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Machine Learning Software Engineer Jobs in North Carolina

RELX Group plc

Machine Learning Engineer Lead

Raleigh, NC · On-site

$115K - $192K/yr

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 ...

LexisNexis

Machine Learning Engineer Lead

Raleigh, NC · On-site

$115K - $192K/yr

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 ...

LexisNexis

Machine Learning Engineer Lead

Raleigh, NC · On-site

$115K - $192K/yr

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 ...

RELX

Machine Learning Engineer Lead

Raleigh, NC

$115K - $192K/yr

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 ...

CRC Group

Software Engineer - Machine Learning

Charlotte, NC · On-site

$95K - $130K/yr

... the machine learning function at a market-leading insurance company. As one of the first data ... software engineering training or experience * Technical Skills * Strong proficiency in Python and ...

RELX

Principal Machine Learning Engineer I

Raleigh, NC · On-site

$136K - $252K/yr

Requirements * 10 + years of Machine Learning/Software Engineer experience * Master's degree or bachelor's degree, computer science degree is highly desirable. * Strong software engineering ...

LexisNexis

Machine Learning Engineer Lead

Raleigh, NC

$115K - $192K/yr

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 ...

CoVar

Machine Learning Engineer

Durham, NC · On-site

CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. The Machine Learning Engineer will develop software and machine learning ...

CoVar

Machine Learning Engineer

Durham, NC

Machine Learning Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. We develop AI/ML tools to help the ...

CoVar

Machine Learning Engineer

Durham, NC · On-site

CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to ... machine learning, Bayesian models, etc. • B.S., preferably M.S. or Ph.D in engineering, math ...

CoVar

Software Engineer

Durham, NC

Software Engineer About CoVar CoVar is a small, mission-driven AI/ML R&D software company based in ... We build advanced software and machine learning systems that help the Department of Defense detect ...

Autodesk

Senior Machine Learning Test Engineer

Concord, NC · On-site +1

$102K - $133K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Your skills span test strategy, automation, and a little MLOps, with a strong software engineering ...

Sunergi Inc

$110K - $140K/yr

Be able to communicate collaboratively with Data Scientists and ML Software developers to ... Machine Learning applications. * You will develop data sets for POCs to demonstrate new insights.

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All JobsMachine Learning Software Engineer JobsMachine Learning Software Engineer Jobs in North Carolina

Machine Learning Software Engineer information

See North Carolina salary details

$57.7K

$134.1K

$186.8K

How much do machine learning software engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for machine learning software engineer in North Carolina is $134,070.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,100.00 and $157,200.00 per year, depending on experience, location, and employer.

What does a Machine Learning Software Engineer do?

A Machine Learning Software Engineer designs, develops, and deploys machine learning models within software applications. They work on data preprocessing, model training, optimization, and integration into production systems. Their role requires expertise in programming (Python, Java, or C++), machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn), and cloud platforms. They collaborate with data scientists and software engineers to build scalable ML solutions.

What are the key skills and qualifications needed to thrive in the Machine Learning Software Engineer position, and why are they important?

To thrive as a Machine Learning Software Engineer, you need a solid understanding of programming (especially Python), algorithms, data structures, and mathematics, ideally backed by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, familiarity with cloud platforms (AWS, Azure, or GCP), and relevant certifications in data science or machine learning are highly valuable. Strong problem-solving skills, effective communication, and the ability to work collaboratively with cross-functional teams set outstanding candidates apart. These competencies are crucial for building deployable, scalable, and maintainable machine learning solutions that address real business challenges.

What are the day-to-day responsibilities of a Machine Learning Software Engineer?

As a Machine Learning Software Engineer, your daily tasks typically include developing and optimizing machine learning models, collaborating with data scientists and product teams to define requirements, and integrating models into production systems. You’ll work extensively with large datasets to preprocess, analyze, and validate data, as well as monitor model performance and iterate on solutions when needed. It's common to participate in code reviews, contribute to architectural decisions, and maintain documentation for reproducibility and knowledge sharing. This role offers a dynamic and intellectually stimulating environment, making it ideal for those who enjoy solving complex technical problems and working at the intersection of engineering and data science.

What are the most commonly searched types of Machine Learning Software Engineer jobs in North Carolina? The most popular types of Machine Learning Software Engineer jobs in North Carolina are:
What are popular job titles related to Machine Learning Software Engineer jobs in North Carolina? For Machine Learning Software Engineer jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Machine Learning Software Engineer jobs in North Carolina look for? The top searched job categories for Machine Learning Software Engineer jobs in North Carolina are:
What are popular job titles related to Machine Learning Software Engineer jobs in NC? For Machine Learning Software Engineer jobs in NC, the most frequently searched job titles are:
Machine Learning Software Engineer jobs near you
Machine Learning Engineer Lead

Machine Learning Engineer Lead

RELX Group plc

Raleigh, NC • On-site

$115K - $192K/yr

Full-time

Re-posted 5 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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