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Remote Machine Learning Engineer Jobs in West Virginia

SailPoint

Forward Deployed Engineer

Charleston, WV · Remote

By harnessing the power of AI and machine learning, SailPoint automates and streamlines the ... Participate in onsite and remote foundationalimplementation engagements * Educatecustomers on high ...

SailPoint

Forward Deployed Engineer

Charleston, WV · Remote

By harnessing the power of AI and machine learning, SailPoint automates and streamlines the ... Participate in onsite and remote foundationalimplementation engagements * Educatecustomers on high ...

SailPoint

Forward Deployed Engineer

Charleston, WV · Remote

By harnessing the power of AI and machine learning, SailPoint automates and streamlines the ... Participate in onsite and remote foundationalimplementation engagements * Educatecustomers on high ...

GDIT

AI/ML Delivery Engineer

WV · On-site +1

Deliver AI and machine learning solutions across a variety of domains, including natural language ... Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our ...

SailPoint

Senior Forward Deployed Engineer

Charleston, WV · On-site +1

$96K - $132K/yr

By harnessing the power of AI and machine learning, SailPoint automates and streamlines the ... Participate in onsite and remote foundationalimplementation engagements * Educatecustomers on high ...

SailPoint

Forward Deployed Engineer

Charleston, WV · Remote

By harnessing the power of AI and machine learning, SailPoint automates and streamlines the ... Participate in onsite and remote foundationalimplementation engagements * Educatecustomers on high ...

GDIT

Sr. Healthcare Data Scientist (Medicare/Medicaid)

WV · On-site +1

$97K - $132K/yr

Agentic AI, Big Data, Generative AI, Machine Learning Methods, Python (Programming Language ... Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our ...

Coalition, Inc.

Senior Software Engineer, Underwriting

WV · On-site +1

$195K/yr

About the role The Senior Software Engineer on the Underwriting team designs and builds backend ... Implement and evolve systems that integrate with statistical models, and machine learning models to ...

GDIT

Data Scientist Principal

WV · On-site +1

$122K - $165K/yr

Skills: Artificial Intelligence (AI), Machine Learning Methods, Python (Programming Language ... Remote CLEARANCE: Ability to obtain a Public Trust: candidate must have lived in the United States ...

Siemens

$18 - $50/hr

... remote environment within the United States of America. * Intelligence, Software Engineering, Systems Engineering, or a related discipline. * Experience with Python, data analytics, machine learning ...

Siemens

$18 - $50/hr

... remote environment within the United States of America. * Intelligence, Software Engineering, Systems Engineering, or a related discipline. * Experience with Python, data analytics, machine learning ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in West Virginia

Remote Machine Learning Engineer information

See West Virginia salary details

$24.4K

$99.7K

$149.8K

How much do remote machine learning engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for remote machine learning engineer in West Virginia is $99,689.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,600.00 and $120,000.00 per year, depending on experience, location, and employer.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

What are the most commonly searched types of Machine Learning Engineer jobs in West Virginia?

The most popular types of Machine Learning Engineer jobs in West Virginia are:

What are popular job titles related to Remote Machine Learning Engineer jobs in West Virginia?

For Remote Machine Learning Engineer jobs in West Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Engineer jobs in West Virginia look for?

The top searched job categories for Remote Machine Learning Engineer jobs in West Virginia are:

What cities in West Virginia are hiring for Remote Machine Learning Engineer jobs?

Cities in West Virginia with the most Remote Machine Learning Engineer job openings:

Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in West Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $99,689 per year, or $47.9 per hour.

Generative AI Automation Engineer - Remote Job

Morgantown, WV • Remote

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Full-time

Re-posted 20 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply