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Machine Learning Engineer Jobs in St George, UT (NOW HIRING)

beatBread

AI Engineer

Saint George, UT

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

$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 ...

DataAnnotation

SDLC Engineer - AI Trainer

Saint George, UT · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

QA Engineer - AI Trainer

Saint George, UT · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Wilson Connectivity

Software Engineer

Saint George, UT · On-site

Position Summary The Software Engineer will assist with the development and maintenance of complex, multi-tiered application software systems. Participates in all phases of software engineering ...

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Showing results 1-20

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in St. George, UT

Machine Learning Engineer information

See St George, UT salary details

$29.7K

$121.5K

$182.6K

How much do machine learning engineer jobs pay per year?

As of Jun 22, 2026, the average yearly pay for machine learning engineer in St. George, UT is $121,495.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $146,200.00 per year, depending on experience, location, and employer.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

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-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies 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 they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

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 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 cities near St. George, UT are hiring for Machine Learning Engineer jobs? Cities near St. George, UT with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in St. George, UT as of June 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $121,495 per year, or $58.4 per hour.

Controls Engineer II

Medical Manufacturing Technologies LLC

Saint George, UT • On-site

$74K - $96K/yr

Full-time

Posted 20 days ago

Job description

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.

Requirements: