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Senior Machine Learning Engineer Jobs in North Carolina

Vadum Inc

Machine Learning Engineer

Raleigh, NC · On-site

We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In ... Generate content for status meetings with customers as a senior technical contributor. * Research ...

CoVar

Machine Learning Engineer

Durham, NC · On-site

The Machine Learning Engineer will develop software and machine learning algorithms to address real-world customer issues and will have opportunities to present their work to high-level customers.

The Hartford

Sr AI Machine Learning Engineer

Charlotte, NC · Hybrid

$117K - $175K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading ...

CoVar

Machine Learning Engineer

Durham, NC · On-site

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 ...

Syngenta

Machine Learning Engineer

Durham, NC · On-site

Our Data Science and Engineering team in R&D Digital is seeking a motivated Machine Learning Engineer who will drive the development and deployment of advanced computer vision and machine learning ...

Motion Recruitment

Lead Machine Learning Engineer

Raleigh, NC · On-site

$91K - $120K/yr

We are seeking a Sr. Machine Learning Engineer to define and lead the architecture of scalable AI/ML and agentic systems across our global product portfolio. This is a senior technical leadership ...

CoVar

Machine Learning Engineer

Durham, NC · On-site

... machine learning, Bayesian models, etc. • B.S., preferably M.S. or Ph.D in engineering, math, computer science, or related field • Excellent technical communication skills • Ability to work in ...

Q2 India

Machine Learning Engineer

Cary, NC · On-site

$125 - $150/hr

As a Machine Learning Engineer, you'll build and operate the production systems behind fraud detection at scale, helping protect nearly two trillion dollars in transactions for millions of users each ...

New

Q2 Software, Inc.

Machine Learning Engineer

Cary, NC · On-site

As a Machine Learning Engineer, you'll build and operate the production systems behind fraud detection at scale, helping protect nearly two trillion dollars in transactions for millions of users each ...

Q2

Machine Learning Engineer

Cary, NC · On-site

As a Machine Learning Engineer, you'll build and operate the production systems behind fraud detection at scale, helping protect nearly two trillion dollars in transactions for millions of users each ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in North Carolina

Senior Machine Learning Engineer information

See North Carolina salary details

$54.1K

$115K

$166.8K

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

As of Sep 8, 2026, the average yearly pay for senior machine learning engineer in North Carolina is $115,015.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,000.00 and $130,400.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in North Carolina?

The most popular types of Machine Learning Engineer jobs in North Carolina are:

What are popular job titles related to Senior Machine Learning Engineer jobs in North Carolina?

For Senior Machine Learning Engineer jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Senior Machine Learning Engineer jobs in North Carolina look for?

The top searched job categories for Senior Machine Learning Engineer jobs in North Carolina are:

What cities in North Carolina are hiring for Senior Machine Learning Engineer jobs?

Cities in North Carolina with the most Senior Machine Learning Engineer job openings:

Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $115,015 per year, or $55.3 per hour.

Machine Learning Engineer

Vadum Inc

Raleigh, NC • On-site

Full-time

Re-posted 20 days ago

Job description

Description:

Since 2004, Vadum has built a brand known for practical innovation that delivers solutions to customers in the competitive field of national defense research and development.


We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In this role, you will be responsible for designing and developing machine learning prototypes, as well as driving concept design and analysis efforts. 


Key Responsibilities:

  • Design, prototype, and implement machine learning algorithms using industry-standard frameworks.
  • Process, transform, visualize, and analyze data to guide the design and training processes of machine learning algorithms.
  • Collaborate with other ML and software engineers to produce software/data deliverables. This may include algorithm/software design documents and end user guides as well as government systems integration.
  • Participate in project scoping and scheduling; track progress of individual tasks and alert stakeholders of issues blocking or preventing completion of task.
  • May be a major contributor in determining solution concepts for project proposals.
  • Generate content for status meetings with customers as a senior technical contributor.
  • Research state-of-the-art methods to solve difficult and/or complex problems.
  • Responsibly and respectfully interact with customers and suppliers to ensure customer satisfaction and project alignment.
  • Perform other duties as assigned, within the scope of the position.
Requirements:

Required Skills and Qualifications:

  • Bachelor’s degree or higher in Computer Science, Computer Engineering or a related field required.
  •  5+ years of relevant work experience.
  •  Must possess a government security clearance or the ability to obtain and maintain.
  •  Experience in programming languages (Python, C/C++, MATLAB, etc.).
  •  Experience with industry-standard machine learning frameworks (PyTorch, TensorFlow, Scikit-Learn, etc.).
  •  Experience with Windows and/or Linux.
  •  Experience with some of the software tools such as Docker, Jenkins, Git, Gerrit, Hibernate, and Kubernetes is a plus.
  •  Familiarity with streaming data processing frameworks such as Kafka/Spark/Hadoop is a plus.
  •  Detail oriented and well-organized with a strong ability to prioritize, plan, and execute tasks.
  •  Highly skilled in written and verbal communications.
  •  Strong problem-solving skills and a willingness to be flexible and learn new concepts and technologies on the job.
  •  Ability to pivot quickly and seamlessly as projects and business needs dictate.
  •  Ability to work effectively and comfortably with multidisciplinary teams of engineers and support staff.
  •  Ability to perform independent research and evaluate the state-of-the-art.

Join our innovative team where continuous learning and professional growth are encouraged. We offer a collaborative work environment, competitive benefits, and opportunities to work on cutting-edge projects.

Vadum, Inc. is an Equal Opportunity Employer. Vadum is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you need assistance or an accommodation due to a disability, you may contact the HR Manager at (919) 341-8241 ext.: 180.