Lead Data Scientist - AI

Salary: £75,000 - 75,000 per year Requirements: • Expert-level experience building complex LLM-powered systems and multi-agent workflows using frameworks such as LangGraph, LangChain, AutoGen, or ADK. • Deep practical understanding of machine learning algorithms, natural language processing techniques, and optimization of large language models for enterprise deployment. • Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. • Hands-on experience with Google Cloud Platform services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage. • Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning, and containerized workflows using Docker and Kubernetes. • Extensive experience leading technical delivery, defining engineering milestones, running code reviews, and mentoring junior or intermediate engineering talent. • Advanced production-grade Python proficiency, including Pandas, NumPy, and FastAPI/Flask, with a focus on clean, modular, and highly testable code. • Expert SQL skills, including querying, database design, partitioning, and optimization strategies for large-scale BigQuery environments. • A bachelors or masters degree in Computer Science, Software Engineering, Artificial Intelligence, or a highly quantitative field is desirable, or equivalent experience. • Google Cloud certifications in Cloud Engineer, Professional Data Engineer, or Cloud AI Engineer are desirable. Responsibilities: • Design and scale robust, secure, and production-ready multi-agent workflows, orchestrations, and advanced RAG architectures. • Drive delivery by designing and building agentic solutions from piloting through full implementation. • Establish coding standards, code review processes, testing frameworks, and evaluation metrics for generative AI applications. • Partner with GCP and Data Engineering teams to build LLMOps/MLOps CI/CD pipelines and scalable model deployment environments. • Own the building and maintenance of robust LLMOps pipelines. • Implement evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise-grade safety, security, and compliance. • Manage engineering workflows, CI/CD pipelines, version control, and evaluation frameworks for internal AI assets, including prompt libraries and automated testing agents. • Mentor a team of intermediate and junior AI Engineers and foster continuous learning, clean code, and agility. • Translate abstract business use cases into structured, achievable technical sprints with the AI Product Owner and Business Analysts. • Lead the shift from proof-of-concepts to reliable, resilient production applications for global users. • Support the companys evolving AI strategy through use case identification, platform identification, and tool selection. • Advise on scaling AI impact and capability across the company. • Stay up to date on market trends, new opportunities, and the changing landscape of AI technologies. Technologies: • AI • BigQuery • CI/CD • Cloud • Data Warehouse • Docker • ETL • FastAPI • Flask • GCP • Support • Kubernetes • LLM • Machine Learning • MLOps • Product Owner • Python • RAG • SQL • Security • numpy • pandas • Agentic AI • ARM • Architect More: We are partnering with Rentokil Initial to build our Group AI Team and establish an Agentic Factory focused on delivering production-grade AI solutions across our global operations. We are creating a high-velocity team to design, build, and deploy genAI and ML solutions, multi-agent workflows, and automation systems that solve complex business problems. The role offers hybrid working, a competitive salary and bonus scheme, the Rentokil Initial Reward Scheme, 23 days holiday plus 8 bank holidays, an Employee Assistance Programme, death in service benefit, healthcare, and free parking. We are an equal opportunity employer and encourage applications from people from all backgrounds, with an inclusive environment where everyone can be themselves. last updated 34 week of 2026