Elsevier is seeking a Senior MLOps Engineer to bridge Data Science and Engineering, turning NLP/IR/GenAI experiments into secure, scalable services across cloud platforms. You will own ML pipelines, model governance, and production readiness while collaborating with cross-functional teams on cutting-edge AI features.
You will contribute to knowledge graphs, RAG, and search systems, driving cost optimisation and best practices in a fast-paced research environment.
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Senior MLOps Engineer: GenAI Pipelines & Flexible Hours in City of London employer: RELX International
Elsevier is an exceptional employer, offering a dynamic work environment where innovation meets purpose. As a leader in research analytics, we provide our employees with ample opportunities for professional growth, a strong focus on work-life balance, and a culture that values collaboration and creativity. Join us in shaping the future of research while enjoying benefits like flexible working hours, wellbeing initiatives, and support for continuous learning.
