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Artificial Intelligence Machine Learning Jobs in Provo, UT

SCET Unit IT Director

Orem, UT · On-site

$84K - $98K/yr

... Machine Learning/Artificial Intelligence HPC/ML/AI computing resources; and develop equipment lifecycle, replacement, and long-term technology investment plans. * Cybersecurity, Compliance, and Risk ...

The role will focus on extending machine learning, predictive modeling, and analytic components to provide up-to-date intelligence to Healthcare providers maximizing outcomes. An ideal candidate for ...

The role will focus on extending machine learning, predictive modeling, and analytic components to provide up-to-date intelligence to Healthcare providers maximizing outcomes. An ideal candidate for ...

The role will focus on extending machine learning, predictive modeling, and analytic components to provide up-to-date intelligence to Healthcare providers maximizing outcomes. An ideal candidate for ...

Manager Data Intelligence (Draper, UT, In-Office) Upbound Group, Inc. (NASDAQ: UPBD) is a ... Evaluate and prioritize Generative AI, predictive analytics, machine learning, and intelligent ...

Proven experience applying machine learning, artificial intelligence, and advanced analytics to solve business problems and generate strategic insights. * Experience working with Generative AI, LLMs ...

Senior Software Engineer

Lehi, UT · On-site

$115K - $151K/yr

Machine-learning / Data Science * Technical leadership Benefits * Stock options * Medical, dental ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Senior Software Engineer

Lehi, UT · On-site

$115K - $151K/yr

Machine-learning / Data Science * Technical leadership Benefits * Stock options * Medical, dental ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Senior Software Engineer

Lehi, UT · On-site

$115K - $151K/yr

Machine-learning / Data Science * Technical leadership Benefits * Stock options * Medical, dental ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

The role will focus on extending machine learning, predictive modeling, and analytic components to provide up-to-date intelligence to Healthcare providers maximizing outcomes. An ideal candidate for ...

The role will focus on extending machine learning, predictive modeling, and analytic components to provide up-to-date intelligence to Healthcare providers maximizing outcomes. An ideal candidate for ...

The role will focus on extending machine learning, predictive modeling, and analytic components to provide up-to-date intelligence to Healthcare providers maximizing outcomes. An ideal candidate for ...

Also, the candidate is a strong technical leader who is extremely motivated, intellectually curious ... machine learning models for a number of financial applications including but not limited to:

Director, Accounts Payable

Lehi, UT

$61K - $84K/yr

Drive the identification, piloting, and deployment of artificial intelligence (AI) and machine learning capabilities within the P2P cycle (e.g., predictive exception routing, smart GL coding ...

Director, Accounts Payable

Lehi, UT · On-site

$61K - $84K/yr

Drive the identification, piloting, and deployment of artificial intelligence (AI) and machine learning capabilities within the P2P cycle (e.g., predictive exception routing, smart GL coding ...

... artificial intelligence across our RCM department to deliver tangible efficiency gains, cost ... Demonstrated familiarity with AI, machine learning concepts, or automation tools as applied in a ...

Director, Accounts Payable

Lehi, UT

$61K - $84K/yr

Drive the identification, piloting, and deployment of artificial intelligence (AI) and machine learning capabilities within the P2P cycle (e.g., predictive exception routing, smart GL coding ...

Showing results 21-40

Artificial Intelligence Machine Learning information

See Provo, UT salary details

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How much do artificial intelligence machine learning jobs pay per hour?

As of Jul 25, 2026, the average hourly pay for artificial intelligence machine learning in Provo, UT is $24.92, according to ZipRecruiter salary data. Most workers in this role earn between $20.24 and $26.39 per hour, depending on experience, location, and employer.

What is an Artificial Intelligence Machine Learning job?

An Artificial Intelligence Machine Learning (AI/ML) job involves developing algorithms and models that enable machines to learn and make decisions without explicit programming. Professionals in this field work with large datasets, build predictive models, and optimize AI systems for tasks like natural language processing, computer vision, and automation. They often use programming languages such as Python, machine learning frameworks like TensorFlow or PyTorch, and cloud platforms for deploying models. AI/ML jobs can be found in industries like healthcare, finance, robotics, and cybersecurity, aiming to improve efficiency and decision-making through intelligent systems.

What are some typical projects or tasks an Artificial Intelligence Machine Learning professional might work on?

As an Artificial Intelligence Machine Learning professional, you may develop and fine-tune predictive models, process large datasets, and use algorithms to extract actionable insights. Your projects could include designing recommendation systems, automating decision-making processes, or deploying machine learning models into production environments. Collaboration with software engineers, data scientists, product managers, and business stakeholders is common to ensure technology solutions align with organizational objectives. You might also be involved in continuous model evaluation and improvements to enhance accuracy and efficiency over time.

What are the key skills and qualifications needed to thrive in the Artificial Intelligence Machine Learning position, and why are they important?

To excel in an Artificial Intelligence Machine Learning role, you need a solid background in mathematics, statistics, programming (typically Python or R), and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or Scikit-learn), cloud platforms, and relevant certifications like TensorFlow Developer or AWS Certified Machine Learning are commonly required. Strong problem-solving abilities, communication skills, and a collaborative mindset are crucial soft skills. These competencies enable professionals to develop effective AI solutions, navigate complex data challenges, and work seamlessly with cross-functional teams.

What is AI ML salary?

