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Machine Learning Engineer Jobs in Morgantown, WV

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Machine Learning Engineer information

See Morgantown, WV salary details

$32.4K

$132.5K

$199.1K

How much do machine learning engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for machine learning engineer in Morgantown, WV is $132,490.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,400.00 and $159,500.00 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.

More about Machine Learning Engineer jobs

What cities near Morgantown, WV are hiring for Machine Learning Engineer jobs?

Cities near Morgantown, WV with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Morgantown, WV as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $132,490 per year, or $63.7 per hour.

Engineer I/Engineer II/Sr Engineer/Sr Engineer II

Berkshire Hathaway Energy

Bridgeport, WV • On-site

$77K - $137K/yr

Full-time

Re-posted 8 days ago

Berkshire Hathaway Energy rating

6.5

Company rating: 6.5 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description


BHE GT&S has an exciting opportunity as an Engineer I, Engineer II, Sr Engineer, or Sr Engineer II at our White Oaks General Office located in Bridgeport, WV.
Responsibilities
  • Lead and support the development and execution of capital projects for interstate natural gas transmission facilities, including pipeline, compressor station, and measurement and regulation projects, liquified natural gas (LNG), from concept through commissioning and closeout.
  • Develop project scopes, schedules, cost estimates, funding requests, and execution plans to support successful project delivery.
  • Provide project management and engineering support throughout project development, design, procurement, construction, startup, and closeout activities.
  • Coordinate with internal stakeholders, engineering consultants, contractors, and vendors to achieve project objectives and ensure safe, reliable, and cost-effective project execution.
  • Prepare requisitions for engineering services, equipment, materials, and construction services; support bid evaluations and contract administration.
  • Perform and/or review engineering analyses, calculations, designs, technical specifications, and cost studies required to support project decisions.
  • Monitor project scope, budget, schedule, risks, and performance, and develop recommendations to support management decision-making.
  • Ensure compliance with applicable regulations, industry codes, company standards, safety requirements, and project documentation requirements, including maintenance of accurate project records and as-built information.

Qualifications
Engineer I:
0-2 years of relevant engineering experience
Engineer II:
1-3+ years of relevant engineering experience
Sr Engineer:
5+ years of relevant engineering experience.
Sr Engineer II
8+ years of relevant engineering experience. PE Required.
All Levels:
Effective oral and written communication skills.
Strong technical writing skills, including the ability to communicate a basic understanding of technical information to non-technical people.
Effective analytical and problem-solving skills.
Project management skills.
Ability to prioritize and handle multiple tasks and projects concurrently.
Critical thinking and decision-making skills.
Education
Bachelor in Engineering from an accredited college or university required.
Employees must be able to perform the essential functions of the position, with or without an accommodation.
All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law.
Position descriptions are developed as guides for the employees of Berkshire Hathaway Energy. The management team of Berkshire Hathaway Energy reserves the right to modify job responsibilities and position requirements to meet the corporate business goals and needs.
About Us
BHE GT&S is an interstate natural gas transmission and storage company that gives large customers more options in moving gas safely, reliably and efficiently. Headquartered in Richmond, Virginia, with operations in 10 states, BHE GT&S employees take pride in our work and are committed to innovative and sustainable natural gas energy solutions. Through our liquefied natural gas facilities, multi-state pipeline systems, and storage operations we support a number of large customers, including major utilities, power plants, marine transportation and heavy-duty trucking, along with manufacturing. Our employees are integral to our success and work hard to exceed customer expectations. We provide fulfilling employment opportunities, are committed to attracting and retaining the best employees, and focus on providing a safe and inclusive work environment.
About the Team
BHE GT&S is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law. Employees must be able to perform the essential functions of the position, with or without an accommodation.

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