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Remote Machine Learning Engineer Jobs in Utah (NOW HIRING)

This is a remote position available in the state listed on this job. Additionally, employment with ... Prior work on API token systems -- scoped tokens, machine-to-machine auth, token introspection, or ...

$53 - $70.25/hr

Exposure to machine learning pipelines or data engineering workflows. * Prior experience working in startup environments or high-growth technology companies. Benefits * Hybrid working as standard ...

Linear Algebra Tutor

Provo, UT ยท Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Linear Algebra Tutor

Logan, UT ยท Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Linear Algebra Tutor

Cedar City, UT ยท Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Linear Algebra Tutor

Spanish Fork, UT ยท Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Mechanical Engineering Tutor

Provo, UT ยท Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

Mechanical Engineering Tutor

Logan, UT ยท Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

Design systems for remote device provisioning, configuration, and software updates * Improve ... Experience mentoring engineers and leading technical initiatives * Excellent communication and ...

Cyber Operations Engineer III

Sandy, UT ยท On-site +1

$91K - $120K/yr

Remote Work: Enjoy the flexibility of working from home while optimizing your work-life balance ... Learn while you earn with award-winning learning platforms. * Paid Time Off: Competitive PTO ...

... learning and development. We embrace innovation and encourage creative problem solving to tackle ... Remote Monitoring * Collect and evaluate energy, weather, and building automation data on some ...

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Remote Machine Learning Engineer information

See Utah salary details

$28.7K

$117.2K

$176.2K

How much do remote machine learning engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for remote machine learning engineer in Utah is $117,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,400.00 and $141,100.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often reflects expertise, leadership roles, or working in competitive industries such as tech or finance, especially in organizations valuing AI development.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role is unlikely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing MLEs to focus on complex problem-solving, model optimization, and system integration. Continuous learning and expertise in programming, data handling, and model evaluation remain essential for MLEs in an evolving AI landscape.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, or PyTorch. Remote work arrangements depend on the employer's policies and the specific project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.
What are the most commonly searched types of Machine Learning Engineer jobs in Utah? The most popular types of Machine Learning Engineer jobs in Utah are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Utah? For Remote Machine Learning Engineer jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Remote Machine Learning Engineer jobs? Cities in Utah with the most Remote Machine Learning Engineer job openings:
Engineering Infrastructure Engineer (software/networking)

Engineering Infrastructure Engineer (software/networking)

Wavetronix

Springville, UT โ€ข On-site, Remote

$100K - $131K/yr

Full-time

Posted 20 days ago


Job description

Engineering Infrastructure Engineer (software/networking)

Wavetronix is seeking an Engineering Infrastructure Engineer to support and improve the systems, tooling, and automation workflows used across engineering. This role helps reduce the operational burden on product engineers by maintaining reliable development systems, improving consistency across teams, and supporting scalable engineering workflows.

This position is focused on engineering tooling and infrastructure that supports development work. The right candidate will be comfortable working across a broad set of systems, learning unfamiliar tools, troubleshooting ambiguous problems, and collaborating directly with engineers to improve how work gets done. This is not a pure software development role, and it is not a traditional IT support role. It is a hands-on engineering systems role with room to expand across engineering tooling and infrastructure over time.

The Engineering Infrastructure Engineer will have the ability and desire to accomplish the following goals.

