Senior ML Engineer Jobs in North Carolina
Senior ML Engineer jobs in North Carolina are in strong demand, concentrated in the technology, financial services, life sciences, and defense sectors, with openings at every level from associate ML engineer through principal and staff. Charlotte, Research Triangle Park including Raleigh and Durham, and Cary are the primary hiring centers, where employers such as Red Hat, Lenovo North America, and Bank of America maintain deep ML and AI teams. The most sought-after specialties in North Carolina right now are large language model development, computer vision, and production ML infrastructure. Find a role that fits below and apply directly.
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- Research experience with Gaia DR3 multi-epoch photometry or H-R diagram/color-magnitude diagram analysis
- Experience with functional data analysis, smoothing splines, or unsupervised clustering methods
- Experience using high-performance computing (e.g., UNC Longleaf) or GPU cloud computing resources
- Familiarity with time-domain survey data (TESS, ZTF, ASAS-SN) or variable star astrophysics
- Experience building interactive web-based data visualization tools
Not Applicable.
See All 29 Senior ML Engineer Jobs in North Carolina
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Find Senior ML Engineer JobsSenior ML Engineer Jobs by City in North Carolina
Where North Carolina roles are concentrated, by current openings.
Senior ML Engineer Job Market in North Carolina
A snapshot from current North Carolina openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software
- Telecommunications
- Electronics & Hardware
What North Carolina Employers Look For
The qualifications that appear most often in senior ML engineer jobs across North Carolina.
- Bachelor's or master's degree in computer science, statistics, or a closely related field
- Five or more years of applied ML experience including model development and deployment
- Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Hands-on experience with cloud ML platforms such as AWS SageMaker, Azure ML, or GCP Vertex AI
- Demonstrated ability to move models from prototype to production at scale
- Strong communication skills to translate model outputs for non-technical business stakeholders
Senior ML Engineer Jobs in North Carolina: Frequently Asked Questions
How do you become a senior ml engineer in North Carolina?
Becoming a senior ml engineer in North Carolina does not require a state-issued license or registration. The typical path runs through a bachelor's or master's degree in computer science, data science, statistics, or electrical engineering, followed by several years building and deploying models in production environments. North Carolina's Research Triangle universities, including NC State and UNC Chapel Hill, are well-regarded feeder programs, and many local employers recognize graduate certificates from those institutions alongside traditional degrees.
How much do senior ML engineers make in North Carolina?
Senior ML engineers in North Carolina earn a median of about $104,850 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $39,190 for the lowest 10% to over $175,660 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior ml engineers in North Carolina?
Employers hiring senior ml engineers in North Carolina right now include RELX, LexisNexis Legal & Professional, and COVAR, based on current listings on Migrate Mate as of November 2026. North Carolina's mix of major technology headquarters, financial services firms in Charlotte, and life sciences companies in the Research Triangle means consistent demand across industries rather than a single dominant employer type.
Which North Carolina cities have the most senior ml engineer jobs?
The cities with the most senior ml engineer openings in North Carolina are Raleigh, Cary, and Durham. The Research Triangle, anchored by Raleigh and Durham, drives the largest share of postings because of its dense concentration of technology companies, university research partnerships, and life sciences employers, while Charlotte contributes heavily through its financial services and fintech sector.
Are there remote senior ml engineer jobs in North Carolina?
Yes, and more than most fields. About 69% of senior ml engineer openings tied to North Carolina are remote or hybrid as of November 2026, reflecting how naturally the role fits distributed work. The parts of the role most likely to stay fully remote are model research, experimentation, and code review, while on-site expectations are more common when a team owns on-premise infrastructure or handles sensitive regulated data.
How can I get hired as a senior ml engineer in North Carolina with little or no experience?
The most realistic entry path is an ML engineering internship or associate data scientist role at one of the Research Triangle's technology or life sciences companies, where several large employers run structured new-graduate programs. NC State's Institute for Advanced Analytics and UNC Chapel Hill's data science programs have direct recruiting pipelines into local employers. Building a public portfolio of end-to-end ML projects and obtaining a cloud ML certification, such as AWS Certified Machine Learning, gives candidates without industry experience a concrete edge when applying.
Where can I find and apply to senior ml engineer jobs in North Carolina?
You can find and apply to senior ml engineer jobs in North Carolina on Migrate Mate, which lists current North Carolina openings. Find roles that fit your experience and apply directly to the employers posting them.
See All 29 Senior ML Engineer Jobs in North Carolina
Find roles in North Carolina that match your experience and apply in just a few clicks.
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