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Remote Machine Learning Jobs in West Virginia (NOW HIRING)

By harnessing the power of AI and machine learning, SailPoint automates and streamlines the ... Participate in onsite and remote foundationalimplementation engagements * Educatecustomers on high ...

By harnessing the power of AI and machine learning, SailPoint automates and streamlines the ... Participate in onsite and remote foundationalimplementation engagements * Educatecustomers on high ...

$130K - $150K/yr

This fully remote role will focus on developing and maintaining sophisticated quantitative models ... machine learning workflows. Leverage Python for data preparation, model training, and result ...

Senior Forward Deployed Engineer

Charleston, WV · On-site +1

$96K - $132K/yr

By harnessing the power of AI and machine learning, SailPoint automates and streamlines the ... Participate in onsite and remote foundationalimplementation engagements * Educatecustomers on high ...

By harnessing the power of AI and machine learning, SailPoint automates and streamlines the ... Participate in onsite and remote foundationalimplementation engagements * Educatecustomers on high ...

By harnessing the power of AI and machine learning, SailPoint automates and streamlines the ... Participate in onsite and remote foundationalimplementation engagements * Educatecustomers on high ...

... platforms, machine learning workloads, cloud infrastructure, and data integrations. * Lead root ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

$234K/yr

Experience applying AI, machine learning, large language models (LLMs), automation, or intelligent ... Flexible work environment, ability to work remote, hybrid or in-office * Flexible time off ...

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 ...

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Showing results 41-60

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 Sep 14, 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.

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:

Infographic showing various Remote Machine Learning job openings in West Virginia as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $32,967 per year, or $15.8 per hour.

Forward Deployed Engineer

Charleston, WV • Remote

SailPoint
Software Development • 501 - 1,000 employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Job description

WhySailPoint?

SailPoint is the leading, AI-driven security platform providing the autonomous governance that best solves the needs for the modern enterprise. By harnessing the power of AI and machine learning, SailPoint automates and streamlines the complexity of delivering the right access to the right identities and technology resources at the right time. Delivered at the scale our enterprise customer'sdemand.

We are proud of our team and the culture we have built which has led to our employees voting us "best places to work" - 15 years in a row.

What You'll Do:

Operating at the intersection of Solution Engineering,ProfessionalServicesand Product Management,RFP/RFIForwardDeployedEngineers (FDEs)leverage state-of-the-art AI tooling alongside deep implementation expertiseandindustry knowledgeto buildfoundational solutions,solvecomplexproblems,accelerateour customers' time-to-valueanddecrease the cost oftraditional services.You will partner with our salesorganizationbyapplying your technical abilities, problemsolvingskillsand business acumen in support of SailPoint's growthobjectives.

RFP/RFIForward Deployed Engineers(FDEs)at SailPoint embark on their journey by undergoing comprehensive productand salestraining. Thisinitialphase allows them to harness their existing experience, paving the way for a profound understanding of our SaaS solutionsand the challenges theysolve forourcustomers.

  • Withintwo months,FDEsbeginparticipatinginsales dealswhere they willleveragetheirproduct implementationexpertiseas well asclient and partner communication skillstoimplementfoundational solutionsand proof-of-value implementations,leading to rapid time tovalue.
  • After their first six months,FDEswillbe expected to serve as technical leads oncustomer engagements andhave established themselves as both technical and consultative experts within the SailPointSalesorganization
  • By the end of their first year,they will have become a trusted advisor to customers, partners, and to less experienced team members.They mayhave the opportunityto speak at national or regional conferences and user groups.

