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Manager Remote Machine Learning Engineer Jobs in Herriman, UT

Graymont Limited

Remote Operations Engineer

Sandy, UT · On-site +1

$66K - $89K/yr

United States - UT - Sandy Remote Operations Engineer Full-Time, Permanent Sandy, UT (In-person ... Professionally managed and family-owned, we proudly serve a wide range of markets, customers, and ...

Varsity Tutors

Data Science Tutor

Provo, UT · Remote

$18 - $40/hr

... machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Circle

Manager, Software Engineering

Salt Lake City, UT · Remote

$195K - $257K/yr

Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... You have experience managing remote teams * The ability to thrive on a fast pace environment with ...

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 ...

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 ...

New

Consor Engineers

Stormwater Engineer

Draper, UT · On-site +1

$100/hr

Perform stormwater management and drainage studies, ensuring compliance with federal, state, and ... Routinely requires the use of standard office equipment such as computers, phones and copy machines.

Consor Engineers

Stormwater Engineer

Draper, UT · On-site +1

$100/hr

Perform stormwater management and drainage studies, ensuring compliance with federal, state, and ... Routinely requires the use of standard office equipment such as computers, phones and copy machines.

Consor Engineers

Stormwater Engineer

Draper, UT · On-site +1

$100/hr

Perform stormwater management and drainage studies, ensuring compliance with federal, state, and ... Routinely requires the use of standard office equipment such as computers, phones and copy machines.

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All JobsMachine Learning Engineer JobsManager Remote Machine Learning Engineer JobsManager Remote Machine Learning Engineer Jobs in Herriman, UT

Manager Remote Machine Learning Engineer information

See Herriman, UT salary details

$28.9K

$65.1K

$109.5K

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

As of Aug 14, 2026, the average yearly pay for manager remote machine learning engineer in Herriman, UT is $65,054.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,300.00 and $70,600.00 per year, depending on experience, location, and employer.

What is a manager remote machine learning engineer?

A Manager Remote Machine Learning Engineer is a leadership role responsible for overseeing a team of machine learning engineers who work remotely. They manage the development, deployment, and optimization of machine learning models and ensure that projects align with organizational goals. In addition to technical expertise, this manager focuses on remote team collaboration, communication, and productivity. They often coordinate workflows, mentor team members, and act as a bridge between technical teams and business stakeholders.

What is the difference between Manager Remote Machine Learning Engineer vs Data Scientist?

AspectManager Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience in ML engineeringBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, collaborative teams, focus on ML model deploymentRemote or on-site, data analysis, model development, research
Employer & Industry UsageTech companies, AI startups, large enterprisesTech, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding managerial roles in ML teamsData analysis, modeling, research tasks

The Manager Remote Machine Learning Engineer oversees ML projects and teams, focusing on deployment and management, while Data Scientists primarily analyze data and develop models. Both roles require strong technical skills, but the manager role emphasizes leadership and project oversight.

What are the key skills and qualifications needed to thrive as a manager remote machine learning engineer, and why are they important?

To thrive as a Manager Remote Machine Learning Engineer, strong expertise in machine learning algorithms, programming (Python, R), and a degree in computer science or a related field are essential, along with proven leadership experience. Familiarity with cloud platforms (AWS, Azure, GCP), ML frameworks (TensorFlow, PyTorch), and project management tools is typically required, as well as certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer. Outstanding communication, team leadership, and problem-solving skills help foster collaboration and drive remote teams toward project goals. These capabilities are vital for effectively managing distributed teams, delivering robust AI solutions, and ensuring project success in a remote environment.

How does a manager remote machine learning engineer typically balance team leadership with hands-on technical responsibilities?

A Manager Remote Machine Learning Engineer often splits time between leading and mentoring a distributed team and actively contributing to machine learning projects. While overseeing project timelines, conducting code reviews, and setting technical direction are key leadership tasks, managers also stay involved in model development and troubleshooting to maintain technical expertise. Effective communication and clear documentation are crucial, as remote teams rely on these to collaborate efficiently across different time zones. Balancing these responsibilities requires strong organizational skills and the ability to prioritize both people management and technical deliverables.

