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Remote Machine Learning Engineer Jobs in Salt Lake City, UT

Healthcare

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 ...

Solventum

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 ...

Experlogix

Technical Support Engineer

Salt Lake City, UT · Remote

Experience configuring virtual machines and remote desktop connections. * Strong written and verbal ... Curiosity, persistence, and a passion for learning new technologies and solving challenging ...

Posted today

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 ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Salt Lake City, UT

Remote Machine Learning Engineer information

See Salt Lake City, UT salary details

$30.5K

$124.6K

$187.3K

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

As of Aug 19, 2026, the average yearly pay for remote machine learning engineer in Salt Lake City, UT is $124,611.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,200.00 and $150,000.00 per year, depending on experience, location, and employer.

What is a remote machine learning engineer?

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.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

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 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.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

What are the most commonly searched types of Machine Learning Engineer jobs in Salt Lake City, UT?

The most popular types of Machine Learning Engineer jobs in Salt Lake City, UT are:

What are popular job titles related to Remote Machine Learning Engineer jobs in Salt Lake City, UT?

For Remote Machine Learning Engineer jobs in Salt Lake City, UT, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Engineer jobs in Salt Lake City, UT look for?

The top searched job categories for Remote Machine Learning Engineer jobs in Salt Lake City, UT are:

What cities near Salt Lake City, UT are hiring for Remote Machine Learning Engineer jobs?

Cities near Salt Lake City, UT with the most Remote Machine Learning Engineer job openings:

Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Salt Lake City, UT as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $124,611 per year, or $59.9 per hour.

DevOps & Google Cloud Platform Engineer

Medici Land Governance

Salt Lake City, UT • On-site, Remote

$52 - $71.25/hr

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 11 days ago

Job description

Job Description: DevOps & Google Cloud Platform Engineers support the Development Teams in Salt Lake City and Ireland and provide technical support for MLG applications deployed for Zambia, Rwanda, and other sites in the future. You will coordinate with architects and developers to design our cloud and on-premise deployments, ensuring that they are stable and secure. You will help train the rest of the engineering team on best practices. You will audit systems and deliverables for standards of security, monitoring, and reliability. You will also assist with internal technical support (e.g., permissions, and services). What You Will Do:Design and deploy with Kubernetes in Google Cloud Manage and monitor our cloud infrastructure Assist and sometimes lead developers to ensure their products are ready for deployment Develop, maintain, and enhance the CI/CD procedures and processes, communicating and training those aspects to stakeholders Coordinate with architects and developers to design our cloud and on-premise deployments, ensuring that they are stable and secure Help train the engineering team on best practices Audit systems and deliverables for standards of security and reliability Assist with internal technical support (e.g., permissions, services) What You Should Have:Bachelor’s Degree in Computer Engineering or another relevant field 3-5 years of relevant experience, with a proven track record of resolving problems Understanding of Docker and its tooling Familiarity with some IAAS tools, (e.g., Puppet, Chef, Terraform, Vagrant) Understanding of Git and CI/CD best practices, preferably Gitlab (or GitHub) Experience deploying solutions into a Cloud provider, ideally Google Cloud (e.g., Kubernetes, SQL, storage) Experience with DNS, CloudFlare, and cloud networking Excellent communication skills, both written and oral, and the ability to communicate technical issues to the Development team Ability to work remotely and autonomously with little oversight Flexibility to accommodate communication across time zones, sometimes including night and weekend calls Fluency in English, both oral and written Passion for our MLG mission and desire to be part of a dynamic, growing companyWhat We Hope You Have:Experience with Python Experience deploying Java or Node services Familiarity with support services tools (e.g., JIRA) Experience with Kustomize and YAML formatting Experience in a startup Experience with blockchains, big data, or machine learning Business experience, preferably in land and property rights, land titling, and land administration systems What We Offer:Flexible work schedulesComprehensive Medical, Dental, and Vision benefitsBasic Term Life & AD&D (company paid)Short/Long Term Disability (company paid)Employee Assistance Program (EAP) (company paid)401(K) Retirement Plan (6% company match)Supplemental & Voluntary PlansCommuter BenefitsFlexible Spending Account (FSA)Health Savings Account (HSA)Legal & Financial ProtectionPet Insurance & Discount Programs*Benefits vary based on position, tenure, location, and employee election

Additional Information: Equal Employment Opportunity:It is our policy to provide equal employment opportunity for all applicants and associates. This policy includes our commitment to ensure that all employment decisions are made without regard to race, color, religion, gender, national origin, disability, pregnancy, veteran status (including Vietnam era veterans), age, sexual orientation, gender identity, or any other non-job-related characteristic protected by law.

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