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Machine Learning Intern Remote Jobs in Utah (NOW HIRING)

Cicero Group

Senior AI Developer

Salt Lake City, UT · On-site +1

$52.75 - $69.75/hr

... or machine learning applications * Hands-on experience building with LLMs, including RAG ... Remote employees will be expected to travel to an office periodically.

Deloitte

Databricks Engineer

Salt Lake City, UT · On-site +1

Experience with Databricks workspace administration, machine learning operations (MLOps), or ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Consor Engineers

Marketing Coordinator

Draper, UT · On-site +1

$60K - $90K/yr

Coordinate with subconsultants and remote team members to compose proposal text with a consistent ... and copy machines. May occasionally be exposed to noise in office or event settings. * While ...

Consor Engineers

Marketing Coordinator

Draper, UT · On-site +1

$60K - $90K/yr

Coordinate with subconsultants and remote team members to compose proposal text with a consistent ... and copy machines. May occasionally be exposed to noise in office or event settings. * While ...

Consor Engineers

Stormwater Engineer

Draper, UT · On-site +1

$100/hr

Routinely requires the use of standard office equipment such as computers, phones and copy machines ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Consor Engineers

Stormwater Engineer

Draper, UT · On-site +1

$100/hr

Routinely requires the use of standard office equipment such as computers, phones and copy machines ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

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Machine Learning Intern Remote information

What are the key skills and qualifications needed to thrive as a Machine Learning Intern (Remote), and why are they important?

To thrive as a Machine Learning Intern (Remote), a solid understanding of programming (especially Python), statistics, and foundational machine learning concepts—often supported by coursework or a relevant degree—is essential. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required, along with experience using data analysis libraries. Strong problem-solving skills, initiative, and clear communication are valuable soft skills for collaborating virtually and adapting to remote work environments. These skills and qualities enable effective contribution to projects, smooth team communication, and successful learning in a dynamic, distributed setting.

What types of projects can I expect to work on as a remote Machine Learning Intern?

As a remote Machine Learning Intern, you can typically expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of models into production environments. You may also help with tasks like feature engineering, exploratory data analysis, and preparing technical documentation. Collaboration is usually done through virtual meetings and code repositories, and you'll often work closely with data scientists, engineers, and mentors who provide guidance and feedback. This hands-on experience helps you gain exposure to industry-standard tools and workflows, preparing you for more advanced roles in the future.

What does a Machine Learning Intern do when working remotely?

A remote Machine Learning Intern typically assists with data collection, cleaning, and analysis, helps develop and test machine learning models, and collaborates with team members through virtual meetings and code repositories. They may also research new algorithms, document their work, and present findings to their supervisors. The role provides hands-on experience in applying machine learning concepts to real-world problems while working from a remote location.

Is ML a high paying job?

Machine Learning (ML) roles are generally considered high-paying within the tech industry due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries for ML positions can vary based on experience, location, and company, but they tend to be above average compared to many other entry-level roles in technology. Internships in ML may offer lower pay, but full-time positions often provide competitive compensation and benefits.
What are the most commonly searched types of Machine Learning Remote jobs in Utah? The most popular types of Machine Learning Remote jobs in Utah are:
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What job categories do people searching Machine Learning Intern Remote jobs in Utah look for? The top searched job categories for Machine Learning Intern Remote jobs in Utah are:
What cities in Utah are hiring for Machine Learning Intern Remote jobs? Cities in Utah with the most Machine Learning Intern Remote job openings:
Machine Learning Intern Remote jobs near you
Senior AI Developer

Senior AI Developer

Cicero Group

Salt Lake City, UT • On-site, Remote

$52.75 - $69.75/hr

Full-time

Posted 19 days ago

Job description

About the Role
MGT is hiring a Senior AI Developer to join our AI Operating Group (AI OG). The AI OG is responsible for both internal AI tool development and client-facing AI solution delivery, primarily serving the state and local government market.
This is a deeply technical, hands-on role. You will build the AI systems that power our client engagements and internal product suite - not prototype them, not advise on them. You will own the code, the architecture, and the output. The right person for this role has real AI development experience, is fluent in the Microsoft Azure ecosystem, and takes pride in shipping things that actually work in production.
This is not a consulting role, but you will work closely with client-facing teams. You should be comfortable translating ambiguous business requirements into clean technical solutions, and working across a team where not everyone speaks your language.
What You'll Do
  • Build and maintain production-grade AI solutions including RAG pipelines, agentic workflows, and multi-agent systems
  • Develop on the Microsoft Azure AI stack, including Azure OpenAI Service, Azure AI Foundry, and related services
  • Architect and implement data pipelines and integration patterns that connect AI capabilities to client systems and data sources
  • Work with tool-layer integration standards such as MCP (Model Context Protocol) to connect agents with enterprise systems
  • Develop reusable components, skills, templates, and accelerators that scale across multiple engagements
  • Collaborate with AI Solutions Architects and project leads to translate solution designs into working builds
  • Contribute to and help set technical standards for the AI OG's code-first development practices
  • Support internal product development across MGT's AI tool suite
Required Qualifications
  • 5+ years of professional software development experience, with at least 2 years focused on AI or machine learning applications
  • Hands-on experience building with LLMs, including RAG architectures, agentic design patterns, prompt engineering, or vector databases
  • Demonstrated Azure experience, including Azure OpenAI Service or Azure AI Foundry
  • Strong Python development skills
  • Ability to independently scope and deliver technical solutions with minimal oversight
  • A builder mentality: you would rather figure it out and ship it than wait for a detailed specification
Preferred Qualifications
  • Experience with Microsoft Copilot Studio or Power Platform
  • Background in data architecture, ETL/ELT pipelines, or analytics platforms
  • Experience with frameworks such as LangChain or LangGraph
  • Prior work in consulting, professional services, or client-facing technical delivery
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
What Success Looks Like
  • Within 30 days: You understand our current tool suite, architecture patterns, and active client engagements. You have shipped something.
  • Within 90 days: You are independently owning technical builds on client projects and contributing to internal product development.
  • Within 6 months: You are setting technical standards for the team, accelerating junior developers, and driving architectural decisions on complex engagements.
Why MGT
You will be joining a team that is actively building and shipping AI products, not talking about them. We have real tools in production, real clients using them, and a leadership team that understands both the technology and the business.
This is a high-visibility role with direct access to senior leadership and the opportunity to shape how AI gets delivered across the organization. We are building the AI practice from the ground up, which means you will have an outsized impact on the tools, processes, and culture of the team.
Our philosophy: clean data foundations first, AI layered on top. Process understanding before automation. Empowering domain experts to build, not centralizing AI capability in a silo. If that resonates with you, this is your team.
NOTE: We currently do not accept candidates who require sponsorship, nor are we able to provide sponsorship opportunities to candidates.
Positions are available in Salt Lake City, Utah; Washington, D.C.; and remote. Remote employees will be expected to travel to an office periodically.

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