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Machine Learning Consultant Jobs in Utah (NOW HIRING)

Pwc

ERP AI Engineer - Manager

Salt Lake City, UT · On-site

$99K - $232K/yr

... consulting specialise in consulting services for a variety of business applications, helping ... Machine Learning. Enhancing your leadership style, you motivate, develop and inspire others to ...

Pattern

Junior Account Executive

Lehi, UT · On-site

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Run engaging, consultative discovery calls of PXM's content management, syndication, and workflow ...

Pattern

Junior Account Executive

Lehi, UT · On-site

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Run engaging, consultative discovery calls of PXM's content management, syndication, and workflow ...

Pattern

Junior Account Executive

Lehi, UT

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Run engaging, consultative discovery calls of PXM's content management, syndication, and workflow ...

VAST Data

Customer Support Engineer

Lehi, UT · On-site

... machine learning, object storage, and high-performance computing at customer sites and in the lab. You will work directly with customers, and various business functions: consulting pre-sales teams on ...

Pattern

TikTok Shop Account Manager

Lehi, UT · Hybrid

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Develop forward thinking, data-driven analyses and consultative recommendations that align with ...

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How much do machine learning consultant jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for machine learning consultant in Utah is $54.49, according to ZipRecruiter salary data. Most workers in this role earn between $38.60 and $75.04 per hour, depending on experience, location, and employer.

What does a machine learning consultant do?

A Machine Learning Consultant helps businesses implement AI and machine learning solutions to improve decision-making, automate processes, and enhance efficiency. They analyze data, develop models, and provide strategic recommendations tailored to a company's needs. Their role often involves working with engineers, data scientists, and stakeholders to integrate machine learning into existing systems.

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

To thrive as a Machine Learning Consultant, you need strong expertise in machine learning algorithms, data analysis, and programming skills—typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and cloud platforms, as well as relevant certifications like AWS Certified Machine Learning or TensorFlow Developer, are highly beneficial. Excellent communication, problem-solving, and project management skills help consultants translate complex technical concepts for clients and efficiently drive projects. These skills and qualities are crucial for delivering effective machine learning solutions that address business needs and foster client trust.

What does a typical project look like for a machine learning consultant?

As a Machine Learning Consultant, your projects often begin with collaborating closely with clients to understand their data challenges and business goals. You might be tasked with activities such as setting up data pipelines, selecting and training machine learning models, and presenting actionable insights. Projects can vary in length and scope, ranging from short-term advisory engagements to long-term implementations, and often involve teamwork with data engineers, business analysts, and IT departments. This dynamic environment means you need to balance hands-on technical work with client-facing responsibilities, ensuring successful delivery and measurable impact.

How much does a machine learning consultant make?

A machine learning consultant's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior consultants with specialized skills in data modeling and programming can earn higher salaries, especially when working on complex projects or with advanced tools like Python and TensorFlow.

What are the most commonly searched types of Machine Learning Consultant jobs in Utah?

The most popular types of Machine Learning Consultant jobs in Utah are:

What are popular job titles related to Machine Learning Consultant jobs in Utah?

For Machine Learning Consultant jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Machine Learning Consultant jobs in Utah look for?

The top searched job categories for Machine Learning Consultant jobs in Utah are:

Machine Learning Consultant jobs near you
Infographic showing various Machine Learning Consultant job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $113,347 per year, or $54.5 per hour.

Barrick Exploration - Remote Sensing Lead

Barrick Gold Corporation

Salt Lake City, UT • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 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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