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Remote Full Stack Machine Learning Engineer Jobs in Clayton, NC

DomainTools

Full Stack Software Engineer

Raleigh, NC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

DomainTools is seeking a Software Engineer to join our Frontend Team. This position is perfect for ... machine-learning driven risk analytics delivered in near real-time. DomainTools offers a ...

DomainTools

Full Stack Software Engineer

Raleigh, NC · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

DomainTools is seeking a Software Engineer to join our Frontend Team. This position is perfect for ... machine-learning driven risk analytics delivered in near real-time. DomainTools offers a ...

Digitalturbine

Software Engineering Manager

Durham, NC · On-site +1

As a Software Engineering Manager, you will lead full-stack engineering pods responsible for ... Experience integrating data pipelines, machine learning, or BI tools into product workflows. About ...

Varsity Tutors

Machine Learning Tutor

Durham, NC · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Raleigh, NC · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

DomainTools

Senior Software Engineer

Raleigh, NC · On-site +1

$119K - $157K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with full stack development Benefits DomainTools is the global leader for Internet ... machine-learning driven risk analytics delivered in near real-time. DomainTools offers a ...

DomainTools

Senior Software Engineer

Raleigh, NC · Remote

$125K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with full stack development Benefits DomainTools is the global leader for Internet ... machine-learning driven risk analytics delivered in near real-time. DomainTools offers a ...

HedgeServ

Senior ITSMA Observability Engineer

Raleigh, NC · On-site +1

$101K - $139K/yr

Our solutions span the full investment lifecycle, including fund accounting, middle office, risk ... Extensive ELK Stack expertise, including Elasticsearch, Logstash, Kibana, Beats, Machine Learning ...

Archgroup

AVP, AI (Data Science/Engineer) Remote - EST

Raleigh, NC · Remote

$185K - $235K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role is focused on applying AI, machine learning, and data science to solve high-value ... Engineering, Analytics, or equivalent practical experience. #LI-LH1 #LI-REMOTE For individuals ...

Archgroup

AVP, AI (Data Science/Engineer) Remote - EST

Raleigh, NC · Remote

$185K - $235K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role is focused on applying AI, machine learning, and data science to solve high-value ... Engineering, Analytics, or equivalent practical experience. #LI-LH1 #LI-REMOTE For individuals ...

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Showing results 1-20

All JobsFull Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer Jobs in Clayton, NC

Remote Full Stack Machine Learning Engineer information

See Clayton, NC salary details

$37.8K

$114.6K

$162K

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

As of Aug 19, 2026, the average yearly pay for remote full stack machine learning engineer in Clayton, NC is $114,628.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,400.00 and $134,400.00 per year, depending on experience, location, and employer.

What is a remote full stack machine learning engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are the key skills and qualifications needed to thrive as a remote full stack machine learning engineer?

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.

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

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

What is the difference between Remote Full Stack Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

What are popular job titles related to Remote Full Stack Machine Learning Engineer jobs in Clayton, NC?

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

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

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

Remote Full Stack Machine Learning Engineer jobs near you
Infographic showing various Remote Full Stack Machine Learning Engineer job openings in Clayton, NC 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 $114,628 per year, or $55.1 per hour.

Senior Full Stack Engineer - HealthTech

Urrly

Raleigh, NC • Remote

$190K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago

Job description

Senior Full Stack Engineer - HealthTech

Location: U.S. Remote
Compensation: $190K-$200K base + bonus + equity
Schedule: Flexible hours with PST overlap
Travel: None

Build healthcare systems with real operational impact

Our client is a growth-stage healthcare technology company that has raised more than $100 million and is scaling quickly. We're hiring a Senior Full Stack Engineer to help build the core platform behind healthcare operations affecting hundreds of thousands of patient visits each year.

You'll join a lean, flat engineering team where senior engineers have broad ownership and direct access to product and company leadership. You won't be limited to a narrow layer of the stack or handed a queue of isolated tickets. You'll own meaningful systems end to end, influence architecture, and help shape the technical roadmap for their next stage of growth.

The direct users of these systems are often internal healthcare operations teams, but their impact reaches patients, clinicians, and health-plan partners. This is an opportunity to do hands-on work with real operational consequences-and participate in the upside through equity as the company continues to grow.

What you'll do
  • Build and operate production applications, APIs, integrations, data workflows, and internal user experiences.
  • Work across a polyglot stack that includes Ruby on Rails, Python, Node.js, SQL, and adjacent services.
  • Design reliable systems for sensitive healthcare data, with attention to data quality, auditability, performance, concurrency, and failure handling.
  • Own features from problem definition through launch, production support, and iteration.
  • Partner directly with product and leadership to define milestones, surface tradeoffs, and improve engineering standards.
  • Improve delivery, CI/CD, observability, and operational reliability alongside feature development.
  • Use AI coding tools such as Claude Code, Cursor, or Codex to accelerate delivery while maintaining strong testing and review practices.
What you bring
  • 7+ years building and operating production software, or equivalent Senior-level scope.
  • Strong hands-on experience in Ruby on Rails or Python, plus the ability to work confidently across multiple languages and systems.
  • Strong SQL and data-modeling skills, including PostgreSQL or similar relational databases.
  • Experience with JavaScript/TypeScript and modern web application development.
  • Strong engineering fundamentals: data structures, complexity, concurrency, API design, testing, and systems design.
  • Experience building reliable integrations, data pipelines, or high-volume operational systems.
  • Working knowledge of DevOps practices, including CI/CD, Docker, cloud infrastructure, monitoring, and incident response.
  • Clear examples of using AI coding agents responsibly, including how you validate their output.
  • A computer science degree or equivalent foundation in core software-engineering principles.
  • U.S. work authorization without sponsorship.
Nice to have
  • Healthcare, regulated-data, insurance, or operations-platform experience.
  • Experience with AWS, Kubernetes, event-driven systems, or distributed services.
  • Experience with C#, analytics systems, or data-warehouse tooling.
  • Experience improving and scaling systems already in production.
Benefits
  • Health, dental, and vision insurance
  • 401(k)
  • Generous PTO
  • Direct access to leadership and fast decision-making
  • Fully remote work with flexible hours
  • Modern, AI-assisted engineering workflows

At Urrly, fairness matters. We use AI to review every application against the same clear requirements for the role. Candidates are evaluated only on job-related factors such as skills, certifications, and experience, not personal attributes.

Employment Type: FULL_TIME

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