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

nCino

Senior Data Scientist

Lehi, UT · On-site

... AWS Quicksight, Tableau, etc.) • Demonstrated mastery of machine learning algorithms and techniques • Strong problem-solving skills and ability to work independently and collaboratively • ...

nCino OpCo

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 ...

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 ...

Pwc

CTIO AI Engineering Manager

Salt Lake City, UT · On-site

$73K - $244K/yr

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.

3M HEALTHCARE

Senior Data Scientist

Lehi, UT · On-site

$107.90 - $183.40/hr

Proficiently create machine learning models tailored to solve business problems. * Work with large ... Experience with data visualization tools (DOMO, AWS Quicksight, Tableau, etc.). * Mastery of ...

Stackruit Ltd.

Senior AI/ML Engineer

Draper, UT · On-site

$100 - $130/hr

Experience building production-ready systems with cloud platforms (AWS). * Expertise in AI, machine learning, and natural language processing (NLP). * Strong communication and collaboration skills.

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

... our AI and machine learning capabilities. You will ensure our compute, storage, and cloud ... Deploy and manage AI systems within cloud environments (AWS, Azure, GCP), ensuring scalability ...

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

... our AI and machine learning capabilities. You will ensure our compute, storage, and cloud ... Deploy and manage AI systems within cloud environments (AWS, Azure, GCP), ensuring scalability ...

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

... our AI and machine learning capabilities. You will ensure our compute, storage, and cloud ... Deploy and manage AI systems within cloud environments (AWS, Azure, GCP), ensuring scalability ...

ICF

Senior Climate Analytics Specialist

Salt Lake City, UT · On-site

$84K - $103K/yr

... AWS, SageMaker) * Demonstrated experience applying machine learning and statistical models to climate science, risk analysis, or related topics, using relevant Python packages (e.g., scikit-learn ...

Pattern

Junior AI Art Director (Part-Time)

Lehi, UT · On-site

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... As a Junior AI Art Director, you will sit on the cutting edge of art and technology, directly ...

Pattern

Junior AI Art Director (Part-Time)

Lehi, UT

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... As a Junior AI Art Director, you will sit on the cutting edge of art and technology, directly ...

Pattern

Junior AI Art Director (Part-Time)

Lehi, UT

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... As a Junior AI Art Director, you will sit on the cutting edge of art and technology, directly ...

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Showing results 21-40

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 Aug 11, 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.

Are there entry level AWS jobs?

Yes, there are entry-level AWS jobs such as Junior AWS Machine Learning roles that typically require foundational knowledge of cloud computing, basic understanding of machine learning concepts, and familiarity with AWS services like S3, EC2, and SageMaker. These roles often serve as starting points for careers in cloud and machine learning fields and may require certifications like AWS Certified Cloud Practitioner or AWS Certified Machine Learning – Specialty. Candidates should be prepared to learn on the job and develop skills through training and hands-on experience.

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 Data Scientist

nCino

Lehi, UT • On-site

Full-time

Re-posted 2 days ago

Job description

Job Summary:
nCino is a leader in cloud banking, seeking a Senior Data Scientist to join their Data & AI team. The role involves collaborating with stakeholders to analyze datasets, extract insights, and develop data-driven solutions to enhance banking products and services.
Responsibilities:
• Applies developed knowledge and understanding of building large-scale machine learning, predictive modeling, and advanced analytics tools; proficient in multiple data-related programming languages
• Proficient creating machine learning, predictive modeling, and advanced analytics tools tailored to solve business problems
• Experience in large data sets and algorithms
• Considers and analyzes information from multiple data sources, including experience and input from others when determining the best approach for routine and non-routine problems
• Ability to prototype ideas and demonstrate pros and cons in a clear and concise manner
• Understanding of data science priorities and how each contributes to the success of nCino
• Demonstrates ability to acquire domain knowledge of the business and effectively applies this expertise to inform model development and problem-solving approaches
• Extensive experience in developing, deploying, and monitoring complex machine learning models
• Lead and guide teams in implementing programming best practices and adopting emerging technologies
• Leverage AI tools and techniques to enhance software development activities, including code generation, testing, debugging, and optimization.
• Apply AI insights to identify patterns, automate repetitive tasks, and improve overall development efficiency and product quality.
• Evaluate and integrate AI/ML capabilities where appropriate to strengthen product functionality and user experience.
• Maintain awareness of emerging AI trends and best practices to inform continuous learning and innovation.
Qualifications:
Required:
• Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science or a related field with 5+ years of related experience or combination of experience and education
• Demonstrated mastery of programming skills in Python or R
• 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 independently and collaboratively
• Strong experience with SQL or noSQL and database management systems
• Experience deploying and monitoring models in production
• Strong understanding of the business domain
• Ability to translate business questions into analytics projects and deliver actionable insights
• Flexibility and the ability to be productive in a fast-paced, team environment
• Excellent verbal and written communication skills for technical and non-technical audiences
• Familiarity with production code practices, including unit testing, object-oriented programming (OOP), error handling, logging, contract testing, and version control
Preferred:
• Advanced degree in Data Science, Statistics, Mathematics, Computer Science or a related field
• Experience developing and deploying models using Databricks and mlflow
• Experience with AWS tools and services, including Lambda, Sagemaker, S3, Athena, Quicksight
• Experience with Agile software development
Company:
nCino provides a cloud banking platform that helps financial institutions modernize their operations and improve the customer experience. Founded in 2012, the company is headquartered in Wilmington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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