MATLAB Job Trends in Slough

MathWorks MATLAB
Berkshire > Slough

The table below provides summary statistics and salary benchmarking for jobs advertised in Slough requiring MATLAB skills. It covers permanent job vacancies from the 6 months leading up to 24 October 2025, with comparisons to the same periods in the previous two years.

6 months to
24 Oct 2025
Same period 2024 Same period 2023
Rank 66 - -
Rank change year-on-year - - -
Permanent jobs citing MATLAB 1 0 0
As % of all permanent jobs in Slough 0.26% - -
As % of the Programming Languages category 1.67% - -
Number of salaries quoted 1 0 0
10th Percentile - - -
25th Percentile £57,500 - -
Median annual salary (50th Percentile) £60,000 - -
75th Percentile £62,500 - -
90th Percentile - - -
Berkshire median annual salary £47,520 £70,000 -
% change year-on-year -32.11% - -

All Programming Languages
Slough

MATLAB falls under the Programming Languages category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring coding skills in Slough.

Permanent vacancies with a requirement for coding skills 60 58 35
As % of all permanent jobs advertised in Slough 15.67% 69.05% 34.65%
Number of salaries quoted 35 40 22
10th Percentile - - £47,750
25th Percentile £41,250 £62,500 £51,563
Median annual salary (50th Percentile) £65,000 £67,500 £67,500
Median % change year-on-year -3.70% - +12.50%
75th Percentile £72,500 £82,500 £71,250
90th Percentile £75,000 - £79,125
Berkshire median annual salary £60,000 £65,000 £56,525
% change year-on-year -7.69% +14.99% -9.56%

MATLAB
Job Vacancy Trend in Slough

Historical trend showing the proportion of permanent IT job postings citing MATLAB relative to all permanent IT jobs advertised in Slough.

MATLAB job vacancy trend in Slough

MATLAB
Salary Trend in Slough

Salary distribution trend for jobs in Slough citing MATLAB.

Salary distribution trend for jobs in Slough citing MATLAB

MATLAB
Co-Occurring Skills & Capabilities in Slough by Category

The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:

Job Titles
1 1 (100.00%) Applications Engineer
Processes & Methodologies
1 1 (100.00%) Commercial Awareness
1 1 (100.00%) Computational Fluid Dynamics
1 1 (100.00%) Data Interpretation
1 1 (100.00%) Physics
1 1 (100.00%) Product Management
1 1 (100.00%) Project Management
1 1 (100.00%) Use Case
Programming Languages
1 1 (100.00%) Python
Qualifications
1 1 (100.00%) Degree
1 1 (100.00%) PhD
Vendors
1 1 (100.00%) ANSYS