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Senior ML Ops Engineer

ElsevierFrom Himalayas

Apply on Himalayas
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 …

Read the full job description on Himalayas.