

Harnham
CRO/Optimization Engineer (AI-focused)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a CRO/Optimization Engineer (AI-focused) with a 6-month contract, £350-450 day rate, based in London. Key skills include AI product experimentation, LaunchDarkly, and analytics implementation. Experience in telecoms or e-commerce is preferred.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
450
-
🗓️ - Date
July 15, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Outside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
City Of London, England, United Kingdom
-
🧠 - Skills detailed
#Adobe Target #Debugging #AI (Artificial Intelligence) #Azure #Metadata #Microsoft Azure #API (Application Programming Interface) #Data Layers
Role description
CRO / AI Experimentation Engineer Contract
6-month minimum contract, Outside IR35, £350-450 Day Rate, August Start Date, London.
This is an opportunity to shape how AI-powered products are measured, tested and optimised in a live commercial environment. You will take ownership of experimentation delivery across AI-native customer experiences, ensuring every product change is assessed against meaningful business outcomes such as conversion, containment and customer satisfaction.
The Company
They are a data and technology-led organisation delivering AI-powered digital products alongside an established web estate. Their teams are investing heavily in conversational AI, recommendation engines and LLM-driven customer experiences. As they expand their experimentation capability, they are looking for a hands-on specialist who can bridge traditional optimisation practices with AI-native product development.
The Role and Deliverables
• Build, instrument and deliver experiments across live digital and AI-powered products
• Extend and manage feature flagging capabilities across the product estate using LaunchDarkly or a comparable platform
• Configure, validate and troubleshoot experiment tracking, analytics instrumentation and event collection
• Define and review event schemas, data layer specifications and tracking requirements, including experiment exposure and AI-related metadata
• Work closely with analytics and senior stakeholders to evaluate the commercial impact of product and AI changes
• Support experimentation across conversational agents, AI advisors and LLM-powered decisioning experiences
Your Skills & Experience
• Strong hands-on experience delivering experiments in production environments, including implementation, debugging and live releases
• Practical experience with LaunchDarkly or a comparable feature flag management platform
• Working knowledge of experimentation platforms such as Adobe Target, Optimizely, or similar tools
• Experience working with AI or LLM-powered products, conversational interfaces or intelligent customer journeys
• Strong understanding of analytics implementation, event tracking, data layers and experimentation measurement
• Ability to operate independently in a remote, cross-functional environment
• Exposure to Microsoft Azure, Azure AI services, prompt engineering, API integrations or agent orchestration is beneficial
• Familiarity with AI architectures such as RAG, tool usage or multi-agent workflows is advantageous
• Experience within telecoms, e-commerce or subscription-based digital products is a plus
• A commercially focused mindset, with the ability to assess success through customer and business outcomes rather than technical delivery alone
How to Apply
If you have a track record of delivering experimentation programmes and optimising AI-powered customer experiences in production environments, please apply with your latest CV.
CRO / AI Experimentation Engineer Contract
6-month minimum contract, Outside IR35, £350-450 Day Rate, August Start Date, London.
This is an opportunity to shape how AI-powered products are measured, tested and optimised in a live commercial environment. You will take ownership of experimentation delivery across AI-native customer experiences, ensuring every product change is assessed against meaningful business outcomes such as conversion, containment and customer satisfaction.
The Company
They are a data and technology-led organisation delivering AI-powered digital products alongside an established web estate. Their teams are investing heavily in conversational AI, recommendation engines and LLM-driven customer experiences. As they expand their experimentation capability, they are looking for a hands-on specialist who can bridge traditional optimisation practices with AI-native product development.
The Role and Deliverables
• Build, instrument and deliver experiments across live digital and AI-powered products
• Extend and manage feature flagging capabilities across the product estate using LaunchDarkly or a comparable platform
• Configure, validate and troubleshoot experiment tracking, analytics instrumentation and event collection
• Define and review event schemas, data layer specifications and tracking requirements, including experiment exposure and AI-related metadata
• Work closely with analytics and senior stakeholders to evaluate the commercial impact of product and AI changes
• Support experimentation across conversational agents, AI advisors and LLM-powered decisioning experiences
Your Skills & Experience
• Strong hands-on experience delivering experiments in production environments, including implementation, debugging and live releases
• Practical experience with LaunchDarkly or a comparable feature flag management platform
• Working knowledge of experimentation platforms such as Adobe Target, Optimizely, or similar tools
• Experience working with AI or LLM-powered products, conversational interfaces or intelligent customer journeys
• Strong understanding of analytics implementation, event tracking, data layers and experimentation measurement
• Ability to operate independently in a remote, cross-functional environment
• Exposure to Microsoft Azure, Azure AI services, prompt engineering, API integrations or agent orchestration is beneficial
• Familiarity with AI architectures such as RAG, tool usage or multi-agent workflows is advantageous
• Experience within telecoms, e-commerce or subscription-based digital products is a plus
• A commercially focused mindset, with the ability to assess success through customer and business outcomes rather than technical delivery alone
How to Apply
If you have a track record of delivering experimentation programmes and optimising AI-powered customer experiences in production environments, please apply with your latest CV.






