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No Experience Machine Learning Jobs in Fort Mill, SC

Marencor

ML Engineer

Charlotte, NC · On-site

Proven experience in data science, machine learning, or predictive analytics roles * Proficiency in programming languages commonly used in data science (e.g., Python, R, etc.) * Experienced in using ...

The Hartford

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

The Hartford is developing industry-leading AI and machine learning capabilities to improve customer experience (CX) at scale. Within Customer Operations Data Science, we build modern AI products ...

Jobsultant Solutions

Data Analyst

Charlotte, NC · On-site

Industry experience in predictive modeling, data science and analysis. Knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, Scikit-Learn and cloud computing platforms ...

CYNET SYSTEMS

Data Scientist

Charlotte, NC · On-site

$60 - $65/hr

Experience with machine learning frameworks and tools. Responsibilities: * Design and implement end-to-end machine learning (ML) pipelines using services such as Amazon SageMaker, AWS Glue, AWS ...

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

As of Aug 21, 2026, the average hourly pay for no experience machine learning in Fort Mill, SC is $20.05, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $22.40 per hour, depending on experience, location, and employer.

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.

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.

Can you get a machine learning job with no experience?

Entry-level machine learning roles often require some knowledge of programming, statistics, and data analysis, but many employers are willing to hire candidates with little to no experience if they demonstrate strong foundational skills and a willingness to learn. Building a portfolio through online courses, projects, and certifications can improve chances of securing such positions. Internships and apprenticeships are also common pathways for those new to the field.

What are the most commonly searched types of Machine Learning jobs in Fort Mill, SC?

The most popular types of Machine Learning jobs in Fort Mill, SC are:

What job categories do people searching No Experience Machine Learning jobs in Fort Mill, SC look for?

The top searched job categories for No Experience Machine Learning jobs in Fort Mill, SC are:

What cities near Fort Mill, SC are hiring for No Experience Machine Learning jobs?

Cities near Fort Mill, SC 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 Fort Mill, SC as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $41,713 per year, or $20.1 per hour.

IT Business Analyst - AI and Process transformation

Strategic Staffing Solutions

Charlotte, NC • On-site, Remote

Full-time

Posted 6 days ago

Job description

Job Description Strategic Staffing Solutions is currently looking for a Senior AI Solutions & Process Transformation Consultant,W-2 contract opportunity. Senior AI Solutions & Process Transformation Consultant Location: Open to remote/virtual working EST hours. Type: W-2 Contract (NO C2C) Contract: 12 months This is a W-2 contract opportunity, and candidates must be able to work on our W-2 only.

NO C2C or 1099. Top 3 Skills: Bachelor's degree in Business, Information Systems, Computer Science, Engineering, Operations, Mathematics, Data Science, or related field. Minimum 3 years of AI, machine learning, or data science experience.

Programming experience, preferably Python, for AI development, prototyping, automation, data analysis, or integration support. Position Summary Residential Solutions is seeking a Senior AI Solutions & Process Transformation Consultant to identify, design, build, and implement AI-enabled business solutions. This contractor will partner with the AI Portfolio & Product Lead and business stakeholders to assess processes, prioritize opportunities, design future-state workflows, build practical solutions, and support deployment and adoption.

The ideal candidate combines process improvement, stakeholder facilitation, hands-on AI execution, data science, and technical AI development experience using approved enterprise technologies. Primary Responsibilities Partner with the AI Portfolio & Product Lead to evaluate, prioritize, roadmap, and deliver Residential Solutions AI opportunities. Facilitate stakeholder discovery sessions and process reviews to identify AI, automation, workflow, and decision-support opportunities.

Document current-state processes and design future-state workflows, process maps, decision logic, requirements, MVPs, and pilot plans. Configure, build, test, and deploy AI-enabled solutions using approved tools, including copilots, AI agents, automations, prompts, business rules, and integrations. Apply Python, machine learning, AI frameworks, cloud services, and data science techniques to support prototyping, analytics, model development, and solution evaluation.

Lead pilot deployments, support user acceptance testing, coordinate with technology teams/vendors, track risks and dependencies, and measure adoption and business value. Create reusable templates, accelerators, training materials, and lessons learned to strengthen repeatable AI delivery for Residential Solutions. Required Qualifications Bachelor's degree in Business, Information Systems, Computer Science, Engineering, Operations, Mathematics, Data Science, or related field.

Minimum 3 years of AI, machine learning, or data science experience. Experience delivering automation or AI-enabled solutions from concept through deployment. Programming experience, preferably Python, for AI development, prototyping, automation, data analysis, or integration support.

Experience with machine learning model development and AI frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar tools. Experience with AWS or related cloud services supporting AI, machine learning, data processing, or deployment. Advanced data science experience, including data exploration, model evaluation, statistical analysis, predictive analytics, NLP, computer vision, generative AI, or intelligent decision support.

Strong process mapping, requirements gathering, communication, facilitation, and stakeholder management skills. Desired Qualifications Experience with Microsoft Copilot, Copilot Studio, Power Platform, Power Automate, Power Apps, AI agents, or similar automation tools. Experience with low-code/no-code configuration, workflow automation, Agile delivery, Lean Six Sigma, digital transformation, or utility industry initiatives.

Success Measures AI solutions implemented, adopted, and scaled. Reduction in manual effort and improved productivity or operational efficiency. Speed from opportunity identification to pilot or deployment.

Quality, scalability, and business value of AI-enabled solutions. "Beware of scams. S3 never asks for money during its onboarding process."

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