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Ml Engineer Jobs in Utah (NOW HIRING)

System One

AI Engineer

Salt Lake City, UT · On-site

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description ... Design and develop AI-driven product features using ML, GenAI, and LLMs * Build and deploy scalable ...

beatBread

AI Engineer

Saint George, UT · On-site

$50K - $90K/yr

About The Role As an AI Engineer, you will design, build, and deploy sophisticated AI solutions ... Lead the end-to-end development, testing, and deployment of AI and ML models * Architect and ...

beatBread

AI Engineer

Saint George, UT · On-site

About The Role As an AI Engineer, you will design, build, and deploy sophisticated AI solutions ... Lead the end-to-end development, testing, and deployment of AI and ML models * Architect and ...

BambooHR

Staff Data Scientist

Draper, UT · Hybrid

Collaborate deeply with BI Engineers and Data Engineers to embed ML and advanced analytical capabilities into our data platform and go-to-market motions. * Establish reusable methodologies, decision ...

Sunwest Bank

Data Engineer

Draper, UT

$107K - $128K/yr

Data Engineer Reports to: N/A About the Role The Data Engineer designs, builds, and optimizes ... Integrate AI/ML services with databases to combine extracted document insights with operational and ...

Sunwest Bank

Data Engineer

Draper, UT · On-site

$107K - $128K/yr

Data Engineer Reports to: N/A About the Role The Data Engineer designs, builds, and optimizes ... Integrate AI/ML services with databases to combine extracted document insights with operational and ...

Taxbit

Agentic AI Engineer

Salt Lake City, UT · Hybrid

$130K - $170K/yr

Opportunity for Impact TaxBit is seeking an Agentic AI Engineer excited by the intersection of AI ... Hands-on experience with AWS AI/ML services - Bedrock, Strands, AgentCore, SageMaker, or equivalent ...

Outsmart

Senior Applied AI Engineer

Lehi, UT · On-site

$190K - $250K/yr

Who You Are * 5+ years experience in hands-on AI/ML role * Deep and proven experience with agentic engineering * Experience shipping AI-first applications at scale * Experience using AI effectively ...

Exiger

Forward Deployed Engineer

South Ogden, UT · On-site

Forward Deployed Engineer Location: South Ogden, Utah Work Environment: Hybrid Clearance Required ... Apply AI/ML methods to enhance predictive analytics, anomaly detection, and risk identification ...

Taxbit

Agentic AI Engineer

Salt Lake City, UT · On-site

$130K - $170K/yr

Company Founded by CPAs, tax attorneys, and engineers, Taxbit is the leading innovator automating ... Hands-on experience with AWS AI/ML services - Bedrock, Strands, AgentCore, SageMaker, or equivalent ...

TaxBit

Agentic AI Engineer

Salt Lake City, UT · Hybrid

$130K - $170K/yr

Company Founded by CPAs, tax attorneys, and engineers, Taxbit is the leading innovator automating ... Hands-on experience with AWS AI/ML services - Bedrock, Strands, AgentCore, SageMaker, or equivalent ...

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Showing results 21-40

All JobsMl Engineer JobsMl Engineer Jobs in Utah

Ml Engineer information

See Utah salary details

$30K

$81.2K

$129.3K

How much do ml engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for ml engineer in Utah is $81,190.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $99,200.00 per year, depending on experience, location, and employer.

What is an ML engineer?

ML Engineers, or Machine Learning Engineers, are professionals who design, build, and deploy machine learning models into production systems. They bridge the gap between data science and software engineering, ensuring that machine learning solutions are scalable, reliable, and efficient. ML Engineers work with large datasets, develop algorithms, and optimize models for performance. They also collaborate with data scientists, software developers, and business stakeholders to solve real-world problems using artificial intelligence.

What are the key skills and qualifications needed to thrive as an ML engineer?

To thrive as an ML Engineer, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a degree in a related field. Familiarity with programming languages like Python or R, ML frameworks such as TensorFlow or PyTorch, and data processing tools is typically required, with relevant certifications being a plus. Strong problem-solving, critical thinking, and communication skills help you translate complex data insights into actionable solutions and work effectively in teams. These abilities ensure accurate model development, effective deployment, and successful collaboration on data-driven projects.

What are some common challenges ML engineers face when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring models remain accurate over time as data changes (known as data drift), optimizing models for speed and scalability, and integrating models seamlessly with existing software systems. Additionally, maintaining model performance in real-world environments can require continuous monitoring, retraining, and close collaboration with data engineers and DevOps teams. Addressing these challenges typically involves robust testing, using automated pipelines, and staying up-to-date with the latest MLOps best practices.

What is the difference between Ml Engineer vs Data Scientist?

AspectML EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; knowledge of ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDevelops, deploys, and maintains ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, startups, and enterprises deploying ML solutionsResearch institutions, tech firms, and industries relying on data analysis

While both roles involve working with data and machine learning, ML Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights to inform business decisions. The roles often overlap but differ in their core responsibilities and focus areas.

Are machine learning engineers still in demand?

Machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. They typically require skills in programming, data analysis, and frameworks like TensorFlow or PyTorch, and often work in environments that emphasize continuous learning and adaptation. The demand is expected to remain strong as organizations increasingly rely on machine learning solutions for competitive advantage.

What does a machine learning engineer do?

A machine learning engineer designs, develops, and deploys machine learning models to solve specific problems using large datasets. They work with programming languages like Python or Java, utilize frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists and software engineers to integrate models into applications.

