Image Classification Jobs
Computer vision roles requiring Image Classification expertise, across all industries and experience levels.
Open Positions
What is Image Classification?
Image classification assigns one or more labels to a whole image. It is the foundational task of modern computer vision, the benchmark on which most backbone architectures are developed, and the pre-training step that most other vision models build upon.
Where Image Classification is used
Diagnostic screening, product categorisation, crop disease identification and pass/fail quality decisions are classification problems, often with severe class imbalance and high error costs.
Roles that ask for Image Classification
- Machine Learning Engineer
- Computer Vision Engineer
- Deep Learning Engineer
- Applied Scientist
- Data Scientist, Vision
Related skills & tools
Image Classification jobs — common questions
Is classification too basic to build a career on?
As a standalone skill, largely yes. Its value now lies in what surrounds it: calibration, handling long-tailed distributions, dealing with label noise, and knowing when a classifier is the wrong framing for the problem.
Which backbones should I know?
ResNet and EfficientNet as the convolutional baselines, ViT and Swin among transformers, ConvNeXt as the modern convolutional counterpoint, and CLIP-style models for zero-shot and open-vocabulary work.
What matters most in regulated domains?
Calibrated confidence and explainability. A medical classifier that is confidently wrong is far more dangerous than one that abstains, so uncertainty estimation and reject options often matter more than headline accuracy.