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Freelance Mechanical Engineering Machine Learning Jobs in Utah

Entrata

Senior Machine Learning Engineer

Lehi, UT · On-site

$144K - $233K/yr

Partner with engineering, product, and data teams to integrate AI capabilities into Entrata ... Experience deploying machine learning models into production environments. * Familiarity with ...

Entrata

Senior Machine Learning Engineer

Lehi, UT · On-site +1

$144K - $233K/yr

Partner with engineering, product, and data teams to integrate AI capabilities into Entrata ... Experience deploying machine learning models into production environments. * Familiarity with ...

Bespoke Labs

Machine Learning Engineer

West Jordan, UT · On-site

Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics * Implement methods from recent ML papers quickly and turn ...

Bespoke Labs

Machine Learning Engineer

Logan, UT · On-site

Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics * Implement methods from recent ML papers quickly and turn ...

Bespoke Labs

Machine Learning Engineer

Orem, UT · On-site

Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics * Implement methods from recent ML papers quickly and turn ...

Bespoke Labs

Machine Learning Engineer

Logan, UT · On-site

Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics * Implement methods from recent ML papers quickly and turn ...

Bespoke Labs

Machine Learning Engineer

Ogden, UT · On-site

Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics * Implement methods from recent ML papers quickly and turn ...

Bespoke Labs

Machine Learning Engineer

West Jordan, UT · On-site

Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics * Implement methods from recent ML papers quickly and turn ...

Bespoke Labs

Machine Learning Engineer

Orem, UT · On-site

Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics * Implement methods from recent ML papers quickly and turn ...

Bespoke Labs

Machine Learning Engineer

Ogden, UT · On-site

Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics * Implement methods from recent ML papers quickly and turn ...

Varsity Tutors

Machine Learning Tutor

Spanish Fork, UT · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Cedar City, UT · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Logan, UT · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Provo, UT · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Freelance Mechanical Engineering Machine Learning information

What is the difference between Freelance Mechanical Engineering Machine Learning vs Freelance Data Scientist?

AspectFreelance Mechanical Engineering Machine LearningFreelance Data Scientist
CredentialsEngineering degrees, certifications in machine learningStatistics, data analysis, programming certifications
Work EnvironmentEngineering firms, manufacturing, product designTech companies, consulting, research labs
Industry UsageProduct development, automation, roboticsData analysis, predictive modeling, business insights

Freelance Mechanical Engineering Machine Learning professionals focus on applying machine learning techniques to mechanical engineering problems, often within manufacturing or product design. In contrast, Freelance Data Scientists analyze data across various industries to generate insights and predictive models. While both roles require machine learning skills, their industry applications and work environments differ significantly.

Can I do freelancing with machine learning?

Freelance mechanical engineering professionals can incorporate machine learning skills to offer specialized services such as predictive modeling, data analysis, and automation solutions. Success in freelancing with machine learning depends on technical expertise, familiarity with tools like Python or TensorFlow, and a strong portfolio to attract clients. Continuous learning and certification can enhance credibility in this competitive field.

Can mechanical engineers work in machine learning?

Mechanical engineers can work in machine learning by applying their knowledge of systems, modeling, and data analysis to develop algorithms for automation, robotics, and predictive maintenance. Gaining skills in programming languages like Python, and understanding machine learning frameworks, can facilitate their transition into this field.

What are popular job titles related to Freelance Mechanical Engineering Machine Learning jobs in Utah?

For Freelance Mechanical Engineering Machine Learning jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Freelance Mechanical Engineering Machine Learning jobs in Utah look for?

The top searched job categories for Freelance Mechanical Engineering Machine Learning jobs in Utah are:

What cities in Utah are hiring for Freelance Mechanical Engineering Machine Learning jobs?

Cities in Utah with the most Freelance Mechanical Engineering Machine Learning job openings:

Freelance Mechanical Engineering Machine Learning jobs near you
Infographic showing various Freelance Mechanical Engineering Machine Learning job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior Machine Learning Engineer

Entrata

Lehi, UT • On-site

$144K - $233K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 days ago

Entrata rating

7.9

Company rating: 7.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

130th of 247 rated software companies

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.

$144,000 - $233,100 a year
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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