All jobs
- Location
- Remote (United States)
- Type
- Remote · Full-time
- Pay
- $95.3K – $158.8K / yr
- Open until
- Oct 21, 2026
Skills
- Machine learning
- MLOps
- Natural language processing
- Large language models
- AWS
- Azure
- CI/CD
- Elasticsearch
About the role
Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization?
Are you looking to drive cutting edge products that have a true societal impact?
About the team, this team that powers Elsevier ’s Health platforms: Clinical Key AI, Sherpath AI, and AI-driven automated clinical and content workflows. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our systems operate over one of the world’s largest medical and scholarly landscapes.
About the role, as a Senior Machine Learning Engineer 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 editorial confidentiality.
Key Responsibilities
ML & LLM Engineering, Search and Recommendation Engines …