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Remote Full Stack Machine Learning Engineer Jobs in Wheeling, WV

ICF

Data Engineer (Remote)

Glen Dale, WV · Remote

$96K - $116K/yr

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 ...

All JobsFull Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer Jobs in Wheeling, WV

Remote Full Stack Machine Learning Engineer information

See Wheeling, WV salary details

$44.3K

$134.3K

$189.8K

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

As of Jul 8, 2026, the average yearly pay for remote full stack machine learning engineer in Wheeling, WV is $134,258.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,600.00 and $157,400.00 per year, depending on experience, location, and employer.

What is a Remote Full Stack Machine Learning Engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are some common challenges faced by remote Full Stack Machine Learning Engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

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

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

What are the key skills and qualifications needed to thrive as a Remote Full Stack Machine Learning Engineer, and why are they important?

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.
What cities near Wheeling, WV are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities near Wheeling, WV with the most Remote Full Stack Machine Learning Engineer job openings:
Remote Full Stack Machine Learning Engineer jobs near you
Data Engineer (Remote)

Data Engineer (Remote)

ICF

Glen Dale, WV • Remote

$96K - $116K/yr

Full-time

Posted 29 days ago

Job description

Job Summary
This role supports the large-scale modernization of legacy systems by leading the migration of over 10TB 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)

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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