What are the most commonly searched types of Ml Engineer jobs in Utah?

The most popular types of Ml Engineer jobs in Utah are:

What are popular job titles related to Ml Engineer jobs in Utah?

For Ml Engineer jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Ml Engineer jobs in Utah look for?

The top searched job categories for Ml Engineer jobs in Utah are:

What cities in Utah are hiring for Ml Engineer jobs?

Cities in Utah with the most Ml Engineer job openings:

Ml Engineer jobs near you
Infographic showing various Ml Engineer job openings in Utah as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $81,190 per year, or $39 per hour.

Quality Assurance Engineer (Remote)

MRIoA

Salt Lake City, UT • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago

Job description

Description
Who We Are - Motivated by Purpose. Powered by Clinical Expertise.
Founded in 1983, we're a clinically-driven, tech-enabled utilization management company offering expert clinical reviews, regulatory guidance, and actionable insights to healthcare organizations.
Excellence starts with our people.
WE OFFER
  • A competitive compensation package
  • Benefits include healthcare, vision, and dental insurance
  • A generous 401(k) match
  • Paid vacation, PTO, and holidays
  • Growth and training opportunities
  • An award-winning remote work environment

POSITION OVERVIEW
Quality Assurance Engineer is a corporate function within the Engineering organization responsible for the quality, reliability, and release-readiness of software products built on modern technologies, including cloud-native applications hosted on Microsoft Azure and AI/ML-enabled features.
Roles:
  • Primary role is testing software applications created or updated by the Application Development team.
  • Conduct structured peer and code reviews of test artifacts to ensure adherence to standards and best practices.
  • Design, create, and maintain realistic and compliant test data sets, including synthetic data for healthcare (PHI-safe) scenarios.
  • Design and execute validation strategies for AI/ML and Retrieval-Augmented Generation (RAG) features, including model quality, grounding, and safety evaluation.

Major Responsibilities or Assigned Duties:
  • Participate in the test management lifecycle, including test planning, execution tracking, defect management and reporting.
  • Provide input on release readiness criteria to Engineering and Product stakeholders.
  • Maintain the regression suite after every release.
  • Develop and maintain automated test suites in Python (e.g., pytest) and JavaScript/Node.js, integrated into CI/CD pipelines.
  • Write and review complex SQL queries, joins, and aggregations to validate data accuracy, completeness, and reconciliation across systems.
  • Validate data flows across source systems, transformation layers, and reporting/consumption layers.
  • Ensure test data supports both functional automation and AI/ML / RAG evaluation needs.
  • Design and execute test strategies for AI/ML and Retrieval-Augmented Generation (RAG) pipelines and AI-assisted features, including retrieval accuracy, grounding, hallucination, output quality, bias/safety, and drift (regression) checks.
  • Build and maintain automated evaluation harnesses and datasets for AI/ML features, including prompt/response scoring and metric tracking.
  • Validate applications, APIs, and test environments deployed on on-prem data center, Microsoft Azure, including Azure-hosted services, data stores, and CI/CD pipelines.
  • Read and interpret React / Node.js / Python / ColdFusion source code, pull requests, and technical designs to identify testable conditions, edge cases, and regression risk.
  • Write detailed test cases and test plans that trace directly to code paths, business rules, and acceptance criteria.
  • Partner with developers during code review to flag insufficient test coverage, untested branches, and high-risk changes before merge.
  • Perform post-deployment validation to confirm application, API, and AI feature stability in production.
  • Investigate production defects and data issues, perform root cause analysis, and drive resolution with Engineering.

Requirements
Skills and Experience:
  • 5+ years of experience in automated software testing
  • 5+ years of experience in manual software testing
  • 5+ years of experience in component-level testing
  • 5+ years of experience in end-to-end testing
  • Proficiency in SQL
  • Proficiency in React
  • Proficiency in Node.js
  • Proficiency in Python source code in GitLab
  • Proficiency in testing Artificial Intelligence (AI)
  • Proficiency in testing Machine Learning (ML)
  • Proficiency in evaluating Artificial Intelligence (AI)
  • Proficiency in evaluating Machine Learning (ML)
  • Proficiency in testing Retrieval-Augmented Generation (RAG)
  • Proficiency in testing generative AI features
  • Proficiency in testing workloads on Microsoft Azure

Education:
  • High School Diploma required
  • Bachelor's degree (Advantage)

Work Environment:
Ability to sit at a desk, utilize a computer, telephone, and other basic office equipment is required. This role is designed to be a remote position (work-from-home).
Diversity Statement:
Diversity creates a healthier atmosphere: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
Drug-Free Workplace:
This company is a drug-free workplace. All candidates are required to pass a Background Screen before beginning employment. All newly hired employees will take a Drug Screen, as well as agreeing to all necessary Compliance Regulations on their first day of employment. Employees are required to adhere to all applicable HIPAA regulations and company policies and procedures regarding the confidentiality, privacy, and security of sensitive health information.
California Consumer Privacy Act (CCPA) Information (California Residents Only):
  • Sensitive Personal Info: MRIoA may collect sensitive personal info such as real name, nickname or alias, postal address, telephone number, email address, Social Security number, signature, online identifier, Internet Protocol address, driver's license number, or state identification card number, and passport number.
  • Data Access and Correction: Applicants can access their data and request corrections. For questions and/or requests to edit, delete, or correct data, please email the Medical Review Institute at HR@mrioa.com.

Apply