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Machine Learning Engineer Jobs in Charleston, WV

Forhyre

Prompt Engineers

Charleston, WV

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging ...

Thrivent Financial

Mgr, Engineering

Charleston, WV

The platform is built on Databricks for machine learning and data science and on AWS for production ... This leader will manage experienced engineers and specialists with significant autonomy, help ...

Surescripts

Principal AI Engineer

Charleston, WV · Hybrid

... of hands-on machine learning / AI engineering experience * Proven experience architecting and delivering solutions across multiple technical domains, such as APIs and microservices, systems ...

Bellese

Senior Data Scientist

Charleston, WV · Remote

$97K - $124K/yr

... other programming languages used for data science purposes * Ability to collaborate closely with business and technical leaders. * Ability to work with machine learning frameworks, such as ...

Basis

Software Engineer, Tools & Services

Charleston, WV · Remote

$90K - $134K/yr

Basis Technologies' innovative Engineering team designs and develops new features and integrations ... Our platform processes over 300 billion events per day and uses AI and machine learning to automate ...

Gopuff

Data Engineer

Charleston, WV · Remote

$118K - $148K/yr

As a Data Engineer, you will play a critical role in shaping Gopuff's modern data platform. You'll ... and machine learning * Contribute to the architecture and maintenance of the Data Platform ...

HHAeXchange

Principal Data Engineer

Charleston, WV · Remote

$155K - $184K/yr

This role will directly power advanced analytics, machine learning, and mission-critical business ... Promote engineering excellence and best practices in data engineering and developer experience ...

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Showing results 1-20

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 Jul 16, 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 engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

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 engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

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, 5% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $125,147 per year, or $60.2 per hour.
Director, Software Engineering

Director, Software Engineering

Cengage Learning

Charleston, WV • On-site, Remote

$234K/yr

Full-time

Re-posted 7 days ago

Job description

We believe in the power and joy of learning

At Cengage, our employees have a direct impact in helping students around the world discover the power and joy of learning. We are bonded by our shared purpose - driving innovation that helps millions of learners improve their lives and achieve their dreams through education.

Cengage's portfolio of businesses supports student choice by providing a range of pathways that help learners achieve their goals and lead a choice-filled life.

Our culture values inclusion, engagement, and discovery

Our business is driven by our strong culture, and we know that creating an inclusive workplace is absolutely essential to the success of our company and our learners, as well as our individual well-being. We recognize the value of diverse perspectives in everything we do, and strive to ensure employees of all levels and backgrounds feel empowered to voice their ideas and bring their authentic selves to work. We achieve these priorities through programs, benefits, and initiatives that are integrated into the fabric of how we work every day. To learn more, please see https://www.cengagegroup.com/about/inclusion-and-belonging/

What you'll do here:

As a Director of Software Engineering at Cengage, you will be responsible for the delivery of innovative, market leading platforms and products that continue to advance the education technology industry. Specifically, you will guide our Higher Education development teams in delivering trusted digital content that improves learning and research outcomes in the classroom, library, and beyond. Your role will be pivotal in shaping the AI-driven, high-performing remote software engineering teams.

Following the Product Operating Model (POM), you'll collaborate with product and design teams, making data-driven decisions that focus on improving customer outcomes through frequent stakeholder engagements and data-driven insights. If you are passionate about digital transformation and thrive in a dynamic, fast-paced environment, this opportunity is ideal for you!

Responsibilities

  • Work with multiple leaders, including the Digital leadership team and business partners, to craft a convincing technical strategy and roadmap(s) to achieve business unit goals.

  • Collaborate across functions to align on priorities for scaling and building our products globally.

  • Identify scalable products and deliver them to support our global customer base. You will incorporate new technologies and industry trends into the outcomes.

  • Partner with multi-functional leaders, through POM, to standardize and improve development, testing, and release processes, ensuring timely delivery of quality products.

  • Drive product and technology strategy reviews with Product Leaders and senior collaborators, leading strategic technological discussions.

  • Lead high-performing engineering teams, developing a pipeline of high-caliber talent and encouraging leaders to achieve priorities.

  • Cultivate a high-performance, transparent environment passionate about accountability and results.

  • Reinvent and optimize the SDLC using modern frameworks, principles, automation, and generative AI.

  • Champion a culture of continuous learning and professional development, offering team members opportunities to grow.

Skills you will need here:

  • 5+ years of leadership experience in developing technology strategies and driving innovation.

  • 10+ years of progressive software development experience.

  • Experience leading a global workforce of employees and contractors across different time zones.

  • Expertise in AWS (EC2, S3, Lambda, RDS, CloudFormation), cloud-native development (Kubernetes, Docker, microservices), and Infrastructure as Code (Terraform, AWS CDK).

  • Solid understanding of AI concepts, technologies and methods, including machine learning, Language, Reasoning & multimodal models, prompt & context engineering, developing and using skills & agent frameworks, RAG, and vector databases.

  • Hands-on experience integrating or experimenting with commercial and open-source GenAI technologies and toolkits (e.g., coding assistants, OpenAI, Hugging Face, LangChain).

  • Strong experience in modernizing monolithic architectures, implementing hybrid cloud strategies, and crafting APIs to bridge legacy systems with cloud-native platforms.

  • Proven ability to compose and build scalable, secure, high-availability enterprise systems using CI/CD pipelines and automated testing frameworks.

  • Skilled in agile methodologies (Scrum, Kanban, SAFe) and customer-centric product models to drive iterative development and rapid time-to-market.

  • Excellent verbal and written communication skills.

Preferred

  • Bachelor's degree in computer science or related field, or equivalent combination of education and recent, relevant work experience.

Cengage is committed to working with broad talent pools to attract and hire strong and most qualified individuals. Our job applicants are considered regardless of any classification protected by applicable federal, state, provincial or local laws.

Cengage is also committed to providing reasonable accommodations for qualified individuals with disabilities including during our job application process. If you are an applicant with a disability and require reasonable accommodation in our job application process, please contact us at accommodations.ta@cengage.com.

About Cengage

Cengage, a global education technology company serving millions of learners, provides affordable, quality digital products and services that equip students with the skills and competencies needed to be job ready. For more than 100 years, we have enabled the power and joy of learning with trusted, engaging content, and now, integrated digital platforms. We serve the higher education, workforce skills, secondary education, English language teaching and research markets worldwide. Through our scalable technology, including MindTap and Cengage Unlimited, we support all learners who seek to improve their lives and achieve their dreams through education.

Compensation

At Cengage Group, we take great pride in our commitment to providing a comprehensive and rewarding Total Rewards package designed to support and empower our employees. Click here to learn more about our Total Rewards Philosophy.

The full base pay range has been provided for this position. Individual base pay will vary based on work schedule, qualifications, experience, internal equity, and geographic location. Sales roles often incorporate a significant incentive compensation program beyond this base pay range.

In this position, you will be eligible to participate in the company'sdiscretionaryincentive bonus program. This position's bonus target amount, which is not guaranteed and is dependent on individual performance and overall company results among other factors, is provided below.

25% Annual: Individual Target$138,200.00 - $221,100.00 USD

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