TensorFlow Jobs (2026)
TensorFlow remains a major deep learning framework, particularly strong in production deployments, mobile/edge AI (TensorFlow Lite), and enterprise ML pipelines (TFX). Many established companies and Google ecosystem projects rely on TensorFlow, creating steady demand for engineers with this expertise.
Last updated: October 1, 2026
Latest TensorFlow Jobs
View all jobsEnterprise - Senior AI/ML Engineer - TensorFlow, Pytorch, Development
Data Scientist 2 - Python/R/TensorFlow/SQL/Tableau
Data Analyst
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Machine Learning Engineer
Infra Tech Support Practitioner
AI / ML Engineer
AI / ML Engineer
Machine Learning/MLOps Engineer
Senior Machine Learning/MLOps Engineer
AI ML Developer II - Java, Agentic AI
Staff Machine Learning Engineer Lead
UAS Software Engineer
Azure AI Platform Engineer
Machine Learning Engineer
AI Engineer
Machine Learning Engineer - VLM/LLM Integration
Staff Research Engineering Lead
Senior Software Engineer
Gemini Engineer
AI Engineer
Frequently Asked Questions
Is TensorFlow still relevant in 2026?
Yes, TensorFlow maintains a strong presence in production ML deployments, especially at Google, enterprise companies, and in mobile/edge use cases via TensorFlow Lite. While PyTorch leads in research, TensorFlow (with Keras) remains widely used for deployment-focused roles and Google Cloud ML pipelines.
What TensorFlow skills are most valued?
Key skills include TFX pipelines for production ML, TensorFlow Serving for model deployment, TensorFlow Lite for mobile/edge AI, Keras for model building, and experience with Google Cloud Vertex AI. Knowledge of TensorFlow.js for web deployment is a growing niche.
AI Job Insights for TensorFlow Jobs
Salary Range (Yearly, USD)
$40K - $1000K
Median $135K from 96 listings with salary data
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