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Remote Machine Learning Engineer Jobs in Salt Lake City, UT

Transportation Engineer

Draper, UT · On-site +1

$100/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Transportation Engineer

Draper, UT · On-site +1

$100/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Application Security Engineer

Salt Lake City, UT · On-site +1

$56.75 - $76/hr

Application Security Engineer About the Role Packsize is seeking an experienced Application ... machine software environments, especially challenges like remote device deployment and secure ...

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 ...

Software Engineer III

Salt Lake City, UT · Remote

$58.75 - $79/hr

  • Medical

  • Dental

  • Vision

  • PTO

Recognized for growth, innovation, and culture, we foster a highly collaborative, remote-first ... Self-driven and detail-oriented with a passion for learning * Team-oriented and willing to help ...

Legal Research - Internship

Salt Lake City, UT · On-site +1

  • Medical

  • Dental

  • Vision

... machine learning systems extract from published legal materials. This role is ideal for law ... Collaborate with legal researchers and ML engineers to improve data quality over time. ...

About the Role As a Security Engineer, you will play a critical role in safeguarding our ... Administer the security awareness learning modules (RF Academy) and lead internal initiatives to ...

Cybersecurity Engineer (Remote)

Lehi, UT · On-site +1

  • Retirement

  • PTO

About the Role As a Security Engineer, you will play a critical role in safeguarding our ... Administer the security awareness learning modules (RF Academy) and lead internal initiatives to ...

Showing results 41-60

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 20, 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:

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.

Electrical Engineer - Mid Level - Substation Physical Design Focus (Hybrid/Remote)

Barr

Salt Lake City, UT • On-site, Remote

$92K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago


Job description

The role - what you'll do

Barr is seeking a substation physical design engineer to join our electrical engineering team. In this hybrid role, you will support the Engineering and Design business unit in interfacing with clients to develop substation physical design deliverables for utility upgrades, including greenfield/brownfield substations, wind facilities, and developer interconnection facilities. You will interface with clients, be responsible for understanding client and internal standards, and develop project deliverables on time and within budget.

A successful person in this role will have strong interpersonal, oral, and written communication skills. They must possess a flexible working style and be willing to occasionally modify their schedule to meet deadlines and/or client needs. They must be able to work cooperatively in a project team environment that encourages self-initiative and demonstrate effective project organization and management skills.

Your impact - key responsibilities

  • Technical knowledge: substation and switching station physical design; substation general arrangement drawings; substation elevation views; bills of material; equipment layout; conduit layout; calculations including grounding analysis and design, cable, conduit, and transformer, sizing, lightning protection, and bus bracing; and specification preparation.

  • Project management: assist in planning, coordinating, and executing projects. Help ensure project milestones are met and provide regular updates to team members and clients.

  • Staff development: support the growth and development of team members.

  • Collaboration: build and sustain strong relationships with clients and internal teams. Collaborate across disciplines to align technical approaches with client goals while contributing to a positive, inclusive team culture.

About you - required core competencies

  • Education: bachelor's degree in electrical engineering or a related field.

  • Experience: 5 years of relevant experience related to the job responsibilities described above.

  • Licenses/certifications: Professional Engineer (PE) certification or ability to obtain within one year.

  • Software: Power Systems Analysis experience (SKM, EasyPower, ETAP).

  • Driver's license: possession of a current, valid driver's license and acceptable driving record.

  • Must be legally authorized to work in the United States without the need for sponsorship by Barr, now or in the future.

Helpful additional experience (not required)

  • 10+ years of experience at a consulting engineering or industrial company.

  • Experience working directly with clients.

  • Familiarity with industry codes and standards (NEC, NESC, IEEE, NFPA).

About the opportunity

  • Hybrid: a hybrid work arrangement may be considered for this position. A hybrid work arrangement refers to splitting time worked between a Barr office and a home office. This position can be based out of Barr's Denver or Fort Collins, Colorado; Minneapolis, Duluth, or Hibbing, Minnesota; Grand Rapids or Ann Arbor, Michigan; Bismarck, North Dakota; or Salt Lake City, Utah, offices.

  • Remote: a remote work arrangement may be considered for this position. A remote arrangement refers to working primarily from a home office. Remote arrangements will be considered based on candidate qualifications, local regulations, and Barr's needs.

  • Travel expectation: up to 10-15 percent domestic fieldwork.

  • Work environment: ability to work in locations that feature the rough terrain typical of construction sites or require lifting or moving field testing equipment. Safety training will be provided prior to being given work assignments on these sites. Applicants may be asked to participate in a drug screening program at the request of specific clients. Candidates must be able to perform job duties with or without reasonable accommodation.

Compensation: Anticipated range of $92,000-125,000 annually. Compensation will vary based on relevant experience, education, skill level, and other compensable factors. Employees in this position may also be eligible for a discretionary cash bonus based on team and individual performance. This position is classified as exempt (salaried) under the Fair Labor Standards Act.

#LI-Hybrid#LI-Remote

Benefits - what we offer

We are committed to providing an employee experience that attracts and retains top talent. That's why we offer a competitive package of employee benefits - including some unique offerings not found at other companies. At Barr, we also believe that learning doesn't stop when you get your degree, which is why we provide coaching, mentoring, and support for ongoing educational opportunities to foster professional development at every stage of your career.

  • Competitive, affordable insurance plans: Medical, dental, vision, life, disability, accidental death insurance, and flexible spending accounts for medical and dependent care

  • Retirement benefits: 401(k) retirement savings plan with company contribution and an Employee Stock Ownership Plan (ESOP) with company contribution in Barr stock

  • Profit distribution: Barr has a "no retained earnings" model and distributes all profit to our employees through our annual bonus distribution plan, ESOP, and dividends to shareholders

  • Professional development benefits: Annual time and expense allowances, mentorship program, and many internal training opportunities

  • Work/life balance: Paid time off, holidays, overtime for non-exempt/hourly staff, and compensatory time for exempt/salaried staff (time off or pay for extra time worked), paid family leave

  • Wellness focus: Ergonomic analysis and equipment, Personal Protective Equipment allowance, wellbeing-focused educational opportunities

Please note that benefits eligibility is determined and may change based on part-time, reduced-time, or full-time status.

About us - why choose Barr

At Barr, you'll join a community of engineers, scientists, and professionals who will help you achieve your ambitions and build a meaningful, rewarding career. You'll serve as a trusted advisor to clients who value Barr's tailored solutions and commitment to exceptional service.

As part of our employee-owned firm, you'll contribute to a culture of commitment and camaraderie where staff can thrive as professionals. We value diverse perspectives and experiences and believe an inclusive workplace is critical to our success.

To learn more about Barr's culture and values, visit: https://www.barr.com/Careers/Our-culture

Open positions at Barr Engineering Co. do not have application deadlines. Barr Engineering Co. is an equal opportunity employer, and all applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.