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Tensorflow Jobs in Florida (NOW HIRING)

247Hire

Machine Learning Engineer

Orlando, FL · On-site

$120 - $160/hr

PyTorch, TensorFlow, Hugging Face Transformers, Diffusers Training: DeepSpeed, Accelerate, Ray, distributed training frameworks Models: GPT/LLaMA variants, DALL‑E/Stable Diffusion, Whisper ...

Jobtailor

Senior Python Engineer

Fort Lauderdale, FL · On-site

$120 - $180/hr

Design and deploy scalable AI/ML solutions utilizing deep learning frameworks (e.g., TensorFlow, PyTorch, Keras) * Perform data preparation activities including cleansing, transformation, and feature ...

Qfanalytics

Machine Learning Engineer

Miami, FL · On-site

$80 - $120/hr

Apply ML/AI tools like TensorFlow/PyTorch to build and train models for various applications. Interface with databases to gather relevant information for analysis and modeling. Fuse and correlate ...

J.P. Morgan

Data Scientist Lead

Tampa, FL

  • Medical

  • Retirement

You will have deep proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers, AWS SageMaker/Bedrock, and hands-on experience with CNN/transformer architectures, OCR technologies, and ...

InterSources Inc

Gen AI Engineer

Tampa, FL · On-site

Preferred : • Working experience with Gemini LLM • Hands-on knowledge in machine learning frameworks like PyTorch, TensorFlow, Keras • Hands-On knowledge on NLP • Understanding of model ...

Next Frontier Capital

Data Scientist Lead

Tampa, FL · On-site

$140 - $200/hr

  • Medical

  • Retirement

You will have deep proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers, AWS SageMaker/Bedrock, and hands‑on experience with CNN/transformer architectures, OCR technologies, and ...

New

JPMorgan Chase & Co.

Data Scientist Lead

Tampa, FL · On-site

  • Medical

  • Retirement

You will have deep proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers, AWS SageMaker/Bedrock, and hands-on experience with CNN/transformer architectures, OCR technologies, and ...

JPMorgan Chase & Co

Data Scientist Lead

Tampa, FL · On-site

  • Medical

  • Retirement

You will have deep proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers, AWS SageMaker/Bedrock, and hands-on experience with CNN/transformer architectures, OCR technologies, and ...

JPMorgan Chase & Co.

Data Scientist Lead

Tampa, FL · On-site

$170 - $230/hr

You will have deep proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers, AWS SageMaker/Bedrock, and hands‑on experience with CNN/transformer architectures, OCR technologies, and ...

JPMorgan Chase & Co.

Data Scientist Lead

Tampa, FL · On-site

  • Medical

  • Retirement

You will have deep proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers, AWS SageMaker/Bedrock, and hands-on experience with CNN/transformer architectures, OCR technologies, and ...

JP Morgan Chase

Data Scientist Lead

Tampa, FL · On-site

  • Medical

  • Retirement

You will have deep proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers, AWS SageMaker/Bedrock, and hands-on experience with CNN/transformer architectures, OCR technologies, and ...

Pwc

AI Engineer

Miami, FL · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

Unicon Pharma Inc.

Data Engineer

Davie, FL · On-site

$104K - $126K/yr

Experience with machine learning frameworks like TensorFlow or PyTorch. Education: Minimum Master's in Data Science and Compute Science - Graduate in recent years a. Data Analysis: Analyze large ...

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Tensorflow information

See Florida salary details

$28K

$91.7K

$146.8K

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.

Information Technology_USA - USA_Developer

Real Soft, Inc.

Jacksonville, FL • On-site

$100K - $136K/yr

Contractor

Re-posted 17 days ago

Job description

2 Candidate Submittal Slots, New High Level PolicyBill Rate - MSP Owner: Rob FintonLocation: White Plains, NY or Fort Lauderdale, FL - Position can be Onsite or RemoteDuration: 6 monthsGBaMS ReqID: 10914533Competencies: 10+ years experience requiredDigital : Machine LearningDigital : DevOpsQuick JD:Senior DevOps Engineer with deep expertise in designing, automating, and operating cloud-based AI/ML platforms.The ideal candidate will have hands-on experience building scalable, secure, and production-grade machine learning environments, with a strong focus on AWS SageMaker, MLOps practices, and modern cloud infrastructure.Experience with Generative AI platforms and services, including Amazon Bedrock, Azure OpenAI, vector databases, RAG architectures, and LLM deployment patterns.Familiarity with ML frameworks such as TensorFlow, PyTorch, MLflow, Kubeflow, or similar technologies.Experience supporting GPU-based workloads and optimizing infrastructure for AI model training and inference.This role will be instrumental in establishing and evolving the organization's AI/ML platform capabilities by delivering robust, automated, and secure cloud infrastructure that accelerates innovation while ensuring operational excellence.Role Summary : Senior DevOps Engineer - AI/ML Platform Engineering (AWS/Azure)This role will be instrumental in establishing and evolving the organization's AI/ML platform capabilities by delivering robust, automated, and secure cloud infrastructure that accelerates innovation while ensuring operational excellence.Senior DevOps Engineer with deep expertise in designing, automating, and operating cloud-based AI/ML platforms. The ideal candidate will have hands-on experience building scalable, secure, and production-grade machine learning environments, with a strong focus on AWS SageMaker, MLOps practices, and modern cloud infrastructure.Key Responsibilities & Qualifications• Extensive hands-on experience designing, implementing, and managing AI/ML infrastructure and MLOps platforms in AWS and/or Azure.• Strong expertise with AWS SageMaker, ML lifecycle management, model training and deployment pipelines, feature stores, model monitoring, and platform automation.• Proven experience building and supporting enterprise-scale MLOps ecosystems, including CI/CD pipelines, Infrastructure as Code (Terraform/CloudFormation/Bicep), containerization, and cloud-native architectures.• Experience integrating AI/ML platforms with modern data ecosystems, including technologies such as Snowflake, data lakes, streaming services, and analytics platforms.• Deep knowledge of cloud services including AWS ECS, EKS/Kubernetes, networking, security, IAM, observability, and high-availability architectures.• Responsible for enabling secure, scalable, resilient, and production-ready AI/ML platforms that support Data Science, Generative AI, and advanced analytics initiatives.• Serve as a trusted technical advisor to engineering, data science, and platform teams, providing architectural guidance, operational best practices, and real-time troubleshooting support.• Demonstrated ability to rapidly assess platform, infrastructure, and deployment challenges and recommend scalable, cost-effective, and secure solutions.• Strong understanding of DevSecOps principles, cloud governance, compliance requirements, and automation strategies for enterprise AI workloads.Excellent communication and collaboration skills, with the ability to bridge the gap between Data Science, Engineering, Operations, and Cloud Infrastructure teams.Preferred Experience• Experience with Generative AI platforms and services, including Amazon Bedrock, Azure OpenAI, vector databases, RAG architectures, and LLM deployment patterns.• Familiarity with ML frameworks such as TensorFlow, PyTorch, MLflow, Kubeflow, or similar technologies.• Experience supporting GPU-based workloads and optimizing infrastructure for AI model training and inference.

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