ZipRecruiter

Log In

1

Freelance Machine Learning Engineer Jobs in Springville, UT

Patientco

Senior Data Scientist

Lehi, UT

... data engineers to ensure data quality, accessibility, and integrity. * Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, evaluating and ...

Waystar

Senior Data Scientist

Lehi, UT · On-site

... data engineers to ensure data quality, accessibility, and integrity. * Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, evaluating and ...

Waystar

Senior Data Scientist

Lehi, UT · On-site

... data engineers to ensure data quality, accessibility, and integrity. * Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, evaluating and ...

Crew Career Center

Senior Data Scientist

Lehi, UT

... data engineers to ensure data quality, accessibility, and integrity. * Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, evaluating and ...

Waystar, Inc

Senior Data Scientist

Lehi, UT · On-site

$180 - $250/hr

... data engineers to ensure data quality, accessibility, and integrity. * Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, evaluating and ...

nCino

Senior Data Scientist

Lehi, UT · On-site

... machine learning, predictive modeling, and advanced analytics tools; proficient in multiple data-related programming languages • Proficient creating machine learning, predictive modeling, and ...

Waystar, Inc

Sr. Data Scientist

Lehi, UT · On-site

$80 - $120/hr

Work closely with Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning and analytical systems applied to design ...

nCino OpCo

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Applies developed knowledge and understanding of building large-scale machine learning, predictive modeling, and advanced analytics tools; proficient in multiple data-related programming languages

nCino

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Applies developed knowledge and understanding of building large-scale machine learning, predictive modeling, and advanced analytics tools; proficient in multiple data-related programming languages

Adobe

Data Science Engineer

Lehi, UT

$107K - $129K/yr

Understanding of machine learning techniques, specifically involving supervised learning applied to ... engineering preferred, or related work experience * Knowledge of Microsoft Office, specifically ...

Pattern

Data Engineer

Lehi, UT

$107K - $129K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... We are seeking a scrappy and motivated Data Engineer to join our growing team. In this role, you ...

Pattern

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... We are seeking a scrappy and motivated Data Engineer to join our growing team. In this role, you ...

Pattern

Data Engineer

Lehi, UT

$107K - $129K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... We are seeking a scrappy and motivated Data Engineer to join our growing team. In this role, you ...

3M HEALTHCARE

Senior Data Scientist

Lehi, UT · On-site

$107.90 - $183.40/hr

Develop, deploy, and monitor complex machine learning models. * Lead teams in implementing programming best practices and adopting emerging technologies. * Leverage AI tools to enhance software ...

Neighbor

Senior Software Engineer

Lehi, UT

$115K - $151K/yr

We are looking for legendary engineers. You know the type. When you are at lunch and a story starts ... Machine-learning / Data Science * Technical leadership Benefits * Stock options * Medical, dental ...

Neighbor

Senior Software Engineer

Lehi, UT · On-site

$115K - $151K/yr

We are looking for legendary engineers. You know the type. When you are at lunch and a story starts ... Machine-learning / Data Science * Technical leadership Benefits * Stock options * Medical, dental ...

Neighbor

Senior Software Engineer

Lehi, UT

$115K - $151K/yr

We are looking for legendary engineers. You know the type. When you are at lunch and a story starts ... Machine-learning / Data Science * Technical leadership Benefits * Stock options * Medical, dental ...

Pattern

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... As a Senior Data Engineer, you will be a high-impact "Game Changer" responsible for architecting ...

Pattern

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... As a Senior Data Engineer, you will be a high-impact "Game Changer" responsible for architecting ...

previous page

Showing results 41-60

All JobsMachine Learning Engineer JobsFreelance Machine Learning Engineer JobsFreelance Machine Learning Engineer Jobs in Springville, UT

Freelance Machine Learning Engineer information

See Springville, UT salary details

$13

$44

$122

How much do freelance machine learning engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for freelance machine learning engineer in Springville, UT is $44.37, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $57.45 per hour, depending on experience, location, and employer.

What does a freelance machine learning engineer do?

A Freelance Machine Learning Engineer designs, develops, and implements machine learning models and algorithms for clients on a project basis. They work independently to analyze data, build predictive models, and help businesses solve complex problems using AI and machine learning techniques. Their responsibilities may also include data preprocessing, model evaluation, and deploying solutions into production environments. Freelance Machine Learning Engineers often collaborate remotely with teams and must manage their own schedules and client relationships.

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

To thrive as a Freelance Machine Learning Engineer, you need expertise in programming (especially Python), a solid grasp of machine learning algorithms, and a relevant academic background such as a degree in computer science, mathematics, or engineering. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP, Azure), and experience with version control systems are typically required. Strong problem-solving, self-management, and client communication skills help set successful freelancers apart. These competencies are crucial for delivering effective solutions, managing projects independently, and building client trust in a competitive market.

