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Remote Aws Machine Learning Jobs in Utah (NOW HIRING)

DataAnnotation

Staff Software Engineer

Salt Lake City, UT · On-site +1

$60/hr

... remote work and setting your own schedule. We are looking for proficient programmers to help ... machine learning, and other engineers -- who are driving real‐world impact in AI development. Our ...

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Remote Aws Machine Learning information

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

To thrive as a Remote AWS Machine Learning Engineer, you need a strong background in machine learning algorithms, statistical analysis, and proficiency in programming languages such as Python, often supported by a relevant degree or certification. Familiarity with AWS services like SageMaker, Lambda, and EC2, as well as experience using cloud-based ML tools and AWS Certified Machine Learning credentials, is typically required. Excellent problem-solving skills, self-motivation, and clear written communication are valuable soft skills for remote collaboration and project management. These skills ensure effective model development, seamless deployment on cloud infrastructure, and successful remote teamwork in delivering scalable ML solutions.

What are some common challenges faced by remote AWS Machine Learning engineers, and how can they be addressed?

Remote AWS Machine Learning engineers often face challenges related to communication and collaboration, especially when working across different time zones and with cross-functional teams. Ensuring secure access to data and cloud resources is another key concern, given the sensitive nature of many machine learning projects. To overcome these challenges, engineers should leverage AWS collaboration tools, maintain clear documentation, and participate in regular virtual meetings. Additionally, setting up robust security protocols and using AWS Identity and Access Management (IAM) helps safeguard project assets while enabling effective teamwork.

What are remote AWS Machine Learning jobs?

Remote AWS Machine Learning jobs involve working with Amazon Web Services' suite of machine learning tools and services, such as SageMaker, to build, train, and deploy machine learning models. These positions allow professionals to work from anywhere, collaborating with teams virtually while leveraging AWS infrastructure to solve data-driven problems. Responsibilities often include data preprocessing, model development, and deploying scalable solutions in the cloud. Typical job titles may include Machine Learning Engineer, Data Scientist, or AI Developer, all with a focus on AWS technologies. These roles require strong programming skills, experience with cloud computing, and a background in machine learning or data science.

What is the difference between Remote Aws Machine Learning vs Remote Data Scientist?

AspectRemote Aws Machine LearningRemote Data Scientist
Required CredentialsAWS certifications, machine learning coursesStatistics, data analysis, programming skills
Work EnvironmentCloud platforms, AWS services, remote teamsData analysis, modeling, research in remote settings
Industry UsageTech, finance, healthcare using AWS ML toolsResearch, consulting, analytics across industries

Remote AWS Machine Learning specialists focus on deploying machine learning models using AWS cloud services, requiring AWS certifications and cloud expertise. Remote Data Scientists analyze data, build models, and interpret results, often with a stronger emphasis on statistics and programming. While both roles work remotely and involve data, AWS Machine Learning roles are more cloud and deployment-oriented, whereas Data Scientists focus on data analysis and research.

What are the most commonly searched types of Aws Machine Learning jobs in Utah? The most popular types of Aws Machine Learning jobs in Utah are:
What are popular job titles related to Remote Aws Machine Learning jobs in Utah? For Remote Aws Machine Learning jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Remote Aws Machine Learning jobs in Utah look for? The top searched job categories for Remote Aws Machine Learning jobs in Utah are:
What cities in Utah are hiring for Remote Aws Machine Learning jobs? Cities in Utah with the most Remote Aws Machine Learning job openings:
Remote Aws Machine Learning jobs near you
Senior / Principal Software Development Engineer

Senior / Principal Software Development Engineer

ELB Learning

American Fork, UT • On-site, Remote

$112.20K - $154.60K/yr

Full-time

Posted 2 days ago

Job description

We are seeking a highly experienced Senior / Principal Software Development Engineer to support a large-scale Healthcare Communication Training Platform built on a modern MERN-stack architecture hosted within AWS. This is a hands-on engineering and technical leadership role focused on platform stabilization, architectural improvement, feature development, and long-term scalability.
The ideal candidate brings deep expertise across full-stack JavaScript development, cloud-native AWS environments, and modern application architecture, while also being comfortable operating within complex, fast-moving client environments. This individual will work closely with technical leadership, project management, QA, DevOps, and business stakeholders to drive both ongoing maintenance efforts and new platform enhancements.
This engagement includes ownership across two major phases:
  • Platform stabilization, code audits, defect remediation, and architectural assessment
  • New module development, workflow enhancements, reporting functionality, and platform modernization

