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

GE Aerospace

Sr Data Visualization Engineer

Wilmington, NC · On-site

$106K - $128K/yr

Support machine connectivity and related shop-floor systems that enable operational data collection, reporting, and production visibility. * Assist with the sustainment and troubleshooting of ...

Varsity Tutors

Statics Tutor

Wilmington, NC · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Varsity Tutors

Statics and Dynamics Tutor

Wilmington, NC · Remote

$18 - $40/hr

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

GE Aerospace

Lead CMM Programmer

Wilmington, NC · On-site

This position is responsible for programming Coordinate Measuring Machines (CMMs) and analyzing ... Humility, respect for others, and a receptiveness to learning * Ability to mentor younger or less ...

Corning

Digital Engineer

Wilmington, NC

An ideal candidate will be capable of learning and implementing the latest vision, digital and ... PID control Machine vision experience including algorithm development, coding, and use of ...

Barclays

Analytics Assurance - AVP

Wilmington, NC · On-site

$140 - $190/hr

Utilize SQL and Oracle SQL programming to extract, load, and transform customer specific data ... machine learning/AI. * Through data-driven analysis, translate analytical findings into actionable ...

Pike Corporation

Engineer 3

Wilmington, NC

Provide engineering/technical expertise to solve more complex problems and provide leadership skills to manage work in a specific area of expertise, with minimal supervision. Incumbents are expected ...

Pike Corporation

Engineer 3

Wilmington, NC · On-site

Provide engineering/technical expertise to solve more complex problems and provide leadership skills to manage work in a specific area of expertise, with minimal supervision. Incumbents are expected ...

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Showing results 21-40

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

Machine Learning Engineer information

See Leland, NC salary details

$27.2K

$111.3K

$167.3K

How much do machine learning engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for machine learning engineer in Leland, NC is $111,302.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,700.00 and $134,000.00 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 cities near Leland, NC are hiring for Machine Learning Engineer jobs?

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

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Leland, NC as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $111,302 per year, or $53.5 per hour.

Sr Data Visualization Engineer

GE Aerospace

Wilmington, NC • On-site

$106K - $128K/yr

Full-time

Posted 5 days ago

GE Aerospace rating

8.9

Company rating: 8.9 out of 10

Based on 181 frontline employees who took The Breakroom Quiz

13th of 72 rated aerospace companies

Job description

Job Description Summary
The Sr Data Visualization Engineer will provide dedicated Digital Technology support for production data visibility, shop-floor connectivity, and site digital tools at the Wilmington location. This role is responsible for supporting and sustaining local systems that enable machine connectivity, operational data collection, production reporting, and issue resolution within a manufacturing environment.
The position will partner closely with site operations, manufacturing, engineering, and DT teams to troubleshoot technical issues, support local digital tools, improve access to production data, and maintain reliable connectivity between shop-floor systems and reporting solutions. This role will also be responsible for maintaining Wilmington's Historian database and ensuring all applicable shop-floor manufacturing machines connected through MTConnect are accurately integrated, current, and represented in the database.
This role is well suited for a candidate with strong IT support experience, technical troubleshooting capability, hardware and software support knowledge, and experience working directly with end users in a fast-paced operational environment.
Job Description
Essential Responsibilities
  • Provide on-site DT support for production data visibility and shop-floor digital systems at the Wilmington site.
  • Support machine connectivity and related shop-floor systems that enable operational data collection, reporting, and production visibility.
  • Assist with the sustainment and troubleshooting of MTConnect, OpsVision, OEE reporting, and related local production-data tools.
  • Maintain Wilmington's Historian database, ensuring all applicable shop-floor manufacturing machines connected through MTConnect are accurately integrated, validated, and kept current.
  • Support OEE reporting and local data-visibility tools used by operations and manufacturing teams.
  • Provide local UDC support, including issue tracking, troubleshooting, escalation, and coordination with broader DT teams.
  • Troubleshoot hardware, software, connectivity, and user-access issues impacting production-data visibility and shop-floor digital performance.
  • Support the setup, configuration, testing, and deployment of local devices, systems, and technical solutions used in the manufacturing environment.
  • Partner with operations, engineering, and site leadership to resolve day-to-day technical issues affecting production reporting, machine connectivity, and digital tool performance.
  • Monitor, identify, and help resolve system, connectivity, and device issues impacting shop-floor operations.
  • Support end users with issue resolution related to local digital tools, reporting access, and production visibility systems.
  • Maintain documentation, support procedures, inventories, and technical records related to site digital systems and supported applications.
  • Assist with continuous improvement efforts that enhance operational visibility, system reliability, and support responsiveness.
  • Coordinate with infrastructure, application, and DT support teams to resolve escalated issues and sustain site performance.

Qualifications / Requirements
  • Bachelor's degree from accredited university or college with minimum of 2 years of professional experience OR Associates degree with minimum of 5 years of professional experience OR High School Diploma with minimum of 7 years of professional experience
  • Note: Military experience is equivalent to professional experience
  • Eligibility Requirement:
  • Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job.
  • Experience troubleshooting hardware, software, connectivity, and end-user support issues in an operational environment.
  • Experience supporting technical systems, devices, applications, or infrastructure in a site-based support role.
  • Demonstrated ability to work independently and manage multiple priorities in a fast-paced environment.

Desired Characteristics
  • Minimum of 5 years of experience in Information Technology (IT), technical support, manufacturing systems support, digital technology, network support, endpoint support, or related technical roles.
  • Experience supporting site IT operations, deskside support, end-user computing, or manufacturing/shop-floor systems.
  • Familiarity with hardware deployment, network connectivity, operating systems, device support, and issue resolution.
  • Experience with help desk ticketing systems, hardware inventory management, and technical documentation.
  • Ability to troubleshoot at both the device and connectivity level, including coordination across multiple support teams.
  • Experience supporting digital tools used in operations, manufacturing, or production environments.
  • Familiarity with MTConnect, OpsVision, OEE reporting, Historian databases, or similar shop-floor and production-data systems.
  • Experience maintaining machine connectivity and ensuring accurate production-data integration between shop-floor assets and reporting platforms.
  • Strong customer support mindset with the ability to communicate effectively with employees, supervisors, and leadership.
  • Strong organizational, analytical, and problem-solving skills.
  • Experience supporting Microsoft environments, endpoint devices, remote support tools, and user-access management.
  • Ability to learn site-specific manufacturing applications and support their day-to-day use.

This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)).
Additional Information
GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Employees may also be subject to random and reasonable-suspicion drug and alcohol testing.
Relocation Assistance Provided: No

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