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Freelance Applied Scientist Machine Learning Jobs in Utah

Entrata

Senior Machine Learning Engineer

Lehi, UT · On-site +1

$98K - $134K/yr

We are seeking a Senior Machine Learning Engineer to help build and scale Entrata's applied AI ... Bachelor's or advanced degree in Computer Science, Machine Learning, Engineering, or a related ...

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 ... Bachelor's or advanced degree in Computer Science, Machine Learning, Engineering, or a related ...

Jobtailor

Data Scientist

Lehi, UT · On-site

$90 - $130/hr

... applied professional experience * Working knowledge of Python and SQL * Understanding of ... Machine Learning Frameworks #J-18808-Ljbffr

Entrata

Senior Data Scientist

Lehi, UT · On-site +1

Minimum Qualifications: * 5+ years of experience in data science, machine learning, applied AI, or a related field. * Hands-on experience working with large language models, including fine-tuning ...

Entrata

Senior Data Scientist

Lehi, UT · On-site +1

$133K - $213K/yr

Minimum Qualifications: * 5+ years of experience in data science, machine learning, applied AI, or a related field. * Hands-on experience working with large language models, including fine-tuning ...

iNovex Information Systems

Data Scientist 2

Ogden, UT · On-site

Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field, a degree in ...

Varsity Tutors

Machine Learning Tutor

Logan, UT · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Provo, UT · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Spanish Fork, UT · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... 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

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Waystar

Sr. Data Scientist

Lehi, UT · On-site

... machine learning and analytical systems applied to design information and user behavior • Works closely with Application Engineering teams to gather and process data, as well as in surfacing ...

Waystar, Inc

Data Scientist

Lehi, UT · On-site

$90 - $120/hr

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... implementing machine learning and analytical systems applied to design information and user ...

Patientco

Data Scientist

Lehi, UT

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... machine learning and analytical systems applied to design information and user behavior

Waystar

Data Scientist

Lehi, UT · On-site

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... machine learning and analytical systems applied to design information and user behavior * Works ...

Crew Career Center

Data Scientist

Lehi, UT · On-site

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... machine learning and analytical systems applied to design information and user behavior

Waystar

Sr. Data Scientist

Lehi, UT · On-site

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... machine learning and analytical systems applied to design information and user behavior * Works ...

Patientco

Sr. Data Scientist

Lehi, UT

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... machine learning and analytical systems applied to design information and user behavior

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All JobsApplied Scientist Machine Learning JobsFreelance Applied Scientist Machine Learning JobsFreelance Applied Scientist Machine Learning Jobs in Utah

Freelance Applied Scientist Machine Learning information

What does a freelance applied scientist in machine learning do?

A Freelance Applied Scientist in Machine Learning is a professional who independently works with clients or organizations to design, develop, and implement machine learning models and solutions. Their responsibilities typically include data analysis, building predictive models, and translating business problems into data-driven solutions. They may also be involved in researching new algorithms, optimizing existing models, and communicating findings to stakeholders. Since they work on a freelance basis, they often manage multiple projects and clients simultaneously.

What are the key skills and qualifications needed to thrive as a freelance applied scientist in machine learning?

To excel as a Freelance Applied Scientist in Machine Learning, you need a solid background in mathematics, statistics, and computer science, typically supported by an advanced degree and strong programming skills in Python or similar languages. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and data analysis tools is essential, along with relevant certifications like TensorFlow Developer or AWS Machine Learning. Strong problem-solving abilities, self-motivation, and effective communication are crucial for managing projects independently and collaborating with diverse clients. These skills enable successful delivery of high-impact solutions tailored to client needs, ensuring both technical excellence and client satisfaction.

How do freelance applied scientists in machine learning typically collaborate with clients and teams remotely?

Freelance applied scientists in machine learning often work remotely, communicating with clients and teams through regular video calls, messaging platforms, and project management tools. Collaboration usually involves understanding client requirements, clarifying data needs, and providing frequent updates on project progress. Since projects may require input from software engineers, data analysts, or product managers, strong communication skills and the ability to document work clearly are crucial. Freelancers also need to proactively manage their schedules and expectations, as they frequently juggle multiple projects or stakeholders at once.

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

AspectFreelance Applied Scientist Machine LearningFreelance Data Scientist
CredentialsAdvanced degrees in ML, AI, or related fieldsDegrees in Data Science, Statistics, or related fields
Work EnvironmentFocus on developing ML models, algorithms, and AI solutionsData analysis, visualization, and statistical modeling
Industry UsageUsed in AI-driven products, research, and advanced analyticsApplied in business insights, reporting, and data-driven decision making

Freelance Applied Scientist Machine Learning professionals specialize in developing and deploying machine learning models and AI solutions, often requiring advanced technical credentials. Freelance Data Scientists focus on analyzing data, creating reports, and deriving insights, with a broader scope of statistical skills. Both roles are in high demand but serve different purposes within data and AI projects.

What are popular job titles related to Freelance Applied Scientist Machine Learning jobs in Utah?

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

What job categories do people searching Freelance Applied Scientist Machine Learning jobs in Utah look for?

The top searched job categories for Freelance Applied Scientist Machine Learning jobs in Utah are:

What cities in Utah are hiring for Freelance Applied Scientist Machine Learning jobs?

Cities in Utah with the most Freelance Applied Scientist Machine Learning job openings:

Freelance Applied Scientist Machine Learning jobs near you

Senior Machine Learning Engineer

Entrata

Lehi, UT • On-site, Remote

$98K - $134K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago

Entrata rating

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

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.

What Entrata employees say

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