Elsevier is seeking a Senior MLOps Engineer to bridge Data Science and Engineering, turning experimental NLP/IR/GenAI models into secure, reliable services. You will work on AI-based features, search and knowledge-graph retrieval within a massive scholarly corpus and contribute to scalable ML platforms.
You will collaborate with data scientists, product managers and responsible AI experts to translate business problems into cutting-edge data science solutions and to deliver end-to-end ML
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Senior MLOps Engineer — Flexible Hours, Scalable AI 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.
