London
Full-time
Not specified
Mid-Senior level
Salary
£100,000.00
Sponsorship
15% more than your current base salary
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Job Description

Do you want to build production GenAI products (not prototypes) in a business with real scale and board-level visibility?Have you shipped LLM/RAG systems end-to-end and owned them in production?Are you ready to join a new AI team early and shape how AI is delivered across a global consumer brand?A global fitness and wellness brand is building a new Group AI function to deliver high-impact AI solutions across the organisation. With new leadership in place (including a newly appointed Chief AI Officer), this team has top-down backing and a clear mandate to ship measurable AI outcomes across both customer-facing and internal operational use cases. For example, app-based agents and optimization algorithms for physical spaces (maintenance, costs, customer experience).As an AI Engineer, you’ll build and deploy end-to-end AI solutions across the company, working closely with stakeholders and owning delivery from brief to production.This is a builder role for someone who enjoys taking ambiguous problems, designing a practical AI solution, and deploying it into production. You’ll work across both GenAI and applied ML, building scalable AI services that directly improve customer experience and business performance.Key responsibilitiesDesign, build and deploy end-to-end AI solutionsDevelop LLM solutions (e.g. RAG, workflow orchestration, evaluation)Build APIs/services integrating data sources and AI outputsTranslate stakeholder needs into practical technical delivery plansOwn delivery quality: reliability, performance, observability, iterationCollaborate across engineering, data, operations, and product teamsWhat they’re looking for4-6+ years of industry experienceStrong Python and SQLHands-on GenAI delivery (RAG/LLMs; LangChain-style tooling strongly preferred)Comfortable operating independently with real ownershipSolid stakeholder management and ability to explain clearly to non-technical audiencesDS background that has moved into AI engineering / LLM product delivery is idealBonus: Databricks, Azure, MLOps/CI-CD experienceInterested? Please apply below.

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