1

Junior Machine Learning Engineer Jobs in Ogden, UT

Our climate risk analytics leverage rigorous science, machine learning, distributed computing, and ... Use scientific programming, cloud-based distributed computing, and large-scale geospatial data ...

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will ...

FPGA EW Design Engineer Job Code: 41806 Job Location: Salt lake City Job Schedule: 9/80, employees ... Machine learning * FPGA verification using simulation and unit testing * Experience developing in ...

New

Major, minor, or coursework in a field relevant to AI and data, such as Computer Science, Data Science, Statistics, Machine Learning, Information Systems, or other Engineering. * Basic knowledge or ...

Machine Builder

Ogden, UT · On-site

$20 - $26/hr

A collaborative, engineering-driven environment * Career growth and skill development opportunities ... JR. * Ability to provide own hand tools and toolbox suitable for the job (a list of those ...

Machine Builder

Ogden, UT · On-site

$20 - $26/hr

A collaborative, engineering-driven environment * Career growth and skill development opportunities ... JR. * Ability to provide own hand tools and toolbox suitable for the job (a list of those ...

Sr. Software Engineer

Salt Lake City, UT · Remote

$125K - $165K/yr

Experience with machine learning or generative AI prompt engineering * Caching/NoSQL datastores (Redis, Memcached, MongoDB, etc.) * Automation experience (Gitlab, build/deploy, testing, etc.) * Linux ...

Showing results 41-60

Junior Machine Learning Engineer information

See Ogden, UT salary details

$32.8K

$70.3K

$107.2K

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

As of Aug 16, 2026, the average yearly pay for junior machine learning engineer in Ogden, UT is $70,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,500.00 and $78,300.00 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?

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.

What cities near Ogden, UT are hiring for Junior Machine Learning Engineer jobs?

Cities near Ogden, UT with the most Junior Machine Learning Engineer job openings:

Infographic showing various Junior Machine Learning Engineer job openings in Ogden, UT as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $70,261 per year, or $33.8 per hour.

Sr. Project & Continuous Improvement Engineer

Hexcel Corporation

Salt Lake City, UT • On-site

$109K/yr

Full-time

Posted 16 days ago


Hexcel rating

7.5

Company rating: 7.5 out of 10

Based on 19 frontline employees who took The Breakroom Quiz


Job description

With our strong investment in research and development and our culture of continuous improvement, Hexcel is the industry leader in the manufacturing of advanced composite materials, including carbon fiber, woven reinforcements, resins, prepregs, honeycombs and engineered core and composite structures. We invite you to join the Hexcel team at various manufacturing sites, sales offices, and R&D centers around the globe. Become a part of the "strength within."
Hexcel is currently seeking a Sr. Project & Continuous Improvement Engineer for our Salt Lake City, UT, location.
The selected individual will be responsible for but not limited to the following obligations:
  • Lead and execute engineering and continuous improvement initiatives that improve safety, quality, throughput, operating efficiency, cost, yield, and product performance for SLC Fibers/Carbon Fiber manufacturing.
  • Identify process variables impacting product properties, cost, yield, quality, and performance; develop solutions using data analysis, statistical process control, root cause analysis, DOE, DMAIC, OCAP, and other structured problem-solving methods.
  • Develop, prioritize, and manage a pipeline of CI, capacity, equipment, process technology, and special/critical projects from concept through implementation, including project engineering and project management responsibilities.
  • Partner cross-functionally with Process Engineering, Quality, Operations, Maintenance, Product Management, Supply Chain, R&D, and Project Engineering to align improvements, evaluate new materials/processes, and support industrialization projects.
  • Design, execute, and document process trials and technology improvements; quantify impact to safety, quality, product performance, process performance, cost, yield, and throughput.
  • Develop and maintain key process documentation, reports, dashboards, A3 project plans, FMEAs, Process Control Documents, operational procedures, and related work instructions in alignment with MOC requirements.
  • Lead safety and operational readiness activities for modified or new equipment/processes, including MOC, PSSR, PSM, operational readiness inspections, BBS participation, and proactive safety improvement initiatives.
  • Provide technical leadership, coaching, communication, and influence to cross-functional teams to drive projects to completion and foster a performance culture aligned with Hexcel safety, quality, and Code of Business Conduct expectations.
  • Support project implementation outside normal business hours as needed to ensure successful startup, commissioning, and sustained results.

Qualifications:
  • Bachelor's degree in engineering or related technical field; Materials, Chemical, or Mechanical preferred. Advanced technical degree is a strong plus.
  • 15+ years of directly related engineering experience in an industrial or continuous process manufacturing environment; carbon fiber experience preferred.
  • Demonstrated Lean/Six Sigma experience; Black Belt required based on role scope.
  • Strong knowledge of statistical analysis, SPC, DOE, DMAIC, root cause/corrective action, and process control methods.
  • Experience with manufacturing equipment, process control systems, troubleshooting equipment, and data/analysis tools; SQL, Python, Power BI, or machine learning/AI exposure a plus.
  • Strong project management capability with experience leading cross-functional teams, managing multiple priorities, and delivering measurable business impact.
  • Strong technical knowledge of manufacturing processes, statistical analysis/modeling, process control systems.
  • Working knowledge of machine learning/artificial intelligence applications in process control preferred.
  • Strong written communication, oral presentation, facilitation, interpersonal, and leadership skills with the ability to communicate effectively across technical and operational audiences.

Eligible candidates must be a: U.S. citizen, U.S. national, person lawfully admitted for permanent residence, temporary resident under sections 210(a) or 245(A) of the Immigration and Nationality Act, person admitted in refugee status, or person granted asylum. Hexcel (NYSE: HXL) is a global leader in advanced composites technology, a leading producer of carbon fiber, and the world leader in honeycomb manufacturing for the commercial aerospace industry.
Hexcel is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, physical or mental disability, status as a protected veteran, or any other protected class.

What Hexcel employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom