Elsevier is hiring to design and deliver machine learning and AI systems that unlock insights from complex scientific data and content. You will build ML, NLP, and generative AI solutions for knowledge extraction and semantic understanding, using large-scale datasets such as scientific publications and metadata.
You will train and deploy models, develop scalable pipelines, and collaborate with cross-functional teams to translate complex challenges into robust technical solutions.
Senior MLOps Engineer — Scientific AI & Data Pipelines employer: Elsevier B.V.
Elsevier B.V. is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Oxford. With a strong focus on employee growth, team members are encouraged to develop their skills through continuous learning opportunities while working on cutting-edge technology in an Agile environment. The company offers competitive benefits and a supportive atmosphere, making it an ideal place for those seeking meaningful and rewarding employment.
