TensorFlow Jobs in Computer Vision
Browse CV roles that require TensorFlow across all industries and experience levels.
2 open positions
Open Positions
What is TensorFlow?
TensorFlow is Google’s deep learning framework, historically dominant in production and still widely deployed in enterprise and mobile settings. Its greatest strength in computer vision is the deployment path — TFLite for edge and mobile, TensorFlow Serving for backend inference.
Where TensorFlow is used
Most common at organisations with established TensorFlow infrastructure, in mobile vision products shipping through TFLite, and in regulated environments where an existing validated pipeline is expensive to replace.
Roles that ask for TensorFlow
- Machine Learning Engineer
- Computer Vision Engineer
- Deep Learning Engineer
- ML Platform Engineer
- Mobile AI Engineer
Related skills & tools
TensorFlow jobs — common questions
Is TensorFlow still worth learning for CV?
It is worth being able to read and maintain, since a great deal of production code is written in it. If you are choosing where to invest first, PyTorch appears in more current openings — but TensorFlow experience is a genuine advantage for mobile and enterprise roles.
What is the relationship between TensorFlow and Keras?
Keras is the high-level API bundled with TensorFlow as tf.keras, covering most model building without touching lower-level operations. Keras 3 now also runs on PyTorch and JAX backends.
Where does TensorFlow have a clear edge?
On-device deployment through TFLite, which has the broadest mobile and microcontroller support of any framework, and mature serving infrastructure for organisations already invested in Google Cloud.