How do freelance machine learning engineers typically manage client expectations and project scopes?

Freelance machine learning engineers often work with clients who may not have a deep technical understanding of AI or data science. A common challenge is clearly defining the project scope and deliverables at the outset, ensuring both parties understand what is feasible given the data, time, and budget constraints. Successful freelancers use regular progress updates, milestone-based deliverables, and transparent communication to manage expectations and avoid scope creep. Building trust through clear documentation and setting realistic timelines also helps foster long-term client relationships.

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

AspectFreelance Machine Learning EngineerData Scientist
CredentialsTypically requires a degree in computer science, data science, or related fields; certifications in machine learning or AI are a plusUsually holds a degree in statistics, data science, or related areas; certifications in data analysis or visualization are common
Work EnvironmentIndependent, project-based work often remotely for various clientsOften employed full-time in organizations or consulting roles, sometimes freelance
Industry UsageUsed across tech, finance, healthcare, and startups for deploying ML modelsApplied in research, analytics, and strategic decision-making across industries

Freelance Machine Learning Engineers focus on developing and deploying ML models independently for diverse clients, while Data Scientists analyze data to extract insights, often working within organizations. Both roles require strong technical skills, but their work scope and environment differ significantly.

What cities near Springville, UT are hiring for Freelance Machine Learning Engineer jobs?

Cities near Springville, UT with the most Freelance Machine Learning Engineer job openings:

Freelance Machine Learning Engineer jobs near you
Infographic showing various Freelance Machine Learning Engineer job openings in Springville, UT as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $92,287 per year, or $44.4 per hour.

Senior Data Scientist

Patientco

Lehi, UT

Full-time

Medical, Retirement, PTO

Posted 7 days ago

Job description

ABOUT THIS POSITION

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Incumbents whose primary role is technical and focused on data storage, warehousing and systems architecture should be matched to Database Engineering or Storage Engineering. Incumbents whose focus is the quantitative analysis of complex business problems and issues using data from internal and external sources to provide insight to decision-makers should be matched to Business Intelligence. Incumbents whose primary role is technical and focused on designing and building system-generated reports, reporting tools and dashboards for data generation should be matched to Data Informatics. Incumbents whose focus is primarily on experimental design and advanced or complex statistical analysis and modeling of datasets should be matched to Statistician/Mathematician. This is a product engineering role in which employees work with multiple types of business data. Incumbents whose focus is primarily on analysis and modeling of financial, marketing or pricing data should be matched to Finance, Market Research or Pricing as appropriate. May be internal operations-focused or external client-focused, working in conjunction with Professional Services and outsourcing functions.

WHAT YOU'LL DO

* Lead the design, development, and implementation of sophisticated machine learning models and predictive analytics solutions to solve critical business problems.
* Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning within the team.
* Collaborate with cross-functional teams (engineering, product, business stakeholders) to define data science project requirements, scope, and deliverables.
* Conduct in-depth data exploration, analysis, and visualization to identify trends, patterns, and anomalies, presenting findings clearly and concisely to diverse audiences.
* Develop and maintain robust data pipelines and infrastructure in collaboration with data engineers to ensure data quality, accessibility, and integrity.
* Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, evaluating and recommending new technologies and methodologies.
* Contribute to the strategic direction of Waystar's data science initiatives, identifying opportunities for innovation and impact.
* Champion data-driven decision-making throughout the company, educating and influencing stakeholders on the power of data science.
* Evaluate and select appropriate statistical methods and machine learning algorithms for various business challenges, ensuring rigor and validity.

WHAT YOU'LL NEED

* Master's or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
* 8+ years of progressive experience in data science, with a proven track record of delivering impactful data-driven solutions in a fast-paced environment.
* Expert-level proficiency in Python and/or R for data manipulation, statistical analysis, and machine learning model development.
* Extensive experience with various machine learning techniques (e.g., supervised, unsupervised, reinforcement learning, deep learning) and their practical applications.
* Strong understanding of statistical modeling, experimental design, hypothesis testing, and causal inference.
* Proficiency in SQL for data querying and manipulation, with experience working with large-scale datasets.
* Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable.
* Excellent communication, presentation, and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.
* Demonstrated ability to lead projects, mentor team members, and drive successful outcomes.
* Prior experience in the healthcare technology or financial services industry is a plus.

ABOUT WAYSTAR

Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.

Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful,optimistic & fun.

Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.comor follow @Waystaron Twitter.

WAYSTAR PERKS

  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks +13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Apply