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Machine Learning Engineer Jobs in Utah (NOW HIRING)

Mariana Minerals

Extractive Metallurgist

Moab, UT · On-site

$100K - $160K/yr

You'll work closely with operations, engineers, machine learning experts, and data scientists to develop innovative solutions that improve efficiency, recovery, and throughput across our projects.

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 ... Collaborating closely with cross-functional teams, you will develop and optimize machine learning ...

beatBread

AI Engineer

Saint George, UT · On-site

About The Role As an AI Engineer, you will design, build, and deploy sophisticated AI solutions ... Collaborating closely with cross-functional teams, you will develop and optimize machine learning ...

Pwc

CTIO AI Engineering Manager

Salt Lake City, UT · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

NGA AI Engineer Manager

Salt Lake City, UT · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

As an AI Infrastructure Engineer IV , you will play a critical role in designing, building, and maintaining the systems that power our AI and machine learning capabilities. You will ensure our ...

Pwc

NGA AI Engineer Senior Manager

Salt Lake City, UT · On-site

$91K - $321K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

As an AI Infrastructure Engineer IV , you will play a critical role in designing, building, and maintaining the systems that power our AI and machine learning capabilities. You will ensure our ...

BambooHR

Sr. Data Engineer

Draper, UT · On-site

$107K - $128K/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 ...

Smule

Director of Engineering

Salt Lake City, UT · On-site

Drive Smules AI-first engineering practices by embedding AI-assisted development, automation, machine learning/deep learning systems, and modern developer productivity tools into daily engineering ...

Waystar

Sr. Data Scientist

Lehi, UT · On-site

Responsibilities : • Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems ...

Pluralsight, LLC

Staff Data Scientist

Draper, UT · On-site

S.) in Computer Science, Statistics, Mathematics, Engineering, or a related field. * 7+ years of experience in data science, applied AI, or machine learning, with a proven track record of delivering ...

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Showing results 1-20

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Utah

Machine Learning Engineer information

See Utah salary details

$28.7K

$117.2K

$176.2K

How much do machine learning engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for 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 engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

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

More about Machine Learning Engineer jobs
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 Machine Learning Engineer jobs in Utah? For Machine Learning Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Utah look for? The top searched job categories for Machine Learning Engineer jobs in Utah are:
What cities in Utah are hiring for Machine Learning Engineer jobs? Cities in Utah with the most Machine Learning Engineer job openings:
What are popular job titles related to Machine Learning Engineer jobs in UT? For Machine Learning Engineer jobs in UT, the most frequently searched job titles are:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Utah as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $117,228 per year, or $56.4 per hour.

Controls Engineer II

Medical Manufacturing Technologies

Saint George, UT • On-site

$74K - $96K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Type
Full-time
Description
Controls Engineer II
Location: St. George, UT
Travel: Up to 50% during the first 6 months, then approximately 20% thereafter
Employment Type: Full-Time
Join MMT and Help Build the Future of Automation
At MMT, we design and build innovative automation systems, custom machinery, material handling solutions, and advanced manufacturing technologies used by customers around the world. We are seeking a talented Controls Engineer II to join our St. George team and play a key role in developing next-generation automation solutions.
This is an exciting opportunity for an experienced controls engineer who enjoys solving complex technical challenges, working directly with customers, and contributing to cutting-edge technologies, including machine vision, robotics, and emerging machine learning applications.
What You'll Do
  • Develop, test, and deploy PLC and IPC control software across multiple platforms, including CODESYS and Windows-based industrial PCs.
  • Create and maintain programming standards, reusable code libraries, and version control practices.
  • Design and implement custom software solutions for customer applications.
  • Support machine commissioning, troubleshooting, optimization, and customer installations.
  • Integrate machine controls, motion systems, sensors, vision systems, and electrical components.
  • Collaborate with mechanical engineering teams to improve equipment performance and manufacturability.
  • Assist with technology transfers, acquisitions, FAT/SAT activities, and documentation development.
  • Contribute to data collection initiatives and emerging machine learning applications.
  • Develop functional specifications, risk assessments, test plans, and training materials.

What We're Looking For
Required Qualifications
  • Bachelor's degree in Controls Engineering, Electrical Engineering, Mechanical Engineering, or related field.
  • 5+ years of hands-on controls engineering experience in industrial automation.
  • Strong PLC programming experience across multiple platforms and vendors.
  • Experience with CODESYS and Windows-based industrial PCs (IPCs).
  • Knowledge of machine controls integration, electrical systems, sensors, motion control, and automation equipment.
  • Proficiency with SolidWorks and SolidWorks Electrical.
  • Strong troubleshooting, problem-solving, and communication skill

Preferred Qualifications
  • Experience with laser-based systems.
  • Python programming experience.
  • Robot programming experience.
  • Experience with machine vision or inspection systems.
  • Lean manufacturing and process improvement experience.
  • Customer-facing project experience.

Why Join MMT?
Work on innovative automation and machine design projects. Collaborate with a highly skilled engineering team.
Gain exposure to advanced manufacturing technologies, robotics, vision systems, and machine learning applications.
Travel to customer sites and see your solutions in action.
Make a direct impact on the development of industry-leading equipment and processes.
Medical Manufacturing Technologies (MMT) is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under applicable law.
MMT is committed to providing reasonable accommodations to qualified individuals with disabilities. If you need assistance or accommodation during the application or interview process, please contact us.
MMT participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the United States.

Apply