Senior ML Ops Engineer

RELX is seeking a Senior ML Ops Engineer to join their Health platforms team. You will be responsible for turning experimental NLP/IR/GenAI models into secure, reliable, and scalable services, focusing on AI-based features, search/ranking quality, and knowledge graph aware retrieval.

• Automate and orchestrate machine learning workflows across major cloud and AI platforms
• Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment
• Implement ML Engineering solutions using MLOps platforms like AWS SageMaker, MLflow, Azure ML
• Design and implement engineering components of GAR+RAG systems
• Build evaluation pipelines for offline IR metrics, LLM quality metrics, and A/B testing
• Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization