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Artificial Intelligence Machine Learning Engineer Jobs in Utah

Bespoke Labs

Machine Learning Engineer

Logan, UT · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Ogden, UT

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Orem, UT · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Ogden, UT · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Logan, UT

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

NICE

Senior Machine Learning Engineer

Sandy, UT · Hybrid

$99K - $136K/yr

As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech-oriented AI models - covering real-time transcription and speech-to-speech systems across dozens of ...

Bespoke Labs

Machine Learning Engineer

Orem, UT

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

NICE

Senior Machine Learning Engineer

Sandy, UT · On-site

$113K - $150K/yr

As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech-oriented AI models - covering real-time transcription and speech-to-speech systems across dozens of ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Utah

Artificial Intelligence Machine Learning Engineer information

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$28.7K

$117.2K

$176.2K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for artificial intelligence machine learning engineer in Utah is $117,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,400.00 and $141,100.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.
What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Utah? For Artificial Intelligence Machine Learning Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Utah look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Utah are:
What cities in Utah are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities in Utah with the most Artificial Intelligence Machine Learning Engineer job openings:
Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 57% Full Time, 29% Part Time, 1% Temporary, and 12% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $117,228 per year, or $56.4 per hour.

Artificial Intelligence (AI) / Machine Learning (ML) Engineers

University of Utah

Salt Lake City, UT • Hybrid

$90K - $135K/yr

Full-time

Retirement

Posted 17 days ago

University Of Utah rating

7.2

Company rating: 7.2 out of 10

Based on 159 frontline employees who took The Breakroom Quiz

383rd of 617 rated colleges and universities

Job description

Details
Open Date 07/23/2026 Requisition Number PRN45731B Job Title Artificial Intelligence (AI) / Machine Learning (ML) Engineers Working Title AI Engineer Career Progression Track P00 Track Level P4 - Advanced, P3 - Career FLSA Code Computer Employee Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary
Work Schedule
Full-time, 40 hours per week. Monday through Friday from 8:00 am to 5:00 pm.
Work Location & Residency
This position offers a flexible, mostly remote work schedule for candidates who reside along the Wasatch Front. While most duties can be performed remotely, the employee must be available to attend essential meetings and events on campus as needed.
Work Profile
Hybrid Work
A hybrid telework schedule is available for this position, dependent on operational needs and management approval. The arrangement will be established in partnership with the manager and is subject to ongoing departmental needs.
Travel:
This position may require occasional travel.
VP Area U of U Health - Academics Department 02228 - Data Coordinating Center Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range $90,188 to $135,601 Close Date 10/23/2026 Priority Review Date (Note - Posting may close at any time) Job Summary
Artificial Intelligence (AI) / Machine Learning (ML) Engineers
The Utah Data Coordinating Center (DCC) is seeking an experienced AI Engineer to design, build, and operate secure, scalable AI-enabled research platforms. This role sits at the intersection of machine learning, cloud infrastructure, and regulated research environments, supporting national and international research programs. You will work closely with research IT leadership, data engineers, security teams, and external partners to operationalize AI workflows while maintaining strong governance, security, and compliance standards. This is a hands-on engineering role for someone who enjoys building real systems, not prototypes that live on slides. This position will report to the Sr. Supervisor, IT.

Essential Functions:
  • Design and deliver end-to-end hybrid data and AI solutions
    Collaborate with data scientists, engineers, and business stakeholders to design, build, test, deploy, and support scalable data pipelines and AI/ML models across hybrid cloud and on-premises environments. Deliver reliable, production-ready solutions aligned with organizational strategy and enterprise architecture standards.
  • Operationalize machine learning systems using modern MLOps practices
    Partner with cross-functional teams to deploy, monitor, and manage ML models through CI/CD pipelines, model versioning, experiment tracking, automated testing, and lifecycle management frameworks. Support both batch and real-time inference workloads while ensuring reliability, scalability, and maintainability.
  • Build and maintain secure, scalable infrastructure across hybrid environments
    Implement containerized and cloud-native solutions using Docker and orchestration platforms (e.g., Kubernetes) to support data and AI workloads. Apply infrastructure-as-code (IaC) and automation practices to enable reproducibility, scalability, and operational efficiency across on-premises and cloud systems.
  • Ensure secure, compliant, and governed data and AI systems
    Collaborate with security and compliance teams to implement role-based access controls, encryption, network security controls, and audit logging across environments. Align architectures with regulatory frameworks (e.g., HIPAA, NIST, FISMA) and enterprise governance standards while promoting responsible AI practices.
  • Translate business requirements into scalable technical architectures
    Engage with stakeholders to understand strategic objectives and convert them into robust data architectures, algorithms, and automation workflows. Promote shared ownership of solutions, ensuring alignment with long-term sustainability, performance expectations, and enterprise standards.
  • Monitor, optimize, and sustain production systems
    Implement monitoring, logging, and alerting frameworks to track data pipeline health, model performance, data drift, system reliability, and cost efficiency. Apply performance tuning, reliability engineering, and continuous improvement practices to maintain operational excellence.
  • Communicate technical designs and analytical insights clearly
    Document system architectures, data flows, AI workflows, and operational procedures. Present complex technical concepts and model outcomes to both technical and non-technical stakeholders in a clear and actionable manner.
  • Advance engineering excellence and innovation
    Stay current with emerging technologies in data engineering, cloud computing, and applied AI. Evaluate and adopt new tools and methodologies that improve automation, scalability, security, and organizational impact while adhering to best practices and architectural standards.

