Job Description
About Role:
Join the team that powers Elsevier’s Data Scientists at Corporate Markets in the domain of Life Sciences. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our work empowers R&D within Chemistry and Biology domain, to support that you’ll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and confidentiality.
Key Responsibilities
ML & LLM Engineering, Search and Recommendation Engines
+ Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI)
+ Maintain and version model registries and artifact stores to ensure reproducibility and governance
+ Develop and manage CI/CD for ML, including automated data validation, model te...
Join the team that powers Elsevier’s Data Scientists at Corporate Markets in the domain of Life Sciences. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our work empowers R&D within Chemistry and Biology domain, to support that you’ll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and confidentiality.
Key Responsibilities
ML & LLM Engineering, Search and Recommendation Engines
+ Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI)
+ Maintain and version model registries and artifact stores to ensure reproducibility and governance
+ Develop and manage CI/CD for ML, including automated data validation, model te...
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Submit ApplicationJob Details
- Location Amsterdam, Netherlands
- Job Type Full-time
- Category other-general
- Posted Date February 21, 2026
- Application Deadline March 05, 2026