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Freelance Machine Learning Engineer Jobs in Wyoming

Machine Operator

Sheridan, WY ยท On-site

$20 - $24/hr

Work closely with Maintenance and Programming to resolve equipment alarms, calibration issues, or ... Demonstrate a positive attitude toward learning new equipment, processes, and technologies.

Machine Operator

Sheridan, WY ยท On-site

$17 - $20.25/hr

Work closely with Maintenance and Programming to resolve equipment alarms, calibration issues, or ... Demonstrate a positive attitude toward learning new equipment, processes, and technologies.

$126K - $171K/yr

The Senior Data Engineer guides the development of GFS' Data Platform consisting of the data lake ... Experience working with artificial intelligence / machine learning platforms and practices. BE PART ...

The Critical Facility Engineer will be a part of the Facility Operations team responsible for ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Showing results 41-60

Freelance Machine Learning Engineer information

See Wyoming salary details

$14

$45

$127

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

As of Aug 7, 2026, the average hourly pay for freelance machine learning engineer in Wyoming is $45.86, according to ZipRecruiter salary data. Most workers in this role earn between $23.32 and $59.38 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 are popular job titles related to Freelance Machine Learning Engineer jobs in Wyoming? For Freelance Machine Learning Engineer jobs in Wyoming, the most frequently searched job titles are:
What job categories do people searching Freelance Machine Learning Engineer jobs in Wyoming look for? The top searched job categories for Freelance Machine Learning Engineer jobs in Wyoming are:
What cities in Wyoming are hiring for Freelance Machine Learning Engineer jobs? Cities in Wyoming with the most Freelance Machine Learning Engineer job openings:
Infographic showing various Freelance Machine Learning Engineer job openings in Wyoming 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, with an average salary of $95,382 per year, or $45.9 per hour.

Data Analyst - SQL, Python & Power BI

SynergisticIT

Cheyenne, WY โ€ข On-site

Other

Posted 21 days ago


Job description

Data Career Starter โ€” From Spreadsheets to SQL, Python, and Dashboards If you enjoy working with spreadsheets, reports, patterns, and business questions, a data career may be a natural next step. But to compete for data roles, candidates need to move beyond basic reporting and show technical ability with SQL, Python, dashboards, and data storytelling. SynergisticIT is looking for candidates interested in data analytics, SQL, Python, Excel, Tableau, Power BI, data cleaning, visualization, reporting, and business insights. This opportunity is ideal for recent graduates, career switchers, and professionals who want to move from business operations into data-focused roles. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Explore JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ SynergisticIT JOPP is good for data career starters because it helps structure the transition. Candidates can strengthen tool knowledge, build practical projects, prepare for interviews, and position their background in a way that makes sense to hiring managers. Instead of only saying you are interested in data, you can work toward showing proof. Turn your analytical mindset into a data career pathโ€”Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.