Elsevier, a global leader in information and analytics, seeks a Senior MLOps Engineer to bridge data science and engineering. You will build scalable ML platforms, automate pipelines, and optimize AI-driven features across cloud environments while ensuring governance and reproducibility.
The role focuses on GenAI, IR, and knowledge-graph based retrieval inside a research framework. You will collaborate with data scientists and engineers, implement CI/CD for ML, and contribute to cost
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Senior MLOps Engineer: Flexible Hours & AI Platforms 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.
