Elsevier is seeking an Senior MLops engineer in Amsterdam to bridge Data Science and Engineering, turning NLP/IR/GenAI models into secure, scalable services. You will support AI features, search/ranking quality, and knowledge-graph retrieval while enforcing content rights and confidentiality.
You will work on ML pipelines, MLOps platforms, and end-to-end GAR/RAG systems, with emphasis on QA, governance, and scalable infrastructure in a cloud-first environment.
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Senior MLOps Engineer: GenAI & NLP 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.
