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Contract Machine Learning Software Engineer Jobs in Orem, UT

Build solutions to novel problems in software development, data engineering, and machine learning * Build data pipelines; transform and convert data streams into structures needed for algorithm input

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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Data Engineer

Lehi, UT · On-site

$90K - $120K/yr

Skills and Requirements * 2 - 4+ years of professional experience as a Data Engineer, Software ... Familiarity with deploying, operationalizing, and monitoring machine learning models in production ...

... machine learning, and advanced programming algorithms; experience with computer networks, including network architecture, protocols, systems, and cloud networking concepts; experience with software ...

... machine learning, and advanced programming algorithms; experience with computer networks, including network architecture, protocols, systems, and cloud networking concepts; experience with software ...

... machine learning, and advanced programming algorithms; experience with computer networks, including network architecture, protocols, systems, and cloud networking concepts; experience with software ...

Machine Learning Tutor

Provo, UT · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

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 ...

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 ...

Senior Software Engineer

Lehi, UT · Hybrid

$115K - $151K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... The Senior Software Engineer leads and oversees the software engineering function in developing ...

Senior Software Engineer

Lehi, UT · On-site

$115K - $151K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... The Senior Software Engineer leads and oversees the software engineering function in developing ...

Senior Software Engineer

Lehi, UT · Hybrid

$115K - $151K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... The Senior Software Engineer leads and oversees the software engineering function in developing ...

As a Machine Learning Engineer Co-Op on the MLE team, you will work on integrating ML models and Generative AI (GenAI) models, enabling ML/LLM-powered applications, and developing AI agents using ...

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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 Jul 8, 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.

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.

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.
Machine Learning Engineer

Machine Learning Engineer

Pluralsight, LLC

Draper, UT • On-site

$160K/yr

Other

Medical, PTO

Re-posted 14 days ago


Job description

Job Description:

A Machine Learning Engineer helps our learners discover content that is relevant to their interests and goals, providing them with experiences tailored just to their needs, and ensure they are receiving the right communication and assistance with their journey at the right time. They develop robust, scalable production machine learning algorithms and recommendation systems.

Who you're committed to being:

  • You enjoy learning and are open to new ways of doing things.

  • You are not afraid to be yourself, experiment, make mistakes and learn from them, ask questions, or voice your concerns.

  • When communicating you are self-aware, insightful, and proactive.

What you'll do:

  • Work closely with Data Scientists to take prototype algorithms and models and turn them into customer-facing solutions

  • Build solutions to novel problems in software development, data engineering, and machine learning

  • Build data pipelines; transform and convert data streams into structures needed for algorithm input

  • Collaborate with Product Managers and UX Designers to better understand the customer, provide valuable input into functional design and usability

  • Evaluate the efficiency of user experiences and ML algorithms, determining what data is needed and how to collect it, with an understanding of how these metrics are connected with the desired outcomes

Experience you'll bring:

  • Experience building production machine learning systems services as part of a product development team

  • Experience in Python, TensorFlow, and proficiency in data structures and database fundamentals

  • Experience building good code with speed and efficiency and balancing the trade-offs of quality vs speed

  • Ability to explain machine learning solutions to developers and other team members, regardless of their technical background

  • Experience working with continuous integration and delivery

  • Familiarity with cloud platforms and deploying ML models as scalable services

  • Experience with containerization and orchestration tools such as Docker and Kubernetes

  • Knowledge of software design patterns and best practices, including RESTful API design

  • Ideal experience in using machine learning in the context of recommendations and/or personalization.

  • Experience with Node and Typescript preferred

Requirements:

  • Requires a minimum of 5 years of related or equivalent experience; or 3+ years with an advanced degree

  • This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX office should expect to work on-site Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This approach enables more effective collaboration, quicker decision-making, and a stronger culture, while still providing flexibility.

Why you'll love working here:

  • We work in a blended environment that supports collaboration, flexibility, and connection across teams.

  • We are mission-driven, shaping the future of tech upskillling and delivering impact that matters.

  • We foster a culture of inclusion and belonging, where everyone can contribute and thrive.

  • We are always learning, creating an environment where you can take on new challenges, expand your skills, and grow with purpose.

  • Benefits include competitive compensation, bonus eligibility, comprehensive medical coverage, unlimited PTO, wellness reimbursement, professional development funds, and more.

About us:

Pluralsight provides the only learning platform dedicated to accelerating the technology skills and capabilities of today's tech workforce. Thousands of companies, government organizations and individuals around the world rely on Pluralsight to support critical technology skill development in areas that are crucial to innovation including artificial intelligence, cloud computing, cybersecurity, software development, and machine learning. We offer highly curated content developed by vetted technology experts, industry leading skill assessments, and hands on, immersive learning experiences designed to help individuals skill-up faster.

Physical Requirements:

This role is primarily performed in an office or home office setting and involves standard computer-based work.

EEOC & Accommodations Statement:

Bring yourself. Pluralsight is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or veteran status. We also consider qualified applicants with criminal histories, consistent with EEOC guidelines and local laws.

If you need an accommodation to apply, interview, or perform essential job functions, please visit the bottom of our website to learn how to request an accommodation. Learn more about our commitment to diversity, equity, inclusion, and belonging in our DEIB Report.

Pay Transparency:

The annual US base salary range for this role is $121,600 - $160,000 USD. Actual compensation will depend on location, skills, experience, and other factors. Additional benefits and bonuses may apply.

Applications must be submitted within 90 days after the initial posting date to be considered.

Recruiting Scam Notice:

Please be aware of recruiting scams. We'll only contact you from an @pluralsight.com email or verified channels. We never ask for sensitive personal info or payments as part of the hiring process. All openings are posted on our Careers page.

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