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Junior Machine Learning Jobs in Utah (NOW HIRING)

Pattern

Senior Software Engineer

Lehi, UT · Hybrid

$115K - $151K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Mentor junior engineers and contribute to a culture of continuous improvement and innovation. What ...

Pattern

Senior Software Engineer

Lehi, UT · Hybrid

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Mentor junior engineers and contribute to a culture of continuous improvement and innovation. What ...

Pattern

Senior Software Engineer

Lehi, UT · On-site

$115K - $151K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Mentor junior engineers and contribute to a culture of continuous improvement and innovation. What ...

Cicero Group

Senior AI Developer

Salt Lake City, UT · On-site +1

$52.75 - $69.75/hr

... or machine learning applications * Hands-on experience building with LLMs, including RAG ... You are setting technical standards for the team, accelerating junior developers, and driving ...

Autonomous Solutions

Perception Engineer III

Mendon, UT · On-site

$100K - $117K/yr

Contribute to machine learning-based perception pipelines as appropriate to project needs. * Write ... Provides mentorship and guidance to junior engineers. Perception Engineer V * 8+ years of ...

Autonomous Solutions

Perception Engineer III

Mendon, UT · On-site

$100K - $117K/yr

Contribute to machine learning-based perception pipelines as appropriate to project needs. * Write ... Provides mentorship and guidance to junior engineers. Perception Engineer V * 8+ years of ...

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 - 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 · 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 ...

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All JobsJunior Machine Learning JobsJunior Machine Learning Jobs in Utah

Junior Machine Learning information

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How much do junior machine learning jobs pay per hour?

As of Jun 17, 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 engineers make $500,000?

Senior engineers in fields like software, data engineering, or specialized roles such as machine learning engineers can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

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.

Can I get into AI with no experience?

Junior Machine Learning roles typically require some foundational knowledge of programming, mathematics, and data analysis. While prior experience is often preferred, beginners can enter the field by learning relevant skills through online courses, tutorials, and projects, and by gaining familiarity with tools like Python and machine learning frameworks. Building a portfolio and obtaining certifications can also improve chances of entry-level employment.

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 AI system trainers, are also expected to remain in demand. Continuous learning and adapting to new tools will be essential for these roles to stay relevant.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch. These positions usually involve leadership responsibilities, extensive expertise, and may include stock options or bonuses as part of compensation packages.

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
Senior Analytics Engineer

Senior Analytics Engineer

MX Technologies, Inc.

Lehi, UT • On-site

Other

Posted 24 days ago

Job description

Job Summary

As a Senior Analytics Engineer within the Operational Analytics department, you'll play a key role in transforming complex, raw data into reliable and performant data products that power insights across MX. You'll combine deep technical expertise in SQL, data modeling, and cloud-based data warehouses (such as Google BigQuery) with a strong sense of data stewardship, ensuring accuracy, accessibility, and trust in the analytics that drive business and product decisions.

This role is ideal for a data professional who thrives at the intersection of engineering and analytics-someone who can architect and maintain scalable data models, enforce high standards for data quality, and collaborate closely with cross-functional partners to enable data-driven decisions. As a trusted internal expert, you'll lead by example through mentorship, documentation, and process innovation, helping elevate data practices across the organization.

Job Duties

  • Data Stewardship:
    Design, build, and maintain data pipelines and models that transform raw data into reliable, production-ready datasets. Manage and document data definitions, lineage, and transformations using GitLab or similar tools.

  • Data Quality and Governance:
    Establish and monitor data quality tests to ensure completeness, accuracy, and consistency. Partner with business stakeholders, IT, and data engineering teams to define and enforce governance standards.

  • Data Accessibility and Democratization:
    Develop intuitive, business-friendly data models and assets optimized for analytics. Ensure the right data is available to the right people at the right time, empowering self-service analytics and operational reporting.

  • Feature Store and Data Product Development:
    Curate and maintain high-value datasets and features in the Feature Store to support analytical and machine learning use cases. Track usage metrics and continually optimize for performance and impact.

  • Collaboration and Mentorship:
    Partner cross-functionally with analysts, engineers, and product teams to define data requirements, identify opportunities for process improvements, and align on strategic priorities. Provide mentorship and technical guidance to junior team members.

  • Continuous Improvement:
    Stay current with emerging technologies, tools, and trends in analytics engineering, cloud computing, and data governance. Lead or contribute to initiatives that improve scalability, efficiency, and reliability of MX's data ecosystem.

Requirements

  • Education:
    Bachelor's degree required, preferably in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.

  • Experience:
    Minimum 5 years of experience in analytics engineering, data engineering, or business intelligence roles, with a proven track record of designing and delivering reliable, high-performance data products at scale.

  • Technical Skills:

    • Expert-level SQL proficiency (including advanced window functions, CTEs, subqueries, and query optimization).

    • Strong understanding of dimensional modeling, star/snowflake schemas, and SCD management.

    • Proficiency with cloud data warehouses (Google BigQuery preferred; Snowflake, Redshift, or Databricks acceptable).

    • Familiarity with programming languages such as Python for workflow automation and data quality checks.

    • Experience with modern data versioning and collaboration tools (Git, CI/CD pipelines).

    • Understanding of data governance, lineage, and cataloging tools (e.g., dbt, Dataform, or equivalent).

  • Professional Skills:

    • Proven ability to collaborate cross-functionally and communicate complex data concepts to non-technical audiences.

    • Strong analytical and problem-solving skills, with keen attention to detail and system-level thinking.

    • Demonstrated adaptability and perseverance in fast-paced, evolving environments.

    • Commitment to quality, transparency, and building trust through reliable data products.

    • Track record of mentoring peers and contributing to the growth of data capabilities within an organization.

Apply