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Machine Learning Engineer Jobs in Gastonia, NC (NOW HIRING)

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 ...

Donato Technologies, Inc

ML Ops Engineer

Charlotte, NC · On-site

$60/hr

Overview Machine Learning AI team seeking a ML Ops Engineer to drive the full lifecycle of machine learning solutions. Key Responsibilities * Develop and maintain ML pipelines using tools like MLflow ...

Pwc

AI Engineer

Charlotte, NC · On-site

$55K - $187K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...

SysMind, LLC

Gen AI Engineer

Charlotte, NC · On-site

... Machine Learning Engineer AWS AI Practitioner Experience with MLOps CICD and infrastructureascode tools Terraform CloudFormation Familiarity with other LLM providers such as OpenAI Meta Llama Mistral ...

Pwc

AI Engineer

Charlotte, NC · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

Pwc

AI Solutions Engineering Delivery Lead

Charlotte, NC · On-site

$100K - $131K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Scout Motors

Lead, AI Engineering

Charlotte, NC · On-site

$100K - $131K/yr

The team combines expertise in machine learning, generative AI, data engineering, and platform infrastructure to deliver innovative solutions that improve business outcomes and accelerate digital ...

IntraEdge

Cybersecurity Engineer - Lead

Charlotte, NC · On-site

Build and apply machine learning models to identify security anomalies, enrich event context, and predict threats. * Collaborate with Security Operations Center (SOC) , DevOps , IT , and business ...

DPR Construction

MLOps Engineer

Charlotte, NC · On-site

We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...

Moody's Corporation

Senior Software Engineer

Charlotte, NC · On-site

$116K - $169K/yr

By joining the team, you will collaborate closely with machine learning engineers and data ... scientists to solve complex engineering challenges and deliver meaningful impact for customers and ...

Pwc

CTIO AI Engineering Manager

Charlotte, NC · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Deloitte

Senior Forward Deployed Engineer- AWS

Charlotte, NC

$102K - $140K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

CYNET SYSTEMS

AWS Generative AI Engineer

Charlotte, NC · On-site

$45 - $50/hr

AWS certifications such as AWS Certified, AWS Certified Machine Learning Engineer, or AWS AI Practitioner. * Experience with MLOps, CI/CD, and infrastructure-as-code tools like Terraform and ...

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Showing results 41-60

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Gastonia, NC

Machine Learning Engineer information

See Gastonia, NC salary details

$28.8K

$117.7K

$176.8K

How much do machine learning engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for machine learning engineer in Gastonia, NC is $117,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,800.00 and $141,600.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Gastonia, NC? The most popular types of Machine Learning Engineer jobs in Gastonia, NC are:
What are popular job titles related to Machine Learning Engineer jobs in Gastonia, NC? For Machine Learning Engineer jobs in Gastonia, NC, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Gastonia, NC look for? The top searched job categories for Machine Learning Engineer jobs in Gastonia, NC are:
What cities near Gastonia, NC are hiring for Machine Learning Engineer jobs? Cities near Gastonia, NC with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Gastonia, NC as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $117,675 per year, or $56.6 per hour.

ML Engineer

Marencor

Charlotte, NC • On-site

Contractor

Re-posted 10 days ago

Job description

ML Engineer
Location: Charlotte
Contract : 12 months

JD:

  • Advanced degree (Master’s or Ph.D.) in Computer Science, Statistics, Mathematics, Economics, or related field.
  • 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 AI/ML platforms, technologies, techniques (e.g. TensorFlow, PyTorch, scikit-learn, NLP, LLM, GenAI)
  • Design and conduct experiments to test hypotheses and validate model assumptions
  • Analyze experimental results and provide recommendations for further optimization.
  • Implement clustering, classification, regression, and other machine learning algorithms as needed.
  • Apply data mining techniques to extract actionable insights from structured and unstructured data.
  • Identify patterns and anomalies in data to detect fraud, predict customer behavior, or optimize business processes.
  • Develop and deploy predictive models using machine learning algorithms
  • Perform feature engineering, model selection, and hyperparameter tuning to optimize model performance.
  • Evaluate model accuracy, precision, recall, and other performance metrics
  • Collaborate with cross-functional teams, including engineers, product managers, and business stakeholders