Senior Machine Learning Engineer Iii ***raleigh, Nc***
RELX TRADING AUSTRALIA PTY LIMITED COMPANY
Raleigh, NC, US
Base: $118,300 - $219,800; bonus: eligible for ann...
**
Production ml/llm system implementation
Rag pipeline and prompt orchestration
Agentic system development with langchain
**
The Senior Machine Learning Engineer III position at RELX Trading Australia Pty Limited is a full-time role based in Raleigh, NC, focused on architecting and implementing scalable AI systems for legal products. The ideal candidate will possess extensive experience in production ML/LLM systems, with a strong emphasis on collaboration with data scientists and leadership in system design.
**
Job Summary
This role focuses on leading the implementation and scaling of AI systems for legal products while owning system architecture and productionization.
Candidates will partner with Data Scientists to turn validated models into reliable, high-performance customer-facing systems using hybrid search and agentic frameworks.
The position offers a competitive base pay range of $118,300 to $219,800 with eligibility for an annual incentive bonus and country-specific benefits.
Matching Summary
Match Score: 75
**
The Senior Machine Learning Engineer III position at RELX Trading Australia Pty Limited is a full-time role based in Raleigh, NC, focused on architecting and implementing scalable AI systems for legal products. The ideal candidate will possess extensive experience in production ML/LLM systems, with a strong emphasis on collaboration with data scientists and leadership in system design.
**
Salary
Base: $118,300 - $219,800; Bonus: Eligible for annual incentive bonus; Benefits: Country specific benefits offered
Skills & Requirements
Must-have
Production ML/LLM system implementation
RAG pipeline and prompt orchestration
Agentic system development with LangChain
Hybrid search semantic lexical integration
Distributed cloud-native AWS architecture
Python and systems language proficiency
Kubernetes and Docker containerization
Nice-to-have
Experience with legal or regulatory domains
DevOps and infrastructure as code skills
Big data technologies like Spark and Hadoop
Graph database familiarity such as Neo4j
High-availability low-latency system design
Terraform and CloudFormation experience
Key Requirements
Bachelor's degree in Computer Science or Engineering
Strong experience implementing production ML/LLM systems
Deep expertise in LLM application development
Proficiency in Python and systems languages like Rust or Go