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Hourly Remote Machine Learning Engineer Jobs in Belva, WV

Gopuff

Data Engineer

Charleston, WV · Remote

$118K - $148K/yr

... and machine learning * Contribute to the architecture and maintenance of the Data Platform ... Remote Base Salary Range : $118,000 - $148,000 Benefits Overview * Medical/Dental/Vision Insurance ...

SQUIRE

Director, Data Engineering

Charleston, WV · Remote

$200K - $230K/yr

... Machine Learning Engineering, and Analytics. Success in this role means building a data foundation ... Remote - US or Canada Type : Full-Time Compensation : Base ($200,000 - $230,000) + Bonus (15 ...

Lyra Health

Senior AI/ML Platform Engineer

Charleston, WV · Remote

$143K - $197K/yr

Build services that expose machine learning and AI based products * Deploy and manage various ... Engineer, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for ...

Lyra Health

Sr. ML Engineer (MLOps)

Charleston, WV · Remote

$143K - $197K/yr

Build services that expose machine learning and AI based products * Deploy and manage various ... Engineer (MLOps), you will be employed by Lyra Health, Inc. The anticipated annual base salary ...

Intersect

AI Solutions Architect

Charleston, WV · Remote

$64.50 - $85/hr

Working closely with software engineering, data infrastructure, Corporate Technology, and business ... Architect end-to-end, enterprise-scale AI and machine learning solutions on Google Cloud Platform ...

Bellese

Senior Data Scientist

Charleston, WV · Remote

$97K - $124K/yr

Ability to work with machine learning frameworks, such as TensorflowWork in an agile environment ... Remote First, Remote Only Culture * Four weeks paid time off yearly (prorated based on start date ...

Cengage Learning

Principal Software Engineer

Charleston, WV · On-site +1

$124K - $167K/yr

We believe in the power and joy of learning At Cengage, our employees have a direct impact in ... As a successful technology leader, you will build and lead remote software engineering ...

iSoftStone

Microsoft Copilot and AI

Charleston, WV · Remote

This is a remote role.* We are looking for a Microsoft Copilot and AI Agent Developer to design ... machine learning and AI. With 20 delivery centers and more than 90,000 employees worldwide ...

Zayo

Head of AI - Platform AI

Charleston, WV · Remote

$215K - $245K/yr

This role focuses on implementing cutting-edge machine learning, deep learning, and automation ... This remote work role will consider applicants that currently reside in the continental United ...

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 ...

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Showing results 21-40

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

Hourly Remote Machine Learning Engineer information

See Belva, WV salary details

$19.3K

$32.3K

$66.8K

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

As of Aug 21, 2026, the average yearly pay for hourly remote machine learning engineer in Belva, WV is $32,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $24,700.00 and $34,900.00 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 cities near Belva, WV are hiring for Hourly Remote Machine Learning Engineer jobs?

Cities near Belva, 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 Belva, WV as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $32,311 per year, or $15.5 per hour.

Data Engineer

Gopuff

Charleston, WV • Remote

$118K - $148K/yr

Full-time

Re-posted 4 days ago

Gopuff rating

4.9

Company rating: 4.9 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

18th of 24 rated food delivery companies

Job description

At Gopuff, data sits at the heart of our strategy. We are reimagining how people purchase everyday essentials, from snacks to household goods to alcohol, all delivered in minutes. To fuel this mission, we are seeking a Data Engineer to design, build, and scale the data systems that power insights, experimentation, and operational excellence across the company.
 
As a Data Engineer, you will play a critical role in shaping Gopuff’s modern data platform. You’ll architect reliable pipelines, create insights ready data products, and collaborate closely with analytics, product, and engineering teams to ensure data is trustworthy, discoverable, and ready for action. This is a highly technical, hands-on role for an engineer who wants to solve complex data problems at scale and directly influence business outcomes.
Responsibilities
  • Design, build, and maintain scalable batch and real-time data pipelines that power analytics, experimentation, and machine learning
  • Contribute to the architecture and maintenance of the Data Platform, ensuring systems are performant, cost-efficient and scalable
  • Partner cross-functionally with analytics, product, engineering and operations to deliver high-quality data solutions that drive measurable business impact
  • Develop and maintain curated, well-modeled datasets that serve as trusted sources of truth across the organization
  • Champion data quality, reliability, and observability by implementing best practices in testing, monitoring, lineage, and incident response
  • Contribute to team standards, patterns, and best practices
  • Drive improvements to infrastructure, developer workflows, CI/CD, and data platform tooling
Preferred Qualifications
  • 3-5 years of experience in data engineering or software engineering with a strong focus on data platform development
  • Proven experience building and scaling modern data platforms and delivering high-impact data solutions
  • Strong communication skills and the ability to work closely with technical and non-technical partners
  • Passion for building reliable, accessible, and high-quality data products
Technical Expertise
  • Strong proficiency in Python and SQL
  • Experience with modern cloud data warehouses and lakes (e.g., Snowflake, BigQuery, Databricks)
  • Experience building batch pipelines using DAG-based orchestrators (e.g., Dagster, Airflow)
  • Experience with event-driven architectures using Kafka, Kinesis, or Event Hubs
  • Experience developing real-time or streaming pipelines using Apache Beam, Flink, or Spark Streaming
  • Experience deploying applications and services to Kubernetes and using tools such as ArgoCD, Helm or Istio
  • Experience implementing DevOps concepts within data workflows (CI/CD, observability, monitoring, lineage)
  • Experience with Infrastructure-as-Code (e.g., Terraform)
Compensation
  • Gopuff pays employees based on market pricing and pay may vary depending on your location. The salary range below reflects what we’d reasonably expect to pay candidates. A candidate’s starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and market conditions. These ranges may be modified in the future. Exceptions may be made for exceptional individuals. For additional information on this role’s compensation package, please reach out to the designated recruiter for this role.
  • This role is eligible for a discretionary annual cash bonus and participation in Gopuff’s equity incentive plan.
  • Remote Base Salary Range: $118,000 - $148,000
Benefits Overview
  • Medical/Dental/Vision Insurance 
  • 401(k) Retirement Savings Plan
  • HSA or FSA eligibility
  • Long and Short-Term Disability Insurance
  • Mental Health Benefits
  • Fitness Reimbursement Program
  • 25% employee discount & FAM Membership
  • Flexible PTO
  • Group Life Insurance
  • EAP through AllOne Health (formerly Carebridge)
The only predictable thing about life is that it’s wildly unpredictable. That’s where we come in. When life does what it does best, customers turn to Gopuff to deliver their everyday essentials, and to get through their day & night, work day and weekend. We’re assembling a team of thinkers, dreamers & risk-takers...the kind of people who know the value of peace of mind in an unpredictable world. (And people who love snacks.)
 
Like what you’re hearing? Welcome to Gopuff.
 
#LI-GOPUFF
 
The Gopuff Fam is committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply. We are an equal employment opportunity employer.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

What Gopuff employees say

Pay

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About GoPuff

Sourced by ZipRecruiter

Customers turn to Gopuff to provide their everyday essentials-day and night, rain or shine. We're assembling a team of thinkers, dreamers and risk takers who are ready to help us reshape the world of retail faster than ever before. And it doesn't hurt if you like snacks.

Industry

Retail

Company size

5,001 - 10,000 Employees

Headquarters location

Philadelphia, PA, US

Year founded

2013

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