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Contract Machine Learning Software Engineer Jobs in Orem, UT

Software Engineer II

Provo, UT · On-site

$92K - $126K/yr

Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative ...

Senior Software Engineer

Lehi, UT

$115K - $151K/yr

Hands-on experience applying AI or machine learning in real products, including prompt design ... Typically 10+ years of relevant software engineering experience, though impact and scope of ...

Senior Software Engineer

Lehi, UT

$115K - $151K/yr

... full-time software development experience in one or more general purpose programming languages ... Machine-learning / Data Science * Technical leadership Benefits * Stock options * Medical, dental ...

Senior Software Engineer

Lehi, UT · On-site

$115K - $151K/yr

... full-time software development experience in one or more general purpose programming languages ... Machine-learning / Data Science * Technical leadership Benefits * Stock options * Medical, dental ...

Senior Software Engineer

Lehi, UT

$115K - $151K/yr

... full-time software development experience in one or more general purpose programming languages ... Machine-learning / Data Science * Technical leadership Benefits * Stock options * Medical, dental ...

Brevium is seeking motivated Full Stack Software Engineer Interns to join our team. Engineer ... Passion for learning and growth. * GPA of 3.5 or higher. Location: Brevium's headquarters is ...

Brevium is seeking motivated Full Stack Software Engineer Interns to join our team. Engineer ... Passion for learning and growth. * GPA of 3.5 or higher. Location: Brevium's headquarters is ...

Brevium is seeking motivated Full Stack Software Engineer Interns to join our team. Engineer ... Passion for learning and growth. * GPA of 3.5 or higher. Location: Brevium's headquarters is ...

Software Engineer II

Draper, UT · On-site

$91K - $124K/yr

Software Engineer II Duration: 06 Months Contract (Possible Extension or Perm) Location: 13693 South 200 West, Draper UT 84020 (Hybrid - 2-3 days/week in office) Potential to Extend? Yes Potential to ...

As a Software Engineer (C/C++), you will work directly on the core of our database and data ... learning and development. * Rewarding Compensation: We value your contributions. Expect a ...

New

Sr. Data Engineer

Draper, UT

$107K - $128K/yr

Design, build, and operationalize machine learning pipelines for training, validation, deployment ... Join us in creating HR software that makes work better for everyone, while we make work better for ...

Sr. Software Engineer

American Fork, UT · On-site

$109K - $144K/yr

Mentor and coach junior engineers, fostering a culture of continuous learning, code quality, and ... Software development using TypeScript, React, and responsive web design for cross-browser delivery;

Sr. Software Engineer

American Fork, UT

$109K - $144K/yr

Mentor and coach junior engineers, fostering a culture of continuous learning, code quality, and ... Software development using TypeScript, React, and responsive web design for cross-browser delivery;

Sr Software Engineer

South Jordan, UT

$116K - $153K/yr

... learning (teaching experience a strong plus). * Own end-to-end delivery of features from design ... software engineering experience; or equivalent experience in lieu of a degree. * Deep expertise in ...

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Showing results 1-20

Contract Machine Learning Software Engineer information

See Orem, UT salary details

$55.2K

$128.3K

$178.7K

How much do contract machine learning software engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for contract machine learning software engineer in Orem, UT is $128,253.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,300.00 and $150,400.00 per year, depending on experience, location, and employer.

How does a Contract Machine Learning Software Engineer typically collaborate with full-time team members during a project?

As a Contract Machine Learning Software Engineer, you will often work closely with full-time data scientists, software engineers, and product managers. Collaboration usually happens through regular stand-up meetings, code reviews, and shared documentation platforms. Despite being a contractor, you’re expected to integrate seamlessly with the team, communicate progress transparently, and adapt to the company’s workflows. Building strong relationships and proactively seeking feedback can help ensure your contributions align with the project’s goals and timelines.

What is the difference between Contract Machine Learning Software Engineer vs Data Scientist?

AspectContract Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master’s in CS, ML, or related fields; experience with ML frameworksBachelor's or Master’s in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentProject-based, often remote, focused on developing ML models and softwareData analysis, visualization, and interpretation, often in research or business settings
Employer & Industry UsageTech companies, startups, consulting firms; used for deploying ML solutionsResearch institutions, finance, healthcare, and tech; used for insights and decision-making

The main difference is that Contract Machine Learning Software Engineers focus on developing and deploying ML models as software solutions, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but their primary objectives and work environments differ.

Which 5 jobs will survive AI?

For a Contract Machine Learning Software Engineer, roles that involve complex problem-solving, creativity, and human judgment are more likely to persist, such as AI research, data science, cybersecurity, software architecture, and technical consulting. These jobs require specialized skills, domain expertise, and adaptability that AI tools currently cannot fully replicate. Continuous learning and proficiency with AI and machine learning tools will help maintain relevance in this evolving field.

