Machine Vision Engineer salary in Kenya

Average Yearly Salary of Machine Vision Engineer in Kenya is approximately 1,574,198 KES (9,929 USD). Data is for 2025 and indicates a pre-tax value. The salary itself depends on multiple factors such as seniority, job performance, certifications, experience or any other bonuses. The value indicated is an average amount based on records we have in database. Real values may vary. The data is for orientational purposes.

What does Machine Vision Engineer do?

A machine vision engineer is responsible for developing and implementing computer vision systems that enable machines to see, analyze, and interpret visual information. They design and implement algorithms and software solutions to process images and videos captured by cameras or sensors. Machine vision engineers work across various industries such as manufacturing, robotics, healthcare, and autonomous vehicles. Their key tasks include designing and optimizing image processing algorithms, developing machine learning models for object recognition and tracking, calibrating cameras and sensors, and integrating vision systems into larger automation systems. They also troubleshoot and debug issues related to image quality, lighting conditions, and hardware limitations.

Skills: machine vision engineer, computer vision, image processing, algorithm development, machine learning, automation
Job industry: Manufacturing

How much does Machine Vision Engineer make?

Difference in salary year over year or average salary increase is approximately 4 %


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Salary comparison to National average

Is Machine Vision Engineer a well paid job?

Yes, our data shows that Machine Vision Engineer is a well paid job. With years and experience the salary might increase even further, resulting in higher satisfaction.

What is considered a high salary for Machine Vision Engineer?

High salary for Machine Vision Engineer would be somewhere between 1,731,618 KES and 2,282,587 KES. However this is an estimation based on Gaussian Distribution.

How much can you save working as Machine Vision Engineer in Kenya?

Living in Kenya the approximate monthly expenses are: 240 USD. This amount covers basic needs such as food, housing, clothing, healthcare and education costs for a single person. No luxury expenses such as traveling, leisure, hobbies are included in the estimation.

Estimated Yearly Salary: 1,574,198 KES
Estimated Monthly Salary: 131,183 KES
Estimated Weekly Salary: 30,273 KES per week
Estimated Hourly Salary: 757 KES per hour
By working as Machine Vision Engineer a person can save up to 587 USD per month or 7,049 USD yearly. Values are pre-tax.

NOTE: These values are estimates and are averaged for the whole country. Furthermore the value is likely exaggerated as no other expenses are taken into account in the projection. Unessential expenses are very subjective and are difficult to assess. Most likely the previously estimated number is significantly lower for majority of people. Expenses in different cities across the country may vary. Above values accuracy is low and is based on limited set of data obtained.

For more information regarding expenses in Kenya, see costs of living in Kenya.

Salary comparison to region and neighbouring coutries

Country's neighbours are: Ethiopia, Somalia, South Sudan, Tanzania, Uganda..
To make it easier for comparison a conversion from local currency to USD has been made (conversion rates may vary).

Estimated Yearly Salary for Machine Vision Engineer

Last revision of data: 2025-01-04

Salary increase per years of experience

Based on data available the salary increase per years of experience is as following

0 years (beginner) equals base salary

1 to 5 years of experience yields +12% salary increase

6 to 10 years of experience yields +25% salary increase

11 to 15 years of experience yields +16% salary increase

16 to 25 years of experience yields +9% salary increase

more than 25 years of experience yields +10% salary increase

NOTE: Details based on limited set of data. Percentages may vary. The salary increase over years of experience can vary widely based on factors such as job industry, job role, location, company size, and individual performance. To gain even larger increase in salary one is advised to switch jobs and / or employer.

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Data as of 2025

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