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This listing was closed on Jul 19, 2026.
Browse Open JobsPrincipal Machine Learning Engineer I
Summary by AIEngineer.careers
Principal Machine Learning Engineer I is a Machine Learning Engineer role (full-time). with hackajob. in RALEIGH, US. Compensation shown: $136K–$253K. Imported listing (source: linkedin.com). Apply on the employer's site (linkedin.com).
Imported listing (source: linkedin.com) · Apply on linkedin.com
RALEIGH · US
$136K–$253K
Full-time
PRINCIPAL
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from linkedin.com
LexisNexis is seeking a Principal Machine Learning Engineer to design, build, and operate scalable AI/ML systems for next-generation legal research and analytics products. The role involves developing LLM infrastructure, RAG pipelines, and autonomous agent frameworks to handle complex unstructured data. Responsibilities include architectural direction, establishing engineering best practices, and ensuring compliance with responsible AI standards.
Responsibilities
- Provide architectural direction and code-level guidance.
- Establish engineering best practices for ML system design, testing, and deployment.
- Conduct design reviews, performance reviews, and technical roadmap planning.
- Architect distributed ML systems serving multiple global products.
- Standardize infrastructure patterns for LLM serving and retrieval systems.
- Define and implement enterprise-ready agentic frameworks.
- Architect multi-step reasoning systems.
- Lead decisions on deterministic workflows vs. autonomous agents.
- Implement guardrails, safety layers, and traceability mechanisms.
- Develop evaluation frameworks to measure reasoning quality, hallucination rates, and reliability.
- Establish CI/CD standards for ML lifecycle management.
- Ensure compliance with enterprise data governance and responsible AI standards.
hackajob
Greater London · GB · 100+ employees
hackajob is an integrated tech hiring and recruiting platform that matches software engineers with employers through a data-driven approach. It focuses on simplifying the recruitment process by connecting talent directly with companies.
