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Remote Machine Learning Jobs in West Virginia (NOW HIRING)

GDIT

NCIS Software Developer | Active Secret clearance

WV · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote (Eastern & Central US time zones preferred) * Position Availability: Position is pending ... AI-powered career tool that identifies career steps and learning opportunities * Support: An ...

GDIT

Healthcare Claims Data Analyst

WV · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is a remote role. Candidates must reside in the United States. HOW A HEALTHCARE CLAIMS DATA ANALYST WILL MAKE AN IMPACT: * Working with a multi-disciplinary team of Data Scientists, Business ...

LTS

Senior Agentic AI Software Engineer

Charleston, WV · On-site +1

$113K - $149K/yr

United States - Remote Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a Senior Agentic AI Software Engineer to build the intelligence behind the platform--the autonomous ...

Relevate Health

$120K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote working if outside 40 miles of a Relevate Health Office * Travel may apply based on position * Hour may vary based on position and location of client Relevate Health is an Equal Opportunity ...

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

Remote Machine Learning information

See West Virginia salary details

$19.7K

$33K

$68.1K

How much do remote machine learning jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote machine learning in West Virginia is $32,967.00, according to ZipRecruiter salary data. Most workers in this role earn between $25,200.00 and $35,600.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

More about Remote Machine Learning jobs

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

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

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

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

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

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

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

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

Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in West Virginia as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $32,967 per year, or $15.8 per hour.

Data Engineer (Remote)

ICF

Glen Dale, WV • Remote

$96K - $116K/yr

Full-time

Re-posted 9 days ago

Job description

This role supports the large-scale modernization of legacy systems by leading the migration of documentation and records into a cloud-based environment. The position focuses on transforming document-heavy workflows into structured, digital processes, while enabling seamless data integration across systems using MuleSoft APIs. The work directly supports enhanced analytics, reporting, and operational efficiency for a mission-critical enterprise platform.


Responsibilities

  • Lead end-to-end data migration from legacy systems to cloud platforms, including data mapping, transformation, and validation (Salesforce-centric).

  • Analyze and convert unstructured, document-heavy data into structured, analytics-ready formats using Document AI.

  • Implement data quality processes (cleansing, deduplication, reconciliation) to ensure accuracy and completeness post-migration.

  • Support phased migration and system cutover with minimal operational disruption.

  • Design, build, and maintain MuleSoft integrations, including API development for real-time and batch data exchange.

  • Apply data transformation logic (e.g., DataWeave) and troubleshoot integration/data flow issues across systems.

  • Contribute to Salesforce Data 360 implementation, including data harmonization, identity resolution, and unified profiles.

  • Ensure proper data ingestion, lineage, metadata management, and traceability across the ecosystem.

  • Ensure compliance with data governance, privacy, and security requirements (e.g., PII).

  • Collaborate in Agile teams; support testing, documentation, and audit readiness across migration and integration efforts.


Required Qualifications

  • U.S. Citizenship required due to federal contract requirements

  • Ability to obtain and maintain a Public Trust clearance

  • Candidate must have lived in the U.S. for three (3) full years out of the last five (5) years

  • 6+ years of experience in data engineering, data migration, or data integration roles

  • Proven experience executing large-scale data migration efforts, including legacy system transformation

  • 2+ years hands-on experience with Salesforce data migrations, including data modeling, data loading (e.g., Data Loader, APIs), and managing relational datasets

  • 2+ years' experience implementing data quality, validation, and reconciliation processes during migration efforts

Preferred Qualifications

  • Current or recent Public Trust or active Secret clearance

  • Experience supporting DHS or other federal agencies

  • 1+ year Experience using Informatica (e.g., PowerCenter, IICS) for ETL/ELT development, data mapping, and pipeline orchestration

  • 2+ years proficiency in SQL and relational data modeling concepts

  • Experience working with both structured and unstructured data, including document-based records

  • 1+ year Experience supporting or developing MuleSoft integrations, including API development, data transformations, and system-to-system data flows

  • 1+ years experience with MuleSoft Anypoint Platform, including DataWeave and API-led connectivity patterns

  • Familiarity with cloud-based SaaS platforms and distributed data architectures

  • Familiarity with metadata management, data lineage, and audit frameworks

  • Experience working in federal or highly regulated environments

  • Experience supporting Agile delivery teams and cross-functional collaboration

  • Experience supporting large-scale, document-centric system migrations

  • Familiarity with Docusign eSignature and Contract Lifecycle Management (CLM) products a plus

  • Experience with Salesforce Data 360 (Data Cloud), including data harmonization and identity resolution

  • Experience with Salesforce Document AI / Intelligent Document Processing (IDP) tools for extracting structured data from documents

  • Understanding of data governance, security, and compliance requirements, particularly for sensitive data (e.g., PII)

#ICFcleared


Bot and Third-Party Applications

Please note that this application must be submitted directly by the applicant for consideration.Failure to do so may result in the application being excluded for consideration.Applicants needing an accommodation for disability or religious purposes in connection with the application process should contactCandidateaccommodation@icf.comfor assistance.

Working at ICF

ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer.Together, our employees are empowered to share theirexpertiseand collaborate with others to achieve personal and professional goals. For more information, please read ourEEOpolicy.

We will consider for employment qualified applicants with arrest and conviction records.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals withsincerely heldreligious beliefs, in all phases of the application and employment process. To requestan accommodation,please emailCandidateaccommodation@icf.comand we will be happy toassist. All information you provide will be kept confidential and will be used only to the extentrequiredto provide needed reasonable accommodations.

Read more aboutworkplacediscriminationrightsor our benefit offerings which are included in theTransparency in (Benefits) CoverageAct.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate orassistwith responses during interviews (whether in-person or virtual) is notpermitted. This policy is in place tomaintainthe integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodationthat involves the use of AI. Ifsuch anaccommodation is needed, candidates are instructed to contact us in advance atcandidateaccommodation@icf.com. Weare dedicated to providingthe necessary support to ensure that all candidates have an equal opportunity to succeed.


Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

$98,614.00 - $167,644.00Nationwide Remote Office (US99)

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