First 30 days:
  • Begin developing a conceptual high-level understanding of the engineering systems landscape, including development platforms, CI/CD workflows, build and release processes, artifact and dependency management, and supporting infrastructure.
  • Build working relationships with engineers and stakeholders across teams to understand how systems are used in practice and where pain points exist.
  • Review existing tooling, automation, and documentation to understand current ownership, gaps, and opportunities for improvement.
First 90 days:
  • Develop practical familiarity with key systems and tools such as Azure DevOps, TeamCity, Black Duck, Coverity, build agents, selected Azure resources, virtual machines, automation scripts, and related engineering workflows.
  • Begin making small but meaningful improvements to engineering systems, tooling, or automation workflows with appropriate guidance and coordination.
  • Troubleshoot tooling and workflow issues with increasing independence, including identifying the right stakeholders, asking the right questions, and driving issues toward resolution.
  • Support changes to pipelines, build systems, permissions, automation, or related engineering tooling on a limited scale across the organization.
  • Contribute to documentation and standardization efforts so systems are easier to support, easier to understand, and less dependent on tribal knowledge.
First Year:
  • Operate effectively across a broad range of engineering systems, with the ability to go deeper into specific tools or workflows as needed.
  • Independently execute changes across engineering tooling and infrastructure, including development platforms, build agents, release pipelines, artifact flows, virtual machines, selected Azure resources, and internal automation.
  • Improve reliability, maintainability, and consistency across engineering development systems while reducing day-to-day operational burden on product engineers.
  • Develop trusted working relationships across engineering and become a dependable point of contact for tooling changes, troubleshooting, and workflow improvements.
  • Help establish clearer ownership, stronger documentation, and more standardized practices across engineering systems.
  • The ideal candidate will be a practical, systems-oriented engineer who is self-motivated, teachable, and eager to learn. They should be comfortable working in existing systems, exploring unfamiliar problems, and collaborating directly with others to move work forward. They take initiative, communicate clearly, and are willing to ask questions, gather context, and work across teams to find workable solutions
Required qualifications:
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent professional experience.
  • 3+ years of relevant experience in engineering tooling, build and release systems, CI/CD platforms, development infrastructure, or related technical roles.
  • Experience working with CI/CD systems, build pipelines, automation workflows, or engineering development platforms.
  • Solid scripting, automation, or programming ability, with the ability to read and modify existing code, write scripts, and build small internal tools when needed.
  • Ability to troubleshoot and improve complex existing systems rather than only working in greenfield environments.
  • Strong problem-solving skills and comfort working through ambiguous or previously unexplored technical issues.
  • Strong collaboration and communication skills, with the ability to work directly with engineers and stakeholders across teams.
Desired qualifications:
  • Experience with Azure DevOps and Azure-based engineering environments.
  • Experience with engineering systems such as CI/CD platforms, artifact and dependency management tools, build agents, code quality or security analysis systems, and similar development infrastructure.
  • Experience supporting embedded software or mixed software/firmware development workflows.
  • Experience with scripting in Bash or PowerShell, and programming in Node.js, Python, C#, or similar languages.
  • Experience with infrastructure as code or related configuration automation practices.
  • Experience improving documentation, standardizing workflows, or increasing reliability in shared engineering systems.
  • Exposure to engineering infrastructure, network-adjacent systems, or other environments that support development and testing workflows.
What success looks like:
  • Engineers spend less time dealing with tooling friction and operational overhead.
  • Build, CI/CD, and related development systems become more stable, more consistent, and easier to support.
  • Tooling issues are resolved faster and with clearer ownership.
  • Documentation and standard processes improve, reducing dependency on individual tribal knowledge.
  • The role grows into a trusted and capable steward of engineering development systems.
About Wavetronix

Wavetronix' purpose is to enable rewarding careers and foster personal development. We do this by creating innovative technologies that make the world's roads safer and more efficient. Our core values include putting people first and embracing a growth mindset. We encourage continuous learning and long-term growth, creating opportunities for individuals and people around them to thrive.

If you share our values and have the education and experience to help us create the most talented work force in the traffic radar industry, we encourage you to apply.

Wavetronix is an affirmative action equal opportunity employer. Wavetronix participates in the E-Verify program.

Please note: Wavetronix may communicate with candidates via text message through our applicant tracking system (Breezy) or directly from members of our hiring team. If you prefer not to receive text communications, please opt out of text messaging within your Breezy candidate profile.

Employment Type: FULL_TIME