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

Outsmart

Faculty Lead & Learning Engineer - Sciences

Lehi, UT · On-site

$96.20K - $126.70K/yr

About the role The Faculty Lead & Learning Engineer - Sciences is Outsmart's designated faculty member for undergraduate science-owning course design, development, and quality-across biology ...

RLDatix

Data Scientist

Lehi, UT · On-site

This is an opportunity to work closely with data scientists, engineers, product leaders, and healthcare experts to design, build, and deploy production machine learning models and scalable data ...

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100.90K - $132.40K/yr

As an AI Infrastructure Engineer IV , you will play a critical role in designing, building, and maintaining the systems that power our AI and machine learning capabilities. You will ensure our ...

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100.90K - $132.40K/yr

As an AI Infrastructure Engineer IV , you will play a critical role in designing, building, and maintaining the systems that power our AI and machine learning capabilities. You will ensure our ...

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100.90K - $132.40K/yr

As an AI Infrastructure Engineer IV , you will play a critical role in designing, building, and maintaining the systems that power our AI and machine learning capabilities. You will ensure our ...

Sunwest Bank

AI/ML Engineer

Sandy, UT · On-site

$108.80K - $130.70K/yr

... machine-learning models or AI services aligned with business needs • Support deployment of AI ... programming skills or similar languages • Experience with machine-learning libraries such as ...

BambooHR

Sr. Data Engineer

Draper, UT

$107K - $128.50K/yr

Essential Job Duties As a Senior Data Engineer, you will play a key role in designing, building ... Design, build, and operationalize machine learning pipelines for training, validation, deployment ...

Waystar

Data Scientist

Lehi, UT · On-site

Responsibilities : • Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning ...

Epic

Software Engineer

Orem, UT · On-site

... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ... Engineering, Computer Engineering, or a related field • A history of academic excellence or ...

Epic

Software Engineer

Provo, UT · On-site

... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ... Engineering, Computer Engineering, or a related field • A history of academic excellence or ...

swirecc

Data Engineer

Draper, UT · On-site

$107K - $128.50K/yr

The Data Engineer develops, deploys, and supports business functions in relation to data ... machine learning * Explore second and third party data sources that can drive value and design ...

swirecc

Data Engineer

Draper, UT

$107K - $128.50K/yr

The Data Engineer develops, deploys, and supports business functions in relation to data ... machine learning * Explore second and third party data sources that can drive value and design ...

Patientco

Data Scientist

Lehi, UT · On-site

Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing, experimenting-with,and implementing machine learning and analytical systems applied to design ...

Crew Career Center

Data Scientist

Lehi, UT · On-site

Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing, experimenting-with,and implementing machine learning and analytical systems applied to design ...

Maximus

AI/ML Software Developer

Orem, UT · Remote

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

New

Waystar

Data Scientist

Lehi, UT · On-site

Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design ...

NetDocuments

Staff FinOps Engineer

Lehi, UT · On-site

Establish financial visibility and governance models for AI and machine learning workloads ... Demonstrated ability to influence Engineering teams and drive operational change without direct ...

Crew Career Center

Sr. Data Scientist

Lehi, UT · On-site

Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing, experimenting-with,and implementing machine learning and analytical systems applied to design ...

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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 May 30, 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 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 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 jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.

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
Faculty Lead & Learning Engineer - Sciences

Faculty Lead & Learning Engineer - Sciences

Outsmart

Lehi, UT • On-site

$96.20K - $126.70K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 29 days ago

Job description

Outsmart is a mission-driven, early-stage startup reimagining higher education for the age of AI by creating an entirely new collegiate experience that expands access and opportunity. Backed by $38M from top venture firms including Khosla Ventures, Forerunner, DST Global Partners, and Lightspeed, the company is led by former Duolingo executives and a founding team that also includes Emmy Award winners. With a strong culture centered around high-impact, detail-oriented team members, Outsmart is already seeing significant traction, generating 1-5 million weekly organic views on social media.
About the role
The Faculty Lead & Learning Engineer - Sciences is Outsmart's designated faculty member for undergraduate science-owning course design, development, and quality-across biology, chemistry, physics, geology, etc. (intro through advanced topics). You'll craft an engaging, rigorous, and fun science learning experience for students while setting the standard for science teaching in the AI era.
You'll bring the depth of an academic and the instincts of a builder. That means leveraging AI and modern tooling to design high-quality curriculum, virtual labs, and assessments at scale - and collaborating closely with learning designers, product, and engineering to bring it to fruition.
Location: Los Angeles, CA, San Francisco, CA, or Lehi, UT
Reporting: Works in close partnership with the Head of Academics & Learning Engineering and university academic leadership.
Qualities We're Seeking
  • Deep disciplinary expertise in one or more core sciences; comfortable stewarding courses across the broader science portfolio
  • Mastery of pedagogy, learning design, and assessment - and enthusiasm for AI-enabled teaching and learning
  • Builder mindset: resourceful, high energy, accountable, mission driven, student-obsessed; thrives in early-stage environments
  • Clear, direct communicator who collaborates well with designers, engineers, and product

What you'll do
  • Own the science curriculum: Design and develop courses across biology, chemistry, physics, and geology (intro → advanced) with clear learning outcomes and mastery-based progress
  • Design assessments (formative & summative)
  • Leverage AI & tooling to create interactive content (e.g., a virtual science lab) that improves engagement and efficacy
  • Collaborate with Learning Design, Product, and Engineering to ship high-quality, technology-enabled science experiences (simulations, visualizations, notebooks)
  • Support accreditation & quality: Align syllabi, policies, credit hours, and outcomes with institutional standards; contribute evidence for reviews and continuous improvement

Qualifications
  • Degree in a core science field (e.g., Biology, Chemistry, Physics, Geology) or Science Education; PhD or EdD preferred
  • 3+ years teaching or leading curriculum in undergraduate science (online or hybrid experience a plus)
  • Proven fluency with education technology and AI
  • Track record of cross-functional collaboration with designers/engineers and shipping learner-centric features

Perks
  • Competitive salary and equity
  • Healthcare for you and your dependents (medical, dental, and vision)
  • Parental leave for any full-time employee who has been with us for at least 6 months (birthing, non-birthing, and adoptive parents)
  • 15 PTO days per year, a winter break, and 12+ paid company holidays per year
  • Remote work days
  • Lunch provided in-office daily
  • Working with super talented people who want to make a difference in the world

Outsmart is committed to building an equitable and inclusive workplace and is proud to be an equal opportunity employer. We consider all qualified applicants for employment regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other characteristic protected by applicable law.

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