AI Ops Engineer at Xcede, London, 6 to 12 Months, £Contract Rate
- Outside Spy
- London, UK
- Apr 15, 2026
Contract Description
AI Ops Engineer
Working Arrangement: Remote (Flexible)
Outside IR35
FTC OR Freelance/Contract
My client is a high-growth, product-led SaaS business operating at scale across the UK, supporting high-volume, business-critical workflows. The business is investing in becoming more data-driven and operationally efficient, with AI as a key lever for improving productivity, reducing cost, and enhancing customer experience. This is a fixed-term project role focused on embedding AI into core operations.
The Role
I am looking for a commercially minded AI Operations consultant to identify inefficiencies, design and implement AI-driven solutions, and embed AI as a core operational capability. You will work cross-functionally across Customer Operations, Marketing, Training, Finance and Strategy to automate workflows, reduce manual overhead, improve reporting, increase support efficiency, and leverage internal data platforms to drive intelligent automation, with a focus on delivering measurable improvements in cost, efficiency, and operational performance.
Core Responsibilities
Define and execute an AI operations roadmap, prioritising initiatives based on ROI and business impact
Identify inefficiencies and design AI-driven workflow automation across core systems (eg CRM workflows, support ticket triage, reporting automation)
Build and deploy automation pipelines using tools such as Zapier/Make, LLM APIs, and API/webhook integrations
Leverage internal data platforms to create event-driven workflows, predictive insights, and AI-enabled reporting
Establish governance frameworks, ensure GDPR compliance, and develop internal AI playbooks
Drive adoption and training across teams to embed AI into day-to-day operations
Required Experience
Proven experience delivering AI-driven workflow automation in a SaaS or product-led environment
Strong experience across core SaaS operational systems, ideally covering CRM, support, billing and product analytics (Salesforce, Zendesk, Zuora, Pendo)
Strong API integration capability and experience with automation tooling
Proficiency in Python and SQL
Experience working with LLM APIs and prompt engineering
Great to have
Additional exposure to data platforms such as Databricks or ThoughtSpot
Understanding of RAG pipelines and vector databases
(Hands-on experience across several of the above systems is beneficial)
Commercial & Operational
Experience operating in a SaaS environment with a strong understanding of core metrics (MRR, churn, retention). Demonstrated ability to deliver measurable ROI from automation initiatives, combined with strong cross-functional stakeholder management.
This is an opportunity to shape how AI is Embedded into a scaled SaaS platform - not as experimentation, but as core operational infrastructure.
Working Arrangement: Remote (Flexible)
Outside IR35
FTC OR Freelance/Contract
My client is a high-growth, product-led SaaS business operating at scale across the UK, supporting high-volume, business-critical workflows. The business is investing in becoming more data-driven and operationally efficient, with AI as a key lever for improving productivity, reducing cost, and enhancing customer experience. This is a fixed-term project role focused on embedding AI into core operations.
The Role
I am looking for a commercially minded AI Operations consultant to identify inefficiencies, design and implement AI-driven solutions, and embed AI as a core operational capability. You will work cross-functionally across Customer Operations, Marketing, Training, Finance and Strategy to automate workflows, reduce manual overhead, improve reporting, increase support efficiency, and leverage internal data platforms to drive intelligent automation, with a focus on delivering measurable improvements in cost, efficiency, and operational performance.
Core Responsibilities
Define and execute an AI operations roadmap, prioritising initiatives based on ROI and business impact
Identify inefficiencies and design AI-driven workflow automation across core systems (eg CRM workflows, support ticket triage, reporting automation)
Build and deploy automation pipelines using tools such as Zapier/Make, LLM APIs, and API/webhook integrations
Leverage internal data platforms to create event-driven workflows, predictive insights, and AI-enabled reporting
Establish governance frameworks, ensure GDPR compliance, and develop internal AI playbooks
Drive adoption and training across teams to embed AI into day-to-day operations
Required Experience
Proven experience delivering AI-driven workflow automation in a SaaS or product-led environment
Strong experience across core SaaS operational systems, ideally covering CRM, support, billing and product analytics (Salesforce, Zendesk, Zuora, Pendo)
Strong API integration capability and experience with automation tooling
Proficiency in Python and SQL
Experience working with LLM APIs and prompt engineering
Great to have
Additional exposure to data platforms such as Databricks or ThoughtSpot
Understanding of RAG pipelines and vector databases
(Hands-on experience across several of the above systems is beneficial)
Commercial & Operational
Experience operating in a SaaS environment with a strong understanding of core metrics (MRR, churn, retention). Demonstrated ability to deliver measurable ROI from automation initiatives, combined with strong cross-functional stakeholder management.
This is an opportunity to shape how AI is Embedded into a scaled SaaS platform - not as experimentation, but as core operational infrastructure.
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