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Junior Machine Learning Jobs in Utah (NOW HIRING)

MX Technologies, Inc.

Senior Analytics Engineer

Lehi, UT · On-site

$98K - $134K/yr

... analytical and machine learning use cases. Track usage metrics and continually optimize for ... Provide mentorship and technical guidance to junior team members. * Continuous Improvement: Stay ...

Pattern

Art Director - Apparel

Lehi, UT · Hybrid

$113K - $119K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Lead and mentor junior team members to help them build their design skills What will I need to ...

Pattern

Art Director

Lehi, UT · On-site

$113K - $119K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Lead and mentor junior team members to help them build their design skills What will I need to ...

Pattern

Art Director - Apparel

Lehi, UT · Hybrid

$113K - $119K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Lead and mentor junior team members to help them build their design skills What will I need to ...

Pattern

Art Director

Lehi, UT · Hybrid

$113K - $119K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Lead and mentor junior team members to help them build their design skills What will I need to ...

Pattern

Art Director - Apparel

Lehi, UT · On-site

$113K - $119K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Lead and mentor junior team members to help them build their design skills What will I need to ...

Pattern

Art Director

Lehi, UT · Hybrid

$113K - $119K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Lead and mentor junior team members to help them build their design skills What will I need to ...

Consor Engineers

Transportation Engineer

Draper, UT · Hybrid

$100/hr

Mentor junior engineers (task assignment, checks, coaching) and collaborate across disciplines ... copy machines. May require occasional exposure to work environments that may include inclement ...

Consor Engineers

Transportation Engineer

Draper, UT · On-site +1

$100/hr

Mentor junior engineers (task assignment, checks, coaching) and collaborate across disciplines ... copy machines. May require occasional exposure to work environments that may include inclement ...

Consor Engineers

Transportation Engineer

Draper, UT · On-site +1

$100/hr

Mentor junior engineers (task assignment, checks, coaching) and collaborate across disciplines ... copy machines. May require occasional exposure to work environments that may include inclement ...

Consor Engineers

Transportation Engineer

Draper, UT · On-site

$100/hr

Mentor junior engineers (task assignment, checks, coaching) and collaborate across disciplines ... copy machines. May require occasional exposure to work environments that may include inclement ...

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All JobsMachine Learning JobsJunior Machine Learning JobsJunior Machine Learning Jobs in Utah

Junior Machine Learning information

See Utah salary details

$7

$24

$43

How much do junior machine learning jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for junior machine learning in Utah is $24.54, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $30.19 per hour, depending on experience, location, and employer.

What is the difference between Junior Machine Learning vs Data Scientist?

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What does a Junior Machine Learning Engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, strategic planning, and expertise with tools like TensorFlow or PyTorch, and may require multiple years of experience and relevant certifications.

What types of projects and tasks can a Junior Machine Learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in deploying large-scale models can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of specialized experience and a strong track record of impactful projects.

Can I get an AI job with no experience?

Entry-level machine learning roles, such as Junior Machine Learning positions, often require some foundational knowledge of programming, mathematics, and data analysis. While prior experience is beneficial, candidates can improve their chances by completing relevant online courses, building projects, and gaining familiarity with tools like Python and TensorFlow.

Which 3 jobs will survive AI?

Junior Machine Learning roles are likely to persist as they require specialized knowledge, critical thinking, and domain expertise that AI cannot fully replicate. Jobs involving complex problem-solving, creativity, and human interaction, such as data scientists, AI ethics specialists, and machine learning engineers, are also expected to remain in demand. Continuous learning and adapting to new tools will be essential for these roles to stay relevant.

What are the key skills and qualifications needed to thrive as a Junior Machine Learning Engineer, and why are they important?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.
What are the most commonly searched types of Machine Learning jobs in Utah? The most popular types of Machine Learning jobs in Utah are:
What are popular job titles related to Junior Machine Learning jobs in Utah? For Junior Machine Learning jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning jobs in Utah look for? The top searched job categories for Junior Machine Learning jobs in Utah are:
What cities in Utah are hiring for Junior Machine Learning jobs? Cities in Utah with the most Junior Machine Learning job openings:
Junior Machine Learning jobs near you
Finance Analytics & AI Manager

Finance Analytics & AI Manager

Deloitte

Salt Lake City, UT • On-site

Other

Re-posted 25 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

60th of 148 rated financial services

Job description

In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.

