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Remote Machine Learning Jobs in American Fork, UT

Data science software developer

Murray, UT · On-site +1

$124K - $170K/yr

... another machine learning framework * 3 years of experience developing cloud-hosted applications ... Remote Relocation Assistance: Not authorized Must be legally authorized to work in country of ...

Data science software developer

Murray, UT · On-site +1

$124K - $170K/yr

... another machine learning framework * 3 years of experience developing cloud-hosted applications ... Remote Relocation Assistance: Not authorized Must be legally authorized to work in country of ...

Product Manager AI Platforms

Draper, UT · On-site +1

$144K - $250K/yr

... machine learning technologies * Experience building AI-powered, data, platform, developer, SaaS ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

... machine learning systems extract from published legal materials. This role is ideal for law ... Nationwide, current student at any accredited law school in the US, open to in-office or remote ...

... machine learning systems extract from published legal materials. This role is ideal for law ... Nationwide, current student at any accredited law school in the US, open to in-office or remote ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... This is a full time role and will work a remote schedule from Lehi, Utah. What is a day in the life ...

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Showing results 41-60

Remote Machine Learning information

See American Fork, UT salary details

$22.8K

$38.1K

$78.7K

How much do remote machine learning jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote machine learning in American Fork, UT is $38,065.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,100.00 and $41,100.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Machine Learning jobs in American Fork, UT?

The most popular types of Machine Learning jobs in American Fork, UT are:

What are popular job titles related to Remote Machine Learning jobs in American Fork, UT?

For Remote Machine Learning jobs in American Fork, UT, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning jobs in American Fork, UT look for?

The top searched job categories for Remote Machine Learning jobs in American Fork, UT are:

What cities near American Fork, UT are hiring for Remote Machine Learning jobs?

Cities near American Fork, UT with the most Remote Machine Learning job openings:

Infographic showing various Remote Machine Learning job openings in American Fork, UT as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 22% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $38,065 per year, or $18.3 per hour.

Large Market | Enterprise Sales Executive (Remote)

Snap Finance

West Valley City, UT • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago


Job description

Company Overview:
At Snap Finance, we believe everyone deserves access to the things they need, regardless of credit history. Since 2012, we've used data, machine learning, and a more human approach to create flexible financing solutions that help people move forward. We're proud of our inclusive, supportive culture, built on empowering our customers, partners, and team members alike. When our people thrive, so does our innovation.
If you're looking to make an impact and grow with a team that values you, come join us!
Job Description
We are seeking a strategic, results-driven Large Market | Enterprise Sales Executive to lead new customer acquisition across large market and enterprise accounts. This role owns the end-to-end sales motion-from structured discovery through negotiation and close-while partnering closely with cross-functional teams to deliver customized, solutions-oriented outcomes.
This position is ideal for a consultative seller who thrives in complex, regulated, or solutions-heavy environments and operates with high accountability, forecasting discipline, and executive presence.
How you'll make an impact:
  • Lead complex enterprise sales cycles across large market and strategic accounts, owning opportunities from discovery through negotiation and close with clear deal strategy and executive alignment.
  • Drive new customer acquisition and territory strategy, developing a focused account plan and building a diversified pipeline aligned to revenue targets.
  • Build compelling business cases and value narratives, leveraging strong financial acumen to articulate ROI and align solutions to executive-level priorities.
  • Quarterback cross-functional deal execution, partnering closely with Product, Solutions, Marketing, Legal, Pricing, and post-signature Account Management to deliver tailored, high-impact outcomes.
  • Ensure operational rigor through disciplined CRM utilization, proactive pipeline management, and reliable forecasting accuracy.
  • Use analytical tools (Excel, Tableau, PowerPoint, etc.) to derive insights, prepare for leadership forums, and support data-driven sales strategy.
  • Demonstrate executive presence and professionalism, communicating with clarity, maturity, and confidence across senior stakeholders and internal teams.
  • Own results with accountability and planned urgency, consistently delivering against quota while maintaining a resilient, team-first approach.
  • Champion a team-first culture, approaching challenges with positivity, resilience, and a strong sense of ownership.

What you'll need to succeed:
  • 6+ years of B2B sales experience, including significant exposure to large market and/or enterprise sales cycles, ideally at companies operating at $1B+ in annual revenue.
  • Demonstrated success closing complex, multi-stakeholder deals in fintech or similarly regulated / solutions-oriented environments.
  • Strong consultative selling skills with business and financial acumen and experience building ROI models or value-based business cases.
  • Proven analytical capabilities, with fluency in Excel and comfort with BI tools (Tableau or similar) and presentation tools (PowerPoint, etc.).
  • Detail-oriented with a high level of dependability, reliability, and personal ownership of outcomes.
  • An unshakably positive, team-oriented approach, with a natural ability to motivate, collaborate, and resolve issues constructively while operating within structured sales processes.
  • High operational discipline, including CRM management and forecast accuracy.
  • Excellent written and verbal communication skills, with comfort engaging executive stakeholders.
  • Experience selling fintech, lending, payments, or financial ecosystem solutions.
  • Highly dependable with strong ownership mindset and accountability.
  • Bachelors degree (MBA preferred)

Why Join Us:
  • Generous paid time off
  • Competitive medical, dental & vision coverage
  • 401K with company match for US
  • Company-paid life insurance
  • Company-paid short-term and long-term disability
  • Access to mental health and wellness resources
  • Company-paid volunteer time to do good in your community
  • Legal coverage and other supplemental options
  • A value-based culture where growth opportunities are endless

More:
Snap values diversity and all qualified applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Learn more by visiting our website at www.snapfinance.com.
California Residents, please review our California Consumer Privacy Act Notice at https://snapfinance.com/ccpa-notice