Machine Learning Engineer

SciBite, part of Elsevier, is at the forefront of developing cutting-edge AI and NLP technologies for life science customers. This role offers an exciting opportunity to join a company working directly with major pharmaceutical companies on projects that impact future medicine discovery. As a Machine Learning Engineer, you'll be part of a DataOps team focused on scaling AI pipelines, working with state-of-the-art large language models and semantic technology. The position offers unique access to Elsevier's extensive proprietary data sets, enabling the development of models beyond what's possible with public data alone.

The role combines technical expertise in machine learning infrastructure with practical application in the healthcare and life sciences domain. You'll be responsible for developing and maintaining AI pipelines, creating interfaces for model interaction, and ensuring robust testing and documentation. The ideal candidate should have strong Python skills, experience with major ML frameworks, and cloud platform knowledge.

Working at Elsevier means joining a global leader in information and analytics, where your work directly contributes to advancing science and improving healthcare outcomes. The company offers comprehensive benefits, including healthcare coverage, retirement plans, and various wellness programs. The collaborative environment, combined with access to cutting-edge technology and vast data resources, makes this an ideal opportunity for someone passionate about applying AI to solve real-world problems in healthcare and life sciences.