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Freelance Full Stack Machine Learning Engineer Jobs in Orem, UT

Entrata

Senior Machine Learning Engineer

Lehi, UT · On-site +1

$144K - $233K/yr

We are seeking a Senior Machine Learning Engineer to help build and scale Entrata's applied AI ... This band covers the full salary range for the role. Your offer within this range will depend on ...

Entrata

Senior Machine Learning Engineer

Lehi, UT · On-site +1

$144K - $233K/yr

Bachelor's or advanced degree in Computer Science, Machine Learning, Engineering, or a related field, or equivalent practical experience. $144,000 - $233,100 a year This band covers the full salary ...

NICE

Senior Machine Learning Engineer

Sandy, UT · Hybrid

$99K - $136K/yr

As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech-oriented AI models - covering real-time transcription and speech-to-speech systems across dozens of ...

NICE

Senior Machine Learning Engineer

Sandy, UT · On-site

$113K - $150K/yr

As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech-oriented AI models - covering real-time transcription and speech-to-speech systems across dozens of ...

Entrata

Senior Machine Learning Engineer

Lehi, UT · On-site

$144K - $233K/yr

We're looking for a Senior AI and Machine Learning Engineer to help design, build, and optimize our ... the full salary range for the role. Your offer within this range will depend on factors like ...

Workstream

Software Engineer (Full Stack)

Lehi, UT · Hybrid

$100K - $140K/yr

We are seeking a talented Software Engineer (Full Stack) to join our growing engineering team. This is a full-time, hybrid position with 1 to 2 days a week in-office to support close cross-functional ...

Enzo Health

Senior Full Stack Engineer

Lehi, UT · On-site

About the role We're looking for a high-impact Senior Full Stack Engineer to help build and scale the core infrastructure powering Enzo Health. You'll work across the stack to develop fast, reliable ...

Workstream

Software Engineer (Full Stack)

Lehi, UT · On-site

$100K - $140K/yr

We are seeking a talented Software Engineer (Full Stack) to join our growing engineering team. This is a full-time, hybrid position with 1 to 2 days a week in-office to support close cross-functional ...

Proofpoint

Full Stack Engineer

Draper, UT · On-site

... full-stack Software Engineer III on our Satori AI Platform team, you will be building the interfaces and APIs that our Fortune 500 customers use to deploy, monitor, and control AI security agents ...

Emerging Threats Pro

Full Stack Engineer

Draper, UT · On-site

... full-stack Software Engineer III on our Satori AI Platform team, you will be building the interfaces and APIs that our Fortune 500 customers use to deploy, monitor, and control AI security agents ...

RainFocus

Full Stack Developer (Remote)

Orem, UT · On-site +1

About the Role As a Full Stack Developer, you will develop enterprise-grade web applications using Java and React. We need collaborative, energetic team members who are capable of becoming experts in ...

RainFocus

Full Stack Developer (Remote)

Orem, UT · On-site

About the Role As a Full Stack Developer, you will develop enterprise-grade web applications using Java and React. We need collaborative, energetic team members who are capable of becoming experts in ...

RainFocus

Full Stack Developer (Remote)

Orem, UT · Remote

About the Role As a Full Stack Developer, you will develop enterprise-grade web applications using Java and React. We need collaborative, energetic team members who are capable of becoming experts in ...

Berkadia

Senior Engineer - Machine Learning

Midvale, UT · On-site

$98K - $135K/yr

As a Senior Engineer, Machine Learning at Berkadia, you'll be at the forefront of applying cutting ... To achieve these goals, we are committed to the full inclusion of all qualified individuals ...

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All JobsFull Stack Machine Learning Engineer JobsFreelance Full Stack Machine Learning Engineer JobsFreelance Full Stack Machine Learning Engineer Jobs in Orem, UT

Freelance Full Stack Machine Learning Engineer information

See Orem, UT salary details

$38.7K

$117.2K

$165.6K

How much do freelance full stack machine learning engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for freelance full stack machine learning engineer in Orem, UT is $117,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $137,400.00 per year, depending on experience, location, and employer.

What is the difference between Freelance Full Stack Machine Learning Engineer vs Freelance Data Scientist?

AspectFreelance Full Stack Machine Learning EngineerFreelance Data Scientist
CredentialsProficiency in programming, machine learning, and full stack developmentStrong statistical, analytical, and programming skills, often with data analysis certifications
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights, mainly focusing on data analysis
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsUsed across industries for data analysis, reporting, and predictive modeling

Freelance Full Stack Machine Learning Engineers focus on building and deploying machine learning models within full stack applications, combining software development with ML expertise. Freelance Data Scientists primarily analyze data and create models for insights. While both roles require programming skills, the engineer's role emphasizes deployment and integration, whereas the data scientist's role centers on analysis and interpretation.

What are popular job titles related to Freelance Full Stack Machine Learning Engineer jobs in Orem, UT?

