AI operations and implementation roles: automations, workflows, rollout and governance.
AI operations and implementation roles put AI tools to work inside a business and keep them running. They build automations and simple internal tools, roll them out to teams, fix what breaks and keep it all safe and governed.
Employers use many titles for this work. These usually describe the same kind of role: AI Operations Lead, AI Operations Manager, AI Implementation Manager, AI Implementation Specialist, AI Automation Specialist, Automation and AI Analyst, AI Analyst (internal), AI Project Manager, AI Automation & Governance Lead, Business Systems Analyst (AI adoption).
See the glossary for every title we track.
In the 2 live listings of this type on this site that show pay (out of 8), advertised salaries run from £50,000 to £80,000 a year. That is a small sample from ads checked on 23 Oct 2026, not a salary survey.
| Role | Location | Advertised pay |
|---|---|---|
| Automation and AI Analyst (12-month contract) | London | £50,000–£60,000 |
| Business Systems Analyst – AI adoption | Hampshire | £70,000–£80,000 |
Somewhat. These are the most hands-on roles we list. Expect low-code and no-code tools, spreadsheets, dashboards and sometimes light scripting. They are not software engineering jobs: the emphasis is on solving business problems and getting colleagues to use what you build.
People arrive from operations, business analysis, finance systems, CRM administration and process improvement. Automate something real in your current job, measure the time it saves, and use that as your portfolio.
Right now there are 8 live roles of this type on this site. By location: London (6), Elsewhere in the UK (2), Manchester (1).
8 AI operations & implementation roles, checked live on 23 Oct 2026.
Senior product role in GSK’s Enterprise AI team: picks the highest-value AI and automation opportunities in marketing enablement, makes the case for them and measures whether they worked.
Helps a social-impact housing developer 'bring intelligence to the business': making data easy to query, automating how teams work and building AI fluency across every team. Reports to the AI Manager.
Turns manual legal processes into automated templates and supports Power Platform and AI tools in a law firm's knowledge team.
Six-month contract delivering AI-enabled service improvements such as chatbots and ServiceNow automation for an insurer's operations.
Maps how LSEG’s operations teams really work, spots where automation and AI can take work away, and turns that into clear use cases for the build teams.
Identifies and implements AI solutions with business and technology teams to improve processes and cut cost.
Drives responsible, compliant AI adoption and automation across a regulated property and land consultancy.
Takes AI use cases at Metro Bank from problem statement to live use: redesigning the process, specifying the agent with the build team, and proving the value.
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