2

Remote Machine Learning Engineer Jobs in Clearfield, UT

Software Engineering Manager Remote, Full-Time About the Team/Role WEX FSM (formerly Payzerware ... Encourage continuous learning by establishing learning plans for team members * Contribute to the ...

Software Engineering Manager Remote, Full-Time About the Team/Role WEX FSM (formerly Payzerware ... Encourage continuous learning by establishing learning plans for team members * Contribute to the ...

Exposure to AI technologies, such as machine learning, natural language processing, and data ... Remote NY will be considered, preferred is DC Metro and Louisville, KY. Travel : Occasional travel ...

Exposure to AI technologies, such as machine learning, natural language processing, and data ... Remote NY will be considered, preferred is DC Metro and Louisville, KY. Travel : Occasional travel ...

Exposure to AI technologies, such as machine learning, natural language processing, and data ... Remote NY will be considered, preferred is DC Metro and Louisville, KY. Travel : Occasional travel ...

Senior Software Engineer

Salt Lake City, UT ยท Remote

$152K - $205K/yr

Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... Excellent communication skills, able to collaborate with remote teams, share ideas and present ...

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Lead and manage application engineer team assigned to respective application of focus, and ...

Senior Software Developer

Salt Lake City, UT ยท On-site +1

$147K - $198K/yr

You will work closely with a fully remote team of designers, developers, and stakeholders to add ... Supportive, mentorship-driven culture that fosters continuous learning and collaboration * High ...

Data Engineer

Salt Lake City, UT ยท On-site +1

$110K - $133K/yr

Data Engineer About the Role: We are seeking a Data Engineer to design, build, and optimize data ... Hybrid or onsite work environment preferred, with remote consideration based on candidate ...

New

next page

Showing results 1-20

Remote Machine Learning Engineer information

See Clearfield, UT salary details

$29.4K

$120K

$180.4K

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

As of Jul 13, 2026, the average yearly pay for remote machine learning engineer in Clearfield, UT is $120,030.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $144,500.00 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 job categories do people searching Remote Machine Learning Engineer jobs in Clearfield, UT look for? The top searched job categories for Remote Machine Learning Engineer jobs in Clearfield, UT are:
What cities near Clearfield, UT are hiring for Remote Machine Learning Engineer jobs? Cities near Clearfield, UT with the most Remote Machine Learning Engineer job openings:
Water Resources Consultant - Senior Level - Mining Focus (Hybrid/Remote)

Water Resources Consultant - Senior Level - Mining Focus (Hybrid/Remote)

Barr

Salt Lake City, UT โ€ข On-site, Remote

$110K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Job description

The role - what you'll do

Barr is seeking a senior water resources consultant with a focus on mine water management to join our team as a mine water practice lead. In this hybrid role, you will work with multidisciplinary project teams providing project and/or task management and technical support primarily for Barr's mining clients, as well as clients in markets such as heavy industry and power generation.

The ideal candidate for this position has strong interpersonal, oral, and written communication skills, proven task or project management skills, and a willingness to work cooperatively with project team members in a high-energy environment that encourages self-initiative.

Your impact - key responsibilities

  • Leading technical analyses related to water balance modeling.

  • Hydrologic and hydraulic analyses and engineering studies.

  • Interacting with, coordinating with, and potentially leading or managing multidisciplinary project teams. Mentoring junior staff through project work.

  • Advising clients on mine water management strategies and alternatives analyses.

  • Performing business development, such as giving conference presentations or writing proposals.

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 the following Barr offices: Denver, Colorado; Duluth, Hibbing, or Minneapolis, Minnesota; Bismarck, North Dakota; Albuquerque, New Mexico; or Salt Lake City, Utah.

  • 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.

  • Work environment: ability to work in locations that feature rough terrain typical of construction or mining outdoor sites with limited accessibility, moving machinery, and other conditions typical of industrial facilities. Candidates must be able to perform job duties with or without reasonable accommodation.

About you - required core competencies

  • Education: bachelor's degree in math, science, engineering, or a related discipline.

  • Experience: 10+ years of relevant experience.

    • Experience developing water balance models, including spreadsheet-based and advanced simulation tools.

    • Experience with design of surface water impoundments, such as process ponds, water supply dams, and reservoirs.

    • Statistical analysis of hydrological data, including techniques such as cumulative frequency analysis.

    • Experience advising clients on mine water management strategies and alternatives analysis and a track record of building and sustaining client relationships.

    • Developed skills in probabilistic analysis or modeling, uncertainty analyses, and/or Monte Carlo analyses to inform and complete risk assessments.

  • Software: experience working with hydrologic, hydraulic, and water quality methods and modeling tools.

  • 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 from Barr, now or in the future.

Helpful additional experience (not required)

  • More than 10 years of experience working on projects directly related to job responsibilities described above at a consulting engineering firm or mining or industrial worksite.

  • M.Sc. or PhD degree(s) in civil or environmental engineering.

  • Experience working with software such as GoldSim, HEC-RAS, HEC-HMS, XPSWMM/PCSWMM, HSPF, HydroCAD, MS Excel, or the MIKE Suite of tools.

  • Strong relationships with clients and the ability to develop or foster ongoing relationships and maintain a high level of client service.

  • Examples of providing water resources engineering to support permitting and compliance.

  • Experience with mine closure and reclamation planning, such as assessing alternatives and developing a plan, including community involvement.

  • Familiarity with publicly available data sets to support hydrologic analyses such as USGS gage data in the USA, hydrometric stations in Canada, climate data from NWS, Environment Canada, or other gages.

  • Expertise with one or more of the following: data analysis, visualization, and presentation; hydraulic structure (outlet works) analysis and design; risk-informed decision making for alternative development and selection; climate change analysis for mine water management decision making; water recovery and reuse; cost-benefit assessments; due diligence services (e.g., review boards) for water management projects.

Compensation: anticipated range of $110,000-$160,000 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.