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Executive Full Stack Machine Learning Engineer Jobs in Raleigh, NC

Compunnel

Full Stack Engineer

Durham, NC · On-site

Job Summary We are seeking a Senior Full Stack Engineer to design, develop, and maintain enterprise software solutions supporting wealth management applications. The ideal candidate will have strong ...

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 ...

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 ...

New

Tekniforce

Senior Full Stack .NET Engineer

Raleigh, NC · On-site

We are looking for a Senior Full Stack .NET Engineer. This is a full time direct hire position in Raleigh, North Carolina with our client. In this role as a Senior Full Stack .NET Engineer you will ...

McAdams

Full-Stack Developer

Raleigh, NC

... developer or similar technical role; full-stack experience preferred * Advanced proficiency in ... machine learning fundamentals * Hands-on experience designing and deploying low-code/no-code ...

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 ...

McAdams

Full-Stack Developer

Raleigh, NC · On-site

... developer or similar technical role; full-stack experience preferred * Advanced proficiency in ... machine learning fundamentals * Hands-on experience designing and deploying low-code/no-code ...

McAdams

Full-Stack Developer

Raleigh, NC

... developer or similar technical role; full-stack experience preferred * Advanced proficiency in ... machine learning fundamentals * Hands-on experience designing and deploying low-code/no-code ...

PTR Global

Senior Full Stack Engineer

Durham, NC · On-site

$60 - $75/hr

Senior Full Stack Engineer Location: Durham, North Carolina (One week onsite- Alternative week remote) Duration: Contract with potential conversion Pay Range: $60/hr-$75/hr Must Have:Full Stack ...

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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 Jul 9, 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.

Will AI replace full-stack dev?

As an Executive Full Stack Machine Learning Engineer, it is unlikely that AI will fully replace full-stack developers, as their roles require complex problem-solving, creativity, and understanding of business needs that AI cannot replicate. AI tools can automate certain coding tasks and improve efficiency, but human oversight and expertise remain essential for designing, integrating, and maintaining full-stack applications. The evolving landscape emphasizes collaboration between AI and developers rather than replacement.

What engineer makes $500,000 a year?

An executive full stack machine learning engineer can earn $500,000 or more annually, especially with extensive experience, advanced skills in AI and software development, and working at large tech companies or startups with competitive compensation packages. High salaries often include base pay, bonuses, and stock options, reflecting seniority and expertise in the field.

Will MLE be replaced by AI?

An Executive Full Stack Machine Learning Engineer designs and implements AI systems, but AI is a tool that complements rather than replaces such roles. While automation and AI advancements can handle certain tasks, skilled engineers are needed for developing, maintaining, and improving complex machine learning solutions. Continuous learning and expertise in programming, data analysis, and model deployment remain essential in this field.

What is the salary of full-stack machine learning engineer?

The salary of a full-stack machine learning engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those requiring specialized skills in deep learning or cloud platforms may offer higher compensation.

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 the most commonly searched types of Full Stack Machine Learning Engineer jobs in Raleigh, NC? The most popular types of Full Stack Machine Learning Engineer jobs in Raleigh, NC are:
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
Full Stack Engineer

Full Stack Engineer

Digipulse Technologies, Inc

Durham, NC • On-site

Other

Re-posted 6 days ago

Job description

Full Stack Engineer (W2 Only)We are currently sourcing for Full Stack Engineers to work in Durham, North Carolina

We do have similar openings in other locations like Westlake, Texas, Smithfield, RI, Boston, MA, Merrimack, NH, Jersey City, NJ, Salt Lake City, UT.

Employment: W2 Only

H1B Transfer & I-140 Porting Support Available

If you''''''''re interested or know someone who may be a good fit, please reach out at

Experience: 6+ years

Should have expertise in Java/Spring Boot/Spring, Angular, AWS cloud experience, and building Rest API''''''''s.

The Expertise and Skills You Bring:
  • BS/BA Degree or equivalent experience preferred.
  • Robust critical thinking skills coupled with a desire for growth, to learn, and to engage with peers in technical and design discussions.
  • Experience in communicating technical needs and capabilities to non-technical team members, product owners, and partners.
  • Ability to utilize a long-term mentality to help produce scalable, maintainable solutions.
  • Passion to provide guidance on standard methodologies and collaborate with other Developers within the wider Digital Platforms Technology team. Help to improve engineering, architectural, and coding standards.
  • Server-side language experience: Java, Spring, Middle tier restful services, Camel.
  • Client-side language, library, and framework experience: Angular, JavaScript/TypeScript, Node, NPM, HTML/CSS, RxJS, and Struts.
  • Experience with incident management and issue troubleshooting.
  • Experience in financial services applications is a plus.

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