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

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Senior Layout Extraction Engineer

Midvale, UT · On-site +1

$120K - $160K/yr

The Layout (FIRE) Extraction Engineer is an organized and highly motivated team player with strong ... using Machine Learning / AI (preferred) o Analytical & Problem-Solving Skills · Analysis and ...

Waystar

Data Scientist

Lehi, UT · On-site

... machine learning and analytical systems applied to design information and user behavior. • Works closely with Application Engineering teams to gather and process data, as well as in surfacing ...

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

... 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 ...

Waystar

Sr. Software Engineer - Full Stack

Lehi, UT · On-site

They are seeking a Senior Software Engineer - Full Stack to contribute to their Aware platform by ... AI, machine learning, and predictive algorithms • Familiarity with statistics and healthcare ...

Waystar

Sr. Software Engineer - Full Stack

Lehi, UT · On-site

They are seeking a Senior Software Engineer to contribute to their Aware platform, focusing on ... AI, machine learning, and predictive algorithms • Familiarity with statistics and healthcare ...

Crumbl

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

... machine learning applications • Develop and maintain data ingestion processes to bring data from external sources into the organization's data environment • Identify and address performance ...

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 · On-site

$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

Provo, 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 ...

Enterprise Services

Applied AI Scientist

Midvale, UT · Hybrid

Familiarity with predictive modeling, machine learning, generative AI, and data mining techniques * Proficiency in programming and data science tools: * Languages: Python, R, or Java * Libraries ...

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

Machine Learning Engineer information

See Provo, UT salary details

$29.8K

$121.8K

$183K

How much do machine learning engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for machine learning engineer in Provo, UT is $121,811.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,000.00 and $146,600.00 per year, depending on experience, location, and employer.

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-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants 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 AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

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 engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

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 are the most commonly searched types of Machine Learning Engineer jobs in Provo, UT? The most popular types of Machine Learning Engineer jobs in Provo, UT are:
What are popular job titles related to Machine Learning Engineer jobs in Provo, UT? For Machine Learning Engineer jobs in Provo, UT, the most frequently searched job titles are:
What cities near Provo, UT are hiring for Machine Learning Engineer jobs? Cities near Provo, UT with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Provo, UT as of July 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $121,811 per year, or $58.6 per hour.
Network Engineer, AI Infrastructure Repair

Network Engineer, AI Infrastructure Repair

Meta

Eagle Mountain, UT

Other

Posted 3 days ago

New

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

131st of 205 rated software companies

Job description

Meta is building the next generation of AI infrastructure to power large-scale machine learning workloads, and the reliability of that infrastructure de...

What Meta employees say

Pay

Benefits

Hours and flexibility

Workplace

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