Sr Machine Learning Engineer Iii

RELX

Not specified; not specified; comprehensive benefi...
10+ years software engineering experience
Production deployment of llm and generative ai systems
Expertise in rag architectures and vector databases
This role leads the end-to-end lifecycle from research prototypes to highly reliable, scalable production AI/ML systems

Job Summary

  • This role leads the end-to-end lifecycle from research prototypes to highly reliable, scalable production AI/ML systems.
  • The successful candidate will drive the adoption of modern technologies including LLMs, RAG, and multi-agent systems at scale.
  • RELX offers a comprehensive benefits package including medical insurance, flexible benefits, and paid time off to support work-life balance.

Matching Summary

This role leads the end-to-end lifecycle from research prototypes to highly reliable, scalable production AI/ML systems.

Salary

Not specified; Not specified; Comprehensive benefits including medical insurance and paid time off

Skills & Requirements

Must-have

  • 10+ years software engineering experience
  • Production deployment of LLM and Generative AI systems
  • Expertise in RAG architectures and vector databases
  • Strong Python programming skills
  • Cloud-native distributed system architecture
  • MLOps pipeline design and optimization

Nice-to-have

  • Experience with agent frameworks like OpenAI SDK
  • Knowledge of Spark or Databricks platforms
  • Background in NLP techniques
  • Mentorship and leadership capabilities
  • Familiarity with CI/CD tools like Jenkins

Key Requirements

  • Bachelor's degree in computer science or equivalent
  • 10+ years of experience in software or ML engineering
  • Advanced degree preferred
  • Deep expertise in LLM/Generative AI production systems

Work Rights

Not specified

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