2

Entry Level Machine Learning Jobs in Sandy, UT (NOW HIRING)

The Associate Project Manager I is an entry-level position responsible for providing collaborative ... Responsible for learning and implementing Good Clinical Practices (GCP) and Medical Device Design ...

The Associate Project Manager I is an entry-level position responsible for providing collaborative ... Responsible for learning and implementing Good Clinical Practices (GCP) and Medical Device Design ...

next page

Showing results 1-20

Entry Level Machine Learning information

See Sandy, UT salary details

$11

$16

$20

How much do entry level machine learning jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for entry level machine learning in Sandy, UT is $16.60, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $18.03 per hour, depending on experience, location, and employer.

What Are Entry Level Machine Learning Jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What are the key skills and qualifications needed to thrive as an Entry Level Machine Learning Engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What types of projects can an entry-level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

What are the most commonly searched types of Machine Learning jobs in Sandy, UT? The most popular types of Machine Learning jobs in Sandy, UT are:
What are popular job titles related to Entry Level Machine Learning jobs in Sandy, UT? For Entry Level Machine Learning jobs in Sandy, UT, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning jobs in Sandy, UT look for? The top searched job categories for Entry Level Machine Learning jobs in Sandy, UT are:
What cities near Sandy, UT are hiring for Entry Level Machine Learning jobs? Cities near Sandy, UT with the most Entry Level Machine Learning job openings:

Full-time

Posted 13 days ago


Job description

About Us:

Stone Ground Bakery and Wheat Montana Bakery and Deli is a leading Intermountain bakery and premium flour producer dedicated to crafting high-quality baked goods using the finest ingredients and the baker’s choice for flour. With a bakery in Salt Lake City and Three Forks, Montana, we offer a unique geographic footprint to serve our varied customer base. With a commitment to excellence and a passion for baking, we strive to delight our customers with delicious products that bring joy to every occasion.

Purpose and Scope of Position:
The Maintenance Tech is responsible for ensuring the timely and effective maintenance, troubleshooting, and repair of bakery/mill equipment and facilities. By attending to regular and ad-hoc maintenance tasks, this role ensures continuous bakery/mill operations, minimizing downtime, and supporting the delivery of high-quality baked goods.

Duties and Responsibilities:

  • Routine Maintenance: Perform regular checks and preventive maintenance on all bakery/mill machinery and equipment.
  • Equipment Repair: Troubleshoot and repair malfunctioning equipment, ensuring minimal production disruption.
  • Facility Maintenance: Address any issues related to the physical facility, including plumbing, electrical, and structural concerns.
  • Tool Management: Organize, clean, and maintain all maintenance tools and equipment, ensuring they are in good working order.
  • Record Maintenance: Document all maintenance activities, noting any significant issues or trends.
  • Safety Protocols: Adhere to all safety guidelines while performing maintenance duties to ensure a safe working environment.
  • Team Collaboration: Work closely with the production team to identify potential equipment issues and schedule repairs.
  • Parts Inventory: Assist the Maintenance Manager in maintaining the inventory of spare parts and equipment.
  • Continuous Learning: Stay updated on the latest maintenance techniques and best practices relevant to bakery/mill operations.
  • Vendor Communication: Assist in consulting with equipment suppliers and service technicians as required.
  • Other Duties: Undertake additional maintenance tasks as assigned by Maintenance Manager.

Knowledge, Skills, and Abilities:

  • Effective problem-solving and critical thinking skills for identifying and fixing equipment issues quickly.
  • Knowledge of automation systems if the bakery uses automated equipment.
  • Understanding of basic electrical, mechanical, and plumbing systems.
  • The ability to work under pressure from downtime in a bakery can lead to significant production loss.
  • Understanding and effective application of safety regulations and operations standards
  • Effective communication skills to collaborate with other team members and managers. Multilingual in Spanish and English preferred.
  • The ability to occasionally lift heavy equipment parts between 25-50 lbs. independently and with assistance; and lifting components could exceed 100 lbs. with the help of a team.
  • Maintenance Tech will undergo on-the-job training in areas such as:
    • General food safety, quality, and safety training.
    • Equipment and Tool Usage
    • Safety Protocols and Compliance
    • Basic Troubleshooting Techniques
  • Effectively independently with minimal supervision and work collaboratively in a diverse team environment.
  • Ability to learn and adapt to new maintenance challenges and scenarios.

Experience and Education Requirements:

    • For entry level - 0-2+ years related experience in equipment maintenance, mechanical repair, and/or electrical systems through internships, apprenticeships, or relevant work experience, preferably in a food production setting.
    • For mid-level – 2-5 years directly-related hands-on experience working with food production or similar machinery, and possibly some experience in bakery environments.
    • For senior level – 5+ years extensive experience in industrial maintenance, ideally within a bakery or food production environment, and experience overseeing and/or training less-experienced technicians.