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Overview
Computer vision engineers design, train and test machine learning systems that interpret digital images or video for tasks such as classification, inspection, diagnosis, robotics or autonomous driving.
In job descriptions, look for image recognition, digital image processing, Python, data science, model training, data quality, prototypes, simulation and production deployment.
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Open in Job ExplorerWork context
Computer vision engineers work with image data pipelines, model experiments and software prototypes that turn pixels into classifications, detections or measurements for real products.
Skills and specializations
Strong roles usually combine Python, data science, digital image processing, model evaluation, data quality criteria and enough engineering to move prototypes into maintained systems.
Salary context
Salary context depends on machine learning depth, data scale, product risk, deployment responsibility, sector and whether the role owns research, software delivery or both.
Career paths
Paths can move toward applied scientist, machine learning engineer, data engineering, technical lead, robotics perception, medical imaging or model quality and evaluation roles.
Good to know
Check whether vacancies emphasize research papers, production code, annotated datasets, edge devices, simulation, customer demos or long-term maintenance of vision systems.
Editorial note
This guide gives editorial career context for computer vision engineering. It is not official labour-market statistics or salary data.
Map overview
Click the map to search for computer vision engineer jobs.
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O*NET relationships
See occupations connected to this ESCO occupation in the official O*NET–ESCO mapping. The relationship type comes from the source and is not a ranking or recommendation.
O*NET relationships: 1
Data Scientists
15-2051.00
Close relationship
The occupations are closely related, but the official mapping does not treat them as exact equivalents.
Open in O*NETSource and method
These relationships come from the official European Commission O*NET–ESCO crosswalk.
Relationship direction: O*NET occupation to ESCO occupation.
Several O*NET occupations can point to the same ESCO occupation, and one O*NET occupation can point to several ESCO occupations.
AltoTrail preserves the source relationship type. The order is technical and does not show which occupation is best, most relevant or recommended.
AltoTrail validates and presents the source relationships without adding ranking or recommendation semantics.
Alternative labels
Occupation group
Systems analysts (2511)
Source facts
| ESCO URI | http://data.europa.eu/esco/occupation/1c5a45b9-440e-4726-b565-16a952abd341 |
|---|---|
| ESCO code | 2511.2 |
| ISCO group | 2511 |
| Concept type | Occupation |