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Junior Ai Machine Learning Python Jobs in Salt Lake City, UT

System One

AI Engineer

Salt Lake City, UT · On-site

Junior AI Engineer Job Type: Permanent Full Time Location: Salt Lake City, Utah, United States How ... Proficiency in Python and SQL * Hands-on experience with: o AI/ML and Generative AI o Large ...

NICE

Senior Machine Learning Engineer

Sandy, UT · Hybrid

$99K - $136K/yr

The Senior Machine Learning Engineer monitors the rapidly evolving speech AI landscape to identify ... Proficiency in Python and familiarity with speech processing libraries and tools. * Experience with ...

System One

AI Engineer

Salt Lake City, UT · On-site

Junior AI Engineer Job Type: Permanent Full Time Location: Salt Lake City, Utah, United States How ... Proficiency in Python and SQL * Hands-on experience with: o AI/ML and Generative AI o Large ...

System One

AI Engineer

Salt Lake City, UT · On-site

Junior AI Engineer Job Type: Permanent Full Time Location: Salt Lake City, Utah, United States How ... Proficiency in Python and SQL * Hands-on experience with: o AI/ML and Generative AI o Large ...

NICE

Senior Machine Learning Engineer

Sandy, UT · On-site

$113K - $150K/yr

This role requires deep expertise in speech AI systems, strong quantitative skills, and the ... Proficiency in Python and familiarity with speech processing libraries and tools. * Experience with ...

Bespoke Labs

Machine Learning Engineer

West Jordan, UT · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops ...

Bread Financial

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

Machine Learning * Python (Programming Language) * R Statistics * Statistical Analysis * Statistics ... Agentic AI Reports To : Senior Manager and above Direct Reports : 0 Work Environment * Normal ...

Ancestry

Machine Learning Engineer, Co-op

Lehi, UT · Remote

Build and optimize AI agents to enhance automation and decision-making. * Optimize model inference ... Proficient in Python and familiar with ML libraries such as TensorFlow, PyTorch or Scikit-learn.

TSMG

AI/ML Data Contributor

Salt Lake City, UT · On-site

In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT · On-site

In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT · On-site

In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

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Junior Ai Machine Learning Python information

See Salt Lake City, UT salary details

$45K

$91.5K

$137.4K

How much do junior ai machine learning python jobs pay per year?

As of Aug 15, 2026, the average yearly pay for junior ai machine learning python in Salt Lake City, UT is $91,490.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,600.00 and $92,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior AI machine learning Python engineer, and why are they important?

To thrive as a Junior AI Machine Learning Python Engineer, you need a solid understanding of Python programming, statistics, and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, Scikit-learn, Jupyter Notebooks, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help individuals excel in collaborative and fast-evolving technical environments. These competencies are crucial for developing robust AI solutions, learning from senior colleagues, and adapting to the rapidly changing landscape of machine learning.

What does a junior AI machine learning Python engineer do?

A Junior AI Machine Learning Python engineer assists in developing, testing, and maintaining machine learning models using Python. They typically work with data preparation, preprocessing, and applying basic algorithms to solve real-world problems. Under the guidance of senior engineers, they help implement solutions, evaluate model performance, and may contribute to the deployment of models into production environments. Their role often includes learning best practices in coding, software development, and collaborating with data scientists and engineers.

What are some typical projects or tasks a junior AI machine learning Python developer might work on in their first year?

As a Junior AI/Machine Learning Python developer, you can expect to work on tasks such as cleaning and preparing datasets, developing and testing simple machine learning models, and assisting in the implementation of algorithms under the supervision of senior team members. You may also help automate data pipelines, write scripts for data extraction, and contribute to model evaluation and reporting. Collaboration with data scientists, software engineers, and product managers is common, providing valuable learning opportunities and exposure to the full machine learning workflow.

What is the difference between Junior Ai Machine Learning Python vs Data Analyst?

AspectJunior Ai Machine Learning PythonData Analyst
Required SkillsPython, Machine Learning, AI concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
CertificationsPython certifications, AI/ML coursesData analysis or visualization certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports, supporting decision-making

Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Junior Ai Machine Learning Python jobs in Salt Lake City, UT?

For Junior Ai Machine Learning Python jobs in Salt Lake City, UT, the most frequently searched job titles are:

What job categories do people searching Junior Ai Machine Learning Python jobs in Salt Lake City, UT look for?

The top searched job categories for Junior Ai Machine Learning Python jobs in Salt Lake City, UT are:

What cities near Salt Lake City, UT are hiring for Junior Ai Machine Learning Python jobs?

Cities near Salt Lake City, UT with the most Junior Ai Machine Learning Python job openings:

Junior Ai Machine Learning Python jobs near you

AI Engineer

System One

Salt Lake City, UT • On-site

Full-time

Re-posted 8 days ago

Job description

Junior AI Engineer Job Type: Permanent Full Time Location: Salt Lake City, Utah, United States How you'll make an impact • Design and develop AI-driven product features using ML, GenAI, and LLMs • Build and deploy scalable AI systems using cloud-native architectures • Implement RAG pipelines, vector databases, and conversational AI systems • Develop RESTful APIs and microservices (e.g., FastAPI) for model serving • Containerize and orchestrate applications using Docker and Kubernetes • Ensure system reliability, scalability, security, and cost efficiency • Collaborate cross-functionally with product, engineering, and business teams Required qualifications to be successful in this role What you'll bring • Up to 2 years of experience in engineering or related roles • Familiarity with AI agents and agentic frameworks (e.g., LangChain, LangGraph) • Understanding of agent design patterns and evaluation techniques • Experience with Model Context Protocol (MCP) servers • Proficiency in Python and SQL • Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt engineering o RAG architectures and vector databases o MLOps practices • Experience with Docker, Kubernetes, and CI/CD pipelines • Understanding of microservices architecture and API development • Knowledge of serverless design, 12-factor apps, autoscaling, and high availability • Strong problem-solving and communication skills

Ref: #404-IT Pittsburgh