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Machine Learning Contract Jobs in North Carolina

Randstad Digital

AI / ML Data Analyst

Charlotte, NC · On-site

$40.70 - $50.70/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Contract salary: $40.70 - 50.70 per hour work hours: 8am to 5pm education: Bachelors ... Utilize AI and Machine Learning techniques to identify trends, predict outcomes, and uncover ...

TEKsystems

Principal Data Scientist

Raleigh, NC

$75 - $90/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Machine learning,Artificial intelligence Additional Skills & Qualifications NA Experience Level Expert Level Job Type & Location This is a Contract to Hire position based out of Raleigh, NC. Pay and ...

Ztek Consulting INC

Data Scientist

Charlotte, NC · On-site

Contract Key Responsibilities * Design and implement end-to-end machine learning ML pipelines using services such as Amazon SageMaker AWS Glue AWS Lambda and Amazon S3 * Perform data collection ...

Accord Technologies Inc.

Gen AI Architect

Charlotte, NC · On-site

W2 contract We are seeking a Generative AI Architect to lead the design and delivery of secure ... Experience in software architecture, engineering, machine learning, or data engineering. * Hands-on ...

Targan Inc

Senior Vision Software Engineer

Raleigh, NC · On-site

$119K - $157K/yr

Develop and implement machine learning derived software to solve business problems. * Integrate ... This document does not create an employment contract, implied or otherwise, other than an "at will ...

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Machine Learning Contract information

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How much do machine learning contract jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for machine learning contract in North Carolina is $20.74, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $23.17 per hour, depending on experience, location, and employer.

What is a machine learning contract?

A Machine Learning Contract job is a temporary or project-based role where professionals develop and implement machine learning models for a company. Contractors may work on tasks such as data preprocessing, model training, evaluation, and deployment. These roles are often remote or short-term, allowing companies to hire expertise for specific projects without long-term commitments.

What are the typical responsibilities and workflow for a machine learning contract?

As a Machine Learning Contract professional, you’ll often be brought in to design, build, and deploy machine learning models tailored to a client’s specific challenges, ranging from data preprocessing and exploratory analysis to model selection and performance tuning. You may also be responsible for documenting your work, presenting results to stakeholders, and advising on best practices for model integration. Contract positions frequently involve collaborating remotely with cross-functional teams and meeting project milestones within set timelines. This role is ideal for those who enjoy variety, autonomy, and leveraging their expertise across different industries and datasets.

What are the key skills and qualifications needed to thrive in a machine learning contract, and why are they important?

To thrive as a Machine Learning Contract professional, you need a solid background in programming (Python, R), data analysis, and machine learning algorithms, usually supported by a relevant degree in computer science or a related field. Familiarity with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, as well as experience with cloud platforms like AWS or Azure, is typically required. Strong problem-solving abilities, time management, and effective communication are standout soft skills in contract-based roles. These competencies are crucial for efficiently delivering project-based solutions, collaborating with clients, and staying adaptable to varied organizational needs.

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 Contract jobs in North Carolina?

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

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

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

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

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

Machine Learning Contract jobs near you
Infographic showing various Machine Learning Contract job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $43,139 per year, or $20.7 per hour.

AI / ML Data Analyst

Randstad Digital

Charlotte, NC • On-site

$40.70 - $50.70/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago

Job description

job summary:

We are seeking a highly motivated Data Analyst with strong analytical skills and practical knowledge of Artificial Intelligence (AI), Machine Learning (ML), and Data Analytics to transform data into actionable business insights. The ideal candidate will leverage traditional analytics techniques along with AI-driven tools and automation to support strategic decision-making, improve operational efficiency, and drive business outcomes.


