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Machine Learning Part Time Jobs in North Carolina

Temporary IT Analyst / Programmer II

Raleigh, NC · On-site

$30 - $39/hr

... Machine Learning Operations (MLOps) pathway. This pathway will bridge ongoing work in computer ... Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status.

Job Shop Machinist

Angier, NC · On-site

$15 - $20.75/hr

Facilities Employment Type: Part-Time Who We Are At Puck, we are Built to Lead. We are a dynamic ... Continuously monitoring machine operations and product output to identify and address any ...

Job Shop Machinist

Angier, NC · On-site

$15 - $20.75/hr

Facilities Employment Type: Part-Time Who We Are At Puck, we are Built to Lead . We are a dynamic ... Continuously monitoring machine operations and product output to identify and address any ...

Job Shop Machinist

Angier, NC · On-site

$15 - $20.75/hr

Part-Time Who We Are At Puck, we areBuilt to Lead. We are a dynamic manufacturing company committed ... Continuously monitoring machine operations and product output to identify and address any ...

... Part-Time Temporary Hours per week 30 Work Schedule Monday - Friday Position Location North ... to the machine-learning team integrating their models on-device and handling conversion and ...

Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status ... Exploring Machine Learning, * Predictive Analytics for Improving Services, Appointments will be for ...

Showing results 21-40

Machine Learning Part Time information

See North Carolina salary details

$23.2K

$38.7K

$80K

How much do machine learning part time jobs pay per year?

As of Sep 7, 2026, the average yearly pay for machine learning part time in North Carolina is $38,700.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,500.00 and $41,800.00 per year, depending on experience, location, and employer.

What is a machine learning part time job?

A Machine Learning Part Time job is a role where individuals work on ML-related tasks with a flexible or reduced schedule. These roles can involve data preprocessing, model development, evaluation, or deployment, depending on the organization's needs. Part-time positions are often suitable for students, freelancers, or professionals looking to gain experience while managing other commitments. They may be remote or on-site and can vary in duration and workload.

What are the typical responsibilities and expectations for a part-time machine learning role?

In a part-time machine learning position, you are generally expected to assist with data preprocessing, model development, and analysis of project results under the guidance of a senior data scientist or engineer. Your tasks might include cleaning datasets, coding algorithms, running experiments, and preparing reports or presentations for team meetings. The work is often project-based and requires regular communication with team members to ensure alignment on objectives and deliverables. This structure allows you to gain hands-on experience with real-world datasets and industry tools while maintaining a flexible schedule, making it ideal for students or professionals transitioning into the field.

What are the key skills and qualifications needed to thrive in the machine learning part time position, and why are they important?

To thrive as a Machine Learning Part Time professional, you need a strong foundation in statistics, programming (often Python or R), and knowledge of core machine learning algorithms, typically demonstrated through a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, Scikit-learn, or PyTorch and experience with data preprocessing tools or cloud platforms are commonly expected, and certifications like TensorFlow Developer can be beneficial. Effective communication, time management, and the ability to work independently are key soft skills for success in this role. These competencies enable you to efficiently contribute to projects, solve complex problems, and collaborate remotely or in hybrid team environments.

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

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

What are popular job titles related to Machine Learning Part Time jobs in North Carolina?

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

What job categories do people searching Machine Learning Part Time jobs in North Carolina look for?

The top searched job categories for Machine Learning Part Time jobs in North Carolina are:

What cities in North Carolina are hiring for Machine Learning Part Time jobs?

Cities in North Carolina with the most Machine Learning Part Time job openings:

Infographic showing various Machine Learning Part Time job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 18% Part Time, 7% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $38,700 per year, or $18.6 per hour.

2026-2027 Wells Fargo Corporate Risk Externship Program (Masters) - Early Careers

Wells Fargo

Charlotte, NC • On-site

Part-time

Posted 6 days ago


Key responsibilities

  • Collaborate with risk teams to develop and validate models using statistical and machine learning techniques.

