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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Senior MLOps Engineer: Scale GenAI & RAG Pipelines employer: Elsevier
At Elsevier, we pride ourselves on being an excellent employer, particularly for our Java Software Engineer role in Oxford. Our vibrant work culture fosters collaboration and innovation, while our commitment to employee growth is evident through continuous learning opportunities and flexible working arrangements that promote a healthy work-life balance. Join us to be part of a team that values your contributions and supports your professional journey in the exciting field of scientific knowledge sharing.