What are popular job titles related to Manager Remote Machine Learning Engineer jobs in Herriman, UT?

For Manager Remote Machine Learning Engineer jobs in Herriman, UT, the most frequently searched job titles are:

What job categories do people searching Manager Remote Machine Learning Engineer jobs in Herriman, UT look for?

The top searched job categories for Manager Remote Machine Learning Engineer jobs in Herriman, UT are:

Manager Remote Machine Learning Engineer jobs near you
Infographic showing various Manager Remote Machine Learning Engineer job openings in Herriman, UT as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $65,054 per year, or $31.3 per hour.

Barrick Exploration - Remote Sensing Lead

Barrick Gold Corporation

Salt Lake City, UT • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago

Barrick Gold rating

7.8

Company rating: 7.8 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

10th of 41 rated mining

Job description


Position Description:
Would you like to have a career with a collaborative, diverse, and dynamic mining company? We have an exciting opportunity for you!
Our vision is to be the world's most valued gold mining business by finding, developing, and operating the best assets with the best people. Our Exploration division is growing, and we are looking for a Remote Sensing Lead to join our team! The Remote Sensing Lead is responsible for designing, implementing, and advancing the use of satellite, airborne, and handheld hyperspectral data with geospatial information to support the discovery and evaluation of gold and copper deposits. This role provides technical leadership in acquisition, processing, interpretation, and integration of remote sensing datasets to identify prospective targets, reduce exploration risk, and enhance decision-making across exploration programs. Working closely with geology, geochemistry, geophysics, and field teams, the Remote Sensing Lead ensures that remote sensing insights are translated into actionable exploration decisions and strategies that accelerate target generation, optimize field campaigns, and support sustainable, cost-effective mineral exploration.
At Barrick, our vision is to be the world's most valued gold mining business by finding, developing, and operating the best assets with the best people. We are committed to a safe work environment sending every person home safe and healthy every day and leaving a sustainable legacy on our host communities.
Responsibilities:
  • Lead the strategy, selection, and application of remote sensing/hyperspectral technologies to support gold and copper exploration programs across the North American Region with a focus on gold and copper opportunities.
  • Acquire, process, and interpret multispectral, hyperspectral, radar (SAR), LiDAR, and DEM datasets for geological, structural, alteration/mineralization, till and regolith mapping.
  • Develop and implement workflows for alteration mineral mapping (e.g., white mica, phyllosilicates, iron oxides, clays, carbonates, sulfates, etc.).
  • Provide technical support in the interpretation of products derived from remote sensing and handheld tools for the evaluation of drilling targets.
  • Provide technical leadership in GIS and spatial data management, ensuring data quality, consistency, and effective visualization for exploration teams and management.
  • Support regional and district-scale prospectivity analyses to identify new opportunities and prioritize exploration portfolios.
  • Assist in fieldwork to validate hypotheses generated by predictive models
  • Guide field validation programs by translating remote sensing interpretations into actionable mapping and sampling strategies.
  • Responsible for field/hand sample hyperspectral data collection/solutions
  • Collaborate closely with regional and team geologists, geochemists, geophysicists, data scientists, and external consultants to ensure multidisciplinary integration and knowledge transfer.
  • Evaluate and implement emerging remote sensing technologies, analytics, and machine learning approaches to improve targeting efficiency and confidence.
  • Prepare technical reports, maps, and presentations that communicate results, uncertainties, and recommendations to both technical and non-technical stakeholders.
  • Mentor the exploration team, building internal capability and best practices across the region.
  • Comply with and enforce the Health and Safety System, promoting a culture of prevention based on visible, committed leadership.
  • Lead the strategy, selection, and application of remote sensing/hyperspectral technologies to support gold and copper exploration programs across the North American Region with a focus on gold and copper opportunities.
  • Acquire, process, and interpret multispectral, hyperspectral, radar (SAR), LiDAR, and DEM datasets for geological, structural, alteration/mineralization, till and regolith mapping.
  • Develop and implement workflows for alteration mineral mapping (e.g., white mica, phyllosilicates, iron oxides, clays, carbonates, sulfates, etc.).
  • Provide technical support in the interpretation of products derived from remote sensing and handheld tools for the evaluation of drilling targets.
  • Provide technical leadership in GIS and spatial data management, ensuring data quality, consistency, and effective visualization for exploration teams and management.
  • Support regional and district-scale prospectivity analyses to identify new opportunities and prioritize exploration portfolios.
  • Assist in fieldwork to validate hypotheses generated by predictive models
  • Guide field validation programs by translating remote sensing interpretations into actionable mapping and sampling strategies.
  • Responsible for field/hand sample hyperspectral data collection/solutions
  • Collaborate closely with regional and team geologists, geochemists, geophysicists, data scientists, and external consultants to ensure multidisciplinary integration and knowledge transfer.
  • Evaluate and implement emerging remote sensing technologies, analytics, and machine learning approaches to improve targeting efficiency and confidence.
  • Prepare technical reports, maps, and presentations that communicate results, uncertainties, and recommendations to both technical and non-technical stakeholders.
  • Mentor the exploration team, building internal capability and best practices across the region.
  • Comply with and enforce the Health and Safety System, promoting a culture of prevention based on visible, committed leadership.
  • Comply with and enforce the provisions of the Code of Conduct, Anti-Bribery and Anti-Corruption Policy, Barrick's Human Rights Policy and the provisions of the legislation, especially the established processes regarding Conflicts of Interest, links and interactions with government officials, payments to government officials/entities, Vendor Onboarding and report any situation related to non-compliance with such instruments.
  • Comply with and enforce the policies and procedures of the Environmental Management System, as well as the commitments assumed by the Company in environmental matters; ensuring a culture of care for the Environment.
  • Comply with and enforce the policies and procedures of Community Relations, promoting respectful treatment towards local communities, ensuring a Culture of Community Development.

