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Remote Machine Learning Jobs in Provo, UT (NOW HIRING)

NetDocuments

Staff FinOps Engineer

Lehi, UT · On-site +1

Two-time winner (2024, 2023) Top Workplace Innovation * 2025 Remote Work * 2024 Technology Industry ... Establish financial visibility and governance models for AI and machine learning workloads ...

Consor Engineers

Transportation Engineer

Draper, UT · On-site +1

$100/hr

... copy machines. May require occasional exposure to work environments that may include inclement ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Consor Engineers

Stormwater Engineer

Draper, UT · On-site +1

$100/hr

Routinely requires the use of standard office equipment such as computers, phones and copy machines ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Consor Engineers

Stormwater Engineer

Draper, UT · On-site +1

$100/hr

Routinely requires the use of standard office equipment such as computers, phones and copy machines ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Consor Engineers

Stormwater Engineer

Draper, UT · On-site +1

$100/hr

Routinely requires the use of standard office equipment such as computers, phones and copy machines ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Consor Engineers

Transportation Engineer

Draper, UT · On-site +1

$100/hr

... copy machines. May require occasional exposure to work environments that may include inclement ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Consor Engineers

Transportation Engineer

Draper, UT · On-site +1

$100/hr

... copy machines. May require occasional exposure to work environments that may include inclement ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Consor Engineers

Transportation Engineer

Draper, UT · On-site +1

$100/hr

... copy machines. May require occasional exposure to work environments that may include inclement ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Consor Engineers

Stormwater Engineer

Draper, UT · On-site +1

$100/hr

Routinely requires the use of standard office equipment such as computers, phones and copy machines ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Consor Engineers

Stormwater Engineer

Draper, UT · On-site +1

$100/hr

Routinely requires the use of standard office equipment such as computers, phones and copy machines ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Akraya

Gaming Software Engineer:

Lehi, UT · Remote

$101.34 - $105.63/hr

Remote as per CST time zone Pay Range: $101.34 - $105.63 per hour on w-2 Job Summary: Join our innovative game development team on a contractual basis as a Senior Contract Software Engineer. In this ...

Akraya Inc.

Gaming Software Engineer: 25-05356

Lehi, UT · On-site +1

$101.34 - $105.63/hr

Remote as per CST time zone Pay Range: $101.34 - $105.63 per hour on w-2 Job Summary: Join our innovative game development team on a contractual basis as a Senior Contract Software Engineer. In this ...

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Showing results 1-20

All JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Provo, UT

Remote Machine Learning information

See Provo, UT salary details

$24.1K

$40.3K

$83.2K

How much do remote machine learning jobs pay per year?

As of Jun 19, 2026, the average yearly pay for remote machine learning in Provo, UT is $40,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,700.00 and $43,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

Can I work remotely as a machine learning engineer?

Yes, many machine learning engineer roles are available for remote work, especially in companies that support flexible or distributed teams. Remote positions often require strong skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch, along with good communication skills. However, some roles may require on-site presence for collaboration or access to specialized hardware.

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.

Which 5 jobs will survive AI?

Remote machine learning roles such as data scientists, AI researchers, machine learning engineers, AI product managers, and AI ethics specialists are expected to persist as AI advances. These jobs require specialized skills in programming, statistical analysis, and domain expertise that are difficult to fully automate. Continuous learning and proficiency in tools like Python, TensorFlow, or PyTorch are essential for these roles.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in competitive markets.

Are ML jobs in demand?

Machine Learning (ML) jobs are in high demand across various industries such as technology, finance, healthcare, and retail. The growth is driven by increasing adoption of AI solutions, data-driven decision making, and the need for expertise in programming, data analysis, and model deployment, making ML a promising career path.

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.

More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Provo, UT? The most popular types of Machine Learning jobs in Provo, UT are:
What cities near Provo, UT are hiring for Remote Machine Learning jobs? Cities near Provo, UT with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Staff FinOps Engineer

Staff FinOps Engineer

NetDocuments

Lehi, UT • On-site, Remote

Full-time

Life, Retirement, PTO

Posted 27 days ago

Job description

NetDocuments is committed to providing an excellent candidate experience and will never ask you to engage in recruitment activity without phone, video, and in person meetings and communications from emails using the @netdocuments.com domain. If you have any concerns or questions about communications you have received, please send them to hrgroup@netdocuments.com so our team members can review.
NetDocuments is the world's #1 trusted cloud-based content management and productivity platform that helps legal professionals do their best work. We strive to win together through passionate hard work, exploring new things and recognizing every interaction matters.
NetDocuments provides rewarding career growth in an inclusive, diverse environment where employees are encouraged to openly contribute creative ideas and innovation, backed by supportive peers and leadership working together to achieve our goals as a unified team.
At our core, we are dedicated to empowering our employees to drive successful business outcomes and better user experiences for our customers and partners. Our customer-centric approach and employee enablement has allowed us to enjoy many accolades, including being named among the 2022, 2023, & 2024 list of Inc. Magazine's 5000 Fastest-Growing Private Companies in America.
Other recent awards include:
  • Five-time winner (2025, 2024, 2023, 2022, 2021) Top Workplace in the US by the Salt Lake Tribune
  • Four-time winner (2025, 2023, 2022, 2021) Best Companies to Work for by Utah Business magazine
  • Three-time winner (2025, 2023, 2022) Top Workplace Employee Appreciation and Employee Well-Being
  • Three-time winner (2024, 2023, 2022) Top Workplace Work-Life Flexibility
  • Three-time winner (2024, 2023, 2022) Top Workplace Compensation & Benefits
  • Two-time winner (2024, 2023) National Top Workplaces
  • Two-time winner (2024, 2023) Top Workplace Innovation
  • 2025 Remote Work
  • 2024 Technology Industry

