Senior ML Ops Engineer

Sourced from remoshift.com

RELX (Elsevier) is hiring a Senior ML Ops Engineer to join the team powering its AI-driven health platforms, including ClinicalKey AI and Sherpath AI. The role bridges Data Science and Engineering, turning experimental NLP, information retrieval, and GenAI models into secure, reliable, and scalable services operating over one of the world's largest medical and scholarly content landscapes. Work spans MLOps, RAG and agentic AI engineering, search and ranking quality, and knowledge-graph-aware retrieval while enforcing content rights and editorial confidentiality. This is a remote position restricted to applicants able to work from the United States.

• Automate and orchestrate ML workflows across AWS, Azure, Databricks, and foundation model APIs such as OpenAI
• Maintain and version model registries and artifact stores for reproducibility and governance
• Build and manage CI/CD for ML, including automated data validation, model testing, and deployment
• Implement MLOps solutions with AWS SageMaker, MLflow, and Azure ML; scale end-to-end custom SageMaker pipelines
• Design RAG system components: query interpretation and reflection, chunking, embeddings, hybrid retrieval, and semantic search
• Manage prompt libraries, guardrails, and structured output for LLMs hosted on Bedrock, SageMaker, or self-hosted
• Build ML pipelines using Elasticsearch/OpenSearch/Solr, vector databases, and graph databases