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Machine Learning Engineer Jobs in Tooele, UT (NOW HIRING)

A Machine Learning Engineer helps our learners discover content that is relevant to their interests and goals, providing them with experiences tailored just to their needs, and ensure they are ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Sr. Applied AI Engineer

Salt Lake City, UT ยท On-site

$101K - $138K/yr

AWS Certified Machine Learning Engineer - Associate or equivalent * Cloud AI infrastructure management using AWS services and Terraform * AI observability experience with OpenTelemetry, Langfuse, or ...

Sr. Applied AI Engineer

Salt Lake City, UT

$101K - $138K/yr

AWS Certified Machine Learning Engineer - Associate or equivalent * Cloud AI infrastructure management using AWS services and Terraform * AI observability experience with OpenTelemetry, Langfuse, or ...

AI Engineer

Salt Lake City, UT ยท On-site

$55K - $187K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...

AI Engineer

Salt Lake City, UT ยท On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

Data Scientists

Salt Lake City, UT ยท On-site

$75K - $105K/yr

Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make ...

AI Solutions Engineering Delivery Lead

Salt Lake City, UT ยท On-site

$99K - $130K/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 ...

CTIO AI Engineering Manager

Salt Lake City, UT ยท 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 ...

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Machine Learning Engineer information

See Tooele, UT salary details

$29.6K

$120.9K

$181.7K

How much do machine learning engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for machine learning engineer in Tooele, UT is $120,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,300.00 and $145,500.00 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 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 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.

What cities near Tooele, UT are hiring for Machine Learning Engineer jobs? Cities near Tooele, UT with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Tooele, UT as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $120,895 per year, or $58.1 per hour.

Machine Learning Engineer

Pluralsight, LLC

Draper, UT โ€ข On-site

$160K/yr

Other

Medical, PTO

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


Job description

Job Description:

A Machine Learning Engineer helps our learners discover content that is relevant to their interests and goals, providing them with experiences tailored just to their needs, and ensure they are receiving the right communication and assistance with their journey at the right time. They develop robust, scalable production machine learning algorithms and recommendation systems.

Who you're committed to being:

  • You enjoy learning and are open to new ways of doing things.

  • You are not afraid to be yourself, experiment, make mistakes and learn from them, ask questions, or voice your concerns.

  • When communicating you are self-aware, insightful, and proactive.

What you'll do:

  • Work closely with Data Scientists to take prototype algorithms and models and turn them into customer-facing solutions

  • Build solutions to novel problems in software development, data engineering, and machine learning

  • Build data pipelines; transform and convert data streams into structures needed for algorithm input

  • Collaborate with Product Managers and UX Designers to better understand the customer, provide valuable input into functional design and usability

  • Evaluate the efficiency of user experiences and ML algorithms, determining what data is needed and how to collect it, with an understanding of how these metrics are connected with the desired outcomes

Experience you'll bring:

  • Experience building production machine learning systems services as part of a product development team

  • Experience in Python, TensorFlow, and proficiency in data structures and database fundamentals

  • Experience building good code with speed and efficiency and balancing the trade-offs of quality vs speed

  • Ability to explain machine learning solutions to developers and other team members, regardless of their technical background

  • Experience working with continuous integration and delivery

  • Familiarity with cloud platforms and deploying ML models as scalable services

  • Experience with containerization and orchestration tools such as Docker and Kubernetes

  • Knowledge of software design patterns and best practices, including RESTful API design

  • Ideal experience in using machine learning in the context of recommendations and/or personalization.

  • Experience with Node and Typescript preferred

Requirements:

  • Requires a minimum of 5 years of related or equivalent experience; or 3+ years with an advanced degree

  • This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX office should expect to work on-site Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This approach enables more effective collaboration, quicker decision-making, and a stronger culture, while still providing flexibility.

Why you'll love working here:

  • We work in a blended environment that supports collaboration, flexibility, and connection across teams.

  • We are mission-driven, shaping the future of tech upskillling and delivering impact that matters.

  • We foster a culture of inclusion and belonging, where everyone can contribute and thrive.

  • We are always learning, creating an environment where you can take on new challenges, expand your skills, and grow with purpose.

  • Benefits include competitive compensation, bonus eligibility, comprehensive medical coverage, unlimited PTO, wellness reimbursement, professional development funds, and more.

About us:

Pluralsight provides the only learning platform dedicated to accelerating the technology skills and capabilities of today's tech workforce. Thousands of companies, government organizations and individuals around the world rely on Pluralsight to support critical technology skill development in areas that are crucial to innovation including artificial intelligence, cloud computing, cybersecurity, software development, and machine learning. We offer highly curated content developed by vetted technology experts, industry leading skill assessments, and hands on, immersive learning experiences designed to help individuals skill-up faster.

Physical Requirements:

This role is primarily performed in an office or home office setting and involves standard computer-based work.

EEOC & Accommodations Statement:

Bring yourself. Pluralsight is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or veteran status. We also consider qualified applicants with criminal histories, consistent with EEOC guidelines and local laws.

If you need an accommodation to apply, interview, or perform essential job functions, please visit the bottom of our website to learn how to request an accommodation. Learn more about our commitment to diversity, equity, inclusion, and belonging in our DEIB Report.

Pay Transparency:

The annual US base salary range for this role is $121,600 - $160,000 USD. Actual compensation will depend on location, skills, experience, and other factors. Additional benefits and bonuses may apply.

Applications must be submitted within 90 days after the initial posting date to be considered.

Recruiting Scam Notice:

Please be aware of recruiting scams. We'll only contact you from an @pluralsight.com email or verified channels. We never ask for sensitive personal info or payments as part of the hiring process. All openings are posted on our Careers page.

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