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Machine Learning Jobs in Charlotte, NC (NOW HIRING)

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading ...

Senior Machine Learning Test Engineer

Concord, NC · On-site +1

$102K - $133K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East Coast Position Overview As a Senior Machine Learning Test Engineer in the Research Enablement team ...

Your Journey at Crowe Starts Here: At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you're trusted to deliver results and make an ...

Showing results 21-40

Machine Learning information

See Charlotte, NC salary details

$24.9K

$41.6K

$86K

How much do machine learning jobs pay per year?

As of Aug 23, 2026, the average yearly pay for machine learning in Charlotte, NC is $41,592.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,700.00 and $44,900.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Is machine learning a high paying job?

Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the most commonly searched types of Machine Learning jobs in Charlotte, NC?

The most popular types of Machine Learning jobs in Charlotte, NC are:

What are popular job titles related to Machine Learning jobs in Charlotte, NC?

For Machine Learning jobs in Charlotte, NC, the most frequently searched job titles are:

What job categories do people searching Machine Learning jobs in Charlotte, NC look for?

The top searched job categories for Machine Learning jobs in Charlotte, NC are:

What cities near Charlotte, NC are hiring for Machine Learning jobs?

Cities near Charlotte, NC with the most Machine Learning job openings:

Infographic showing various Machine Learning job openings in Charlotte, NC as of August 2026, with employment types broken down into 50% Full Time, 20% Part Time, and 30% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $41,592 per year, or $20 per hour.

Senior Machine Learning Engineer II

Socket.dev

Charlotte, NC • On-site

$150 - $188/hr

Other

Posted 5 days ago


Job description

About Judi Health

Judi Health is a health technology company providing benefit administration solutions to employers, unions, health plans, and government entities. Judi Health replaces fragmented, outdated systems with the industry's first Unified Claims Processing™ architecture, seamlessly consolidating pharmacy and medical benefit administration on a single, secure platform. By delivering true price transparency, eliminating unnecessary middleman fees, and leveraging advanced AI-powered care delivery, Judi Health helps clients achieve unprecedented operational efficiency and service levels.

At Judi Health, we're deploying the infrastructure our country needs to deliver the healthcare we all deserve. We are the intelligence platform powering benefits plans for millions of Americans and proudly leading the next generation of care. To learn more, visit www.judi.health.

Location:Hybrid 3 days (offices in NYC, Denver, CO and Charlotte, NC area)

Position Summary:

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer II. We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services.

In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare.

Responsibilities
  • Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.
  • Develop and maintain backend services using Python, focusing on AI-driven applications.
  • Design and implement APIs for seamless integration with AI models and services.
  • Collaborate with product managers, engineers, and other stakeholders as a specialist and subject matter expert in machine learning.
  • Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.
  • Participate in code reviews, testing, and quality assurance processes.
  • Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services.
  • Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes.
  • Document and communicate development processes, system designs, and architectural decisions.
  • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations.
Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • Minimum 6+ years of experience in industry with a strong focus on ML solutions development and production deployment.
  • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development.
  • Strong proficiency in Python and familiarity with ML libraries such as PyTorch.
  • Statistical Machine Learning and Artificial Intelligence in the context of NLP, Speech, RAG, Virtual Agents, and/or Document Processing technologies
  • Familiarity with cloud platforms such as AWS or Azure.
  • Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Experience developing and fine-tuning prompts on any of the GenAI services
  • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.
  • Passion for customer, innovation, product quality, service excellence, and test engineering
  • The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment.
  • Experience working with microservices/an API-based application paradigm.
  • Good written communication skills that enable collaboration in a remote environment.

This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

New York, NY Salary Range: $180,400 — $225,500 USD

Denver, CO Salary Range: $165,600 — $207,000 USD

Charlotte, NC Salary Range: $150,400 — $188,000 USD

All employees are responsible for adherence to the Judi Health Code of Conduct including the reporting of non-compliance. This position description is designed to flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found athttps://www.judi.health/legal/privacy-policy.

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