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RELX is seeking a Senior MLOps Engineer to enhance their research platforms by implementing ML and LLM engineering solutions. The ideal candidate should have extensive experience in machine learning, cloud technologies, and natural language processing, with a strong focus on production-grade systems.
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Job Summary
This role supports Elsevier’s large-scale research platforms by turning experimental NLP, search, and GenAI models into secure, reliable, and scalable production services.
The position involves designing and operating retrieval, ranking, and evaluation pipelines, including IR metrics, LLM quality metrics, and A/B testing, while optimizing cost and performance at scale.
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people.
Matching Summary
Match Score: 75
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RELX is seeking a Senior MLOps Engineer to enhance their research platforms by implementing ML and LLM engineering solutions. The ideal candidate should have extensive experience in machine learning, cloud technologies, and natural language processing, with a strong focus on production-grade systems.
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