The role requires a strong balance of hands-on coding ability, technical strategy, problem-solving, and cross-functional collaboration.
Engagement Details
  • Fully Remote
  • Contract / Consulting Engagement
  • Healthcare & Learning Technology Environment
  • Immediate Interview Availability Preferred

Role Overview
This role combines deep hands-on engineering with technical leadership responsibilities across a cloud-hosted healthcare learning platform deployed on AWS ECS Fargate using ReactJS, Node.js, MongoDB Atlas, and supporting AWS services.
The position will support two key initiatives:
Phase 1 - Platform Stabilization & Technical Assessment
  • Conduct architecture and codebase audits
  • Resolve critical defects and platform instability
  • Improve environment parity across staging and production
  • Support vendor transition and onboarding activities
  • Improve testing, CI/CD reliability, and operational scalability
Phase 2 - New Feature & Module Development
  • Lead end-to-end development of new platform modules
  • Extend user management workflows and reporting functionality
  • Improve accessibility compliance across the application
  • Drive scalable engineering standards and best practices

Key Responsibilities
  • Design, develop, test, and deploy scalable full-stack application features and enhancements
  • Conduct detailed audits of existing systems and provide actionable remediation recommendations
  • Lead development of new application modules from architecture through deployment
  • Diagnose and resolve complex platform defects, performance bottlenecks, and deployment issues
  • Maintain and extend AWS-based infrastructure and services including Cognito, Lambda, SQS, DynamoDB, ECS, and related workflows
  • Design and maintain RESTful APIs and backend services using Node.js and Express.js
  • Build and maintain accessible, responsive UI components aligned with WCAG 2.1 AA standards
  • Write and maintain unit, integration, and E2E tests using Playwright, Jest, or Mocha
  • Participate in sprint planning, backlog grooming, architecture discussions, and code reviews
  • Create and maintain technical documentation, architecture diagrams, and environment configuration documentation
  • Collaborate cross-functionally with Product, QA, DevOps, PMs, and stakeholders
  • Identify technical risks and proactively propose mitigation strategies
  • Mentor and support junior and mid-level engineers
  • Support technical onboarding, vendor transition, and platform modernization initiatives
  • Contribute to technical strategy, architecture evolution, and engineering best practices

Required Qualifications
  • 10+ years of software development experience (15+ years preferred for Principal-level candidates)
  • Strong experience building and maintaining production-grade MERN stack applications
  • Expert-level proficiency in:
    • ReactJS
    • Next.js
    • TypeScript
    • Node.js
    • Express.js
    • MongoDB Atlas & Mongoose ODM
  • Hands-on experience with AWS cloud services and distributed systems
  • Experience with CI/CD pipelines using Bitbucket Pipelines, GitHub Actions, GitLab CI, or similar
  • Experience designing scalable cloud-based architectures and troubleshooting production issues
  • Strong understanding of WCAG 2.1 AA accessibility implementation in React applications
  • Experience working in Agile/Scrum development environments
  • Proven ability to independently own major platform components and deliver on schedule
  • Strong written and verbal communication skills

Preferred Qualifications
  • Experience working within EdTech, Healthcare, LMS, or training platform environments
  • Familiarity with SCORM and xAPI standards
  • Experience with vendor-transition or platform onboarding engagements
  • Experience with AWS ECS/Fargate container deployments
  • Familiarity with:
    • AWS Cognito
    • Lambda
    • SQS
    • DynamoDB
    • AWS CDK
    • SendGrid API
  • Experience supporting multi-environment AWS deployments and environment parity remediation
  • Prior technical leadership or mentoring experience strongly preferred

Skills & Competencies
  • Advanced full-stack debugging and problem-solving capability
  • Strong software architecture and system design skills
  • Ability to work effectively within legacy codebases and define modernization strategies
  • Strong technical leadership and mentoring skills
  • Excellent prioritization and time management
  • Quality-focused engineering mindset
  • Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
  • Ability to thrive in fast-paced, evolving project environments

Core Technology Stack
Frontend
  • ReactJS
  • Next.js
  • TypeScript
  • HTML5 / CSS3
  • WCAG 2.1 Accessibility Standards
Backend
  • Node.js
  • Express.js
  • RESTful APIs
Database
  • MongoDB Atlas
  • Mongoose ODM
AWS / Cloud
  • ECS Fargate
  • Lambda
  • Cognito
  • SQS
  • DynamoDB
  • AWS CDK
Testing & DevOps
  • Playwright
  • Jest / Mocha
  • Bitbucket Pipelines
  • CI/CD workflows
  • Containerized deployments

Department Instructional Design Role Training Content Developer Locations American Fork, UT, USA, Virtual / Remote Remote status Fully Remote Employment type Contract, Freelance Contract (Remote)

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