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Remote Machine Learning Jobs in West Virginia (NOW HIRING)

... machine learning to package media with unique data in real time at scale. We are looking for an ... Remote

Solution Architect - HIGLAS/HOM Program (CMS)

WV · Remote

$56.75 - $74.75/hr

Artificial Intelligence(AI) and Machine Learning (ML), Analytics & Automation * Identify and ... Remote. Candidates in the DMV area, strongly preferred. Clearance : Ability to obtain a Public ...

Assess machine-translated lyrics for meaning, naturalness, and contextual flow. * Provide quality ... Approximately $17/hour for Learning Explicitness & Translation Quality * Location: Remote work ...

Pega Developer SME

Clarksburg, WV · On-site +1

$55.25 - $72.25/hr

Clarksburg, WV (onsite preferred, remote work possible) Who are you? Security-cleared Professional ... Experience integrating Artificial Intelligence (AI) and Machine Learning (ML) into IT systems for ...

... Machine Learning, or Data Science. * Experience applying AI principles in real-world enterprise ... Remote

Certain roles -- such as field-based sales or other remote-by-design positions -- may have ... Evaluate and deploy AI and machine learning applications in marketing -- from predictive lead ...

Apply Early

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

$84K - $135K/yr

As an Industrial Account Manager, you'll be part of our Industrial Sales team working as a remote ... Learn: Have access to a wealth of learning resources, including our digital learning portal.

$113K - $149K/yr

This is a remote role, reporting to the Senior Director of Engineering. Responsibilities * Partner ... Contribute to a strong engineering culture built on learning, accountability, and continuous ...

Remote * Position is contingent upon DON Security receiving favorable results on background ... AI-powered career tool that identifies career steps and learning opportunities * Support: An ...

Software Engineer, Labs

Charleston, WV · On-site +1

$113K - $149K/yr

Learning and development support 🏢 Our Denver Office Our Denver office offers a collaborative ... You'll enjoy purposeful inperson collaboration alongside flexible remote days, with easy access to ...

$116K - $153K/yr

This remote role welcomes candidates anywhere in the US. Candidates must be able to collaborate during core Central Time business hours. Salary: 110K - 145K What your impact will be: * Design ...

$116K - $153K/yr

This remote role welcomes candidates anywhere in the US. Candidates must be able to collaborate during core Central Time business hours. Salary: 110K - 145K What your impact will be: * Design ...

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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 Jul 3, 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 engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

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.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
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:
Sales Director, Brand & Agency Sales (NY, NJ, CT) - Remote

Sales Director, Brand & Agency Sales (NY, NJ, CT) - Remote

Experian

On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 hours ago


Job description

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Job Description

Audigent, a part of Experian, is the leading data activation, curation, and identity platform. Our pioneering technology unlocks the power of privacy-safe, first-party data to maximize addressability and monetization of media at scale-without relying on cookies.

As one of the industry's first data curation platforms, Audigent is transforming the programmatic landscape with innovative solutions like SmartPMP, ContextualPMP, and CognitivePMP, which leverage AI and machine learning to package media with unique data in real time at scale.

We are looking for an experienced Programmatic Media and Data Sales Director to usher in the next wave of media and data curation by creating, growing our client opportunities. You will focus on selling data solutions and Private Marketplace (PMP) deals to brands and agencies managing digital media campaigns. You will help build Audigent's growth and delivering measurable value to clients in an ever- evolving ecosystem. You will report to the Vice President of Sales.

Responsibilities:

  • Increase revenue from new business by selling PMP and data solutions that deliver scale and performance for digital media campaigns.
  • Develop client relationships with advertisers and agencies.
  • Develop a pipeline of new business relationships across agencies and brands of all sizes.
  • Prospect, pitch, negotiate, and close new business opportunities with agencies and brands.
  • Upsell and cross-sell leads from brands/agencies buying Audigent solutions through industry buying platforms into custom PMP and Deal ID solutions.
  • Secure and expand strategic accounts to increase share of voice and stregthen client relationships.
  • Collaborate across the sales team and with Audience Strategy, Curation, Strategic Accounts, and Marketing teams to provide tailored data and media solutions and exceptional client service.
  • Manage accurate client records and pipeline updates in Salesforce.
  • Coordinate with business development resources and other sellers to provide integrated solutions.
  • Stay informed on digital advertising trends, programmatic innovations, and evolving industry challenges to provide expertise and strategic guidance.
Qualifications
  • 3+ years in digital, mobile, programmatic, or advertising sales, with relationships across media agencies and direct brands (including holding companies and independents).
  • Experience exceeding sales goals, specifically selling PMP deals and programmatic data solutions.
  • Deep understanding of the adtech ecosystem, specifically DSPs/DMPs/SSPs (e.g., The Trade Desk, DV360, Yahoo!, Basis, Viant) and their role in supporting digital media campaigns and delivering value for brands/agencies
  • Experience selling PMPs, deal IDs, and managed services solutions to clients of all sizes.
  • Experience communicating product benefits appropriate for each prospect face-to-face, phone, and email engagements.
  • Experience working in collaborative environments and organize teams to guide the best media and data solutions.
  • Succeed and adapt in embracing innovation in a transforming media category.
Additional Information

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces 2025 (Fortune Global Top 25), Great Place To Work in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Benefits/Perks:

  • Great compensation package and sales incentive plan
  • Core benefits including full medical, dental, vision, and matching 401K
  • Flexible work environment, ability to work fully remote, hybrid or in-office
  • Flexible time off, including volunteer time off, vacation, sick, and 12-paid holidays

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