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Machine Learning Engineer Jobs in Charleston, WV

SQUIRE

Director, Data Engineering

Charleston, WV · Remote

$200K - $230K/yr

You'll own SQUIRE's long-term data architecture and lead a growing team spanning Data Engineering, Machine Learning Engineering, and Analytics. Success in this role means building a data foundation ...

Forhyre

Tech Lead - Conversational AI

Charleston, WV · On-site

Strong programming skills in languages such as Python, Java, or JavaScript. * In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques.

Mendix

Senior Solutions Consultant, BFSI

Charleston, WV · Remote

$160K - $250K/yr

Siemens Intelligence Center X (ICX) combines enterprise knowledge graphs, AI and machine learning ... engineering, or solution architecture supporting enterprise knowledge graph, data and AI/ML, or low ...

Cengage Learning

Software Engineer

Charleston, WV · On-site

We believe in the power and joy of learning At Cengage, our employees have a direct impact in ... As a Software Engineer, you will deliver a world-class experience for learners and instructors on ...

Bjak

VP of Engineering, Applications

Charleston, WV · Remote

$184K - $237K/yr

This role is a senior engineering leader who stays close to the product, makes hard technical ... Partner closely with Machine Learning leadership to translate model capability into shippable ...

Lyra Health

Senior Software Engineer

Charleston, WV · Remote

$143K - $197K/yr

Understanding of basic machine learning principles and how to support inference of ML models in ... Engineer, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for ...

Lyra Health

Senior AI/ML Backend Engineer

Charleston, WV · Remote

$161K - $221K/yr

Be part of a team working on building our machine learning and generative AI backend services that ... Engineer, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for ...

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Showing results 41-60

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Charleston, WV

Machine Learning Engineer information

See Charleston, WV salary details

$30.6K

$125.1K

$188.1K

How much do machine learning engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for machine learning engineer in Charleston, WV is $125,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,600.00 and $150,600.00 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 are the most commonly searched types of Machine Learning Engineer jobs in Charleston, WV? The most popular types of Machine Learning Engineer jobs in Charleston, WV are:
What are popular job titles related to Machine Learning Engineer jobs in Charleston, WV? For Machine Learning Engineer jobs in Charleston, WV, the most frequently searched job titles are:
What cities near Charleston, WV are hiring for Machine Learning Engineer jobs? Cities near Charleston, WV with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Charleston, WV as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $125,147 per year, or $60.2 per hour.

Bioinformatician - Health Services & Outcomes Research - Chesterfield Bldg 4-Center for Learning &

CAMC Health System

Charleston, WV • On-site

Other

Re-posted 7 days ago

Job description

Job Summary
The Bioinformatician will provide high level professional and technical skills in support of systems development, analyzing large datasets, using computational tools to solve problems in healthcare, clinical care, or research with responsibilities including algorithm design, data management, computational programing, statistical analysis, and change management
Responsibilities
• Designing and applying algorithms and databases
• Designing and implementing tools to evaluate data and patient care
• Using statistical methods
• Programming statistical models
• Managing and storing complex data
• Managing data generated by patient care
• Being knowledgeable in medical coding
• Maintaining information security
• Ensuring patient data is integrated and accessible
• Analyzing large data sets
• Analyzing data to inform facility level decisions
• Analyzing data to improve patient care
• Analyzing data to reduce costs
• Communicating with healthcare professionals to improve data generation
• Interpreting results and presenting findings to researchers and clinicians
Knowledge, Skills & Abilities
Patient Group Knowledge (Only applies to positions with direct patient contact)
The employee must possess/obtain (by the end of the orientation period) and demonstrate the knowledge and skills necessary to provide developmentally appropriate assessment, treatment or care as defined by the department's identified patient ages. Specifically the employee must be able to demonstrate competency in: 1) ability to obtain and interpret information in terms of patient needs; 2) knowledge of growth and development; and 3) understanding of the range of treatment needed by the patients.
Competency Statement
Must demonstrate competency through an initial orientation and ongoing competency validation to independently perform tasks and additional duties as specified in the job description and the unit/department specific competency checklist.
Common Duties and Responsibilities
(Essential duties common to all positions)
1. Maintain and document all applicable required education.
2. Demonstrate positive customer service and co-worker relations.
3. Comply with the company's attendance policy.
4. Participate in the continuous, quality improvement activities of the department and institution.
5. Perform work in a cost effective manner.
6. Perform work in accordance with all departmental pay practices and scheduling policies, including but not limited to, overtime, various shift work, and on-call situations.
7. Perform work in alignment with the overall mission and strategic plan of the organization.
8. Follow organizational and departmental policies and procedures, as applicable.
9. Perform related duties as assigned.
Education
• Master's Degree (Required)
Minimum Requirements: A master's level degree in Informatics, Computer Science, or a related discipline. Equivalent knowledge and skills obtained through a combination of education, training, and experience may meet this requirement.
Preferred: A doctorate in informatics with background in computer science, including writing code for data analysis, statistics, machine learning, data processing and visualization, and competency in verbal and written communication.
Credentials
Work Schedule: Days
Status: Full Time Regular 1.0
Location: Chesterfield Bldg 4-Center for Learning & Research
Location of Job: US:WV:Charleston
Talent Acquisition Specialist: Tamara B. Young tammy.young@vandaliahealth.org

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