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

Nav

Software Engineer

Draper, UT

... machine learning, and advanced programming algorithms; experience with computer networks, including network architecture, protocols, systems, and cloud networking concepts; experience with software ...

Nav

Software Engineer

Draper, UT · On-site

... machine learning, and advanced programming algorithms; experience with computer networks, including network architecture, protocols, systems, and cloud networking concepts; experience with software ...

Nav

Software Engineer

Draper, UT · On-site

... machine learning, and advanced programming algorithms; experience with computer networks, including network architecture, protocols, systems, and cloud networking concepts; experience with software ...

Brex

Brex Rotational Program

Salt Lake City, UT · Hybrid

$58K - $66K/yr

Major, minor, or coursework in a field relevant to AI and data, such as Computer Science, Data Science, Statistics, Machine Learning, Information Systems, or other Engineering. * Basic knowledge or ...

Arturo

Senior Data Engineer

South Jordan, UT · On-site

$100K - $137K/yr

Familiarity with machine learning concepts * Familiarity with asynchronous programming Benefits Key competencies at Arturo: * Willingness to learn - You have an insatiable desire to continue growing ...

KēSTA I.T.

Data Engineer

Draper, UT

$100K - $114K/yr

... and machine learning * Identify and evaluate external data sources, and develop strategies to ... Programming experience in languages such as Python, Scala, Java, or similar (Python preferred)

DataAnnotation

SDLC Engineer - AI Trainer

West Jordan, UT · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

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Showing results 1-20

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 Jun 23, 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.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

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.

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 June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $120,895 per year, or $58.1 per hour.
Software Engineer

Software Engineer

Nav

Draper, UT

Full-time

Posted 23 days ago

Job description

Nav is the leading credit and financial health platform used by more than 2.4 million small business owners in the United States.

We're on a mission to give every small business owner the chance to succeed. The team views each day as an opportunity to challenge the norm, push boundaries, and create meaningful products, services, and experiences that make a positive difference for small business owners each and every day.

At Nav, our team is just as diverse as the customer base we serve. And, that's something we're incredibly proud of. We value individualism just as much as we do hard work, talent and smarts.

Working at Nav isn't just a job — it's an opportunity to gain invaluable experience, work with dedicated professionals, and make a real, lasting impact.

If you're ready to be part of a team that's driven by heartfelt purpose and data, let's talk.

Nav Technologies Inc. seeks a Software Engineer to deliver high quality system designs and software code at scale, while communicating with groups inside and outside of Nav's engineering team. Contribute to the technical architecture of Nav's products and systems. Generate ideas for leveraging technology in the pursuit of Nav's goals. Advocate for engineering best practices and drive coding standards. Develop, apply, and socialize advanced technologies, engineering principles, and concepts. Collaborate across teams to help enhance product and systems. Provide engineers with technical documentation. #LI-DNI

Position requires a Bachelor's degree in Computer Science, Engineering, or a related field, and 2 years of academic or professional experience building and operating fault-tolerant distributed systems, workflows, databases and mobile or web applications. Academic or professional experience must include: experience with public cloud infrastructure; experience with software development using Python and Java; experience with Gitlab; experience with data processing at scale and database management systems including PostgreSQL; experience with data mining, statistical machine learning, and advanced programming algorithms; experience with computer networks, including network architecture, protocols, systems, and cloud networking concepts; experience with software analysis and design, including object-oriented programming and design architecture principles; experience with software requirements engineering, modeling frameworks, and Agile project management; and experience with database management system implementation, including query optimization, indexing, and concurrency control. Telecommuting may be available on a full-time basis. #LI-DNI

Job location: Draper, UT. To apply, please visit https://www.nav.com/careers/ and enter Job Code [0001] when prompted. Alternatively, please send your résumé, cover letter, and a copy of the ad to: Nav Technologies Inc., Attn: D. Gregersen, 13693 South 200 West, Suite 200, Draper, UT 84020.