NetDocuments is a hybrid, remote-friendly workplace. Come join our team and work inspired each day!
What You'll Do
NetDocuments is seeking a Staff FinOps Engineer to lead cloud financial operations across AWS and Azure. In this role, you will drive financial governance, cost visibility, and optimization strategies across a large-scale multi-cloud SaaS environment, partnering closely with CloudOps, Engineering, Finance, and leadership teams to improve operational efficiency and maximize business value.
This is a highly strategic and hands-on role grounded in the FinOps Foundation Framework, with direct accountability for translating financial insights into engineering action and measurable cost optimization outcomes.
You will:
Lead Cloud Financial Strategy & Governance
  • Drive FinOps practices across AWS and Azure using the FinOps Foundation Framework domains: Understand Usage and Cost, Quantify Business Value, Optimize Usage and Cost, and Manage the FinOps Practice.
  • Establish and maintain cost allocation models, tagging standards, and governance frameworks that enable accurate, actionable financial visibility.
  • Develop and enforce cloud financial policies, standards, and operational best practices across Engineering and CloudOps teams.
  • Partner with leadership to support cloud cost reduction initiatives and long-term infrastructure efficiency goals.

Drive Cost Visibility & Financial Insights
  • Own and manage CloudZero configuration, including taxonomy, tagging governance, and cost allocation rules.
  • Deliver actionable reporting and analysis for Engineering, Product, Finance, and leadership stakeholders, including anomaly detection, trend analysis, forecasting, and variance reporting.
  • Maintain visibility across AWS, Azure, Datadog, Elastic, and related platforms.
  • Advance cost intelligence initiatives, including unit economics and cost-per-customer analysis.

Optimize Cloud & SaaS Spend
  • Identify and drive optimization opportunities across Reserved Instances, Savings Plans, rightsizing, storage optimization, and SaaS licensing.
  • Develop and maintain utilization and cost-per-unit reporting across key infrastructure and vendor platforms.
  • Partner with Engineering teams to improve cost-aware architecture and operational decision-making.
  • Track optimization initiatives through measurable outcomes and ongoing KPI reporting.

Build & Scale the FinOps Practice
  • Embed FinOps processes into budgeting, forecasting, operational reviews, and engineering workflows.
  • Coach Engineering and CloudOps teams on cost accountability and sustainable financial operations under a "You Build It, You Run It" model.
  • Automate repeatable governance and reporting workflows using SQL, Python, and infrastructure tooling.
  • Drive adoption of emerging FinOps standards such as the FinOps Open Cost and Usage Specification (FOCUS).

Support Emerging AI & Platform Cost Management
  • Establish financial visibility and governance models for AI and machine learning workloads, including cost-per-token analysis and budget guardrails.
  • Partner with teams across the organization to evaluate evolving infrastructure usage patterns and cost drivers.
  • Help shape scalable financial operating models for emerging technologies and cloud-native platforms.

What You'll Need to Be Successful
  • 5+ years of experience in cloud financial management, FinOps, cloud infrastructure operations, or related disciplines.
  • Deep expertise in AWS cost architecture and strong working knowledge of Azure cost management.
  • Experience administering FinOps platforms, including ownership of cost allocation rules, tagging governance, and financial reporting structures.
  • Strong proficiency in SQL and Python for reporting, analysis, and automation.
  • Experience building cloud cost forecasts, financial models, and executive-level variance reporting.
  • Strong understanding of AWS cost optimization strategies, including Reserved Instances, Savings Plans, and enterprise discount models.
  • Experience implementing governance policies using Terraform, AWS Service Control Policies, or similar infrastructure-as-code approaches.
  • Demonstrated ability to influence Engineering teams and drive operational change without direct authority.
  • Strong analytical, communication, and stakeholder management skills.
  • Applied understanding of the FinOps Foundation Framework, including its principles, capabilities, and operating model.

What Will Make You Stand Out
  • FinOps Certified Practitioner or FinOps Certified Engineer certification.
  • Experience with CloudZero or similar enterprise FinOps platforms.
  • Experience with Azure Enterprise Agreement or Microsoft Customer Agreement discount structures.
  • Working knowledge of Terraform or CloudFormation for infrastructure and architecture reviews.
  • Experience in SaaS environments where infrastructure costs directly impact gross margin performance.
  • Experience managing cloud financial operations for AI or machine learning workloads.

What You'll Love About NetDocuments
  • The People!
  • HSA company contribution
  • 401K match at 4%
  • Flexible PTO (typically 3 to 4 weeks a year)
  • 10 paid holidays
  • Monthly contributions for life activities & wellness
  • Access to LinkedIn learning with monthly dedicated time to explore

Compensation Transparency
The compensation range for this position is: $125,000 - $150,000
The posted cash compensation for this position includes on target earnings. Some roles may qualify for overtime pay. Individual compensation packages are determined based on various factors specific to each candidate, such as career level, skills, experience, geographic location, qualifications, and other job-related considerations.
Equal Opportunity
NetDocuments is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. All employment decisions are based on business needs, job requirements, individual qualifications, without regard to race, color, religion, sex, (including pregnancy), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity and/or expression, military and veteran status, or any other status protected by laws or regulations in the locations where we operate. NetDocuments believes diversity and inclusion among our employees is critical to our success, and we are committed to providing a work environment free of discrimination and harassment.

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