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Tensorflow Developer Jobs in Utah (NOW HIRING)

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

Implement automation, CI/CD, DevOps, and MLOps practices to create efficient, repeatable, and ... TensorFlow, PyTorch, etc.). * Experience implementing CI/CD pipelines, MLOps practices, and ...

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

Implement automation, CI/CD, DevOps, and MLOps practices to create efficient, repeatable, and ... TensorFlow, PyTorch, etc.). * Experience implementing CI/CD pipelines, MLOps practices, and ...

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

Implement automation, CI/CD, DevOps, and MLOps practices to create efficient, repeatable, and ... TensorFlow, PyTorch, etc.). * Experience implementing CI/CD pipelines, MLOps practices, and ...

Data/Ai Engineer Intern1 Data/AI Engineer in the Data & Ai Team Launch Your Career with Jade Global ... Familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch * Good ...

Data/Ai Engineer Intern1 Data/AI Engineer in the Data & Ai Team Launch Your Career with Jade Global ... Familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch * Good ...

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Showing results 1-20

Tensorflow Developer information

See Utah salary details

$17

$41

$91

How much do tensorflow developer jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for tensorflow developer in Utah is $41.23, according to ZipRecruiter salary data. Most workers in this role earn between $21.44 and $49.90 per hour, depending on experience, location, and employer.

What are the typical daily tasks and responsibilities of a Tensorflow Developer?

As a Tensorflow Developer, your daily tasks often include designing, coding, and refining machine learning models using Tensorflow, as well as preprocessing data and evaluating model performance. You may also be responsible for integrating models into production systems, troubleshooting issues, and collaborating closely with data scientists, engineers, and product teams. Staying updated with the latest developments in the machine learning ecosystem and optimizing solutions for scalability and efficiency are also common aspects of this role. By working on diverse projects, you'll have opportunities to deepen your understanding and broaden your expertise in different application areas.

What is a TensorFlow Developer job?

A TensorFlow Developer is responsible for designing, building, and deploying machine learning models using TensorFlow, an open-source deep learning framework. They work with neural networks, data preprocessing, and optimization techniques to improve model performance. Their role often includes collaborating with data scientists and engineers to integrate models into applications, ensuring scalability and efficiency. TensorFlow Developers typically have expertise in Python, TensorFlow libraries, and deep learning concepts.

What are the key skills and qualifications needed to thrive in the Tensorflow Developer position, and why are they important?

To thrive as a Tensorflow Developer, you need a solid understanding of machine learning and deep learning principles, strong Python programming skills, and practical experience with the Tensorflow framework. Familiarity with tools such as Tensorboard, Keras, and cloud-based ML platforms, as well as relevant certifications like TensorFlow Developer Certificate, is highly valued. Problem-solving ability, attention to detail, and effective teamwork and communication skills help set top candidates apart. These competencies enable developers to design, implement, and optimize machine learning models that address complex business challenges in a collaborative environment.

What are popular job titles related to Tensorflow Developer jobs in Utah? For Tensorflow Developer jobs in Utah, the most frequently searched job titles are:
Infographic showing various Tensorflow Developer job openings in Utah as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $85,756 per year, or $41.2 per hour.
Senior Data Engineer

Senior Data Engineer

Fidelity Investments

Salt Lake City, UT • On-site

$102K - $139K/yr

Full-time

Posted 7 days ago


Fidelity Investments rating

8.8

Company rating: 8.8 out of 10

Based on 268 frontline employees who took The Breakroom Quiz

9th of 150 rated financial services


Job description


Position Description:
Designs and implements scalable data pipelines, optimizes workflows for performance and reliability, and ensures compliance with data governance policies. Programs testable and maintainable software solutions using Object Oriented (OO) Python programming and Machine Learning (ML) libraries, including Pandas, NumPy, Scikit-learn, and TensorFlow. Develops and designs functional programming, emerging technologies, and messaging frameworks, using Kafka. Implements business rule management systems in Python or Java with Drools, Pyke, and Nools. Leverages quantitative, statistics, and econometrics (including probability, linear regression, time series data analysis, and optimizations) techniques and methods. Programs testable and maintainable software solutions using Splunk, Snowflake, YugabyteDB, Aerospike, and S3 database management systems. Employs Agile development lifecycle methodologies (Kanban and SCRUM).
Primary Responsibilities:
  • Develops software system testing and validation procedures, programming, and documentation.
  • Develops original and creative technical solutions to on-going development efforts.
  • Designs applications or subsystems on major projects and for/in multiple platforms.
  • Performs technical and functional analysis for data engineering projects.
  • Supports and performs all phases of testing leading to implementation.
  • Develops comprehensive documentation for multiple applications supporting several corporate initiatives.
  • Responsible for post-installation testing of any problems.
  • Establishes project plans for projects of moderate scope.
  • Works on complex assignments and often multiple phases of a project.
  • Collaborates with teams to support data-centric initiatives.
  • Performs independent and complex technical and functional analysis for multiple projects supporting several initiatives.

Education and Experience:
Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior Data Engineer (or closely related occupation) architecting, building, deploying, and monitoring real-time and batch pipelines for data engineering in a financial services environment.
Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and one (1) year of experience as a Senior Data Engineer (or closely related occupation) architecting, building, deploying, and monitoring real-time and batch pipelines for data engineering in a financial services environment.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") performing cloud-native, event-driven, data platform architecture using Amazon Web Services (AWS) (Lambda, Glue, EC2, EMR, Athena, and Crawler), PySpark, Kafka, and Airflow in enterprise environments.
  • DE building and optimizing data lakes, warehouses, and models, using Snowflake, Redshift, SQL, and Denodo to access federated databases (Oracle, DB2, Teradata, MongoDB, PostgreSQL, MSSQL, Yugabyte, and Aerospike); and enabling scalable transformations, performance tuning, and cross-platform insights.
  • DE developing Continuous Integration and Continuous Delivery (CI/CD) pipeline development and data workflow orchestration, using Airflow, Control-M, Jenkins, SQL, Python, Terraform, and Docker within the Software Development Life Cycle (SDLC), to automate ingestion, transformation, validation, and monitoring for data integrity, Agile delivery, and operational efficiency.
  • DE performing Extract Transform Load /Extract Load Transform (ETL/ELT) for predictive modeling and analytics, using Python, Pandas, Scikit-learn, TensorFlow, and Snowpark; generating insights using PowerBI, Tableau, or Quicksight; and developing scalable solutions using Java, Shell, PL/SQL, Talend, Alteryx, Informatica, Unix, and Linux.

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Information Technology
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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