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Junior Machine Learning Jobs in Layton, UT (NOW HIRING)

Junior AI Engineer Category: Software Development/ Engineering Main location: United States, Utah ... Design and develop AI-powered product features using Generative AI, machine learning, and Large ...

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.

Sales Account Executive

Layton, UT · On-site

$160K - $200K/yr

Artificial Intelligence & Machine Learning * Cloud Engineering & Modernization * Data Engineering ... Mentor junior sales professionals and contribute to sales best practices. * Participate in weekly ...

Sales Account Executive

Layton, UT · Hybrid

$160K - $200K/yr

Artificial Intelligence & Machine Learning * Cloud Engineering & Modernization * Data Engineering ... Mentor junior sales professionals and contribute to sales best practices. * Participate in weekly ...

Sales Account Executive

Layton, UT · On-site

$160K - $200K/yr

Artificial Intelligence & Machine Learning * Cloud Engineering & Modernization * Data Engineering ... Mentor junior sales professionals and contribute to sales best practices. * Participate in weekly ...

Excellent coaching and mentoring abilities with experience developing junior sales talent * Data ... Experience with or strong interest in AI and machine learning is a plus Nice to have * You're an ...

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Junior Machine Learning information

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$24

$43

How much do junior machine learning jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for junior machine learning in Layton, UT is $24.49, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $30.14 per hour, depending on experience, location, and employer.

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

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 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 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 are the most commonly searched types of Machine Learning jobs in Layton, UT?

The most popular types of Machine Learning jobs in Layton, UT are:

What are popular job titles related to Junior Machine Learning jobs in Layton, UT?

For Junior Machine Learning jobs in Layton, UT, the most frequently searched job titles are:

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

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

Infographic showing various Junior Machine Learning job openings in Layton, UT as of July 2026, with employment types broken down into 85% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $50,942 per year, or $24.5 per hour.

Junior AI Engineer

CGI Inc.

Salt Lake City, UT • On-site

Full-time

Retirement, PTO

This job post has expired today. Applications are no longer accepted.


CGI rating

7.1

Company rating: 7.1 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

149th of 224 rated it services


Job description

Junior AI Engineer
Category: Software Development/ Engineering
Main location: United States, Utah, Salt Lake City
Position ID:J0826-0327
Employment Type: Full Time
Position Description:
Launch Your AI Career with CGI
Are you passionate about Artificial Intelligence and excited to build AI solutions that solve real-world business challenges? CGI is seeking a Junior AI Engineer to join our growing team in Salt Lake City, UT, where you'll help design, develop, and deploy next-generation AI-powered applications for enterprise clients.
This is an exciting opportunity to work alongside experienced AI engineers, software developers, and architects while gaining hands-on experience with **Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and cloud-native technologies**.
If you're curious, eager to learn, enjoy solving complex problems, and want to make an impact early in your career, we'd love to meet you.
At CGI, you'll do more than write code-you'll help organizations transform how they work with cutting-edge AI technologies while building a rewarding career in technology consulting.
Location: Onsite at the client location in the Salt Lake City, UT area
Your future duties and responsibilities:
How you'll make an impact
As a Junior AI Engineer, you'll collaborate with experienced engineers, architects, and business teams to design, build, and deploy AI-powered solutions that address real business needs.
Your responsibilities will include:
* Design and develop AI-powered product features using Generative AI, machine learning, and Large Language Models (LLMs)
* Build intelligent applications using Retrieval-Augmented Generation (RAG), embeddings, and vector database technologies
* Develop conversational AI experiences, AI agents, and agent-based workflows
* Build scalable REST APIs and FastAPI microservices to integrate and serve AI capabilities
* Develop and maintain AI workflows using LangChain, LangGraph, and other modern agentic frameworks
* Work with Model Context Protocol (MCP) servers and related tools to integrate AI applications with enterprise systems and data sources
* Containerize applications using Docker and support deployment in Kubernetes environments
* Contribute to cloud-native AI solutions designed for security, scalability, reliability, and maintainability
* Collaborate with product managers, software engineers, architects, and business stakeholders to deliver innovative AI capabilities
* Participate in code reviews, testing, troubleshooting, documentation, and continuous improvement initiatives
* Stay current with the rapidly evolving AI ecosystem and help evaluate emerging models, frameworks, tools, and development practices
Required qualifications to be successful in this role:
What you'll bring
* Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical field, or equivalent practical experience
* Up to 2 years of professional, internship, academic, or project-based experience in software engineering, AI, or machine learning development
* Strong programming skills in Python and experience working with SQL
* Understanding of machine learning fundamentals and Generative AI concepts
* Hands-on experience working with Large Language Models (LLMs), including prompt engineering techniques
* Experience building or working with Retrieval-Augmented Generation (RAG) architectures and vector databases
* Familiarity with LangChain, LangGraph, or similar AI orchestration frameworks
* Familiarity with AI agents, agentic workflows, and common agent design patterns
* Experience working with or developing integrations using Model Context Protocol (MCP)
* Familiarity with AI configuration and instruction files, such as `AGENTS.md`, `SKILL.md`, or similar artifacts used to define AI system behavior and capabilities
* Understanding of REST APIs and microservices architecture
* Familiarity with Docker and modern CI/CD practices
* Strong analytical, problem-solving, collaboration, and communication skills
* Curiosity, adaptability, and enthusiasm for learning and applying emerging AI technologies
Preferred Qualifications
Experience with one or more of the following is a plus:
* MLOps tools, workflows, and deployment practices
* Kubernetes and container orchestration
* FastAPI or similar Python web frameworks
* Cloud platforms such as Microsoft Azure, AWS, or Google Cloud
* Serverless and event-driven architectures
* High-availability, scalability, and autoscaling concepts
* AI evaluation frameworks, model benchmarking, and quality measurement
* AI security, governance, and responsible AI practices
Why CGI?
At CGI, you'll have the opportunity to build practical AI solutions while learning from experienced technology professionals and working directly on meaningful client challenges. You'll gain exposure to modern AI architectures and enterprise-scale technologies while developing the technical, consulting, and collaboration skills needed to grow your career.
If you're ready to turn your interest in AI into real-world impact, we'd like to hear from you.
Other Information:
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $70,800.00 $123,800.00.
CGI's benefits are offered to eligible professionals on their first day of employment to include:
. Competitive compensation
. Comprehensive insurance options
. Matching contributions through the 401(k) plan and the share purchase plan
. Paid time off for vacation, holidays, and sick time
. Paid parental leave
.Learning opportunities and tuition assistance
. Wellness and Well being programs
Skills:
  • Agentic RAG
  • Artificial Intelligence
  • Large Language Model (LLM)
  • Machine Learning
  • Python
  • SQL

What you can expect from us:
Together, as owners, let's turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because...
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction.
Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our team-one of the largest IT and business consulting services firms in the world.
Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.
CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.
We make it easy to translate military experience and skills! Click here to be directed to our site that is dedicated to veterans and transitioning service members.
All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.
CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI's legal duty to furnish information.

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