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Junior Machine Learning Jobs in Utah (NOW HIRING)

Senior Machine Learning Engineer

Draper, UT · On-site

$97K - $134K/yr

Mentor junior team members and share technical expertise to elevate team capabilities We'd love to chat if you have: * Proven experience building and deploying machine learning models in production ...

Mentor junior team members and share technical expertise to elevate team capabilities We'd love to chat if you have: * Proven experience building and deploying machine learning models in production ...

Proven experience developing junior data scientists in technical, process and real-world aspects of applying of machine learning to real problems * Complete familiarity with approaches to estimate ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... junior staff while upholding remarkable standards of quality and innovation in deliverables.

Responsibilities - Lead the design and implementation of Generative AI and Machine Learning solutions - Oversee project delivery and promote productive client engagement - Mentor junior team members ...

These four domains apply to all aspects of building production data science, machine learning, and ... for junior-level applicants) * Experience in any type of customer-facing role (2+ years)

These four domains apply to all aspects of building production data science, machine learning, and ... for junior-level applicants) * Experience in any type of customer-facing role (2+ years)

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Junior Machine Learning information

See Utah salary details

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How much do junior machine learning jobs pay per hour?

As of Jun 9, 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 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 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 cities in Utah are hiring for Junior Machine Learning jobs? Cities in Utah with the most Junior Machine Learning job openings:
Senior Machine Learning Engineer

Senior Machine Learning Engineer

BILL

Draper, UT • On-site

$97K - $134K/yr

Other

Posted 12 days ago


Job description

Make your impact within a rapidly growing Fintech Company

Join BILL's AI Product Engineering team and help shape the future of intelligent financial automation. As a Senior Machine Learning Engineer, you'll play a pivotal role in designing, building, and deploying machine learning solutions that power BILL's next-generation products. This is an opportunity to work in a collaborative, high-impact environment where your expertise will directly influence the company's growth and the experience of millions of users.

Responsibilities:

  • Design, develop, and deploy robust machine learning models to solve real-world business challenges in the fintech domain
  • Collaborate cross-functionally with product managers, engineers, and data scientists to translate business requirements into scalable ML solutions
  • Analyze complex datasets, identify patterns, and extract actionable insights to drive product innovation
  • Evaluate, optimize, and monitor model performance in production, ensuring reliability and accuracy over time
  • Contribute to the development and improvement of AI workflows, agentic evaluation and best practices within the team
  • Document methodologies, experiments, and results to ensure knowledge sharing and reproducibility
  • Mentor junior team members and share technical expertise to elevate team capabilities

We'd love to chat if you have:

  • Proven experience building and deploying machine learning models in production environments
  • Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Previous experience with OCR extraction and NLP methodologies
  • Knowledge of AI agents and strong experience with LLMs
  • Ability to analyze and interpret large, complex datasets using statistical and data analysis techniques
  • Excellent communication and collaboration skills, with a track record of working effectively in cross-functional teams
  • A problem-solving mindset and a passion for continuous learning and innovation

Visa Sponsorship:  Please note that this position is eligible for visa sponsorship.

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About BILL

Sourced by ZipRecruiter

Industry

Software development

Company size

1,001 - 5,000 Employees

Headquarters location

San Jose, CA, US