To learn more about the Utah DCC visit http://uofuhealth.org/UtahDCC
This position is not eligible for work visa sponsorship.

The University of Utah offers a comprehensive benefits package. You can learn more about the great benefits of working for the University of Utah at: benefits.utah.edu
The department may choose to hire at any of the below job levels and associated pay rates based on their business need and budget.
Responsibilities
Artificial Intelligence (AI) / Machine Learning (ML) Engineer
Research, design, develop, test, and support artificial intelligence (AI) and machine learning (ML) frameworks and models. Leverage AI/ML techniques to answer business questions, support business strategies, and deliver valuable quantitative insights to improve products. Develop sophisticated algorithms to automate processes and tasks. Collaborate with internal stakeholders to understand business and technical needs. Code and develop software that deploys ML models and algorithms into production. Communicate and present complex analytics results and concepts to leadership and internal stakeholders. Employ AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR). Remain up to speed on cutting edge research for AI technology and concepts.
Artificial Intelligence (AI) / Machine Learning (ML) Engineer, III
Considered highly skilled and proficient in discipline. Conducts complex, important work under minimal supervision and with wide latitude for independent judgment.
Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience.
This is a Career-Level position in the General Professional track.

Expected Pay Range: $90,188 to $123,274

Artificial Intelligence (AI) / Machine Learning (ML) Engineer, IV
Recognized as subject matter expert and advanced individual contributor professional. Requires specialized skill set. Conducts highly complex work, unsupervised and with extensive latitude for independent judgment.
Requires a bachelor's (or equivalency) + 8 years or a master's (or equivalency) + 6 years of directly related work experience.
This is an Advanced-Level position in the General Professional track.

Expected Pay Range: $99,587 to $135,601
Minimum Qualifications
EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor's degree = 4 years of directly related work experience).

Department may hire employee at one of the following job levels:

Artificial Intelligence (AI) / Machine Learning (ML) Engineer, III: Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience.

Artificial Intelligence (AI) / Machine Learning (ML) Engineer, IV: Requires a bachelor's (or equivalency) + 8 years or a master's (or equivalency) + 6 years of directly related work experience.


Preferences
  • Experience with MLOps platforms or custom ML deployment pipelines
  • Familiarity with vector databases, embeddings, or RAG-based systems
  • Experience supporting clinical research, biomedical data, or sensitive datasets
  • Familiarity with compliance-driven environments (FISMA Moderate/High, HITRUST, etc.)
  • Experience working in academic or research institutions
  • Strong experience with Python and modern ML/AI tooling
  • Hands-on experience with AWS (or comparable cloud platforms)
  • Experience building and operating CI/CD pipelines
  • Proficiency with Docker and container-based workflows
  • Experience supporting data-intensive or research computing environments
  • Strong understanding of security best practices in regulated environments
  • Ability to work independently and communicate clearly with both technical and non-technical stakeholders
Applicants will be screened according to preferences.
Type Benefited Staff Special Instructions Summary Additional Information
The University is a participating employer with Utah Retirement Systems ("URS"). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS' post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.
Veterans' preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at the: University of Utah NonDiscrimination page.
Online reports may be submitted at https://oeo.utah.edu

https://publicsafety.utah.edu/safetyreport/ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.
As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members, a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful co...

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About University of Utah

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The University of Utah is the state’s flagship institution of higher education, with 18 schools and colleges, more than 100 undergraduate majors and graduate programs, and an enrollment of more than 38,000 students. It is a member of the Association of American Universities—an invitation-only, prestigious group of 71 leading research institutions. The U is advancing a new national model for higher education that delivers societal impact through education, research, health care, and community service, while making social, economic, and cultural contributions that improve lives across Utah and around the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Salt Lake City, UT, US

Year founded

1850

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