ZipRecruiter

Log In

1

Junior Machine Learning Engineer Jobs in Utah (NOW HIRING)

ZimZee Recruiting

Be Seen First

Senior Data Scientist

Lehi, UT · On-site

$140K - $175K/yr

Strong Python programming skills with experience using scientific computing and machine learning libraries such as NumPy, SciPy, scikit-learn, PyTorch, or TensorFlow * Experience working with ...

ZimZee Recruiting

Be Seen First

Data Engineer

Lehi, UT · On-site

$90K - $120K/yr

ZimZee Recruiting is looking for a Data Engineer to join our medical device client in Lehi focused on building reliable data infrastructure and supporting machine learning workflows in production.

Hatch

Junior Commissioning Engineer

Salt Lake City, UT · On-site

Hatch is seeking a Junior Commissioning Engineer with interest in metals, mining, energy, water ... Work in an exciting environment where you can apply your academic learning on a daily basis * Gain ...

Hatch

Junior Commissioning Engineer

Salt Lake City, UT · On-site

Hatch is seeking a Junior Commissioning Engineer with interest in metals, mining, energy, water ... Work in an exciting environment where you can apply your academic learning on a daily basis * Gain ...

beatBread

AI Engineer

Saint George, UT · On-site

About The Role As an AI Engineer, you will design, build, and deploy sophisticated AI solutions ... Collaborating closely with cross-functional teams, you will develop and optimize machine learning ...

beatBread

AI Engineer

Saint George, UT · On-site

$50K - $90K/yr

About The Role As an AI Engineer, you will design, build, and deploy sophisticated AI solutions ... Collaborating closely with cross-functional teams, you will develop and optimize machine learning ...

PDCflow

Junior Software Engineer

Ogden, UT · Hybrid

Junior Software Engineer DAKCS is a 40-year industry veteran in accounts receivable management and ... If you like solving problems, learning constantly, and using the latest tech to do it, this role is ...

Pwc

NGA AI Engineer Manager

Salt Lake City, UT

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

NGA AI Engineer Senior Manager

Salt Lake City, UT

$91K - $321K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

As an AI Infrastructure Engineer IV , you will play a critical role in designing, building, and maintaining the systems that power our AI and machine learning capabilities. You will ensure our ...

next page

Showing results 1-20

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

Junior Machine Learning Engineer information

See Utah salary details

$30.5K

$65.4K

$99.7K

How much do junior machine learning engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for junior machine learning engineer in Utah is $65,364.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,200.00 and $72,800.00 per year, depending on experience, location, and employer.

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

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a Junior Machine Learning Engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

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

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a junior machine learning engineer do?

A junior machine learning engineer assists in developing, testing, and deploying machine learning models under supervision. They work with data preprocessing, feature engineering, and use tools like Python and libraries such as TensorFlow or scikit-learn to support AI projects. This role often requires foundational knowledge of algorithms, programming, and data analysis.

How much does a junior machine learning engineer make?

A junior machine learning engineer typically earns between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

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. Achieving this level often requires advanced degrees, specialized certifications, and a strong track record of impactful projects.

What is a $900000 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 programming with tools like Python and TensorFlow. These positions usually involve leadership, strategic planning, and significant experience, and they tend to be found in large tech companies or specialized AI firms.

What Does a Junior Machine Learning Engineer Do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

More about Junior Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Utah? The most popular types of Machine Learning Engineer jobs in Utah are:
What are popular job titles related to Junior Machine Learning Engineer jobs in Utah? For Junior Machine Learning Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning Engineer jobs in Utah look for? The top searched job categories for Junior Machine Learning Engineer jobs in Utah are:
What cities in Utah are hiring for Junior Machine Learning Engineer jobs? Cities in Utah with the most Junior Machine Learning Engineer job openings:
Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Utah as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $65,364 per year, or $31.4 per hour.
Senior Data Scientist

Senior Data Scientist

ZimZee Recruiting

Lehi, UT • On-site

$140K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Be Seen First

After you apply to this job, you can share why you’re interested to jump to the top of the candidate list.

Job description

ZimZee Recruiting is seeking an experienced Senior Data Scientist to join our client in Lehi, Utah. This individual contributor role is ideal for someone who enjoys working at the intersection of signal processing, machine learning, and biomedical research. You will play a key role in designing, validating, and deploying algorithms that transform complex physiological signals into clinically meaningful health insights.


Skills and Requirement

  • 6–8+ years of hands-on experience in data science, machine learning, or machine learning engineering with a history of building and validating production-quality models
  • Strong Python programming skills with experience using scientific computing and machine learning libraries such as NumPy, SciPy, scikit-learn, PyTorch, or TensorFlow
  • Experience working with physiological signals or biomedical data, including wearable devices, clinical monitoring, neuroscience, sports science, or related domains
  • Strong foundation in signal processing, statistical modeling, and machine learning for time-series data
  • Experience developing models using limited or sparse datasets while understanding overfitting, model generalization, and validation best practices
  • Ability to read, evaluate, and implement approaches from scientific literature
  • Experience with interpretable or physically informed modeling techniques and an appreciation for explainable machine learning
  • Familiarity with MLOps concepts such as model versioning, reproducibility, monitoring, CI/CD, or deployment to edge, mobile, or cloud environments


Key Responsibilities

  • Design, develop, and optimize signal processing pipelines for multimodal physiological sensor data, including PPG, bioimpedance, galvanic skin response, temperature, and IMU signal
  • Build, validate, and improve predictive machine learning models that generate clinically meaningful physiological metrics from wearable sensor dat
  • Evaluate and recommend modeling approaches that balance interpretability, scientific rigor, and predictive performanc
  • Collaborate with data scientists, engineers, clinical researchers, and hardware teams to translate physiological research into production-ready algorithm
  • Help establish and improve MLOps practices, including model versioning, deployment workflows, monitoring, and reproducibility standard
  • Contribute to experimental design, algorithm validation, and data collection efforts for both laboratory and human-subject studies

Company Description

ZimZee Recruiting is a full-service recruiting and professional placement firm for both clients and candidates. We are located in Utah and serve both local and national needs. ZimZee Recruiting is passionate about recruiting, and our team members are focused, hardworking, and willing to go the extra mile to help fill a position or a new role for you. Our strong ethics and values provide an unmatched level of satisfaction for everyone involved with our team.
Our business team is passionate, dedicated and highly motivated to tackle the daily challenges of a fast-growing technology company. We aim to constantly improve our sales and marketing processes to grow at a fast pace.