer to join their team. As part of RELX group, Elsevier stands at the forefront of delivering crucial scientific and health information to researchers and healthcare professionals worldwide. This role represents an opportunity to work with cutting-edge machine learning technologies while contributing to the advancement of scientific knowledge and healthcare solutions.
The position will involve working with vast amounts of scientific data and content, developing and implementing machine learning solutions that help make scientific information more accessible and actionable. You'll be part of a team that's dedicated to pushing the boundaries of what's possible in scientific information processing and analytics.
At Elsevier, you'll have the chance to work with a diverse, global team of experts in both technology and scientific domains. The company's commitment to innovation in scientific information and healthcare makes this an ideal position for someone passionate about applying machine learning to make a real-world impact in these crucial fields.
The role offers the opportunity to work with modern ML frameworks and tools, while being part of a company that values professional development and innovation. You'll be contributing to projects that directly impact how researchers and healthcare professionals access and utilize scientific information, ultimately advancing human knowledge and healthcare outcomes.
Working at Elsevier means joining a company with a rich history in scientific publishing that has successfully transformed into a modern technology-driven organization. The company's global presence and diverse project portfolio ensure exposure to varied challenges and learning opportunities in the intersection of AI and scientific information.