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Hourly Remote Machine Learning Engineer Jobs in Charleston, WV

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 ...

Mars Men

VP, Analytics & Data

Charleston, WV · Remote

$141K - $181K/yr

Experience applying AI, machine learning, or automation to analytics, forecasting, reporting, or ... Remote Work Environment - Our team is remote, offering full flexibility to work from home

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

$128K - $176K/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

$143K - $197K/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 ...

Bellese

Principal Engineer

Charleston, WV · Remote

$170K - $206K/yr

Remote First, Remote Only Culture * Four weeks paid time off yearly (prorated based on start date ... Collaborative, learning environment * Medical, dental, and company-paid vision insurance * Optional ...

Prosper

Sr. Credit Risk Analyst

Charleston, WV · Remote

$129K - $161K/yr

... data, machine learning models and advanced analytics tools to optimize risk decisions * Bring ... Partner with Data Science, Product, Engineering and other partner teams to implement credit and ...

HHAeXchange

Sr. Product Manager - Data Insights

Charleston, WV · Remote

$129K - $170K/yr

Identify opportunities to leverage machine learning and AI to automate insight generation and ... Work with engineering and architecture teams to balance new feature development with technical debt ...

Drivetrain

Frontend Engineer

Charleston, WV · Remote

Drivetrain is a remote-first company headquartered in the San Francisco Bay Area. Founded in 2021 ... We follow a product-led growth strategy, continuously learning from our customers and collaborating ...

Cisco

Account Executive - Splunk (Remote)

Charleston, WV · On-site +1

$269K - $360K/yr

Become known as a thought-leader in machine learning and predictive analytics. * Expand ... DevOps, security, business applications, and/or analytics. Subscription, SaaS, or Cloud software ...

Drivetrain

Backend Engineer

Charleston, WV · Remote

Drivetrain is a remote-first company headquartered in the San Francisco Bay Area. Founded in 2021 ... We follow a product-led growth strategy, continuously learning from our customers and collaborating ...

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All JobsHourly Machine Learning Engineer JobsHourly Remote Machine Learning Engineer JobsHourly Remote Machine Learning Engineer Jobs in Charleston, WV

Hourly Remote Machine Learning Engineer information

See Charleston, WV salary details

$24.8K

$41.4K

$85.5K

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

As of Aug 19, 2026, the average yearly pay for hourly remote machine learning engineer in Charleston, WV is $41,386.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

What does an hourly remote machine learning engineer do?

An Hourly Remote Machine Learning Engineer is a professional who develops and implements machine learning models and algorithms for clients or employers on an hourly contract basis, all while working from a remote location. Their responsibilities typically include data preprocessing, model selection, training, testing, and deployment. They collaborate with teams via online tools, manage their own schedules, and deliver results according to project requirements. This role allows for flexibility and the opportunity to work on diverse projects across different industries.

What are some common challenges faced by hourly remote machine learning engineers, and how can they be addressed?

Hourly remote machine learning engineers often encounter challenges such as managing time effectively across multiple projects, ensuring clear communication with distributed teams, and accessing necessary data or computing resources remotely. Building strong routines for regular check-ins and using collaborative tools can help maintain alignment with project goals. Additionally, proactively clarifying expectations and deliverables with clients or team leads can minimize misunderstandings and improve productivity in a remote, hourly environment.

What are the key skills and qualifications needed to thrive as an hourly remote machine learning engineer, and why are they important?

To thrive as an Hourly Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and experience with data preprocessing, typically supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, cloud platforms (e.g., AWS, GCP), and version control systems like Git is essential. Excellent time management, self-motivation, and clear communication skills help you collaborate effectively across distributed teams and manage project-based work. These skills and qualities are vital for delivering high-quality results independently, meeting deadlines, and adapting to the dynamic needs of remote projects.

What are popular job titles related to Hourly Remote Machine Learning Engineer jobs in Charleston, WV?

For Hourly Remote Machine Learning Engineer jobs in Charleston, WV, the most frequently searched job titles are:

What cities near Charleston, WV are hiring for Hourly Remote Machine Learning Engineer jobs?

Cities near Charleston, WV with the most Hourly Remote Machine Learning Engineer job openings:

Hourly Remote Machine Learning Engineer jobs near you
Infographic showing various Hourly Remote Machine Learning Engineer job openings in Charleston, WV as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $41,386 per year, or $19.9 per hour.

Senior Quantitative Analyst - Mortgage Operations

AmeriSave Mortgage Corp.

Charleston, WV • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago

Job description

AmeriSave Mortgage has set the standard in online mortgage lending with over $130 billion in funded loan volume. As one of the top-rated, largest privately-owned online mortgage lenders in the nation, our mission is to deliver beneficial, responsible home lending solutions with unwavering integrity, dedication and excellence. We leverage cutting-edge technology and data-driven strategies to provide exceptional service to our customers.
 
