Hybrid/Remote AutoML Job Trends

Automated Machine Learning (AutoML)
UK > Work from Home

The table below provides summary statistics and salary benchmarking for remote or hybrid work requiring AutoML skills. It covers permanent job vacancies from the 6 months leading up to 25 May 2026, with comparisons to the same periods in the previous two years.

6 months to
25 May 2026
Same period 2025 Same period 2024
Rank 395 - -
Rank change year-on-year - - -
Permanent jobs citing AutoML 1 0 0
As % of all permanent jobs with remote/hybrid work options 0.005% - -
As % of the Processes & Methodologies category 0.006% - -
Number of salaries quoted 1 0 0
10th Percentile - - -
25th Percentile £53,750 - -
Median annual salary (50th Percentile) £57,500 - -
75th Percentile £61,250 - -
90th Percentile - - -
UK median annual salary £57,500 - -

All Process & Methodology Skills
Work from Home

AutoML falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies with remote or hybrid options requiring process or methodology skills.

Permanent vacancies with a requirement for process or methodology skills 15,628 13,867 29,674
As % of all permanent jobs with a WFH option 82.84% 94.93% 90.50%
Number of salaries quoted 11,147 8,130 23,403
10th Percentile £35,000 £30,500 £33,750
25th Percentile £45,000 £43,500 £42,500
Median annual salary (50th Percentile) £60,000 £60,000 £57,500
Median % change year-on-year - +4.35% -8.00%
75th Percentile £80,000 £80,000 £75,000
90th Percentile £100,000 £106,250 £95,000
UK median annual salary £60,000 £59,000 £55,000
% change year-on-year +1.69% +7.27% -9.84%

AutoML
Job Vacancy Trend for Remote/Hybrid Jobs

Historical trend showing the proportion of permanent IT job postings citing AutoML and offering remote or hybrid work options relative to all permanent IT jobs advertised.

AutoML job vacancy trend for remote/hybrid jobs

AutoML
Salary Trend for Remote/Hybrid Jobs

Salary distribution trend for jobs with remote/hybrid work options citing AutoML.

Salary distribution trend for jobs with remote/hybrid work options citing AutoML

AutoML
Co-Occurring Skills & Capabilities in Remote/Hybrid Jobs 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:

Cloud Services
1 1 (100.00%) AWS
1 1 (100.00%) Azure
1 1 (100.00%) Cloud Functions
1 1 (100.00%) GCP
1 1 (100.00%) Google Compute Engine
1 1 (100.00%) Google Kubernetes Engine
1 1 (100.00%) Virtual Private Cloud
Development Applications
1 1 (100.00%) Git
1 1 (100.00%) GitLab
1 1 (100.00%) Jenkins
Job Titles
1 1 (100.00%) Cloud Platform Engineer
1 1 (100.00%) GCP Engineer
1 1 (100.00%) Platform Engineer
Miscellaneous
1 1 (100.00%) Cloud Native
1 1 (100.00%) Hybrid Cloud
Processes & Methodologies
1 1 (100.00%) AI
1 1 (100.00%) Architectural Design
1 1 (100.00%) CI/CD
1 1 (100.00%) Clean Code
1 1 (100.00%) Configuration Management
1 1 (100.00%) Containerisation
1 1 (100.00%) Digital Engineering
1 1 (100.00%) Identity Management
1 1 (100.00%) Infrastructure as Code
1 1 (100.00%) Machine Learning
1 1 (100.00%) Observability
1 1 (100.00%) Platform Engineering
1 1 (100.00%) Proactive Monitoring
1 1 (100.00%) SDLC
1 1 (100.00%) Site Reliability Engineering
1 1 (100.00%) Technical Leadership
Programming Languages
1 1 (100.00%) Bash
1 1 (100.00%) Go
1 1 (100.00%) Python
System Software
1 1 (100.00%) Docker
Systems Management
1 1 (100.00%) Grafana
1 1 (100.00%) Istio
1 1 (100.00%) Kubernetes
1 1 (100.00%) linkerd
1 1 (100.00%) Progress Chef
1 1 (100.00%) Prometheus
1 1 (100.00%) Puppet
1 1 (100.00%) Terraform
Vendors
1 1 (100.00%) Google