Build Production-Grade Agentic AI - Work with LangGraph, LangChain and LLMOps to take AI solutions from concept into real producti
High Technical Ownership - Shape the architecture, solve complex problems independently, an work closely with Data Scientists and
Work for one of the world's largest international health & beauty retailer, with operation in multiple markets.
The Opportunity We are looking for an experienced Machine Learning Engineering Manager to join the Data & AI function of a leading global organisation. You will lead and help scale a team responsible for building production-grade Machine Learning, Agentic AI and LLM solutions. The AI platform is continuing to expand across multiple business units and international markets, including Europe. This is a hands-on leadership position suited to someone who can provide technical direction, influence architecture and mentor engineers while remaining close to the technology. Key Responsibilities
Lead and mentor a team of Machine Learning and AI Engineers
Drive the productionization of ML models, LLMs and AI agent workflows
Define technical architecture and engineering best practices for the AI platform
Work closely with Data Scientists, LLM Engineers, frontend and platform teams
Guide the development of scalable backend services using Python, FastAPI and Async Python
Oversee integration between frontend applications, AI agents, model services and data platforms
Improve the reliability, monitoring and performance of production AI systems
Monitor areas including agent execution, API latency and LLM costs
Drive strong engineering practices around testing, observability and production support
Help scale the platform across different business units and international markets
What We're Looking For
Strong experience in Machine Learning Engineering, AI Engineering, MLOps or Backend Engineering
Previous experience leading or managing technical engineering teams
Strong hands-on Python engineering background
Experience with FastAPI, Async Python, Pydantic and pytest
Proven experience taking AI/ML solutions into production
Understanding of Agentic AI, Generative AI, LLMs and LLMOps
Exposure to LangGraph, LangChain and Langfuse
Strong SQL skills with experience in technologies such as PostgreSQL and Databricks
Understanding of monitoring and observability technologies such as Grafana
Ability to provide technical direction while giving engineers ownership
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