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Junior Aws Machine Learning Jobs in Draper, UT (NOW HIRING)

NICE

Senior Machine Learning Engineer

Sandy, UT · Hybrid

$99K - $136K/yr

As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech ... Experience with cloud-based infrastructure (AWS, Azure, or GCP). * Ability to develop and maintain ...

Waystar

Senior Data Scientist

Lehi, UT · On-site

Lead the design, development, and implementation of sophisticated machine learning models and ... Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning ...

Crew Career Center

Senior Data Scientist

Lehi, UT · On-site

Lead the design, development, and implementation of sophisticated machine learning models and ... Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning ...

Patientco

Senior Data Scientist

Lehi, UT · On-site

Lead the design, development, and implementation of sophisticated machine learning models and ... Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning ...

Utah Community Credit Union

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

... and machine learning initiatives across the credit union. Working closely with business ... junior data engineers and analysts, providing technical guidance and code reviews • Drive ...

nCino

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Experience with data visualization tools (DOMO, AWS Quicksight, Tableau, etc.) * Demonstrated mastery of machine learning algorithms and techniques * Strong problem-solving skills and ability to work ...

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All JobsAws Machine Learning JobsJunior Aws Machine Learning JobsJunior Aws Machine Learning Jobs in Draper, UT

Junior Aws Machine Learning information

See Draper, UT salary details

$43.5K

$88.4K

$132.7K

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

As of Sep 1, 2026, the average yearly pay for junior aws machine learning in Draper, UT is $88,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,200.00 and $89,300.00 per year, depending on experience, location, and employer.

What is a junior AWS machine learning engineer?

Junior AWS Machine Learning engineers are entry-level professionals who work with Amazon Web Services (AWS) to develop, deploy, and maintain machine learning models. They assist in data preparation, model training, and integration of AI solutions using AWS tools such as SageMaker, Lambda, and S3. These engineers often collaborate with data scientists and software teams to implement predictive analytics and automation solutions on the AWS cloud platform. Their role typically involves learning best practices for cloud security, data handling, and scalable machine learning deployment.

What are the key skills and qualifications needed to thrive as a junior AWS machine learning engineer?

To thrive as a Junior AWS Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AWS services like SageMaker, Lambda, and S3, as well as certifications such as AWS Certified Machine Learning – Specialty, are highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical ideas clearly help you stand out in this role. These skills and qualities are crucial for efficiently developing, deploying, and maintaining machine learning solutions on AWS in collaborative, fast-paced environments.

What are some common challenges faced by junior AWS machine learning engineers when deploying models to production environments?

Junior AWS Machine Learning Engineers often encounter challenges such as managing the scalability of their models, ensuring data security and compliance in the cloud, and integrating machine learning pipelines with existing AWS services. Since production environments require high reliability, newcomers may also need to learn how to monitor model performance and troubleshoot issues using AWS tools like SageMaker and CloudWatch. Collaborating closely with data engineers and DevOps teams is essential to streamline deployment and maintain model accuracy over time.

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

AspectJunior Aws Machine LearningData Scientist
Required CredentialsBasic AWS certifications, entry-level ML knowledgeAdvanced degrees, certifications like AWS, data analysis skills
Work EnvironmentCloud platforms, machine learning projects, collaborative teamsData analysis, modeling, research, cross-functional teams
Employer & Industry UsageTech companies, startups, cloud service providersFinance, healthcare, tech, research institutions

Junior AWS Machine Learning roles focus on implementing ML models using AWS tools with foundational knowledge, while Data Scientists typically handle broader data analysis, modeling, and research tasks. The roles overlap in cloud-based ML work but differ in scope and experience level.

What cities near Draper, UT are hiring for Junior Aws Machine Learning jobs?

Cities near Draper, UT with the most Junior Aws Machine Learning job openings:

Junior Aws Machine Learning jobs near you
Infographic showing various Junior Aws Machine Learning job openings in Draper, UT as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $88,382 per year, or $42.5 per hour.

Senior Java Developer[Business Automation & AI]-[lOCAL TO UTAH]

SmartIPlace

Salt Lake City, UT • On-site

$55.50 - $70.75/hr

Contractor

Re-posted 25 days ago

Job description

Position: Senior Java Developer (Business Automation & AI)

Location:  Salt Lake City, Utah, 84111

Interview mode: Onsite interviews

Visa: ANY

 

Interviews will be held onsite.

Hybrid role

Required Technical Skills:

  • Java Mastery: 3-5 years of professional experience with Java (8/11/17+), including Spring Boot or Quarkus.
  • Rule Engines: Hands-on experience writing and debugging Drools rules and implementing DMN (Decision Model and Notation).
  • Cloud Native Automation: Proven experience with Kogito for building cloud-native business processes.
  • AWS AI/ML Stack: Experience configuring AWS Bedrock (Knowledge Bases, Agents, or Prompt Engineering).
  • **Proficiency in managing Amazon S3 for large-scale document storage and metadata tagging.
  • Documentation Transformation: Experience (or strong scripting ability) in converting Adobe RoboHelp (HTML/XML) into structured formats (Markdown/JSON) for AI consumption.
  • Modern DevOps: Experience with Git, CI/CD pipelines, and containerization (Docker/Kubernetes).

 

Preferred Qualifications:

  • Experience with Vector Databases (Amazon OpenSearch, Pinecone, or Milvus).
  • Understanding of Python (specifically for BeautifulSoup/Pandoc-based document parsing).
  • Knowledge of BPMN 2.0 standards.
  • AWS Certified Developer or AWS Machine Learning Specialty certification.
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About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

Social media

Facebook

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