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

NSS

Machine Learning Engineer

Concord, NC · Remote

As an ML software developer, you will be responsible for feature development to deliver AI and machine learning solutions into our product. Your software development expertise and experience with ML ...

NSS

Machine Learning Engineer

Concord, NC · Remote

As an ML software developer, you will be responsible for feature development to deliver AI and machine learning solutions into our product. Your software development expertise and experience with ML ...

Bespoke Labs

Machine Learning Engineer

Rock Hill, SC · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Charlotte, NC · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

The Hartford

AI Machine Learning Engineer

Charlotte, NC · Hybrid

$100K - $151K/yr

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

The Hartford

Sr AI Machine Learning Engineer

Charlotte, NC · Hybrid

$117K - $175K/yr

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 ...

Autodesk

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 ...

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

Machine Learning Engineer information

See Matthews, NC salary details

$29.6K

$121K

$181.8K

How much do machine learning engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for machine learning engineer in Matthews, NC is $121,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,400.00 and $145,700.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

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 engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

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 cities near Matthews, NC are hiring for Machine Learning Engineer jobs? Cities near Matthews, NC with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Matthews, NC as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $121,013 per year, or $58.2 per hour.
Machine Learning Engineer

Machine Learning Engineer

NSS

Concord, NC • Remote

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

We are working on a project that tackles the problem of managing large-scale IT networks. We are seeking talented and highly motivated developers to join us in bringing this project to a larger audience.
As an ML software developer, you will be responsible for feature development to deliver AI and machine learning solutions into our product. Your software development expertise and experience with ML will play a crucial role in delivering intelligent systems that improve VAE's flagship software product, ITPIE. Together with a small machine learning team, you will be responsible to ensure the successful integration of AI/ML models into our existing software and assist in delivering expert systems through AI/ML technologies.
Our application is primarily built using .NET, using TypeScript on the frontend, PostgreSQL for data storage, and Python for ML components. The application source is hosted in GitLab, and we use GitLab CI and Git to manage our code contribution workflows.
Roles and Responsibilities
  • Integrate AI/ML models into production systems
  • Collaborate with existing team members to preprocess and analyze large datasets
  • Work with subject matter experts to build out training/testing datasets
  • Design and build tests for AI/ML solutions and data pipelines.
Things we really need
  • Proficiency in Python and .NET (C#)
  • Understanding of web transport fundamentals (HTTP, REST, WebSockets)
  • Experience building and running unit and integration tests
  • Experience with machine learning algorithms and frameworks in Python
  • United States citizenship
  • 5-8 years of software development experience with ML-related experience
Things we'd like
  • Experience with relational databases such as PostgreSQL
  • Familiarity with newer .NET machine learning offerings
  • Familiarity with Cloud environments (e.g. AWS, Azure) and offerings
  • Strong analytical and problem-solving abilities
  • Excellent communication and teamwork skills
Things that are extra cool
  • Advanced knowledge of Python ecosystem and internals
  • Advanced knowledge of .NET runtime (reflection, performance optimization)
  • Working understanding of network concepts
  • Familiarity with Linux environments
Our end of the bargain
  • Remote-first environment (if that's your thing)
  • Dedicated collaborative office space in NoVA (if that's your thing)
  • We respect work/life balance
  • Occasional on-site team summits
  • Competitive salary and annual reviews
NSS logo

About NSS

Sourced by ZipRecruiter

NSS RPO was founded by Jessica Nicholson and Conor Nicholson in 2009. They saw the need for a nice services company that valued their employees by putting them first. With Jessica’s organizational skills and strategy along with Conor’s network, the company employed 25 contract recruiters in less than a year and proceeded to make the Inc. 5000 as one of the fastest growing companies in America, three years in a row. Since its inception, NSS RPO has hired hundreds of recruiters in over 30 states. NSS RPO is proud to include among its clients eight of the ten largest government contractors, the world's largest job board, entertainment company and one of the nation’s largest banks. NSS RPO is your trusted provider of Recruitment Process Outsourcing (RPO) solutions. Founded by an experienced recruiter and solely focused on RPO, NSS RPO offers a strong network of exceptional recruiters and customizable staffing solutions. Named to Washington Business Journal’s prestigious list of Top 25 Staffing Agencies seven years in a row, NSS RPO is known for its quality, agility, and expertise. If you have a recruitment staffing need at your organization, NSS RPO can customize a solution for you, no matter how big or small.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Herndon, VA, US

Social media

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