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No Experience Machine Learning Jobs in Raleigh, NC

ExtendMyTeam

Machine Learning Engineer

Cary, NC · On-site

Experience working with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn * Experience deploying or supporting machine learning models in production environments * Experience ...

CoVar

Machine Learning Engineer

Durham, NC

Previous experience with DoD customers is a plus. Minimum qualifications * Software expertise ... Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer ...

Q2 Software, Inc.

Machine Learning Engineer

Cary, NC · On-site

As a Machine Learning Engineer, you will help build and operate production systems that power our ... You'll gain hands-on experience working across model development, evaluation, deployment, and ...

Q2

Machine Learning Engineer

Cary, NC

As a Machine Learning Engineer, you will help build and operate production systems that power our ... You'll gain hands-on experience working across model development, evaluation, deployment, and ...

Varsity Tutors

Machine Learning Tutor

Chapel Hill, NC · Remote

$40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

Varsity Tutors

Machine Learning Tutor

Durham, NC · Remote

$40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

Varsity Tutors

Machine Learning Tutor

Raleigh, NC · Remote

$40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

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No Experience Machine Learning information

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How much do no experience machine learning jobs pay per hour?

As of May 29, 2026, the average hourly pay for no experience machine learning in Raleigh, NC is $22.18, according to ZipRecruiter salary data. Most workers in this role earn between $19.18 and $24.76 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the No Experience Machine Learning position and why are they important?

To thrive in an entry-level machine learning role with no prior experience, you should possess a solid understanding of mathematics (especially statistics and linear algebra), basic programming knowledge (often in Python), and a willingness to learn. Familiarity with popular data science tools and frameworks such as scikit-learn, TensorFlow, or online courses and certifications in machine learning is advantageous. Curiosity, problem-solving abilities, and effective communication are soft skills that help you work collaboratively and adapt to new challenges. These attributes are important because they enable quick learning, help you contribute to team projects, and support your growth in a rapidly evolving technical field.

What are the key skills and qualifications needed to thrive in the No Experience Machine Learning position, and why are they important?

To thrive in an entry-level machine learning role with no prior experience, you should possess a solid understanding of mathematics (especially statistics and linear algebra), basic programming knowledge (often in Python), and a willingness to learn. Familiarity with popular data science tools and frameworks such as scikit-learn, TensorFlow, or online courses and certifications in machine learning is advantageous. Curiosity, problem-solving abilities, and effective communication are soft skills that help you work collaboratively and adapt to new challenges. These attributes are important because they enable quick learning, help you contribute to team projects, and support your growth in a rapidly evolving technical field.

What kinds of projects or learning opportunities can I expect in a no experience machine learning role?

In a no experience machine learning role, you will often start by assisting with data preprocessing, exploring datasets, and supporting more experienced engineers on real-world projects. You may also participate in internal trainings, mentorship programs, or hands-on workshops to build up your technical skills. Collaboration is common, so expect regular team meetings and opportunities to pair-program or seek guidance from senior colleagues. Over time, as you gain proficiency, you may be assigned small-scale projects or research tasks, providing a clear pathway to take on more complex responsibilities. This supportive environment is designed to help you gradually develop expertise and advance your career in machine learning.
More about No Experience Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Raleigh, NC? The most popular types of Machine Learning jobs in Raleigh, NC are:
What are popular job titles related to No Experience Machine Learning jobs in Raleigh, NC? For No Experience Machine Learning jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching No Experience Machine Learning jobs in Raleigh, NC look for? The top searched job categories for No Experience Machine Learning jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for No Experience Machine Learning jobs? Cities near Raleigh, NC with the most No Experience Machine Learning job openings:
No Experience Machine Learning jobs near you
Infographic showing various No Experience Machine Learning job openings in Raleigh, NC as of May 2026, with employment types broken down into 63% Full Time, 31% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 33% Physical, 4% Hybrid, and 63% Remote job distribution, with an average salary of $46,143 per year, or $22.2 per hour.

Machine Learning Engineer

ExtendMyTeam

Cary, NC • On-site

Full-time

Posted 9 days ago

Job description

Join a high-growth financial technology organization focused on building modern digital banking, payments, lending, and risk solutions for financial institutions and fintech partners. This team is investing in machine learning and analytics capabilities to help improve fraud detection, predictive insights, and operational decision-making across customer-facing products.

This is an opportunity to work on applied machine learning systems that directly support real-world fraud and risk workflows. The team owns solutions end-to-end and is focused on building scalable, production-ready ML applications that deliver measurable customer impact.

Position Summary

We are seeking a Machine Learning Engineer to help design, deploy, and support production machine learning systems within a collaborative engineering organization. This individual will work closely with software engineers, data scientists, and product teams to operationalize machine learning models, improve ML infrastructure, and support scalable analytics workflows.

This is a hands-on engineering role focused on production systems, model deployment, APIs, pipelines, and ML operations rather than purely research-oriented machine learning work.

Responsibilities

  • Build and maintain systems and pipelines supporting machine learning training, evaluation, inference, and monitoring

  • Deploy and support machine learning models in production environments

  • Write clean, scalable, maintainable, and well-tested Python code

  • Support monitoring, troubleshooting, and optimization of production ML systems and data pipelines

  • Collaborate cross-functionally with engineering, data science, and product teams to operationalize ML solutions

  • Improve the reliability, scalability, and performance of ML infrastructure and services

  • Contribute to tooling and processes that support the machine learning development lifecycle

  • Participate in code reviews, technical discussions, and collaborative problem solving

Required Qualifications

  • 2+ years of experience in machine learning engineering, software engineering, or related technical experience

  • Strong Python development experience

  • Experience working with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn

  • Experience deploying or supporting machine learning models in production environments

  • Experience writing clean, maintainable code and using version control tools such as Git

  • Exposure to cloud platforms such as AWS, GCP, or Azure

  • Understanding of taking machine learning models from research/development into production systems

Additional Information

  • Hybrid work environment based in Cary, NC

  • Applicants must be authorized to work in the U.S. without sponsorship

  • Competitive compensation, benefits, flexible time off, and career development opportunities