The salary for artificial intelligence and machine learning professionals varies based on experience, location, and skill level, but typically ranges from $80,000 to over $150,000 annually. Entry-level roles may start around $70,000, while experienced specialists with advanced skills in deep learning, data analysis, and programming can earn higher salaries, especially in tech hubs or companies with specialized AI projects.

What jobs can I get with AI ML?

With AI and ML skills, you can pursue roles such as AI Engineer, Machine Learning Engineer, Data Scientist, Deep Learning Engineer, and AI Research Scientist. These positions typically require knowledge of programming languages like Python, experience with frameworks such as TensorFlow or PyTorch, and a strong understanding of algorithms and data analysis.

Is AI ML a good career?

Artificial Intelligence and Machine Learning are rapidly growing fields with high demand for skilled professionals, offering competitive salaries and diverse opportunities across industries. Success typically requires strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. Continuous learning and staying updated with new developments are important for long-term career growth.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI research directors, chief AI officers, or senior machine learning executives, often requiring advanced expertise, leadership skills, and extensive experience. These positions usually involve strategic decision-making, overseeing AI development projects, and may require advanced degrees and industry certifications. Compensation at this level reflects significant responsibility and impact within organizations or tech companies.
What are popular job titles related to Artificial Intelligence Machine Learning jobs in Provo, UT? For Artificial Intelligence Machine Learning jobs in Provo, UT, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning jobs in Provo, UT look for? The top searched job categories for Artificial Intelligence Machine Learning jobs in Provo, UT are:
What cities near Provo, UT are hiring for Artificial Intelligence Machine Learning jobs? Cities near Provo, UT with the most Artificial Intelligence Machine Learning job openings:
Infographic showing various Artificial Intelligence Machine Learning job openings in Provo, UT as of July 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $52,455 per year, or $25.2 per hour.
Section Lead, Combat Decision Aid AI/ML Analysis Onsite

Section Lead, Combat Decision Aid AI/ML Analysis Onsite

Raytheon

Provo, UT

$97K - $127K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Raytheon rating

9.0

Company rating: 9.0 out of 10

Based on 98 frontline employees who took The Breakroom Quiz

5th of 535 rated manufacturers


Job description

Date Posted:

2026-07-22

Country:

United States of America

Location:

US-AZ-TUCSON-842 ~ 1151 E Hermans Rd ~ BLDG 842

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Active and transferable U.S. government issued security clearance is required prior to start date.​ U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance​

Security Clearance Type:

DoD Clearance: Top Secret

Security Clearance Status:

Active and existing security clearance required on day 1

At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. 

Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense.

Integrated Solutions Modeling & Architecture (ISMA) develops, evaluates, and implements architectural solutions addressing our customers’ most complex, mission-critical challenges across all operational domains. We create and assess innovative concepts that meet emerging operational needs, advance next‑generation mission capabilities, and shape a strategic path forward for Raytheon and our customers.

To support this mission, our teams deliver flexible integration solutions across sensors, effectors, command and control, logistics, and operations. We also develop tools and methodologies that enable system-level studies and visualization aligned with customer requirements.

The Combat Decision Aid AI/ML Analysis Section Leader will oversee a team of approximately 15–20 engineers supporting airborne kill chain programs. These programs encompass multidisciplinary research, development, and production efforts in Artificial Intelligence and Machine Learning, performance meta-modeling, airborne kill chain and air‑to‑air combat analysis, software‑in‑the‑loop testing, and software production and quality assurance.

This role requires regular coordination with external customers, industry partners, subcontractors, and warfighter tactics experts. Experience with high‑fidelity simulations is essential. The position involves substantial industry collaboration and offers high visibility with customers.

What You Will Do

  • Lead and participate in trade studies, research, development, and implementation of machine learning-based solutions to support warfighter capability needs.

  • Lead and participate in research into advanced neural network techniques to solve real-world war fighter challenges.

  • Lead and participate in development and implementation of model-based solutions to support mission trade studies and performance simulations and ensure they meet defined requirements and functions.

  • Lead and participate in performance engineering practices and procedures to evaluate work across a wide range of intriguing computational problems.

  • Extensive interaction with Program Managers, Chief Engineers, and Technical SMEs.

  • Extensive interface with the customer community on a regular basis to share status, issues, and address programmatic concerns.

  • Oversee the direct line management activities for the section including communication, performance management, career development, and talent acquisition.

  • Collaborate and communicate with other sections and teams.

  • Support department and directorate level initiatives.

  • Ensure employee compliance with company policies and procedures.

  • Section Leader duties account for approximately 10-20% of the employee’s time.


Qualifications You Must Have

  • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 8 years of prior relevant experience unless prohibited by local laws/regulations.

  • Experience in airborne kill chain analysis and or air-to-air effector engineering & analysis; including exposure to AI/ML or neural network analysis.

  • Experience in coordination and diplomacy skills in collaborating cross-industry, including subcontractors, our customers and with the warfighter.

  • Experience in the Defense industry.

  • Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Qualifications We Prefer

  • Advanced degree in mathematics, Operations Research, Computer Engineering, Computer Science, Physics, Electrical Engineering, Industrial Engineering, or Aeronautical/Aerospace Engineering is preferred.

  • Experience in modeling and simulation and/or weapon system performance.

  • An active and in-scope top-secret US security clearance

  • Experience in personal leadership and interpersonal communication skills.

  • Strong verbal and written communication skills and demonstrated ability/experience to lead engineering teams.

Learn More & Apply Now

  • Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: https://www.state.gov/m/ds/clearances/c10978.htm

  • Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. #LI-RH2

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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