ZipRecruiter

Log In

1

Machine Learning Engineer Opt Jobs in Bountiful, UT

Pwc

NGA AI Engineer Manager

Salt Lake City, UT · On-site

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

US Tech - AI Engineering Senior Associate

Salt Lake City, UT · On-site

$55K - $187K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Smule

Director of Engineering

Salt Lake City, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

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

iNovex Information Systems

Data Scientist 2

Ogden, UT · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Job Brief Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe ...

Enterprise Technology Operations

AI Engineer

Midvale, UT · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machine learning techniques. This is an exciting opportunity to make a significant impact within ... CPT, OPT) but would need H-1B visa sponsorship within a few years of employment in order to ...

Zions Bank

AI Engineer

Midvale, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machine learning techniques. This is an exciting opportunity to make a significant impact within ... CPT, OPT) but would need H-1B visa sponsorship within a few years of employment in order to ...

Zions Bancorporation

AI Engineer

Midvale, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machine learning techniques. This is an exciting opportunity to make a significant impact within ... CPT, OPT) but would need H-1B visa sponsorship within a few years of employment in order to ...

Zions Bancorporation, N.A.

AI Engineer

Midvale, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machine learning techniques. This is an exciting opportunity to make a significant impact within ... CPT, OPT) but would need H-1B visa sponsorship within a few years of employment in order to ...

previous page

Showing results 41-60

All JobsMachine Learning Engineer Opt JobsMachine Learning Engineer Opt Jobs in Bountiful, UT

Machine Learning Engineer Opt information

See Bountiful, UT salary details

$29.7K

$121.4K

$182.4K

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

As of Aug 19, 2026, the average yearly pay for machine learning engineer opt in Bountiful, UT is $121,387.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,700.00 and $146,100.00 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 into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

What are some common challenges machine learning engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.

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 a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

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

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What are popular job titles related to Machine Learning Engineer Opt jobs in Bountiful, UT?

For Machine Learning Engineer Opt jobs in Bountiful, UT, the most frequently searched job titles are:

What cities near Bountiful, UT are hiring for Machine Learning Engineer Opt jobs?

Cities near Bountiful, UT with the most Machine Learning Engineer Opt job openings:

Machine Learning Engineer Opt jobs near you

Data Scientists

The Chronicle Of Higher Education, Inc.

Salt Lake City, UT • On-site

$75 - $105/hr

Other

Posted 4 days ago

Job description

Data Scientists Job Summary

Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of product experiments. Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.

Learn more about the great benefits of working for University of Utah: benefits.utah.edu

The department may choose to hire at any of the below joblevels and associated pay rates based on their business need and budget.

Responsibilities Data Scientist, I

Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of product experiments. Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation. Requires basic skill set and proficiency. Conducts work assignments as directed. Closely supervised with little latitude for independent judgment. Requires a bachelor's (or equivalency) + 2 years of directly related work experience or a master's (or equivalency) degree. This is an Entry-Level position in the General Professional track. Job Code: P33861 Grade: P16

Data Scientist, II

Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of product experiments. Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation. Requires moderate skill set and proficiency in discipline. Conducts work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment. Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience. This is a Developing-Level position in the General Professional track. Job Code: P33862 Grade: P18

Data Scientist, III

Considered highly skilled and proficient in discipline. Conducts complex, important work under minimal supervision and with wide latitude for independent judgment. Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience. This is a Career-Level position in the General Professional track. Job Code: P33863 Grade: P20

Minimum Qualifications

EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor's degree = 4 years of directly related work experience).

Department may hire employee at one of the following job levels:

Data Scientist, I: Requires a bachelor's (or equivalency) + 2 years of directly related work experience or a master's (or equivalency) degree.

Data Scientist, II: Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience.

Data Scientist, III: Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience.

Preferences

Master's Degree Preferred.

Requisition

Requisition Number: PRN45737B

Full Time or Part Time? Full Time

Work Schedule Summary:

Department: 00847 - Hematology

Location: Campus

Pay Rate Range: 75,000 - 105,000

Close Date: 10/31/2026

Open Until Filled:

#J-18808-Ljbffr

Apply