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Remote Full Stack Machine Learning Engineer Jobs in Clayton, NC

MCKESSON

Sr. AI-First Full Stack Engineer

Cary, NC · Remote

This role combines strong full stack engineering with Generative AI innovation to deliver ... Hybrid or remote work arrangement based on business needs. * Limited travel may be required for ...

DomainTools

Full Stack Software Engineer

Raleigh, NC · On-site +1

This role is primarily focused on working with the PHP server, but engineers will need to work in the full stack. Job Responsibilities * Write efficient, maintainable, and testable code following ...

DomainTools

Full Stack Software Engineer

Raleigh, NC · Remote

This role is primarily focused on working with the PHP server, but engineers will need to work in the full stack. Job Responsibilities * Write efficient, maintainable, and testable code following ...

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

$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

$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

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

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 ...

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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 Sep 9, 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, 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 $114,628 per year, or $55.1 per hour.

Full Stack - Software Engineer II (Power Distribution Equipment, Utility, HMI)

Raleigh, NC • On-site, Remote

PowerSecure
Electrical Equipment Manufacturing • 1 - 5K employees
Learn more about PowerSecureexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Job description

Software Engineer 2 - Full-Stack

Location: Hybrid (Durham, NC | Type: Full-time | Level: Mid-Level (2–5 years experience) | Team: Software Engineer 2 – Full Stack

About the Role:

PowerSecure is seeking a Mid-Level Full-Stack Engineer to help build and enhance cloud-native applications that support mission-critical operations. In this role, you will work across the full technology stack, developing modern Angular applications,
TypeScript/Node.js backend services, and AWS-native infrastructure. You will contribute to customer-facing dashboards, operational tools, data pipelines, and scalable services used by teams across the organization.

Technology Environment

  • TypeScript-first development across frontend, backend, and infrastructure code
  • Backend: AWS CDK-defined infrastructure, AWS Lambda, Kinesis, RDS, and ElastiCache
  • Frontend: Modern Angular applications using standalone components, signals-based APIs, Angular Material, AG Grid/AG Charts, and Highcharts
  • Multiple internal and customer-facing applications, including dashboards, operations tooling, administrative interfaces, and virtual assistant experiences

Core AWS Services

AWS Lambda, Kinesis, S3, RDS (MySQL) + RDS Proxy, ElastiCache (Redis), Cognito, IAM, CloudFront, CodePipeline / CodeBuild / CodeDeploy, ECR, SSM Parameter Store, Secrets Manager, X-Ray/CloudWatch, VPC networking

Frontend Technologies

  • Angular v21+ with standalone components and modern application architecture
  • Signals-based reactivity, including input(), signal-driven state, and zoneless change detection
  • RxJS for asynchronous data flows and HTTP interceptors
  • Angular Router with functional route guards
  • Angular Material for polished, consistent user interface components
  • AG Grid / AG Charts and Highcharts for dashboards and data visualization
  • Angular testing using TestBed and HttpClientTestingModule
  • Integration with Amazon Cognito-based authentication flows
  • SCSS-based styling and component architecture following core/shared/features layering conventions

Responsibilities

  • Design, build, and maintain Angular applications, including dashboards, administrative tools, and customer-facing user interfaces
  • Develop backend services using TypeScript/Node.js and AWS Lambda
  • Write and maintain AWS CDK infrastructure code to support scalable, repeatable deployments
  • Work with event-driven and data-oriented services, including Kinesis streams, RDS/Sequelize, and ElastiCache/Redis
  • Build and support CI/CD pipelines using CodePipeline, CodeBuild, and CodeDeploy for Angular and Lambda deployments
  • Implement observability and troubleshooting capabilities using CloudWatch, X-Ray, and related tooling
  • Collaborate with engineers, product stakeholders, and operations teams through Git/GitHub workflows, pull requests, and code reviews

Required Skills & Qualifications

  • Strong experience with TypeScript/JavaScript in both frontend and backend development
  • Professional experience with Angular v14+; experience with standalone components or signals-based Angular v17+ is preferred
  • Hands-on experience with AWS services such as Lambda, IAM, S3, and event-driven architectures
  • Experience with infrastructure as code, preferably AWS CDK or similar tools
  • Experience working with relational databases and ORMs such as Sequelize, TypeORM, or Prisma
  • Practical understanding of caching concepts and tools such as Redis or ElastiCache
  • Comfortable working with CI/CD pipelines and automated deployment processes
  • Proficient with Git/GitHub workflows, including branching, pull requests, and code reviews
  • Experience writing automated tests for frontend and backend applications

Nice to Have

  • Experience with Angular Material, AG Grid/AG Charts, or Highcharts
  • AWS certification, such as Developer Associate or Solutions Architect Associate
  • Experience with Amazon Cognito authentication flows
  • Familiarity with Docker or container-based deployments, including ECR, Swarm, or ECS
  • Exposure to VPC networking, security groups, and cloud security best practices

Education and Experience

  • Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field; equivalent practical experience will also be considered
  • Typically 2–5 years of professional software development experience in full-stack, cloud-based, or web application development
    Physical Demands and Work Environment:
  • Primarily remote with minimum travel
  • The primary office is located in Durham, NC
  • Collaborate via MS Teams, GitHub comments and documents

The above statements are intended to describe the general nature and level of work being performed by individuals assigned to this position. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required. Management reserves the right to assign or reassign duties and responsibilities at any time, based on business needs.

About Us
PowerSecure, a Southern Company subsidiary, is a leading provider of innovative energy solutions to electric utilities and their industrial, institutional, and commercial customers.

Join Our Power Team!
We invest in high-value and cost-effective benefits for our employees. Our benefits package includes:

  • Medical, dental, vision, and life insurance coverage
  • Competitive pay and a matching 401(k) plan
  • Vacation, Company Holidays, Paid Time Off (PTO – personal and sick days)
  • Flexible spending accounts / Health savings account
  • Wellness Incentive Programs
  • Employee Referral Program
  • Tuition Reimbursement

Equal Opportunity Employer

PowerSecure is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis protected by law. This position is not open to third parties

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