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Executive Full Stack Machine Learning Engineer Jobs in Raleigh, NC

RELX

Machine Learning Engineer Lead

Raleigh, NC

$115K - $192K/yr

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 ...

LexisNexis

Machine Learning Engineer Lead

Raleigh, NC · On-site

$115K - $192K/yr

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 ...

CGI Inc.

Full Stack Engineer

Durham, NC · On-site

Full Stack Engineer Category: Software Development/ Engineering Main location: United States, North ... Learning opportunities and tuition assistance . Wellness and Well being programs Skills: * Amazon ...

ShyftOff

Senior Full Stack Engineer

Raleigh, NC · On-site

To keep pace, we need a hands-on Full Stack Engineer who loves building scalable systems , shipping ... diving in and learning quickly.) Frontend: Vue.js, React + Next.js Backend: FastAPI Data

LexisNexis

Machine Learning Engineer Lead

Raleigh, NC

$115K - $192K/yr

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 ...

LexisNexis

Machine Learning Engineer Lead

Raleigh, NC · On-site

$115K - $192K/yr

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 ...

Uniting Holding

Software Developer Full Stack

Raleigh, NC · On-site

$90 - $130/hr

Strong interest in learning cybersecurity technologies such as network security * Ability to work ... Experience with full-stack/back-end experience and an interest in IoT cybersecurity. Preferred

New

CGI Inc.

Sr. Full Stack Engineer

Durham, NC · On-site

Sr. Full Stack Engineer Category: Software Development/ Engineering Main location: United States ... Learning opportunities and tuition assistance . Wellness and Well being programs Skills: * Amazon ...

LexisNexis

Senior Machine Learning Engineer III

Raleigh, NC · Hybrid

$118K - $219K/yr

Are you looking to develop your Machine Learning Engineer career? Do you enjoy coaching others to achieve high standards? This is a full-time position based in Raleigh, NC. (Hybrid - 3 days in office ...

Vulcan Elements

Applied Machine Learning Engineer

Durham, NC · On-site

$110K - $132K/yr

Ensure the architecture scales from pilot plant to full-scale facility without fundamental redesign ... Diagnose and resolve data quality issues across the stack, and build monitoring into pipelines so ...

Vulcan Elements

Applied Machine Learning Engineer

Benson, NC · On-site

$93K - $111K/yr

Ensure the architecture scales from pilot plant to full-scale facility without fundamental redesign ... Diagnose and resolve data quality issues across the stack, and build monitoring into pipelines so ...

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All JobsFull Stack Machine Learning Engineer JobsExecutive Full Stack Machine Learning Engineer JobsExecutive Full Stack Machine Learning Engineer Jobs in Raleigh, NC

Executive Full Stack Machine Learning Engineer information

See Raleigh, NC salary details

$43.3K

$131K

$185.2K

How much do executive full stack machine learning engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for executive full stack machine learning engineer in Raleigh, NC is $131,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,900.00 and $153,600.00 per year, depending on experience, location, and employer.

What is the difference between Executive Full Stack Machine Learning Engineer vs Data Scientist?

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

What are popular job titles related to Executive Full Stack Machine Learning Engineer jobs in Raleigh, NC?

For Executive Full Stack Machine Learning Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Executive Full Stack Machine Learning Engineer jobs in Raleigh, NC look for?

The top searched job categories for Executive Full Stack Machine Learning Engineer jobs in Raleigh, NC are:

Executive Full Stack Machine Learning Engineer jobs near you

Machine Learning Engineer Lead

RELX

Raleigh, NC

$115K - $192K/yr

Full-time

Re-posted 8 days ago

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 experience

  • 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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