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Machine Learning Engineer Jobs in Burlington, NC

CTIO AI Engineering Manager

Greensboro, 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 ...

NGA AI Engineer Manager

Greensboro, 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 ...

... Data Engineers in deploying models to production, participate in MLOps processes. Work with stakeholders throughout the organization to identify opportunities for leveraging machine learning ...

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 ...

... machine learning algorithms and predictive modeling techniques - Collaborating with clients to validate outcomes and incorporate feedback into data solutions - Directing teams through complex ...

CNC Set Up Machinist

Whitsett, NC · On-site

$18 - $34/hr

... learning with, and from, engineering, and programming team to improve operationsWorking to machine dimensions and maintain close tolerances and correlated dimensionsSetting and loading all tools in ...

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based ...

CNC Set Up Machinist

Whitsett, NC · On-site

$15.25 - $21/hr

Interested in learning with, and from, engineering, and programming team to improve operations * Working to machine dimensions and maintain close tolerances and correlated dimensions * Setting and ...

Showing results 21-40

Machine Learning Engineer information

See Burlington, NC salary details

$26.3K

$107.5K

$161.5K

How much do machine learning engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning engineer in Burlington, NC is $107,493.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,700.00 and $129,400.00 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 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 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 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.

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

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

Infographic showing various Machine Learning Engineer job openings in Burlington, NC 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, 2% Hybrid, and 11% Remote job distribution, with an average salary of $107,493 per year, or $51.7 per hour.

Forward Deployed Engineer with Security Clearance

Chapel Hill, NC • On-site

Zachary Piper Solutions, LLC
IT Services • 51 - 200 employees

$225K - $230K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


Job description

Piper Companies is seeking a Forward Deployed Engineer to help drive AI-powered solutions for a cutting-edge technology organization. The Forward Deployed Engineer role is ideal for an engineer who excels at working directly with customers to architect, implement, and optimize AI applications, with a strong focus on Retrieval-Augmented Generation (RAG), data connectivity, and enterprise-scale integrations. Responsibilities of the Forward Deployed Engineer: · Partner directly with customers to understand business challenges and design AI-driven solutions that deliver measurable value. · Implement and optimize Retrieval-Augmented Generation (RAG) architectures to improve the accuracy and relevance of AI applications. · Design and develop data connectivity solutions that integrate structured and unstructured enterprise data sources into AI platforms. · Collaborate with product, engineering, and customer stakeholders to ensure successful deployment and adoption of AI solutions. · Build proof-of-concepts, prototypes, and production-ready implementations tailored to customer requirements. · Troubleshoot complex technical issues and provide recommendations for performance, scalability, and security improvements. · Act as a trusted technical advisor throughout the solution lifecycle. Qualifications of the Forward Deployed Engineer: · 8+ years of experience in software engineering, solutions engineering, machine learning engineering, or a related field. · Hands-on experience implementing AI applications, including Retrieval-Augmented Generation (RAG) solutions. · Strong understanding of enterprise data connectivity, APIs, databases, and integration technologies. · Experience working with modern AI/LLM platforms and related development frameworks. · Proficiency in one or more programming languages such as Python, Java, or TypeScript. · Strong customer-facing communication skills with the ability to translate technical concepts into business outcomes. · Experience working in fast-paced, highly collaborative environments. Compensation for the Forward Deployed Engineer includes: · Salary: $225,000 - $230,000/Annually · Comprehensive benefits package including medical, dental, vision, 401(k), and PTO · Must be eligible to obtain a secret clearance · Remote work flexibility This job opens for applications on 08/27/2026. Applications for this job will be accepted for at least 30 days from the posting date. #LI-GS1 #LI-REMOTE