Elsevier is seeking a Senior MLOps Engineer to bridge Data Science and Engineering, turning experimental NLP/IR/GenAI models into secure, scalable services running on a large scholarly corpus.
You will own end-to-end ML pipelines, CI/CD for ML, and work with AWS, Azure, Databricks, and OpenAI APIs, ensuring reproducibility and governance. Collaborate with scientists, product managers, and Responsible AI experts to deliver production-ready AI features for Scopus and ScienceDirect workflows.
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We are currently recruiting a Senior MLOps Engineer: Scale GenAI & RAG Pipelines for our team in Greater London, England, United Kingdom.
This is a great opportunity to take on the Senior MLOps Engineer: Scale GenAI & RAG Pipelines role at Elsevier.
As a Senior MLOps Engineer: Scale GenAI & RAG Pipelines, you will play an important part at Elsevier in Greater London, England, United Kingdom.