Anomaly Detection (including Outlier Detection) North West> Manchester
The table below provides summary statistics and salary benchmarking for jobs advertised in Manchester requiring Anomaly Detection skills. It covers permanent job vacancies from the 6 months leading up to 9 November 2025, with comparisons to the same periods in the previous two years.
Anomaly Detection falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring process or methodology skills in Manchester.
Permanent vacancies with a requirement for process or methodology skills
2,028
3,089
2,303
As % of all permanent jobs advertised in Manchester
85.03%
85.64%
94.70%
Number of salaries quoted
1,274
1,399
1,874
10th Percentile
£28,000
£31,500
£35,000
25th Percentile
£35,000
£41,000
£43,750
Median annual salary (50th Percentile)
£51,000
£55,000
£59,541
Median % change year-on-year
-7.27%
-7.63%
+8.26%
75th Percentile
£70,000
£70,000
£72,500
90th Percentile
£85,000
£85,000
£84,926
North West median annual salary
£50,000
£52,000
£55,000
% change year-on-year
-3.85%
-5.45%
+4.76%
Anomaly Detection Job Vacancy Trend in Manchester
Historical trend showing the proportion of permanent IT job postings citing Anomaly Detection relative to all permanent IT jobs advertised in Manchester.
Anomaly Detection Salary Trend in Manchester
Salary distribution trend for jobs in Manchester citing Anomaly Detection.
Anomaly Detection Top 25 Co-Occurring Skills & Capabilities in Manchester
For the 6 months to 9 November 2025, job vacancies citing Anomaly Detection also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all permanent job ads across the Manchester region with a requirement for Anomaly Detection.
Anomaly Detection Co-Occurring Skills & Capabilities in Manchester 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:
