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Python Ai Ml Jobs in Utah (NOW HIRING)

Sitreps 2 SteerCos

Product Manager - AI Applications

UT · On-site +1

Qualifications * 5+ years of product management experience, with at least 3 years delivering AI/ML ... Proficiency in SQL and basic Python for data validation and analysis. * Excellent communication ...

Autonomous Solutions

AI Software Engineer I

Logan, UT · On-site

... Node.js, Python, or similar languages. * Basic understanding of cloud platforms (AWS, Azure, or GCP). * Familiarity with version control workflows using Git. * Exposure to AI/ML APIs or large ...

New

Autonomous Solutions

AI Software Engineer I

Logan, UT · On-site

$68K - $117K/yr

... Node.js, Python, or similar languages. * Basic understanding of cloud platforms (AWS, Azure, or GCP). * Familiarity with version control workflows using Git. * Exposure to AI/ML APIs or large ...

Podium

Staff AI Engineer - Utah

Lehi, UT · On-site

Collaborate with engineers, product managers, and AI/ML scientists to deliver end-to-end features ... Python, or Elixir. * 1+ years of professional experience deploying and maintaining AI agents in ...

Podium

Staff AI Engineer - USA

Lehi, UT

Collaborate with engineers, product managers, and AI/ML scientists to deliver end-to-end features ... Python, or Elixir. * 1+ years of professional experience deploying and maintaining AI agents in ...

Podium

Senior AI Engineer - Agentic

Lehi, UT · On-site

$98K - $134K/yr

Collaborate with engineers, product managers, and AI/ML scientists to deliver end-to-end features ... Python, or Elixir. * 1+ years of professional experience deploying and maintaining AI agents in ...

Zions Bank

AI Engineer - Innovation Lab

Midvale, UT · On-site

Responsibilities: * Develop innovative AI/ML software solutions, specifically focusing on ... Python programmingand application servers (e.g., WebSphere, Tomcat), data modeling concepts, and ...

Patientco

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

This is a unique opportunity to apply state-of-the-art Generative AI and NLP techniques to a real ... Strong proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, Hugging ...

Enzo Health

Senior Full Stack Engineer

Lehi, UT · On-site

Build systems that leverage AI/ML to automate healthcare workflows (OASIS, intake, scribe, etc ... Python, etc.) * Experience designing and building scalable systems and APIs * Comfort working ...

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Python Ai Ml information

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, machine learning, or data science, often involving advanced skills in programming, deep learning, and data analysis. Such roles are usually found in senior or executive levels, require extensive experience, and may include responsibilities like leading AI projects or developing innovative solutions.

Is Python good for AI ML?

Python is widely regarded as an excellent programming language for AI and machine learning roles due to its simplicity, extensive libraries like TensorFlow and scikit-learn, and strong community support. It is commonly used by AI/ML professionals for developing models, data analysis, and automation tasks, making it a valuable skill for such jobs.

Which 3 jobs will survive AI?

For a Python AI ML professional, roles such as data scientist, machine learning engineer, and AI researcher are likely to persist due to their reliance on complex problem-solving, domain expertise, and ongoing innovation. These jobs require advanced analytical skills, programming proficiency, and understanding of AI frameworks, making them less susceptible to automation. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience in this field.

What are Python AI/ML engineers?

Python AI/ML engineers are professionals who use Python programming language to design, develop, and implement artificial intelligence (AI) and machine learning (ML) algorithms and models. Their work involves analyzing data, building predictive models, and deploying machine learning solutions to solve real-world problems. They are skilled in libraries such as TensorFlow, PyTorch, and Scikit-learn, and often collaborate with data scientists and software engineers. These engineers play a key role in transforming data into actionable insights and AI-powered applications.

What are the key skills and qualifications needed to thrive as a Python AI/ML Engineer, and why are they important?

To thrive as a Python AI/ML Engineer, you need strong proficiency in Python programming, a solid background in mathematics and statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), version control systems, and cloud platforms is typically required, along with relevant certifications being advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills that help translate business needs into technical solutions. These skills ensure the development of accurate, scalable, and efficient AI/ML models that deliver value to organizations.

