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Senior Machine Learning Engineer Jobs in Utah (NOW HIRING)

Pwc

NGA AI Engineer Senior Manager

Salt Lake City, UT

$91K - $321.50K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a Senior Manager you will serve as a strategic advisor, leveraging your knowledge to guide large ...

Pwc

CTIO-AI Engineer-Sr Associate

Salt Lake City, UT · On-site

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a Senior Associate, you will analyze complex problems, mentor junior team members, and maintain ...

nCino

Senior Data Scientist

Lehi, UT · On-site

$107.90K - $183.40K/yr

As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify ... programming languages * Proficient creating machine learning, predictive modeling, and advanced ...

nCino OpCo

Senior Data Scientist

Lehi, UT

$107.90K - $183.40K/yr

As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify ... programming languages * Proficient creating machine learning, predictive modeling, and advanced ...

BambooHR

Sr. Data Engineer

Draper, UT

$107K - $128.50K/yr

Essential Job Duties As a Senior Data Engineer, you will play a key role in designing, building ... Design, build, and operationalize machine learning pipelines for training, validation, deployment ...

Tendo

Senior Data Scientist

Salt Lake City, UT · On-site

$110.50K - $149.50K/yr

The Senior Data Scientist will support Tendo analytics projects focused on quality management and ... Knowledge of a variety of traditional machine learning techniques such as: feature engineering ...

Tendo

Senior Data Scientist

Salt Lake City, UT · On-site +1

$110.50K - $149.50K/yr

The Senior Data Scientist will support Tendo analytics projects focused on quality management and ... Knowledge of a variety of traditional machine learning techniques such as: feature engineering ...

KēSTA I.T.

Sr. Data Scientist

Lehi, UT

$150K - $185K/yr

KēSTA I.T. is actively seeking multiple Senior Data Scientists for an immediate permanent need ... engineering, product, and operational stakeholders to design, test, and deploy machine learning and ...

Adobe

Senior Software Engineer

Lehi, UT · On-site

$115K - $151.60K/yr

Adobe is seeking a Senior Software Engineer to take on a key technical leadership role in one of ... AI or machine learning in real products, including prompt design, model integration, or working ...

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Senior Machine Learning Engineer information

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$54.2K

$115.2K

$167.1K

How much do senior machine learning engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for senior machine learning engineer in Utah is $115,214.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $130,600.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Utah? The most popular types of Machine Learning Engineer jobs in Utah are:
What are popular job titles related to Senior Machine Learning Engineer jobs in Utah? For Senior Machine Learning Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in Utah look for? The top searched job categories for Senior Machine Learning Engineer jobs in Utah are:
What cities in Utah are hiring for Senior Machine Learning Engineer jobs? Cities in Utah with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you
Artificial Intelligence (AI) / Machine Learning (ML) Engineers

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

University of Utah

Salt Lake City, UT

Full-time

Retirement

Posted 10 days ago

University Of Utah rating

7.2

Company rating: 7.2 out of 10

Based on 157 frontline employees who took The Breakroom Quiz

327th of 529 rated colleges and universities

Job description

Details
Open Date 05/19/2026 Requisition Number PRN45104B 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
Monday - Friday 8am-5pm.
VP Area Academic Affairs Department 00810 - Scient Comp & Imag Instit-Oper Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range 100,000-135,000 Close Date 08/19/2026 Priority Review Date (Note - Posting may close at any time) Job Summary
The AI Engineers Program is a core component of Utah RAISE (Research & AI Infrastructure for a Statewide Ecosystem) and the broader University of Utah AI ecosystem. The program provides applied AI engineering expertise to complement the shared computing infrastructure to enable researchers, educators, and administrators at the U to adopt responsible and scalable AI adoption.
We are hiring a cohort of AI Engineers who can support design, development, and deployment of prototype to production-grade AI solutions for well-scoped and high-impact use cases. This cohort will focus on application-level work: model fine-tuning and adaptation, retrieval-augmented generation pipelines, agentic systems, and production-oriented ML engineering, and will help build durable, inhouse capacity to support teaching, research, and innovation across the university.
The AI Engineers Program will be administered by the SCI Institute in coordination with the Office of Artificial Intelligence and the One-U Responsible AI Initiative to serve the broader University of Utah community and beyond.
Responsibilities
  • Accelerate responsible AI integration across teaching and research, helping faculty and students move from ideas to production ready tools and prototypes.
  • Support rapid experimentation, prototyping, and implementation, which is increasingly critical given how quickly AI technologies are evolving.
  • Build and maintain shared tools, frameworks, and pipelines that can be reused across colleges and initiatives, reducing duplication and dependence on external vendors.
  • Help operationalize governance, privacy, and security expectations by embedding them directly into AI solutions.
  • Act as force multipliers, upskilling internal teams and supporting interdisciplinary collaboration.
  • Collaborate with faculty, researchers, and other institutional partners to scope projects and define technical approaches.
  • Provide mentorship and technical guidance to senior undergraduate and MS students in AI technologies and application development.
  • Contribute to open-source software and promote reproducible research practices, helping to foster a culture of transparency and reuse across campus.
  • Design and deliver workshops, training sessions, and educational materials on AI tools and methods.

Provide technical consulting to the campus community through structured office hours and project-based engagements.
Minimum Qualifications
  • Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience. Assumes work equivalency (1 year of higher education can be substituted for 1 year of directly related work experience).
  • Professional experience working in technical roles involving complex softwarebased systems, research computing environments, or datadriven applications, with responsibilities beyond routine execution.
  • Evidence of applying advanced technical concepts independently, including systems design, problem decomposition, and implementation choices, in environments with incomplete or evolving requirements.
  • Demonstrated experience collaborating with nonpeer stakeholders (e.g., researchers, faculty, clients, domain experts, or organizational partners) to translate needs or ideas into technical work.
  • Professional experience operating in environments requiring judgment, discretion, and ethical or policy awareness, such as academic, research, healthcare, government, regulated industry, or similarly constrained settings.
  • Prior experience guiding or supporting others' technical work, such as mentoring, advising, leading technical components of projects, or providing consultative support.

Demonstrated ability to communicate technical work clearly in written and verbal form to audiences with varying levels of technical expertise.
Preferences
  • Demonstrated ability to effectively collaborate with researchers and stakeholders across disciplines and levels of technical expertise.
  • Experience in one or more relevant technical domains supporting applied AI development, such as machine learning systems engineering, LLM/GenAI application development, software engineering (e.g., Python, C++, JavaScript), cloud computing, distributed systems, or full-stack development
  • Broad familiarity with AI and research computing and data practices, with the ability to apply sound technical judgment to design, build, and deploy projects with a high degree of independence and creativity.
  • Ability to identify collaboration opportunities and initiatives that would benefit from applied AI integration and partnership with SCI and related programs.
  • Demonstrated experience developing and applying AI/ML techniques (e.g., model training and fine-tuning, large language models, retrieval-augmented generation, or scalable ML systems) in research, scientific, or production-oriented contexts.

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 completion of the probationary period.

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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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