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

Trilon

Senior Professional Engineer - Drainage

Saint George, UT · On-site

$98K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Professional Engineer for Drainage, you will have the opportunity to be involved in large, multi-discipline projects while developing diverse skill sets. * Perform and direct a variety of ...

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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 Aug 19, 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.

What is a machine learning engineer?

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 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 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.

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 August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $121,495 per year, or $58.4 per hour.

Senior Professional Engineer - Drainage

Trilon

Saint George, UT • On-site

$98K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago

Job description

Unmatched Comp Time Policy: Hours worked over 40 in a week are paid at the usual hourly rate or can be banked as additional PTO. 
 
At Horrocks, we believe the best work comes from companies with values, that our people are our greatest resource, and that we have a responsibility to the communities where we live and work. As a Professional Engineer for Drainage, you will have the opportunity to be involved in large, multi-discipline projects while developing diverse skill sets.
  • Perform and direct a variety of hydrology and hydraulic design work for DOT projects (i.e., bridges, roadways, highways, freeways, etc.)
  • Prepare studies, reports, plans, specifications, and cost estimates for a variety of transportation projects
  • Work within a team of project managers, design engineers, technicians, and support staff to successfully complete a variety of projects
  • Interface with clients including state and local agencies 
  • Coordinate and conduct meetings with project stakeholders 
  • Coordinate with office management and other project managers to share resources 
  • Assist in proposal preparation including oral presentations.
  • Prepare the scope, schedule, and budget for new projects 
  • Ability to meet project deadlines
  • Undergraduate or graduate degree from an accredited program in civil engineering
  • Registered Professional Engineer (PE) required  
  • 8-12 years of hydraulics design experience including: 
    • Design of roadway drainage and flood control facilities 
    • Design of erosion control and stormwater treatment facilities 
  • Experience and relationships with transportation and flood control agencies are preferred
  • Experience with MicroStation and OpenRoads Designer (ORD)
  • Expertise in hydrologic and hydraulic software, including ORD Drainage and Utilities, StormCAD, PondPack, HEC-HMS HEC-RAS, etc. 
  • Working knowledge of DOT, AASHTO, and FHWA highway drainage design criteria and guidelines
  • Strong verbal, and written communication skills
  • Ability to interact with clients and multi-discipline team members
  • Willingness to work on projects locally or workshare with other offices 
  • History of meeting project deadlines and budgets 
  • Outstanding interpersonal and customer service skills 
  • Strong organizational skills and attention to detail 
  • Experience in managing technical staff and project teams is desirable  
  • Ability to manage concurrent projects 
At Horrocks, you can expect a competitive base salary and award-winning benefits. Including, but not limited to:
  • Medical, dental, vision, life, and disability insurance
  • Generous paid time off
  • 401(k): 50% match of contribution up to 6%
  • Professional development opportunities including in-house training
  • Paid professional organization membership and professional licensure
For more information, visit our website at www.horrocks.com
Equal Opportunity Employer including disability and protected veteran status

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