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Machine Learning Engineer Jobs in Greenville, SC

This role collaborates across manufacturing, engineering, IT, automation, and business teams to ... Knowledge of AI, machine learning, predictive analytics, industrial edge computing, and intelligent ...

... machine learning models for forecasting and scenario planning; build and maintain Python-based data pipelines; track project execution through P6 and other project systems; reverse-engineer existing ...

Senior Software Engineer

Greenville, SC · On-site

$115K - $151K/yr

And we're hiring engineers to help us bring case intelligence to more departments. The Role We're ... Experience with Python, machine learning (ML), ML Ops * Experience building AI-powered systems.

Senior Software Engineer

Greenville, SC · On-site

$115K - $151K/yr

And we're hiring engineers to help us bring case intelligence to more departments. The Role We're ... Experience with Python, machine learning (ML), ML Ops * Experience building AI-powered systems.

Senior Software Engineer

Greenville, SC · On-site

$115K - $151K/yr

And we're hiring engineers to help us bring case intelligence to more departments. The Role We're ... Experience with Python, machine learning (ML), ML Ops * Experience building AI-powered systems.

Senior Software Engineer

Greenville, SC

$115K - $151K/yr

And we're hiring engineers to help us bring case intelligence to more departments. The Role We're ... Experience with Python, machine learning (ML), ML Ops * Experience building AI-powered systems.

Senior Software Engineer

Greenville, SC · On-site

$107K - $142K/yr

And we're hiring engineers to help us bring case intelligence to more departments. The Role We're ... Experience with Python, machine learning (ML), ML Ops * Experience building AI‑powered systems.

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

... AI, machine learning, and advanced data analytics to support next-level solutions. You'll ... Bachelor's or equivalent degree in Electrical Engineering * Proficient in Electrical power system ...

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Controls Engineer

Fountain Inn, SC · On-site

$74K - $96K/yr

The Controls Engineer/PLC is responsible for programming production facilities machines; applies ... learning, mentorship, and volunteerism. Our industry-leading team is looking to recruit highly ...

Controls Engineer

Fountain Inn, SC · On-site

$74K - $96K/yr

The Controls Engineer/PLC is responsible for programming production facilities machines; applies ... learning, mentorship, and volunteerism. Our industry-leading team is looking to recruit highly ...

Showing results 21-40

Machine Learning Engineer information

See Greenville, SC salary details

$29.6K

$121.1K

$181.9K

How much do machine learning engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for machine learning engineer in Greenville, SC is $121,080.00, 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 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 job categories do people searching Machine Learning Engineer jobs in Greenville, SC look for?

The top searched job categories for Machine Learning Engineer jobs in Greenville, SC are:

What cities near Greenville, SC are hiring for Machine Learning Engineer jobs?

Cities near Greenville, SC with the most Machine Learning Engineer job openings:

Infographic showing various Machine Learning Engineer job openings in Greenville, SC as of September 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $121,080 per year, or $58.2 per hour.