location: Charlotte, North Carolina
job type: Contract
salary: $40.70 - 50.70 per hour
work hours: 8am to 5pm
education: Bachelors
responsibilities:
  • Collect, analyze, and interpret large datasets from multiple internal and external sources.
  • Design, develop, and maintain dashboards, reports, and visualizations using tools such as Power BI, Tableau, or similar platforms.
  • Utilize AI and Machine Learning techniques to identify trends, predict outcomes, and uncover business opportunities.
  • Develop and optimize SQL queries and data models to support reporting and analytics needs.
  • Perform data quality assessments, validation, and cleansing activities.
  • Partner with business stakeholders to understand requirements and translate them into data-driven solutions.
  • Use Generative AI and advanced analytics tools to automate reporting, insights generation, and data exploration.
  • Monitor key business metrics and proactively identify risks, anomalies, and improvement opportunities.
  • Collaborate with Data Engineering, Product, Technology, and Business teams to implement analytical solutions.
  • Present findings and recommendations to senior leadership and stakeholders.
  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Information Systems, Engineering, or a related field.
  • 3+ years of experience in Data Analytics, Business Intelligence, or related disciplines.
  • Experience with Power BI, Tableau, or similar visualization tools.
  • Solid understanding of statistical analysis and data modeling.
  • Strong problem-solving and communication skills.
  • Knowledge of Machine Learning concepts and predictive analytics.
  • Experience with AI/ML libraries such as Scikit-Learn, TensorFlow, or PyTorch.
  • Familiarity with Generative AI platforms and Large Language Models (LLMs).
  • Experience using AI-assisted analytics tools such as Microsoft Copilot, Azure AI, OpenAI APIs, or similar technologies.
  • Understanding of prompt engineering and AI-driven data exploration.
  • Knowledge of AI governance, responsible AI practices, and data privacy considerations.
  • - May collaborate with programmers to coordinate delivery of software application.
  • - Routine accountability is for technical knowledge and capabilities. Works under minimal supervision, with general guidance from more seasoned consultants.

qualifications:

Collect, analyze, and interpret large datasets from multiple internal and external sources.


Design, develop, and maintain dashboards, reports, and visualizations using tools such as Power BI, Tableau, or similar platforms.


Utilize AI and Machine Learning techniques to identify trends, predict outcomes, and uncover business opportunities.


Develop and optimize SQL queries and data models to support reporting and analytics needs.


Perform data quality assessments, validation, and cleansing activities.


Partner with business stakeholders to understand requirements and translate them into data-driven solutions.


Use Generative AI and advanced analytics tools to automate reporting, insights generation, and data exploration.


Monitor key business metrics and proactively identify risks, anomalies, and improvement opportunities.


Collaborate with Data Engineering, Product, Technology, and Business teams to implement analytical solutions.


Present findings and recommendations to senior leadership and stakeholders.


Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Information Systems, Engineering, or a related field.


3+ years of experience in Data Analytics, Business Intelligence, or related disciplines.


Experience with Power BI, Tableau, or similar visualization tools.


Solid understanding of statistical analysis and data modeling.


Strong problem-solving and communication skills.


Knowledge of Machine Learning concepts and predictive analytics.


Experience with AI/ML libraries such as Scikit-Learn, TensorFlow, or PyTorch.


Familiarity with Generative AI platforms and Large Language Models (LLMs).


Experience using AI-assisted analytics tools such as Microsoft Copilot, Azure AI, OpenAI APIs, or similar technologies.


Understanding of prompt engineering and AI-driven data exploration.


Knowledge of AI governance, responsible AI practices, and data privacy considerations.


- May collaborate with programmers to coordinate delivery of software application.


- Routine accountability is for technical knowledge and capabilities. Works under minimal supervision, with general guidance from more seasoned consultants.


skills:

APIs,Artificial Intelligence (AI),AI-driven tools,AI and Machine Learning,AI,large datasets,data exploration,Data Analytics,visualization tools,Generative AI,Data Engineering,Information Systems,Computer Science,Large Language Models,LLMs,Machine Learning,Machine Learning concepts,Azure,Microsoft Copilot,Power BI,prompt engineering,PyTorch,SQL queries,ML libraries,Scikit-Learn,software application,Tableau,TensorFlow,analytics tools,strong analytical skills,communication skills,leadership,highly motivated,proactively,minimal supervision,analytical solutions,automation,operational efficiency,actionable business insights,Business Intelligence,key business metrics,assessments,responsible AI practices,dashboards,responsible AI,data models,data modeling,data privacy,data quality,Data Science,AI governance,Mathematics,Statistics,statistical analysis,predictive analytics,risks,strategic decision-making,technical knowledge,identify trends,visualizations



Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.

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