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Remote Machine Learning Jobs in Clayton, NC (NOW HIRING)

Senior Software Engineer

Raleigh, NC ยท On-site +1

$119K - $157K/yr

Experience with data mining or machine learning techniques * Experience with text codec, encoding & web protocols * Bash, Scala, C, or Hive development experience * Experience with full stack ...

Senior Software Engineer

Raleigh, NC ยท Remote

$125K - $165K/yr

Experience with data mining or machine learning techniques * Experience with text codec, encoding & web protocols * Bash, Scala, C, or Hive development experience * Experience with full stack ...

Senior AI Technologist

Raleigh, NC ยท On-site +1

$48.75 - $63/hr

Experience preparing and transforming data for analytics, machine learning, search, or AI-enabled ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

Our proprietary platform, enhanced by machine learning and robotic process automation, gives ... HedgeServ supports employees through a variety of offerings, including remote and hybrid working ...

Experience with AI and Machine Learning Job Environment & Physical Requirements: * Travel up to 10% of the time * Fully Remote SECU provides equal employment opportunity to all qualified persons ...

Middle Office Sr. Associate

Raleigh, NC ยท On-site +1

$16.50 - $22/hr

Our proprietary platform, enhanced by machine learning and robotic process automation, gives ... HedgeServ supports employees through a variety of offerings, including remote and hybrid working ...

Treasury Manager

Raleigh, NC ยท On-site +1

Our proprietary platform, enhanced by machine learning and robotic process automation, gives ... HedgeServ supports employees through a variety of offerings, including remote and hybrid working ...

Our proprietary platform, enhanced by machine learning and robotic process automation, gives ... HedgeServ supports employees through a variety of offerings, including remote and hybrid working ...

Showing results 41-60

Remote Machine Learning information

See Clayton, NC salary details

$21.7K

$36.2K

$74.8K

How much do remote machine learning jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote machine learning in Clayton, NC is $36,219.00, according to ZipRecruiter salary data. Most workers in this role earn between $27,600.00 and $39,100.00 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 popular job titles related to Remote Machine Learning jobs in Clayton, NC?

For Remote Machine Learning jobs in Clayton, NC, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning jobs in Clayton, NC look for?

The top searched job categories for Remote Machine Learning jobs in Clayton, NC are:

What cities near Clayton, NC are hiring for Remote Machine Learning jobs?

Cities near Clayton, NC with the most Remote Machine Learning job openings:

Infographic showing various Remote Machine Learning job openings in Clayton, NC as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $36,219 per year, or $17.4 per hour.

Founding Chief Technology Officer (CTO)

Modern Government Solutions

Raleigh, NC โ€ข Remote

Full-time

Posted 28 days ago


Job description

Role Title: Founding Chief Technology Officer

Location: Remote-first (U.S.)

Job Type: Full-time

Clearance Required: U.S. Citizenship & Top Secret clearance eligibility required

Modern Government Solutions (MGS) is conducting a confidential executive search on behalf of a venture-backed defense technology partner seeking its Founding Chief Technology Officer. The client's identity is withheld at this stage and will be shared with qualified, pre-screened candidates under a non-disclosure agreement. All inquiries are handled discreetly through MGS.

About the Opportunity

Our client is an early-stage, venture-backed company building advanced hardware, sensing, and autonomous systems for defense and national security customers. In a short time the company has moved from concept to field-validated technology, secured early government agreements, and attracted institutional investment. The next phase is about converting proven prototypes into rugged, mission-ready products at production scale, and that mission defines this role.

This is a founding executive seat with meaningful equity and outsized influence over the company's technical direction. It is a builder's role, not a research role: you will lead the teams that design, prototype, manufacture, deploy, and continuously improve products that protect the people who use them.

What You Will Own

  • Technology vision & roadmap. Partner with the CEO and COO to translate customer and operational needs into a multi-year technology strategy, and build the engineering organization to deliver it.
  • AI/ML and edge AI. Lead model development and MLOps for inference that runs on low-power hardware, offline and in degraded environments; not cloud-dependent enterprise AI.
  • Robotics & autonomy. Direct development of autonomous and embedded systems that operate in GPS-denied and communications-denied conditions.
  • Hardware & embedded engineering. Oversee electrical, mechanical, embedded, and systems engineering through ruggedization and environmental (MIL-STD-class) testing.
  • Prototype-to-production. Own the transition from prototype to scalable manufacturing; design for manufacturability, supply-chain qualification, quality and production-test systems, and production scale-up.
  • Engineering leadership & culture. Recruit and develop an elite, multidisciplinary engineering team, and set an execution culture built on speed, ownership, and mission focus.

What We're Looking For

  • 15+ years of hands-on engineering leadership, including taking hardware products from concept through production. Military or aerospace systems experience is a strong plus.
  • Deep, current expertise across machine learning and edge AI, robotics or autonomous systems, and embedded platforms; a leader equally at home in the machine shop and the boardroom.
  • A track record of scaling: standing up manufacturing or contract-manufacturing at volume, and building an engineering organization from a handful of people to twenty-plus who would follow you again.
  • Builder's temperament: comfortable making decisions with incomplete information, hands-on in early-stage development, and driven by mission over title.
  • S. citizenship required, with the ability to obtain and maintain a Top Secret clearance (TS/SCI eligibility preferred; an active clearance is a plus), due to federal contract and export-control (ITAR) obligations.
  • Advanced degree in engineering, computer science, robotics, physics, or a related field preferred - though a record of shipped products outweighs academic credentials.

Location, Compensation & Eligibility

  • Location: Remote-first within the U.S., with periodic travel to customer sites and company engagements. Openness to relocation over a multi-year horizon is expected as the company scales its operations.
  • Compensation: Competitive executive salary, meaningful founding equity, performance-based incentives, and comprehensive benefits.
  • Eligibility: U.S. citizenship is required. The client is an equal-opportunity employer; employment decisions are made on the basis of merit and mission fit.

How to Apply

Qualified candidates and referrals may apply in confidence through the Modern Government Solutions careers page or by contacting the MGS recruiting team directly. Pre-screened candidates will be introduced to the client and provided full role details under NDA.