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Machine Learning Engineer Hybrid Jobs in Utah (NOW HIRING)

Sr. Data Engineer

Draper, UT

$107K - $128K/yr

This is a Utah-based hybrid position which will require some regular in-office days each week ... Design, build, and operationalize machine learning pipelines for training, validation, deployment ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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Machine Learning Engineer Hybrid information

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

AspectMachine Learning Engineer HybridData Scientist
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops, tests, deploys ML models; collaborates with engineering teamsAnalyzes data, builds models, interprets results; works across departments
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

Machine Learning Engineer Hybrid focuses on developing and deploying ML models within engineering environments, often requiring coding and deployment skills. Data Scientists analyze data, build models, and interpret results, often in research or strategic roles. While both roles require strong analytical skills and knowledge of ML, the Engineer Hybrid emphasizes deployment and integration, whereas Data Scientists focus on data analysis and insights.

What cities in Utah are hiring for Machine Learning Engineer Hybrid jobs? Cities in Utah with the most Machine Learning Engineer Hybrid job openings:

$74K - $96K/yr

Other

This job post has expired today. Applications are no longer accepted.


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.