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Afternoon Full Stack Machine Learning Engineer Jobs in Raleigh, NC

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 ...

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 ...

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

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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 ...

... 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 ...

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 ...

... 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 ...

... 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 ...

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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Afternoon Full Stack Machine Learning Engineer information

See Raleigh, NC salary details

$43.3K

$131K

$185.2K

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

As of Jul 9, 2026, the average yearly pay for afternoon 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 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 Afternoon Full Stack Machine Learning Engineer jobs in Raleigh, NC? For Afternoon Full Stack Machine Learning Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Afternoon Full Stack Machine Learning Engineer jobs in Raleigh, NC look for? The top searched job categories for Afternoon Full Stack Machine Learning Engineer jobs in Raleigh, NC are:
Full Stack Engineer

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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.