Qualifications:
  • Academic degree(s) in Geosciences (Geology, Geophysics, Geochemistry, Geography, Cartography), Remote Sensing, Geospatial Science, Environmental Science, or related field required
  • Experience of at least 3 years[MN1] [LS2] in leveraging remote sensing and hyperspectral data sets to gold and copper exploration tasks. Analysis of remote sensing and hyperspectral data to geospatial and geological information, preferably for mineral exploration and/or mining projects preferred
  • Proven experience with remote sensing data processing and analysis required
  • Proficiency with remote sensing software and tools (e.g., ENVI, ERDAS Imagine) required
  • Familiarity with multi- and hyperspectral satellite imagery (Sentinel, Landsat, ASTER, EnMap, etc.) and spectral analysis techniques preferred
  • Proficiency in programming languages such as Python or R and geospatial analysis platforms (ArcGIS, QGIS) preferred
  • Knowledge of Machine Learning and/or application of artificial intelligence to hyperspectral data sets preferred
  • Strong understanding of image processing, data analysis, and geospatial technologies preferred
  • Experience with GIS and spatial analysis techniques required
  • Excellent analytical and communication skills required
  • Ability to work collaboratively with interdisciplinary teams required
  • Alignment to Barrick DNA required
  • Orientation to continuous learning required
  • High motivation for the achievement of objectives and especially for the achievement of discoveries required
  • Strong analytical, communication, and interdisciplinary collaboration skills required
  • Travel: Availability for occasional trips to projects, based on campaign planning required

What We Can Offer You
  • A comprehensive compensation package including a competitive medical, dental, and vision plan with national provider networks, a 401k retirement plan with employer contribution, paid time off, company-sponsored medical clinics, company match share purchase program, and much more!
  • Work in a dynamic, collaborative, progressive, and high-performing team.
  • Opportunities to grow and learn with the industry colleagues are endless.
  • Access to a variety of career opportunities across the organization.
  • Barrick is committed to creating a diverse environment and is proud to be an equal opportunity employer.
    #LI-JB1
    #Barrick

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