Top 12 Machine learning engineer lead Jobs in Cary, Nc

Machine Learning Engineer Lead
LexisNexis —Raleigh, NC
- $115,400 - $192,300 a year
- Full-time
- Computer Science
- System design
- Master's degree
Lead Director, Software Engineering
CVS Health —Raleigh, NC
- $144,200 - $288,400 a year
- Full-time
- Computer Science
- System design
- HIPAA
- Health insurance
- Dental insurance
13d
Machine Learning Engineer Lead
RELX —Raleigh, NC
- $115,400 - $192,300 a year
- Full-time
- Computer Science
- System design
- Master's degree
Staff Engineer/Technical Lead, Google Distributed Cloud Storage
Google —Raleigh, NC
- $207,000 - $301,000 a year
- Full-time
- Computer Science
- Engineering
- System design
Software Engineering Technical Leader
Cisco Systems —Research Triangle Park, NC
- $149,100 - $303,100 a year
- Full-time
- Hybrid work
- 8 years
- Bachelor's degree
- US work authorization
- Paid parental leave
- Paid holidays
Lead AI Engineer, Biomedical & Vigilance Innovation
United Therapeutics —Research Triangle Park, NC
- Full-time
- Hybrid work
- Computer Science
- Office
- Databases
- Paid parental leave
- Employee stock purchase plan
Lead Applied AI Engineer II
Deloitte —Raleigh, NC
- $118,700 - $243,700 a year
- Full-time
- Computer Science
- Java
- AWS
13d
Technical Delivery Lead - Applications, Google Cloud
Accenture —Raleigh, NC
- $87,400 - $266,300 a year
- Full-time
- Hybrid work
- 6 years
- Computer Science
- SQL
- Paid holidays
- Disability insurance
9d
Technical Delivery Lead - Data & Agentic Transformation, Google Cloud
Accenture —Raleigh, NC
- $87,400 - $266,300 a year
- Full-time
- Hybrid work
- 6 years
- Computer Science
- SQL
- Paid holidays
- Disability insurance
9d
US E ES - Lead Data Scientist GenAI, Financial Planning & Analysis - Strategic Analytics
Deloitte —Raleigh, NC
- $102,500 - $188,900 a year
- Full-time
- Azure
- Computer Science
- Office
7d

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machine learning engineer lead jobs near cary, nc

Machine Learning Engineer Lead

LexisNexis -
Raleigh, NC

Apply Now

Job Details

Full-time
$115,400 - $192,300 a year

Qualifications

Software engineering
System design
System design for system development
Production systems
Machine intelligence
Managing engineering teams
Model deployment
Design engineering
Systems engineering
System deployment
Design (software development lifecycle)

Full Job Description

About our Team

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).

About the Role

Do you love collaborating with teams to solve complex technical problems?

We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML systems and agentic architectures that support next-generation legal research and analytics products. This role combines deep ML expertise with distributed systems engineering and AI platform development.

In this role you will be a hands-on engineer and leader that will lead a high-performing team of 4-5 ML engineers, drive platform-level decisions, and ensure enterprise-grade scalability, reliability, and responsible AI compliance.

Responsibilities:

Lead, mentor, and grow a team of 4-5 ML engineers.
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.

Requirements

8-10 years of Machine Learning/Software Engineer e xperience
2-3 years of people management experience.
Master’s degree or bachelor's degree, computer science degree is highly desirable.
Strong software engineering background with experience in building system design, architecting AI feature/products that caters large number of users and deals with large volume of unstructured data
Experience with ML deployment to production

U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.

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machine learning engineer lead jobs in cary, nc

Machine Learning Engineer Lead

Lead Director, Software Engineering

Machine Learning Engineer Lead

Staff Engineer/Technical Lead, Google Distributed Cloud Storage

Software Engineering Technical Leader

Lead AI Engineer, Biomedical & Vigilance Innovation

Lead Applied AI Engineer II

Technical Delivery Lead - Applications, Google Cloud

Technical Delivery Lead - Data & Agentic Transformation, Google Cloud

US E ES - Lead Data Scientist GenAI, Financial Planning & Analysis - Strategic Analytics

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