Digital Transformation Expert

Roebuck, SC • On-site

Siemens
Machinery Manufacturing • 10K+ employees

Full-time

Posted 6 days ago


Siemens rating

7.7

Company rating: 7.7 out of 10

Based on 100 frontline employees who took The Breakroom Quiz


Job description

Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. Improving how we live, work, and move today and for the next generation! We know that the only way a business thrives is if our people are thriving. That's why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you?
Transform the everyday with us!
The Electrical Products (EP) Business Unit offers a full range of low-voltage power distribution and control products that deliver safe, reliable, and efficient electrical solutions across residential, commercial, and industrial markets.
We are looking for a Digital Transformation Expert to join our team. This position will be based at our Roebuck, SC location.
The Digital Transformation Expert drives digital transformation within manufacturing operations by identifying, implementing, and supporting technology solutions that improve productivity, quality, safety, and cost efficiency. This role collaborates across manufacturing, engineering, IT, automation, and business teams to develop innovative solutions leveraging automation, digitalization, data analytics, artificial intelligence, industrial networks, and manufacturing systems.
You'll make an impact by:
  • Manufacturing Technology & Digitalization
    • Lead manufacturing technology and Industry 4.0 initiatives by identifying automation opportunities, eliminating inefficiencies, and designing, implementing, and supporting digital solutions for production, quality, maintenance, logistics, administrative functions, MES, shop floor applications, and industrial software platforms.
  • Systems Development & Integration
    • Develop and deploy applications using approved platforms while integrating ERP, MES, SCADA, IoT, databases, and cloud systems to ensure reliable data flow and collaborate with vendors, developers, and stakeholders to deliver effective solutions.
  • Data Analytics & AI
    • Create dashboards, KPIs, and reports; analyze production, quality, inventory, and workforce data to identify improvement opportunities; support AI, machine learning, predictive analytics, and intelligent automation initiatives; and promote data-driven decision-making across manufacturing operations.
  • Project Management
    • Manage technology projects from concept through implementation by defining scope, timelines, budgets, deliverables, and success metrics; coordinating cross-functional teams; and ensuring alignment with business objectives and company standards.
  • Operational Support
    • Provide technical support for manufacturing technologies and applications by troubleshooting system issues, coordinating corrective actions, developing procedures and training materials, and training end users to support successful technology adoption.
  • Continuous Improvement
    • Drive productivity, quality, cost, and process improvements through Lean Manufacturing and continuous improvement initiatives, benchmarking industry best practices and emerging technologies, and recommending innovative solutions to maintain competitive manufacturing operations.

You'll win us over by having the following qualifications:
Basic Qualifications:
  • Bachelor's degree in manufacturing engineering, Industrial Engineering, Mechanical Engineering, Electrical Engineering, Computer Engineering, Information Technology, Computer Science, Engineering Technology, or a related technical discipline.
  • 3+ years of experience in manufacturing, engineering, automation, industrial IT, software development, or digital transformation.
  • Experience supporting manufacturing environments and implementing technology solutions from concept through deployment.
  • Experience with manufacturing systems, including MES, ERP, SCADA, or similar platforms, as well as industrial automation, industrial networking, and manufacturing technologies.
  • Experience with databases, SQL, API integrations, cloud-based solutions, and supporting software development, application deployment, or system integration initiatives.
  • Ability to analyze data and create reports, dashboards, and visualizations using Power BI or similar tools.
  • Proficiency with Microsoft Office Suite, including Excel, Word, PowerPoint, and Outlook.
  • Applicants must be legally authorized for employment in the United States without the need for current or future employer-sponsored work authorization.

Preferred Qualifications:
  • Experience with Mendix, low-code development platforms, or software application development.
  • Proficiency in programming languages such as Python, C#, JavaScript, or equivalent platforms.
  • Experience working with Snowflake, cloud data platforms, AWS, Azure, or other cloud-based technologies.
  • Knowledge of AI, machine learning, predictive analytics, industrial edge computing, and intelligent automation solutions.
  • Familiarity with industrial communication protocols, including OPC-UA, MQTT, Modbus, or similar technologies.
  • Experience with Microsoft Power Platform tools and Agile project management methodologies.

About Siemens:
We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids to sustainable transportation as well as advanced healthcare, we create technology with purpose adding real value for customers. Learn more about Siemens here.
Our Commitment to Equity and Inclusion in our Diverse Global Workforce:
We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us.
#MFGRoebuck #SiemensMFGcareer #LI-HH2
You'll Benefit From
Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html
The pay range for this position is $68,830 - $117,994 annually. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location.
Equal Employment Opportunity Statement
Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
EEO is the Law
Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law.
Reasonable Accommodations
If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form. If you're unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status.
Pay Transparency
Siemens follows Pay Transparency laws.
Application Deadline
This role will be posted for a minimum of five (5) days from the original posting date. The posting timeline may change based on applicant volume to ensure we attract and consider a strong and representative candidate pool.
California Privacy Notice
California residents have the right to receive additional notices about their personal information. To learn more, click here.
Criminal History
Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.

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