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Python Ai Ml Jobs in Utah (NOW HIRING)

Agentic AI Engineer

Salt Lake City, UT · Hybrid

$130K - $170K/yr

Hands-on experience with AWS AI/ML services - Bedrock, Strands, AgentCore, SageMaker, or equivalent ... Strong coding skills in Python and/or TypeScript; comfort working across the stack as needed

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Sr. Data Engineer

Draper, UT

$107K - $128K/yr

Your ability to use AI in building reliable, performant, and scalable data, ML, and AI systems ... Design, develop, and maintain scalable data ingestion and transformation pipelines using Python ...

Deep proficiency in Python and SQL, with experience designing scalable data architectures * Experience building and deploying AI/ML systems in production environments * Familiarity with cloud ...

... AI/ML scientists to deliver end-to-end features that power critical business outcomes ... as Go, Python, or Elixir. • 1+ years of professional experience deploying and maintaining AI ...

Deep proficiency in Python and SQL, with experience designing scalable data architectures * Experience building and deploying AI/ML systems in production environments * Familiarity with cloud ...

... AI/ML scientists to deliver end-to-end features that power critical business outcomes ... as Go, Python, or Elixir. • 1+ years of professional experience deploying and maintaining AI ...

Bachelor's degree in Computer Science, Data Science, AI/ML, or related field * Strong Python programming skills * Understanding of ML algorithms like linear regression, classification, clustering ...

This role offers the opportunity to shape and implement AI-driven strategies, leveraging your expertise in Python, SQL, Docker, AWS, and custom ML training techniques. Essential Duties and ...

AI Engineer

Saint George, UT · On-site

$50K - $90K/yr

This role offers the opportunity to shape and implement AI-driven strategies, leveraging your expertise in Python, SQL, Docker, AWS, and custom ML training techniques. Essential Duties and ...

Bachelor's degree in Computer Science, Data Science, AI/ML, or related field * Strong Python programming skills * Understanding of ML algorithms like linear regression, classification, clustering ...

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 ...

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 ...

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 ...

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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 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:
Agentic AI Engineer

Agentic AI Engineer

Taxbit

Salt Lake City, UT • Hybrid

$130K - $170K/yr

Other

Retirement

Posted yesterday


Job description

Opportunity for Impact

TaxBit is seeking an Agentic AI Engineer excited by the intersection of AI and FinTech - building intelligent, customer-facing products that redefine how users interact with tax and compliance workflows. You'll be at the forefront of applied AI, designing and shipping agentic systems that operate autonomously, reason across complex data, and deliver world-class experiences to TaxBit's enterprise customers.

We welcome individuals who are humble, hungry, and eager to tackle some of the most interesting AI engineering challenges in financial technology.


Role and Responsibilities

  • Design, build, and deploy customer-facing agentic AI products using AWS-native technologies including Strands Agents, AgentCore, Bedrock, and Lambda
  • Architect multi-agent systems with reliable tool use, memory, and orchestration patterns that perform accurately in high-stakes financial contexts
  • Partner with product managers and customer success to deeply understand user problems and translate them into elegant, production-grade AI solutions
  • Own the full lifecycle of AI features - from prompt engineering and agent design through evaluation, deployment, and monitoring
  • Write well-designed, well-tested, and maintainable code; participate in code reviews to maintain quality and distribute AI/ML knowledge across the team
  • Instrument and monitor agentic systems in production using observability tooling; iterate rapidly based on real user behavior and feedback
  • Collaborate cross-functionally with engineers, data teams, and compliance stakeholders to ensure AI outputs meet accuracy and regulatory standards

Professional Qualifications

  • 3+ years of professional software engineering experience, with at least 1 year building and shipping AI/LLM-powered applications in production
  • Hands-on experience with AWS AI/ML services - Bedrock, Strands, AgentCore, SageMaker, or equivalent agentic frameworks
  • Strong understanding of agentic patterns: tool use, RAG, memory management, multi-agent orchestration, and human-in-the-loop design
  • Experience designing and evaluating LLM pipelines including prompt engineering, output validation, and hallucination mitigation
  • Familiarity with AI observability, evaluation frameworks, and responsible AI practices
  • Ability to work in an agile environment and communicate complex AI concepts clearly to both technical and non-technical audiences
  • Bachelor's degree in Computer Science, Machine Learning, relevant technical field, or equivalent practical experience

Personal Characteristics

  • Strong coding skills in Python and/or TypeScript; comfort working across the stack as needed
  • Experience with AWS cloud infrastructure, IAM, Lambda, and related services; DataDog and GitHub CI/CD a plus
  • Curiosity-driven - you stay current with fast-moving AI research and tooling and bring new ideas to the team
  • High ownership mentality - you care about what happens after the code ships
  • Passion for building AI systems that are not just capable, but trustworthy and reliable in a compliance-sensitive environment

Compensation 

The base salary range for this role is $130,000 - $170,000. Certain roles may be eligible for incentive compensation, equity, and benefits. Actual compensation will vary depending on various job-related factors, including, but not limited to location, experience, level, and job qualifications.

Benefits & Perks

  • Competitive cash compensation (based on experience)
  • Equity (RSUs)
  • Competitive benefits package
  • A modern 401(k) plan that includes access to crypto, financial wellness benefits, low fees and more 
  • Hybrid working model: 3 days in-office, 2 days WFH/flexible
  • Monday team lunches, snacks and drinks 
  • Discretionary Time Off - enjoy the flexibility to rest, refuel, and recharge 
  • Paid parental leave to bond with your child 
  • Fertility Benefit 
  • Autonomous work and flexibility in how work is performed