What engineers make $500,000?

Senior machine learning software engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation may include base salary, bonuses, and stock options, especially in competitive markets or executive-level roles.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI research director, often involving advanced skills in deep learning, data science, and software engineering. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or working with cutting-edge AI technologies. Compensation at this level reflects the complexity and impact of the work, often including bonuses and stock options.

What are the key skills and qualifications needed to thrive as a Contract Machine Learning Software Engineer, and why are they important?

To thrive as a Contract Machine Learning Software Engineer, you need a strong background in computer science, proficiency in programming languages like Python, and expertise in machine learning algorithms, typically supported by a relevant degree or equivalent experience. Familiarity with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, along with knowledge of version control systems like Git, is essential. Strong problem-solving abilities, communication skills, and the ability to work independently or with cross-functional teams make someone stand out in this role. These skills ensure efficient delivery of scalable machine learning solutions that meet client requirements and project timelines.

How much do contract software engineers make?

Contract machine learning software engineers typically earn between $50 and $150 per hour, depending on experience, location, and project complexity. Rates can vary based on skills in specific frameworks, tools, and the duration of the contract.

What is a Contract Machine Learning Software Engineer?

A Contract Machine Learning Software Engineer is a professional who is hired on a temporary or project basis to design, develop, and deploy machine learning models and systems. They often work with organizations that need specialized expertise for a limited duration, helping to build algorithms, analyze data, and integrate AI solutions into existing software products. Contract engineers typically have strong backgrounds in programming, mathematics, and data science, and they may work remotely or on-site. Their responsibilities can range from data preprocessing and model training to deploying models in production environments. This arrangement allows companies to access advanced machine learning skills without committing to a full-time hire.
Software Engineer II

Software Engineer II

Raytheon

Provo, UT • On-site

$92K - $126K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Raytheon rating

9.1

Company rating: 9.1 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

3rd of 518 rated manufacturers


Job description

Date Posted:

2026-05-22

Country:

United States of America

Location:

US-AZ-TUCSON-805 ~ 1151 E Hermans Rd ~ BLDG 805

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:

Secret - Current

Security Clearance Status:

Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date

We're growing fast and we want you to grow with us! We're expanding our engineering organization dramatically to meet exciting customer demand, and we're actively looking for engineers who bring strong foundational skills and a passion for solving hard problems. Industry experience in defense? Not required — we'll invest in you. If you meet the minimum qualifications, we want to talk. Apply today and take the next step in your engineering career.

At RTX, the world 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.

At Raytheon's Software Engineering Directorate (SWE) Effectors Center (EC), we deliver innovative, mission-driven solutions to secure our nation. Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem solvers to develop next-generation capabilities and advance your skills while protecting our country.

This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. 

What You Will Do 

  • Assist and participate in the requirements, design, development and testing of real-time embedded software, application software, and tools, to include development of new work products or enhancement of existing applications and systems.

  • Design, code, test, integrate, and document software solutions.

  • Participate in internal review of software components and systems.

  • Collaborate with project managers and other professionals within Engineering.

  • Work on problems with defined scope, schedule, and expectations.

  • Follow established development practices and processes to maintain the configuration management of software products.

  • Ability to obtain program access required. 

What You Will Learn

  • Use new tools that will keep you state-of-the-art.

  • Stay updated with the latest advancements in software development and missile technology to drive innovation.

Qualifications You Must Have 

  • Typically requires a degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of two years prior relevant experience.

  • Experience with C++, C, or other object-oriented language.

  • Experience with hardware-software integration and embedded system testing.

  • Ability to obtain Interim Secret Level U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. 

Qualifications We Prefer  

  • Knowledge of data structures and algorithms, systems software design, operating systems and architectures.

  • Knowledge of assembly, C/C++ programming, structured programming concepts.

  • Knowledge of object-oriented design and Unified Model Language.

  • Knowledge of statistical and numerical methods.

  • Interpersonal and communication skills, both verbal and written.

  • Demonstrated ability to work effectively with colleagues and leaders in a team environment.

 What We Offer

  • Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.

  • Relocation Offered Based On Eligibility

Learn More & Apply Now!

Please consider the following role type definition as you apply for this role:

  • 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.

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 

Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America’s 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature’s best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson’s fantastic weather lets residents enjoy the outdoors year-round.

Virtual Fly Over City of Tucson & Community, YouTube Video Links

  • “Raytheon In Tucson”: https://careers.rtx.com/global/en/raytheon-tucson,-az-location

  • “Tucson is Awesome”: https://www.youtube.com/watch?v=i65wOwKcNIQ

  • “Winter in Tucson”: https://www.youtube.com/watch?v=yZdKKkF0QkE

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 68,900 USD - 131,100 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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