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

Bespoke Labs

Machine Learning Engineer

West Jordan, UT · On-site

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

OC Tanner

Sr. Applied AI Engineer

Salt Lake City, UT · 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 ...

Octanner

Sr. Applied AI Engineer

Salt Lake City, UT · 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 ...

Pwc

AI Engineer

Salt Lake City, UT · 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 ...

Pwc

AI Engineer

Salt Lake City, UT · 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 ...

University of Utah

Data Scientists

Salt Lake City, UT · 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 ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Tooele, UT

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 Sep 14, 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 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 Tooele, UT are hiring for Machine Learning Engineer jobs?

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

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Tooele, UT as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $120,895 per year, or $58.1 per hour.

Machine Learning Engineer

Salt Lake City, UT • On-site

Extra Space
See more jobs at Extra Spaceexternal

Full-time

Posted 24 days ago

Job description

*** Please note that this position is HYBRID, requiring this person to work onsite at our Cottonwood Heights corporate office in Salt Lake City, UT three days a week ***
Job Summary
Responsible to build and deploy advanced analytics systems into production. Responsible for maintaining the environments and software for ongoing maintenance of these systems. Familiar with database structures, statistical modelling, software engineering best practices, and the latest developments in generative AI.
Duties & Responsibilities
Builds and deploys scalable analytical systems.
Develops data science proof-of-concept models into production-ready applications. Follows industry standard principles on software development.
Builds data science applications related to text-based search, and audio & video recordings.
Uses statistical modeling or A/B testing approaches to evaluate algorithmic improvements to model.
Executes on technical roadmap for data science products.
Performs systems analysis, interprets the findings from it and explains the finding to business audience to improve products such as revenue management system, and paid search bidding system.
Documents assigned aspects of projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics.
Develop and optimize prompts for large language models (LLMs), evaluate and fine-tune AI models to achieve desired outcomes for specific business applications.
Collaborate with various teams to integrate and test data science and AI applications.
Qualifications
A Master's Degree in computer science, data science, mathematics, statistics, finance, economics, or other engineering
Requires 3+ years' experience in deploying advanced analytics solutions to drive business outcomes.
Competencies
Proven analytical skills with data driven decision-making skills.
Ability to manage large data sets, develop data pipelines.
SQL programming skills. Python or R programming skills.
Knowledge of vector databases, embedding models, LLM endpoints.
Team player with excellent collaboration skills.
Highly motivated and high level of energy and enthusiasm.
Prior experience with cloud technologies will be a plus.
Work Environment & Physical Requirements
Performs sedentary work in an office environment with limited lifting (less than 10 pounds) or walking required. Close visual acuity required to perform work at computer terminal. No exposure to adverse environmental conditions. Requires repetitive typing motion, talking, hearing, grasping and feeling.
Disclaimer
The job description outlines the general nature and scope of work employees perform in this role. It's not intended to be an exhaustive list of all duties, responsibilities, or qualifications required for the position. The company reserves the right to modify, revise, or update the job description to meet business needs.

If you are a current Extra Space employee, please apply through Jobs Hub in Workday.

We are anequal opportunityemployer andvalue diversityat our company. Wedo not discriminateon the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Applications Deadline: Applications will be accepted until the position is filled.

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