Elsevier is seeking a senior data science and engineering professional to bridge ML/LLM engineering with scalable services for Scopus, ScienceDirect, and manuscript workflows. You will implement GenAI features, RAG and knowledge-graph–aware retrieval while upholding content rights and editorial confidentiality.
Lead ML pipelines, orchestration across AWS/Azure/Databricks, and production-grade SageMaker/MLflow workflows.
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Senior MLOps Engineer: GenAI & Search Systems (Flexible) in London 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.