  • Develop AI tools and solutions to enhance risk management strategies.

  • Present insights and collaborate with stakeholders to support risk oversight and reporting.


Wells Fargo rating

7.8

Company rating: 7.8 out of 10

Based on 714 frontline employees who took The Breakroom Quiz

89th of 175 rated banks


Job description

About this role:WellsFargo is seeking talent to join the2026-2027Wells Fargo Corporate Risk Externship Program (Masters). Learn more about the career areas and lines of business atwellsfargojobs.com.

Program Overview |Are you aUNC Charlotte master's studentready to turn your data skills into real-world impact-without leaving the Queen City? Wells Fargo'sCorporate Risk Externship Programis your opportunity to dive into the world of financial risk, analytics, and AI while staying close to campus.

This paid, part-time externship is designed for students like you: curious, driven, and ready to explore how data science powers smarter decisions in banking.#earlycareers

WhatYou'llExplore

You'llbe matched with one of our high-impact risk teams:

  • Model Risk Management (MRM):Ensure models areaccurateand regulatory-ready.

  • Independent Testing & Validation (IT&V):Validatethe effectiveness of controls within the organization.

  • Technology Risk Management:Use AI/ML to enhance risk oversight across all business lines.

  • Risk Analytics, Data, and Reporting (RADAR):Deliver critical reporting, analytics, and business support solutions across the organization.

  • Risk AI:Develop multi-agent solutions that support risk management across the company.

WhatYou'llExperience:

  • Code in Python, R, SAS, SQL, or Scala/Spark

  • Develop AI tools and solutions that enhance risk management strategies

  • Develop andvalidatemodels using statistical and machine learning techniques

  • Collaborate with experts and present your insights to stakeholders

  • Stay current with regulatory frameworks and risk trends

  • Solve real problems with real data

Program dates:October 2026 - March 2027

Program Duration:20 hours a week

Program Location:Charlotte, NC


Required Qualifications:

  • 6+ months of work experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education


Required Qualifications for Europe, Middle East & Africa only:

  • Work experience, or equivalent demonstrated through one or a combination of the following: work experience, training, education

Desiredqualifications:

  • Enrolled in the Data Scienceor Computing and Informaticsmaster's program atUNCC withan expected graduation date ofMay2027or later

  • Completed undergraduate degree in Statistics, Computer Science, Economics/Econometrics, Operations Research, Computer Science, Engineering, or a related quantitative field

  • Courses in model risk management, textminingand/or information retrieval highly preferred

  • Experience and ability todemonstratefirst-hand knowledge in several of these areas: data analytics, modeling, statistical inference, computing, big data analytics, Artificial Intelligence (machine learning, natural language processing, etc.)

  • Knowledge of Programing skills anddemonstratedability to develop numerical algorithms in at least one of the following languages: Python, SAS, SQL, and Scala/Spark

  • Strong verbal and written communication skills as well as interpersonal skills

  • Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment

  • Ability to develop partnerships and collaborate with other business and functional areas

Applications openAugust 31-September 2,2026only!

Wells Fargo only considers candidates who are presently authorized to work for any employer in the United States and who do not require work visa sponsorship from Wells Fargo now or in the futurein order toretaintheir authorization to work in the United States.

Based on the volume of applications received, this job posting may be removed prior to the indicated close date. If you do not apply prior to the closing of thisposting, we encourage you to apply for other opportunities with Wells Fargo. Aftersubmittingyour application, pleasemonitoryour e-mail for future communications.

Posting End Date:

2 Sep 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visitDisability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.


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About Wells Fargo

Sourced by ZipRecruiter

Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets, proudly serves one in three U.S. households and more than 10% of small businesses in the U.S., and is a leading middle market banking provider in the U.S. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 41 on Fortune's 2022 rankings of America's largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health and a low-carbon economy.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1852

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