Novelty Detection Jobs with Work from Home Options

Novelty Detection
UK > Work from Home

The table below provides summary statistics for permanent job vacancies with an option to work from home (WFH) and a requirement for Novelty Detection skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Novelty Detection over the 6 months to 24 May 2024 with a comparison to the same period in the previous 2 years.

6 months to
24 May 2024
Same period 2023 Same period 2022
Rank 576 - 861
Rank change year-on-year - - -
Permanent jobs citing Novelty Detection 4 0 6
As % of all permanent jobs with a WFH option 0.012% - 0.008%
As % of the Processes & Methodologies category 0.013% - 0.009%
Number of salaries quoted 4 0 0
Median annual salary (50th Percentile) £55,000 - -
UK median annual salary £55,000 - -

All Process and Methodology Skills
Work from Home

Novelty Detection is in the Processes and Methodologies category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies with a WFH option and a requirement for process or methodology skills.

Permanent vacancies with a requirement for process or methodology skills 30,919 38,346 69,821
As % of all permanent jobs with a WFH option 90.84% 96.05% 97.08%
Number of salaries quoted 23,399 26,633 41,549
10th Percentile £33,750 £37,500 £36,250
25th Percentile £42,500 £47,500 £46,000
Median annual salary (50th Percentile) £57,500 £62,500 £60,000
Median % change year-on-year -8.00% +4.17% +9.09%
75th Percentile £75,000 £82,500 £80,000
90th Percentile £95,000 £100,000 £95,000
UK median annual salary £55,000 £61,000 £60,000
% change year-on-year -9.84% +1.67% +9.09%

Novelty Detection
Trend for Jobs with a WFH Option

Job vacancies with a work from home option citing Novelty Detection as a proportion of all IT jobs advertised.

Novelty Detection trend for jobs with a WFH option

Novelty Detection
Co-occurring Skills and Capabilities with WFH Options by Category

The follow tables expand on the table above by listing co-occurrences grouped by category. The same employment type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories:

Applications
1 4 (100.00%) Simulink
1 4 (100.00%) Stateflow
General
1 4 (100.00%) Games
Job Titles
1 4 (100.00%) Developer
1 4 (100.00%) Machine Learning Developer
Libraries, Frameworks & Software Standards
1 4 (100.00%) PyTorch
1 4 (100.00%) TensorFlow
Miscellaneous
1 4 (100.00%) Algorithms
1 4 (100.00%) Robotics
Processes & Methodologies
1 4 (100.00%) Artificial Intelligence
1 4 (100.00%) Bayesian Methods
1 4 (100.00%) Computer Vision
1 4 (100.00%) Decision Theory
1 4 (100.00%) Deep Learning
1 4 (100.00%) Feasibility Study
1 4 (100.00%) Game Theory
1 4 (100.00%) Kalman Filter
1 4 (100.00%) Machine Learning
1 4 (100.00%) Monte Carlo Method
1 4 (100.00%) Natural Language Processing
1 4 (100.00%) Neural Network
1 4 (100.00%) Pattern Recognition
1 4 (100.00%) Random Forest
1 4 (100.00%) Reinforcement Learning
1 4 (100.00%) Sensor Fusion
1 4 (100.00%) Simultaneous Localization and Mapping
1 4 (100.00%) Statistical Inference
1 4 (100.00%) Statistical Modelling
1 4 (100.00%) Verification and Validation
Programming Languages
1 4 (100.00%) MATLAB
1 4 (100.00%) Python
Qualifications
1 4 (100.00%) BPSS Clearance
1 4 (100.00%) Degree
1 4 (100.00%) PhD
1 4 (100.00%) Security Cleared
Vendors
1 4 (100.00%) OpenAI