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Tensorflow Jobs in Florida (NOW HIRING)

Accenture Federal Services

AI/ML Engineer

Tampa, FL · Hybrid

Proficiency with ML and DL frameworks (PyTorch, TensorFlow, HuggingFace). * Solid understanding of algorithms, data structures, APIs, and distributed systems. * Experience with cloud platforms (AWS ...

Pwc

AI Engineer

Tampa, FL · On-site

$50K - $112K/yr

Responsibilities - Designing and implementing AI systems to transform raw data into actionable insights - Developing scalable machine learning models using Python and TensorFlow - Integrating data ...

Pwc

AI Engineer

Boca Raton, FL · On-site

$50K - $112K/yr

Responsibilities - Designing and implementing AI systems to transform raw data into actionable insights - Developing scalable machine learning models using Python and TensorFlow - Integrating data ...

Eightpoint Interactive, Inc.

AI Engineer

Fort Myers, FL · On-site

$110 - $160/hr

PyTorch and/or TensorFlow * Dataset creation--sourcing, curating, and building datasets for training and evaluation * AWS SageMaker * Evaluation of model and retrieval quality (eval datasets ...

New

ReliaQuest

Associate Software Engineer

Tampa, FL

Hands on experience with one or more of the following technologies (Elasticsearch, Kafka, Apache Spark, Logstash, Hadoop/hive, Tensorflow, Kibana, Athena/Presto/BigTable, Angular, React)

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$28K

$91.7K

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How much do tensorflow jobs pay per year?

As of Aug 19, 2026, the average yearly pay for tensorflow in Florida is $91,721.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,600.00 and $101,600.00 per year, depending on experience, location, and employer.

What is a TensorFlow?

A TensorFlow job typically involves developing, training, and deploying machine learning models using TensorFlow, an open-source AI framework. Responsibilities may include data preprocessing, building neural networks, optimizing model performance, and integrating models into applications. These roles are common in industries like healthcare, finance, and autonomous systems, requiring skills in Python, deep learning, and TensorFlow's ecosystem.

What does a TensorFlow developer do?

As a TensorFlow Developer, your day-to-day responsibilities often include designing and building machine learning models, preprocessing data, conducting model training and evaluation, and deploying models to production environments. You may also work closely with data scientists, software engineers, and product managers to identify use cases, define project requirements, and optimize system performance. Regular tasks can involve using tools for data visualization, debugging, and performance tuning, as well as keeping up with the latest advancements in machine learning techniques. Collaboration and clear communication are key, as projects often require input and feedback from multiple technical and non-technical stakeholders.

What are the key skills and qualifications needed to thrive in the TensorFlow position?

To thrive in a TensorFlow Developer role, you need strong programming skills in Python, deep learning knowledge, and hands-on experience with TensorFlow and related AI frameworks. Familiarity with tools like Keras, TensorBoard, and cloud platforms such as Google Cloud is often required, and TensorFlow Developer certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help professionals navigate complex projects and collaborate effectively with cross-functional teams. These skills and qualities ensure the successful design, deployment, and optimization of machine learning models in real-world applications.

What jobs use TensorFlow?

Jobs that use TensorFlow include machine learning engineer, data scientist, AI researcher, and deep learning engineer. These roles involve developing and deploying neural network models, often requiring programming skills in Python and knowledge of machine learning frameworks. TensorFlow is widely used in industries such as technology, healthcare, finance, and automotive for tasks like image recognition, natural language processing, and predictive analytics.

What are the most commonly searched types of Tensorflow jobs in Florida?

The most popular types of Tensorflow jobs in Florida are:

What are popular job titles related to Tensorflow jobs in Florida?

For Tensorflow jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Tensorflow jobs in Florida look for?

The top searched job categories for Tensorflow jobs in Florida are:

What cities in Florida are hiring for Tensorflow jobs?

Cities in Florida with the most Tensorflow job openings:

Tensorflow jobs near you
Infographic showing various Tensorflow job openings in Florida as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $91,721 per year, or $44.1 per hour.

AI/ML Engineer

Accenture Federal Services

Tampa, FL • Hybrid

Full-time

Posted 26 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

47th of 492 rated business services

Job description

We are seeking an AI Engineer with strong experience in Large Language Models (LLMs) and RetrievalAugmented Generation (RAG) to design, build, and optimize intelligent systems that solve complex mission and enterprise challenges. This role blends modern GenAI engineering with traditional computer science and machine learning, supporting both rapid prototyping and productiongrade delivery.

Key Responsibilities

  • Design, develop, and maintain RAG pipelines, including document ingestion, embedding generation, vector storage, retrieval logic, and LLM orchestration.
  • Build and optimize LLMpowered applications for classification, summarization, Q&A, knowledge retrieval, and workflow automation.
  • Apply core software engineering and ML fundamentals to ensure performance, reliability, and security (e.g., data structures, algorithms, model evaluation, MLOps, API development).
  • Implement and tune traditional ML models when required (e.g., regression, clustering, feature engineering, classical NLP).
  • Integrate cloudnative services (Azure/AWS), data pipelines, and containerized workloads (Docker). Collaborate closely with crossfunctional teams-including data engineers, architects, and mission SMEs-to translate requirements into scalable solutions.

Required Skills

  • Handson experience with LLMs, prompt engineering, embeddings, vector databases, and RAG frameworks.
  • Strong programming skills in Python; familiarity with Java/C++ is a plus.
  • Proficiency with ML and DL frameworks (PyTorch, TensorFlow, HuggingFace).
  • Solid understanding of algorithms, data structures, APIs, and distributed systems.
  • Experience with cloud platforms (AWS or Azure) and containerization (Docker).
  • Ability to work across structured and unstructured datasets.

Preferred Skills

  • Experience building productionready AI/ML systems, including CI/CD or MLOps frameworks (MLFlow/BentoML).
  • Understanding of data governance, security constraints, and model risk management.
  • Ability to communicate complex technical concepts to nontechnical stakeholders.

Security Clearance: 

  • Active TS/SCI Clearance

#LI-Defense 

#LI-Hybrid 

What Accenture Federal Services employees say

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Hours and flexibility

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