Our employees are the driving force behind our success. We believe in the power of a dynamic and talented workforce and creating an environment where your contributions are not just recognized, they’re celebrated. Your success is our success, and we are seeking skilled professionals who are ready to bring their A-game, exceed benchmarks and enhance the overall excellence of AmeriSave, while also growing and advancing their careers.
At AmeriSave, we're one team with one shared dream - to be the best.  Let’s redefine excellence together!
What We’re Looking For:
We are seeking a Quantitative Analyst to join the Enterprise Intelligence team. This fully remote role will focus on developing and maintaining sophisticated quantitative models and conducting deep analysis of business metrics to uncover deficiencies and opportunities that drive revenue and profit.
This is a fast-paced, high-ownership environment where ideas move quickly from concept to production. You will work on projects that are not only technically challenging but also highly visible and business-critical, delivering tangible impact across the organization. Analysts are empowered to take initiative, think creatively, and solve hard problems—resulting in deeply rewarding and high-leverage contributions that drive revenue and profit for the company.
What You’ll Do: 
  • Design and Develop Quantitative Models: Build advanced statistical and quantitative models to support forecasting, pricing optimization, and risk assessment. Ensure models are efficient, transparent, and suitable for deployment in production environments.
  • Analyze Business Metrics & Identify Opportunities: Rigorously analyze operational and financial metrics to detect process deficiencies, performance gaps, and new opportunities to improve revenue and profitability. Develop actionable recommendations and partner with business leaders to prioritize and implement improvements.
  • Data-Driven Performance Measurement: Create and maintain frameworks for tracking and analyzing business performance across the mortgage lifecycle. Develop metrics, dashboards, and automated reports that enable stakeholders to monitor progress and act on insights.
  • SQL-Based Analytics Solutions: Author and optimize complex T-SQL code to extract, transform, and analyze large volumes of production data. Develop stored procedures and workflows that operationalize model outputs and support business monitoring.
  • Python Modeling and Automation: Write Python scripts to perform statistical analysis, automate data pipelines, and integrate machine learning workflows. Leverage Python for data preparation, model training, and result generation.
  • Model Validation and Monitoring: Rigorously test, validate, and monitor model performance over time. Develop processes to recalibrate or enhance models as needed to maintain accuracy and business alignment.
What You’ll Need:
  • Quantitative Modeling Expertise: 5+ years of experience developing statistical, econometric, or machine learning models in a business environment.
  • Advanced SQL Skills: Advanced T-SQL queries, stored procedures, and data transformations in Microsoft SQL Server.
  • Python Proficiency: Strong experience with Python for data analysis, statistical modeling, and process automation.
  • Analytical Problem Solving: Ability to independently translate complex business problems into quantitative solutions. Skilled at designing experiments, validating hypotheses, and communicating findings clearly.
  • Business Acumen: Experience evaluating business metrics and KPIs to identify revenue and profit improvement opportunities, operational inefficiencies, and performance trends.
  • College degree preferred
 High-speed internet required for remote work, Cable or Fiber ONLY with the ability to connect via Ethernet. Minimum speeds: 70/30 Mbps (basic), 200-300/35-70 Mbps (shared), 500-1,000/100+ Mbps (heavy use).
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**Please note that the compensation and benefit information that follows is a good faith estimate for this position only and is provided pursuant to applicable state and local laws on pay transparency. It is estimated based on what a successful applicant in the relevant state might be paid. **  
  
Compensation: 
Annual compensation for this position generally ranges from $130,000 - $150,000. 
 
Benefits: 
  
·         401(k) 
·         Dental insurance 
·         Disability insurance 
·         Employee discounts 
·         Health insurance 
·         Life insurance 
·         Paid time off 
·         12 paid holidays per year 
·         Paid training 
·         Referral program 
·         Vision insurance 
  
Supplemental pay types: 
  
·         Referral bonuses 
  
AmeriSave is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
 
California Consumer Privacy Act Disclosure Acknowledgment 
Employment Applicants, New Hires, and Employees Residing in California 
  
AmeriSave Mortgage Corporation’s Privacy Policy Statement (“Policy”) can be reviewed here: www.amerisave.com/privacy-policy 
  
AmeriSave Mortgage Corporation’s California Consumer Privacy Act (“CCPA”) Recruitment Disclosure can be reviewed here: https://www.amerisave.com/ccpa-recruitment-disclosure/ 
  
When AmeriSave’s Human Resources Department makes future requests for personal information, the same Policy is applicable. By applying, you understand this acknowledgment covers current and future personal information requests. You also acknowledge the business purpose of the personal information collected and that future requests may occur while applying for a position at AmeriSave and/or during employment, if applicable.