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Home Based Python Machine Learning Jobs in Salt Lake City, UT

Data Scientist

Lehi, UT · On-site

$90 - $130/hr

Exposure to AI or machine-learning tools, frameworks, APIs, or cloud-based AI services * Experience ... Python Programming * SQL Proficiency * Machine Learning ATS Optimization Keywords Hard Skills

... based features in core products • Works on groundbreaking new applications of machine learning ... Python predictive modeling • Demonstrated competency in RDBMS (e.g. SQL Server) • Ability to ...

Senior Climate Analytics Specialist

Salt Lake City, UT · On-site

$84K - $103K/yr

... cloud-based, big data experience to support our broad portfolio of work on climate risk and ... Our climate risk analytics leverage rigorous science, machine learning, distributed computing, and ...

... Machine Learning-based solutions at scale. Your work will involve designing AI systems, data ... using Python and TensorFlow - Integrating data from various sources to create unified views for ...

Senior AI/ML Engineer

Draper, UT · On-site

$100 - $130/hr

Work from home, in our Utah office, or in a hybrid model (depending on role). The Role * You'll be ... machine learning (Python). * Experience building production-ready systems with cloud platforms (AWS)

Showing results 21-40

Home Based Python Machine Learning information

See Salt Lake City, UT salary details

$12

$56

$83

How much do home based python machine learning jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for home based python machine learning in Salt Lake City, UT is $56.73, according to ZipRecruiter salary data. Most workers in this role earn between $46.78 and $64.42 per hour, depending on experience, location, and employer.

What is the difference between Home Based Python Machine Learning vs Data Analyst?

AspectHome Based Python Machine LearningData Analyst
Required CredentialsPython programming, machine learning certifications, data analysis skillsData analysis certifications, SQL, Excel, Python or R knowledge
Work EnvironmentRemote, home-based, often project-focusedRemote or on-site, business or client-focused
Industry UsageTech, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare
Common Search/ComparisonYesYes

Home Based Python Machine Learning and Data Analyst roles share overlapping skills like data handling and analysis tools. However, Python Machine Learning focuses more on developing algorithms and models using Python, while Data Analysts primarily interpret data to generate reports and insights. Both roles are in demand for remote work and require analytical skills, but Python Machine Learning positions often demand more advanced programming and machine learning expertise.

What are popular job titles related to Home Based Python Machine Learning jobs in Salt Lake City, UT?

For Home Based Python Machine Learning jobs in Salt Lake City, UT, the most frequently searched job titles are:

What job categories do people searching Home Based Python Machine Learning jobs in Salt Lake City, UT look for?

The top searched job categories for Home Based Python Machine Learning jobs in Salt Lake City, UT are:

What cities near Salt Lake City, UT are hiring for Home Based Python Machine Learning jobs?

Cities near Salt Lake City, UT with the most Home Based Python Machine Learning job openings:

Infographic showing various Home Based Python Machine Learning job openings in Salt Lake City, UT as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $117,995 per year, or $56.7 per hour.

Machine Learning Platform Engineer - Backend Services (Utah)

Waystar

Lehi, UT • On-site

Full-time

Re-posted 17 days ago


Job description

Job Summary:
Waystar is a leading company in healthcare payment solutions, seeking a Machine Learning Platform Engineer - Backend Services to enhance their platform for predictive models and data analysis. The role involves developing and maintaining machine learning frameworks, collaborating with data science teams, and ensuring the reliability of production systems.
Responsibilities:
• Develop and enhance the machine learning platform to manage the full model life cycle
• Build frameworks and tools to enable the data science team developing and enhancing predictive models, support scalable real-time predictions in production
• Design and implement data engineering solutions for model training
• Expand NLP capabilities with advanced analysis techniques to improve text understanding
• Design and implement high-performance, scalable services and applications
• Collaborate with team members to create integrated solutions and ensure timely delivery of quality software and documentation
• Understand and adhere to development standards for consistency across teams
• Perform in-depth technical and performance analyses to troubleshoot production issues
• Monitor and maintain production systems for reliability and efficiency
Qualifications:
Required:
• Bachelor’s degree in Computer Science or related area, Masters preferred
• 7+ years of professional experience writing Python or Java code, with at least 3 years building data platforms
• Expert proficiency with SQL
• NLP
• Seasoned practitioner of engineering best practices such as CI/CD and automated testing
• Comfort working in a Linux environment
• Passion for exploring, applying and following the evolution of cutting edge technologies related to AI, machine learning, NLP and large scale data processing
• Professional experience with MLOps, Docker, Kubernetes, relational databases (PostgreSQL preferred), Kafka, REST API design, and microservices application architectures
• Experience with public cloud solutions, such as AWS or GCP
• Proven track record of successful delivery of progressively complex technical projects
• Coaching and mentoring junior engineers in the team
• Team player DNA with a positive, self-starter attitude
• Attention to detail, highly organized, with an absolute focus on quality of work
Preferred:
• Familiarity with ClearML, Triton, PyTorch, and TensorFlow
• Familiarity with statistics and healthcare domain
• Proven expertise in successful large project/build management and execution
Company:
Waystar is a technology platform that provides healthcare revenue cycle management solutions. Founded in 2017, the company is headquartered in Louisville, USA, with a team of 1001-5000 employees. The company is currently Late Stage.