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Ml Engineer Jobs in Utah (NOW HIRING)

Stackruit Ltd.

Senior AI/ML Engineer

Draper, UT · On-site

$100 - $130/hr

You'll be a Senior AI/ML Engineer, designing and building AI-powered features like chatbots and data analysis tools. * Collaborate with engineers, data scientists, and other experts to bring your ...

Patientco

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

... Engineering, with a strong focus on NLP. * Proven experience with Language Models (LMs), including model selection, fine-tuning, and deployment. * Strong proficiency in Python and familiarity with ML ...

Crew Career Center

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

... Engineering, with a strong focus on NLP. * Proven experience with Language Models (LMs), including model selection, fine-tuning, and deployment. * Strong proficiency in Python and familiarity with ML ...

Waystar

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

... Engineering, with a strong focus on NLP. * Proven experience with Language Models (LMs), including model selection, fine-tuning, and deployment. * Strong proficiency in Python and familiarity with ML ...

Pwc

ERP AI Engineer - Manager

Salt Lake City, UT

$99K - $232K/yr

As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships, and translate complex business challenges into AI-driven strategies and solutions. This role offers ...

Autonomous Solutions

AI Infrastructure Engineer IV

Mendon, UT · On-site

$93K - $122K/yr

Collaborate with data scientists, ML engineers, and software teams to support AI model development, training, and deployment workflows. * Implement automation, CI/CD, DevOps, and MLOps practices to ...

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

Collaborate with data scientists, ML engineers, and software teams to support AI model development, training, and deployment workflows. * Implement automation, CI/CD, DevOps, and MLOps practices to ...

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

Collaborate with data scientists, ML engineers, and software teams to support AI model development, training, and deployment workflows. * Implement automation, CI/CD, DevOps, and MLOps practices to ...

Autonomous Solutions

AI Infrastructure Engineer IV

Mendon, UT · On-site

$93K - $122K/yr

Collaborate with data scientists, ML engineers, and software teams to support AI model development, training, and deployment workflows. * Implement automation, CI/CD, DevOps, and MLOps practices to ...

Wsgr

Senior AI Security Engineer

Salt Lake City, UT · On-site +1

$110K - $151K/yr

The Senior AI Security Engineer, under the direction of the Director, Security Engineering and ... Demonstrated experience with AI threat modeling - including OWASP LLM Top 10, adversarial ML attack ...

Bespoke Labs

Machine Learning Engineer

Ogden, UT · On-site

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 ...

Bespoke Labs

Machine Learning Engineer

Logan, UT · On-site

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 ...

Bespoke Labs

Machine Learning Engineer

Orem, UT · On-site

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 ...

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All JobsMl Engineer JobsMl Engineer Jobs in Utah

Ml Engineer information

See Utah salary details

$30K

$81.2K

$129.3K

How much do ml engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for ml engineer in Utah is $81,190.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $99,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an ML engineer?

To thrive as an ML Engineer, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a degree in a related field. Familiarity with programming languages like Python or R, ML frameworks such as TensorFlow or PyTorch, and data processing tools is typically required, with relevant certifications being a plus. Strong problem-solving, critical thinking, and communication skills help you translate complex data insights into actionable solutions and work effectively in teams. These abilities ensure accurate model development, effective deployment, and successful collaboration on data-driven projects.

Are machine learning engineers still in demand?

Machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. They typically require skills in programming, data analysis, and frameworks like TensorFlow or PyTorch, and often find opportunities in tech, finance, healthcare, and other sectors investing in AI solutions.

What is an ML engineer?

ML Engineers, or Machine Learning Engineers, are professionals who design, build, and deploy machine learning models into production systems. They bridge the gap between data science and software engineering, ensuring that machine learning solutions are scalable, reliable, and efficient. ML Engineers work with large datasets, develop algorithms, and optimize models for performance. They also collaborate with data scientists, software developers, and business stakeholders to solve real-world problems using artificial intelligence.

What is the difference between Ml Engineer vs Data Scientist?

AspectML EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; knowledge of ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDevelops, deploys, and maintains ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, startups, and enterprises deploying ML solutionsResearch institutions, tech firms, and industries relying on data analysis

While both roles involve working with data and machine learning, ML Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights to inform business decisions. The roles often overlap but differ in their core responsibilities and focus areas.

What are some common challenges ML engineers face when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring models remain accurate over time as data changes (known as data drift), optimizing models for speed and scalability, and integrating models seamlessly with existing software systems. Additionally, maintaining model performance in real-world environments can require continuous monitoring, retraining, and close collaboration with data engineers and DevOps teams. Addressing these challenges typically involves robust testing, using automated pipelines, and staying up-to-date with the latest MLOps best practices.

What are the most commonly searched types of Ml Engineer jobs in Utah?

The most popular types of Ml Engineer jobs in Utah are:

What are popular job titles related to Ml Engineer jobs in Utah?

For Ml Engineer jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Ml Engineer jobs in Utah look for?

The top searched job categories for Ml Engineer jobs in Utah are:

What cities in Utah are hiring for Ml Engineer jobs?

Cities in Utah with the most Ml Engineer job openings:

Ml Engineer jobs near you
Infographic showing various Ml Engineer job openings in Utah as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $81,190 per year, or $39 per hour.

Senior AI/ML Engineer

Stackruit Ltd.

Draper, UT • On-site

$100 - $130/hr

Other

Medical, PTO

Posted 8 days ago

Job description

Be an AI/ML Rockstar! Build Cutting-Edge Conversational AI at BambooHR (US)

Do you dream of using AI to build the future of work? Join BambooHR!

About BambooHR
  • We’re a growing tech company with a award-winning culture, helping HR teams and employees thrive. (Learn more atbamboohr.com)
  • We offer a comprehensive benefits package, including generous PTO, healthcare, and educational assistance.
  • Work from home, in our Utah office, or in a hybrid model (depending on role).
The Role
  • You’ll be a Senior AI/ML Engineer, designing and building AI-powered features like chatbots and data analysis tools.
  • Collaborate with engineers, data scientists, and other experts to bring your ideas to life.
    You’ll have the freedom to experiment and grow within the company.
You’re a Great Fit If You Have:
  • 5+ years of experience building software with machine learning (Python).
  • Experience building production-ready systems with cloud platforms (AWS).
  • Expertise in AI, machine learning, and natural language processing (NLP).
  • Strong communication and collaboration skills.
Bonus Points for:
  • Experience with large language models (LLMs) and prompt engineering.
  • A passion for innovation and creative problem-solving.
Why BambooHR?
  • Make a real impact on the future of work with AI.
  • Enjoy a supportive and collaborative work environment.
  • Competitive salary and benefits package with a focus on well-being.
  • Opportunity to learn and grow your skills.
  • Ready to launch your AI career and make a difference? Apply today!

BambooHR is an equal opportunity employer.

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