Recruiting for this role ends on 09/14/2026.

Work you'll do

As a Finance Analytics & AI Manager on the Finance Transformation team, you'll work with the best in the business to solve the toughest client problems. From learning to leadership, this is your chance to take your career to the next level. Our Managers are expected to contribute to the firm's growth and development in a variety of ways.

  • Leading small engagements or workstreams within larger programs that identify, design, and implement AI-enabled business and technology solutions for large enterprises
  • Engaging clients to identify business issues and high-impact AI use cases, shaping hypotheses and value cases
  • Performing assessments using quantitative and qualitative techniques, including AI-enabled diagnostics and discovery methods
  • Defining scope, objectives, requirements, and delivery plans; managing solution architecture planning through execution, delivery, and post-implementation review
  • Overseeing AI solution development and deployment, managing day-to-day client relationships, and ensuring quality and performance outcomes
  • Contributing to business development by supporting proposals, RFP responses, and orals, and by mentoring and developing team members

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Within the Finance Transformation offering, our Business Finance team helps drive strategic value through financial planning, forecasting, and analytics capabilities. By leveraging next-gen processes, scalable data platforms, and AI, our team delivers accurate, timely, and actionable insights.

Qualifications

Required:

  • 6+ years of experience in a corporate or consulting firm environment architecting and deploying AI and technical solutions
  • 4+ years of experience translating technical designs into scalable generative and agentic AI solutions across technology layers
  • 4+ years of experience working with finance processes, including financial planning and analysis, reporting, and treasury
  • Bachelor's degree in a science, technology, engineering, or mathematics field from an accredited university
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • 4+ years of experience in finance transformation and process improvement across enterprise resource planning, enterprise performance management, data, and project management
  • 2+ years of experience supporting pre-sales activities, proposals, and request for proposal responses
  • 2+ years of experience identifying generative artificial intelligence use cases
  • 2+ years of experience mentoring and coaching junior staff
  • Master's degree from a science, technology, engineering, or mathematics-designated program
  • One or more certifications in artificial intelligence, machine learning, Amazon Web Services, Microsoft Azure, or Google Cloud Platform

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $141,200 - $278,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:
In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.

Recruiting for this role ends on 09/14/2026.

Work you'll do

As a Finance Analytics & AI Manager on the Finance Transformation team, you'll work with the best in the business to solve the toughest client problems. From learning to leadership, this is your chance to take your career to the next level. Our Managers are expected to contribute to the firm's growth and development in a variety of ways.

  • Leading small engagements or workstreams within larger programs that identify, design, and implement AI-enabled business and technology solutions for large enterprises
  • Engaging clients to identify business issues and high-impact AI use cases, shaping hypotheses and value cases
  • Performing assessments using quantitative and qualitative techniques, including AI-enabled diagnostics and discovery methods
  • Defining scope, objectives, requirements, and delivery plans; managing solution architecture planning through execution, delivery, and post-implementation review
  • Overseeing AI solution development and deployment, managing day-to-day client relationships, and ensuring quality and performance outcomes
  • Contributing to business development by supporting proposals, RFP responses, and orals, and by mentoring and developing team members

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Within the Finance Transformation offering, our Business Finance team helps drive strategic value through financial planning, forecasting, and analytics capabilities. By leveraging next-gen processes, scalable data platforms, and AI, our team delivers accurate, timely, and actionable insights.

Qualifications

Required:

  • 6+ years of experience in a corporate or consulting firm environment architecting and deploying AI and technical solutions
  • 4+ years of experience translating technical designs into scalable generative and agentic AI solutions across technology layers
  • 4+ years of experience working with finance processes, including financial planning and analysis, reporting, and treasury
  • Bachelor's degree in a science, technology, engineering, or mathematics field from an accredited university
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • 4+ years of experience in finance transformation and process improvement across enterprise resource planning, enterprise performance management, data, and project management
  • 2+ years of experience supporting pre-sales activities, proposals, and request for proposal responses
  • 2+ years of experience identifying generative artificial intelligence use cases
  • 2+ years of experience mentoring and coaching junior staff
  • Master's degree from a science, technology, engineering, or mathematics-designated program
  • One or more certifications in artificial intelligence, machine learning, Amazon Web Services, Microsoft Azure, or Google Cloud Platform

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $141,200 - $278,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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