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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.
Explore this occupation
Search jobsWork 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.
Where might this occupation occur?
This occupation may occur in several kinds of economic activity. Here are some examples and other occupations that may be found in the same areas.
Computer programming activities
This is one example. Other occupations in this activity include data scientist, data analyst and artificial intelligence engineer.
Explore this activityComputer consultancy and computer facilities management activities
This occupation may also occur in this activity. Other occupations there include data scientist, data analyst and artificial intelligence engineer.
Explore this activityThese examples offer an overview but do not show every economic activity where the occupation may occur.
About this information
The selection is based on how occupations are connected to economic activities in ESCO and NACE. Only a few examples are shown to make the information easier to use. The occupations were selected because they are close in occupation area and important skills. The examples are not a ranking. They do not show where most people work, where demand is highest, or which occupation is best suited to a particular person.
Map overview
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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.
NACE Rev. 2.1
Economic activities linked to this occupation.
62.1Computer programming activities62.2Computer consultancy and computer facilities management activities
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 |