For Freelance Full Stack Machine Learning Engineer jobs in Orem, UT, the most frequently searched job titles are:

What job categories do people searching Freelance Full Stack Machine Learning Engineer jobs in Orem, UT look for?

The top searched job categories for Freelance Full Stack Machine Learning Engineer jobs in Orem, UT are:

Freelance Full Stack Machine Learning Engineer jobs near you

Senior Machine Learning Engineer

Lehi, UT • On-site, Remote

Entrata
Software Development • 1 - 5K employees

7.9

Company rating: 7.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

131st of 246 rated software companies

Good employer

Paid breaks

Recommended by parents

Learn more about Entrataexternal

$144K - $233K/yr

Full-time

Re-posted 12 days ago

Job description

Since 2003, Entrata has evolved from a visionary, student-led startup into a global leader in AI-driven property management technology. Today, we power the industry's most essential operating system, serving owners and residents worldwide through a comprehensive suite of intelligent leasing, payment, and communication tools powered by cutting-edge AI. With a proven track record of sustained growth and a global team of more than 2,200 employees, we offer the rare combination of established stability and high-velocity innovation. Recognized by the Silicon Slopes Hall of Fame and the Utah Business Fast 50, Entrata fosters a culture of radical transparency and entrepreneurial energy. At Entrata, we create an environment where different perspectives are valued and respected. Those perspectives challenge assumptions, strengthen our decisions, and raise the bar as we reshape the global living experience through AI-powered solutions.

We are seeking a Senior Machine Learning Engineer to help build and scale Entrata’s applied AI capabilities. This role will focus on adapting and fine-tuning foundation models for property management use cases, building reliable model training and evaluation pipelines, and deploying AI systems into production.

Responsibilities
  • Fine-tune and adapt large language models for Entrata-specific use cases using supervised fine-tuning and other post-training techniques.
  • Build scalable data preparation, curation, filtering, and synthetic data pipelines to support model training and evaluation.
  • Develop agentic AI systems that can reason across multi-step workflows, use tools, retrieve context, and operate reliably in production.
  • Build evaluation frameworks and benchmarks to measure model quality, safety, reliability, and task performance.
  • Optimize model inference, serving, and deployment for performance, cost, and scalability.
  • Partner with engineering, product, and data teams to integrate AI capabilities into Entrata products and workflows.
  • Help establish best practices for model experimentation, fine-tuning, evaluation, and deployment.
Minimum Qualifications
  • 5+ years of software engineering or machine learning engineering experience.
  • Hands-on experience fine-tuning, adapting, or deploying large language models.
  • Strong proficiency with Python and PyTorch or similar deep learning frameworks.
  • Experience building ML data pipelines, training workflows, and evaluation systems.
  • Experience deploying machine learning models into production environments.
  • Familiarity with modern LLM tooling, model serving, and inference frameworks.
  • Strong understanding of machine learning fundamentals and model performance tradeoffs.
Preferred Qualifications
  • Experience with supervised fine-tuning, preference optimization, or related post-training techniques.
  • Experience building agentic systems, tool-using models, or retrieval-based AI applications.
  • Experience with distributed training or GPU-based model workloads.
  • Familiarity with frameworks such as vLLM, DeepSpeed, FSDP, or similar technologies.
  • Experience working with enterprise or domain-specific AI applications.
  • Bachelor’s or advanced degree in Computer Science, Machine Learning, Engineering, or a related field, or equivalent practical experience.
This band covers the full salary range for the role. Your offer within this range will depend on factors like experience, skills, and internal equity.
 
Level - P4
Benefits:
Flexible and transparent culture with remote and hybrid work options, generous vacation time, and frequent company recharge days for work-life balance.

Comprehensive medical, dental, and vision coverage, including fertility benefits, available for eligible employees and their families.

HSA/FSA options and employer-paid disability benefits provided for eligible employees.

Access to 401(k) or similar retirement plans with employer matching for eligible employees, ensuring long-term financial security.

Wellness initiatives promoting physical and mental well-being, access to an onsite gym at HQ, gym memberships, mental health resources, wellness challenges, and employee assistance programs.

Entrata Cares programs offers opportunities for volunteerism, charity events, and giving back to our community.

Exclusive Previ cell phone plan and discounts on services or local business partnerships for additional employee benefits.

Bi-annual swag drops for employees

Currently, Entrata hires in Arizona, Idaho, Utah, Wyoming, Texas, North Carolina, Florida, Georgia, South Carolina, Ohio, Pennsylvania, and Illinois for Exempt roles and Arizona, Idaho, Utah, Wyoming, Texas, North Carolina, and Florida for Non-Exempt roles. 

Entrata is dedicated to creating a workplace where a diverse and inclusive team thrives in an environment free from discrimination. We provide equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status, or any other applicable characteristics protected by law.

It’s a great place to work! Will you join us?

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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