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Remote Aws Machine Learning Jobs in Utah (NOW HIRING)

Cicero Group

Senior AI Developer

Salt Lake City, UT · On-site +1

$52.75 - $69.75/hr

... or machine learning applications * Hands-on experience building with LLMs, including RAG ... Remote employees will be expected to travel to an office periodically.

Reed

$53 - $70.25/hr

... AWS, Azure, or GCP preferred). * Experience with CI/CD pipelines, automated testing, and DevOps ... Exposure to machine learning pipelines or data engineering workflows. * Prior experience working in ...

Humana

Transformation Strategy Lead

North Salt Lake, UT · On-site +1

Exposure to AI technologies, such as machine learning, natural language processing, and data ... Remote NY will be considered, preferred is DC Metro and Louisville, KY. Travel : Occasional travel ...

Humana

Transformation Strategy Lead

North Salt Lake, UT · On-site +1

Exposure to AI technologies, such as machine learning, natural language processing, and data ... Remote NY will be considered, preferred is DC Metro and Louisville, KY. Travel : Occasional travel ...

Humana

Transformation Strategy Lead

North Salt Lake, UT · On-site +1

Exposure to AI technologies, such as machine learning, natural language processing, and data ... Remote NY will be considered, preferred is DC Metro and Louisville, KY. Travel : Occasional travel ...

Pattern

Talent Review Partner (Contractor)

Lehi, UT · On-site +1

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... This is a temporary, part-time contractor position that is fully remote and highly flexible.

Pattern

Talent Review Partner (Contractor)

Lehi, UT · Remote

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... This is a temporary, part-time contractor position that is fully remote and highly flexible.

ABB

OEM Sales Director-Machinery

UT · On-site +1

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

Conduent, Inc.

Cyber Operations Engineer III

Sandy, UT · On-site +1

$91K - $120K/yr

... AWS Security Specialty, Azure Security Engineer) Flexible Working At Conduent, we value ... Remote Work: Enjoy the flexibility of working from home while optimizing your work-life balance.

Canopy

QA Automation Tech Lead

South Jordan, UT · Remote

Interested in learning more about Canopy & the industry? Check out our blog here where you can find ... This position is remote eligible for candidates who currently reside in Utah. What You'll Do ...

Canopy

Senior QA Automation Engineer

South Jordan, UT · On-site +1

Interested in learning more about Canopy & the industry? Check out our blog here where you can find ... Basic knowledge of cloud platforms such as AWS We know many women do not apply for a job if they do ...

Canopy

Senior QA Automation Engineer

South Jordan, UT · On-site +1

Interested in learning more about Canopy & the industry? Check out our blog here where you can find ... Basic knowledge of cloud platforms such as AWS We know many women do not apply for a job if they do ...

Canopy

QA Automation Tech Lead

South Jordan, UT · Remote

Interested in learning more about Canopy & the industry? Check out our blog here where you can find ... This position is remote eligible for candidates who currently reside in Utah. What You'll Do ...

UMB Financial

Sr. Software Engineer (Full-stack)

Ogden, UT · On-site +1

$83K - $131K/yr

This role is hybrid (4 days on-site / 1 day remote) at our Ogden, UT or Kansas City metropolitan ... Provide mentorship to members of the team and help foster a learning environment. We're excited to ...

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All JobsRemote Aws Machine Learning JobsRemote Aws Machine Learning Jobs in Utah

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 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 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 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 AI Developer

Senior AI Developer

Cicero Group

Salt Lake City, UT • On-site, Remote

$52.75 - $69.75/hr

Full-time

Posted 16 days ago

Job description

About the Role
MGT is hiring a Senior AI Developer to join our AI Operating Group (AI OG). The AI OG is responsible for both internal AI tool development and client-facing AI solution delivery, primarily serving the state and local government market.
This is a deeply technical, hands-on role. You will build the AI systems that power our client engagements and internal product suite - not prototype them, not advise on them. You will own the code, the architecture, and the output. The right person for this role has real AI development experience, is fluent in the Microsoft Azure ecosystem, and takes pride in shipping things that actually work in production.
This is not a consulting role, but you will work closely with client-facing teams. You should be comfortable translating ambiguous business requirements into clean technical solutions, and working across a team where not everyone speaks your language.
What You'll Do
  • Build and maintain production-grade AI solutions including RAG pipelines, agentic workflows, and multi-agent systems
  • Develop on the Microsoft Azure AI stack, including Azure OpenAI Service, Azure AI Foundry, and related services
  • Architect and implement data pipelines and integration patterns that connect AI capabilities to client systems and data sources
  • Work with tool-layer integration standards such as MCP (Model Context Protocol) to connect agents with enterprise systems
  • Develop reusable components, skills, templates, and accelerators that scale across multiple engagements
  • Collaborate with AI Solutions Architects and project leads to translate solution designs into working builds
  • Contribute to and help set technical standards for the AI OG's code-first development practices
  • Support internal product development across MGT's AI tool suite
Required Qualifications
  • 5+ years of professional software development experience, with at least 2 years focused on AI or machine learning applications
  • Hands-on experience building with LLMs, including RAG architectures, agentic design patterns, prompt engineering, or vector databases
  • Demonstrated Azure experience, including Azure OpenAI Service or Azure AI Foundry
  • Strong Python development skills
  • Ability to independently scope and deliver technical solutions with minimal oversight
  • A builder mentality: you would rather figure it out and ship it than wait for a detailed specification
Preferred Qualifications
  • Experience with Microsoft Copilot Studio or Power Platform
  • Background in data architecture, ETL/ELT pipelines, or analytics platforms
  • Experience with frameworks such as LangChain or LangGraph
  • Prior work in consulting, professional services, or client-facing technical delivery
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
What Success Looks Like
  • Within 30 days: You understand our current tool suite, architecture patterns, and active client engagements. You have shipped something.
  • Within 90 days: You are independently owning technical builds on client projects and contributing to internal product development.
  • Within 6 months: You are setting technical standards for the team, accelerating junior developers, and driving architectural decisions on complex engagements.
Why MGT
You will be joining a team that is actively building and shipping AI products, not talking about them. We have real tools in production, real clients using them, and a leadership team that understands both the technology and the business.
This is a high-visibility role with direct access to senior leadership and the opportunity to shape how AI gets delivered across the organization. We are building the AI practice from the ground up, which means you will have an outsized impact on the tools, processes, and culture of the team.
Our philosophy: clean data foundations first, AI layered on top. Process understanding before automation. Empowering domain experts to build, not centralizing AI capability in a silo. If that resonates with you, this is your team.
NOTE: We currently do not accept candidates who require sponsorship, nor are we able to provide sponsorship opportunities to candidates.
Positions are available in Salt Lake City, Utah; Washington, D.C.; and remote. Remote employees will be expected to travel to an office periodically.

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