Responsibilities:

  • Activelyparticipatein the sales process and work closely with the direct and channel sales teams
  • Discover and understand customer requirements and align our solutions to those requirements, augmenting your expertise with AI tooling
  • Participate in onsite and remote foundationalimplementation engagements
  • Educatecustomers on high-level product architecture, functional design, and best practices
  • Assistin theanalysis, and documentation ofcustomer requirementsand how theymapto SailPoint solutions
  • Collaborate with cross-functional teams like sales, solution engineering,product,professional services,and customer success to ensurea seamless customer experience
  • Collaborate with otherForwardDeployedEngineeringteam memberstodesign creative solutions to complex problems.
  • Master ArtificialIntelligence andAgentictechnologiesto solve customerproblems.
  • Contribute tobuilding out Agentictechnologysolutions thatbecomeour standard fordemonstrationsofSailPoint'sproducts.

Requirements:

  • 5-7+ years of professional work experience as part of an enterprise software company, systems integrator, or consulting firm; 3+ years of software implementationor pre-salesexperience.Experiencein software development,implementation,and configuration
  • Excellent communications skills and extensive experience workingdirectlywith clients and partners
  • A working knowledge of technical infrastructure including web services, application servers, databases, virtualization, and directories isrequired
  • Conversant in modern SaaS architecture
  • Experience withagentic coding toolssuch as
  • Cursor, Claude Code, Kiro, Google Antigravity, GitHub CoPilot,OpenAI Codex
  • Familiarity with Java, XML,Python, SQL,Powershell,JSON, Azure/AWS/GCP is desirable
  • Experience with the following tech-stack
  • NodeJS, JavaScript, Typescript, Angular, React.js

Preferred:

  • 3+ years working with Identity, Governance and Access Management solutions
  • Experience withat least one of the following
  • Windows and Unix (Linux, Sun, HP, AIX) platforms
  • Relational databases (Oracle, Sybase, MSSQL, MySQL)
  • NoSQL databases (MongoDB, Cassandra, Redis)
  • Directories (LDAP, AD)
  • Enterprise resource planning or service management systems (SAP, PeopleSoft, ServiceNow)
  • Cloud Infrastructure-as-a-Service platforms (AWS, Azure, GCP)
  • Familiarity withSailPointproductsandvendorssuch asSaviynt,RSA/Aveksa,OneIdentity,OralceIdentity Manager,etc.
  • Familiarity with AI and machine learning concepts
  • Experience with project management duties (project planning, resource management, scope, schedule and status, documentation)
  • Experience with quality assurance duties (usability testing, performance testing, automated testing, test scripts, test cases and test plans)
  • Security software or IT audit experience

Education:

  • Computer Science degree, Engineering degree, orequivalent experience
  • J2EE certification and/or CISSP certification is a plus
  • SailPoint Certified Engineer or Solution Architect is a plus and is expected within 12 months of hire

Travel:

  • Thispositionmay requireup to 15% travel

Benefits and Compensation listed vary based on the location of your employment and the nature of your employment with SailPoint.


As a part of the total compensation package, this role may be eligible for the SailPoint Corporate Bonus Plan or a role-specific commission, along with potential eligibility for equity participation. SailPoint maintains broad salary ranges for its roles to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect SailPoint's differing products, industries, and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. We estimate the base salary, for US-based employees, will be in this range from (min-max, USD):

$106,100 - $178,770.00

Base salaries for employees based in other locations are competitive for the employee's home location.

Benefits Overview

1. Health and wellness coverage: Medical, dental, and vision insurance

2. Disability coverage: Short-term and long-term disability

3. Life protection: Life insurance and Accidental Death & Dismemberment (AD&D)

4. Additional life coverage options: Supplemental life insurance for employees, spouses, and children

5. Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account

6. Financial security: 401(k) Savings and Investment Plan with company matching

7. Time off benefits: Flexible vacation policy

8. Holidays: 8 paid holidays annually

9. Sick leave

10. Parental support: Paid parental leave

11. Employee Assistance Program (EAP) and Care Counselors

12. Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options

13. Health Savings Account (HSA) with employer contribution

SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law.

Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact applicationassistance@sailpoint.com or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations. NOTE: Any unsolicited resumes sent by candidates or agencies to this email will not be considered for current openings at SailPoint.