What is the salary of Python AI ML?

The salary for Python AI ML roles varies depending on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Entry-level positions may start lower, while experienced professionals with skills in machine learning, deep learning, and data analysis can earn higher salaries, especially in tech hubs or companies requiring advanced expertise.

How does a Python AI/ML professional typically collaborate with data engineers and domain experts during a project?

Python AI/ML professionals frequently work closely with data engineers to ensure data pipelines are robust, clean, and optimized for modeling. They also collaborate with domain experts to understand business needs, refine problem statements, and interpret results in the context of real-world applications. Effective communication and regular meetings are essential, as these collaborations help bridge technical and business perspectives, ensuring that machine learning solutions are both technically sound and aligned with organizational goals.
What are popular job titles related to Python Ai Ml jobs in Utah? For Python Ai Ml jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Python Ai Ml jobs in Utah look for? The top searched job categories for Python Ai Ml jobs in Utah are:
What cities in Utah are hiring for Python Ai Ml jobs? Cities in Utah with the most Python Ai Ml job openings:
Python Ai Ml jobs near you

Product Manager - AI Applications

Sitreps 2 SteerCos

UT • On-site, Remote

Full-time

Re-posted 29 days ago

Job description


Role: Product Manager - AI Applications
Location: Remote
Salary: $200-$240K + Equity
About US
This is a revolutionary platform for military staff workflows and operational planning. The software is designed to enable smarter, real-time decisions. With unparalleled collaboration features, AI-enhanced tools, and customizable workflows, this product makes staffs superhuman. Our expanding roster of customers includes COCOMs and Service Components worldwide.
About the Role
As a Staff Product Manager focused on Applied AI, you'll define and execute our vision for AI-driven capabilities across the military staff workflow. You'll lead strategic product decisions across intelligent search and summarization, assisted drafting, and predictive capabilities, ensuring our AI features are reliable, secure, and mission-ready. Working closely with Engineering, Design, Data Science, Security, and military SMEs, you'll prioritize high-impact initiatives that transform how staffs plan and operate.
Responsibilities
  • Define and Own AI Strategy
    Develop and maintain a strategic roadmap that aligns withAI goals across foundational, generative, and predictive stages. Champion and communicate the vision across cross-functional teams and external stakeholders..
  • Advance Generative AI Features
    Drive the creation of AI-assisted workflows including draft generation, document linking, and natural-language interfaces that accelerate planning cycles. Define user experiences, success metrics, and iteration plans.
  • Partner on Platform & Quality Standards
    Work with Engineering to define AI infrastructure requirements including vector databases, prompt frameworks, and model observability. Set quality benchmarks and evaluation practices to monitor reliability, performance, and cost.
  • Ensure Security & Governance
    Collaborate with Security to implement data protection, access controls, and policy alignment needed for trusted use in high-security environments.
  • Measure and Communicate Impact
    Define and track metrics tied to AI adoption, user efficiency, and planning effectiveness. Communicate progress and insights clearly in an async-first, distributed team environment.
About You
You thrive in complex, ambiguous environments and enjoy turning advanced AI technologies into simple, powerful tools. You're fluent in both the technical details and the strategic value of AI, and you know how to balance bold product bets with responsible execution. You're excited to work with mission-driven users and have the ability to lead cross-functional teams toward outcomes that matter.
Qualifications
  • 5+ years of product management experience, with at least 3 years delivering AI/ML-based features in B2B SaaS or data-rich platforms.
  • Proven track record shipping AI-powered features (search, summarization, generative drafting, or predictive insights) with modern LLM tooling and architectures.
  • Experience managing model evaluation, observability, and optimization efforts across quality, latency, and cost.
  • Strong understanding of data governance, security, and compliance, preferably in regulated or high-trust domains.
  • Proficiency in SQL and basic Python for data validation and analysis.
  • Excellent communication skills, especially in async and distributed environments.
  • Bonus: Experience in defense, operational planning, or classified AI deployments.

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