Python Jobs in Computer Vision
Browse CV roles that require Python across all industries and experience levels.
4 open positions
Open Positions
Perception Engineer, Senior
9 Mothers
Machine Learning Technical Manager
Autodesk
Computer Vision/ML Engineer
Norbert Health
Senior Scientist, Computer Vision & Robotics
Charles River Analytics
What is Python?
Python is the primary language of computer vision research and the majority of applied work. Its ecosystem — PyTorch, OpenCV, NumPy, scikit-image — covers essentially the whole field, and it is the language most CV job descriptions assume without stating.
Where Python is used
Universal for model development, data pipelines and experimentation. Production systems frequently rewrite the hot path in C++, but the research and training side stays in Python.
Roles that ask for Python
- Computer Vision Engineer
- Machine Learning Engineer
- Research Scientist, Vision
- Deep Learning Engineer
- Data Scientist, Vision
Related skills & tools
Python jobs — common questions
Is Python alone enough for a computer vision career?
For research, data science and much applied ML work, yes. For robotics, embedded vision, and any latency-critical production system, C++ becomes necessary — and that boundary is where a lot of the better-paid work sits.
What Python skills do CV interviews actually test?
Efficient NumPy — vectorisation, broadcasting, avoiding loops over pixels — plus solid understanding of the PyTorch data pipeline, memory behaviour with large arrays, and multiprocessing for data loading.
How does Python performance get handled in production?
By pushing work into compiled libraries, exporting models to TensorRT or ONNX Runtime, and rewriting bottlenecks in C++ or CUDA. Python typically remains the orchestration layer rather than the compute layer.