Principal Data Scientist - AI, MLOps, GenAI Lead

Salary: £80,000 - 80,000 per year

Requirements:

• Expert-level experience building complex LLM-powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK.
• Deep practical understanding of machine learning algorithms, natural language processing techniques, and optimizing 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 with Pandas, NumPy, FastAPI, or Flask, with a focus on clean, modular, and highly testable code.
• Expert SQL querying, database design, partitioning, and optimization strategies for large-scale BigQuery environments.
• Google Cloud Certified Cloud Engineer.
• Google Cloud Certified Professional Data Engineer or Cloud AI Engineer.
• A Bachelors or Masters degree in Computer Science, Software Engineering, Artificial Intelligence, or a highly quantitative field is desirable, though proven experience in shipping production-grade commercial AI systems may substitute.
• IT HNC/HND courses are also accepted.

Responsibilities:

• Design and scale robust, secure, production-ready multi-agent workflows, orchestrations, and advanced RAG architectures in collaboration with Enterprise Architecture principles.
• Drive delivery by designing and building agentic solutions from piloting through full implementation.
• Establish strict coding standards, code review processes, testing frameworks, and evaluation metrics for generative AI applications.
• Support and enforce the standards set by the Head of Engineering and Technical Architect.
• Partner closely with our GCP and Data Engineering teams to build seamless LLMOps/MLOps CI/CD pipelines.
• Ensure scalable and cost-effective model deployment via Vertex AI and containerized environments.
• Take ownership of building and maintaining robust LLMOps pipelines.
• Implement robust 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 developer-facing AI assets, including prompt libraries and automated testing agents.
• Act as a technical mentor to a team of intermediate and junior AI Engineers, fostering a culture of continuous learning, clean code, and agility.
• Collaborate with the AI Product Owner and Business Analysts to translate abstract business use cases into structured, achievable technical sprints.
• Shift the teams focus from sandboxed proof-of-concepts to reliable, resilient applications deployed to production for global users.
• Support the companys evolving AI strategy by providing an expert voice on use case identification, platform identification, and tool selection.
• Advise the AI portfolio lead in scaling impact and AI capability across the company beyond the Group AI Team.
• Stay up to date on market trends, new opportunities, and the changing landscape of AI technologies.

Technologies:

• AI
• Architect
• 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

More:

We are partnering with Rentokil Initial to hire for this role within our Group AI Team as we scale our internal capabilities to deliver cutting-edge, production-grade AI solutions across our global operations. We are establishing an Agentic Factory, a dedicated, high-velocity delivery team focused on designing, building, and deploying genAI and ML solutions, multi-agent workflows, and automation systems to solve complex business problems. You will work closely with our AI Delivery Manager, AI Product Owner, AI & Data Architect, and Head of Engineering to bridge business requirements and technical execution, provide architectural oversight, define engineering best practices, and help mentor a talented AI team. We offer a competitive salary and bonus scheme, hybrid working, a 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 of all backgrounds; we also support individual requirements during the recruitment process. We value authenticity in applications and want to see the real you.

last updated 35 week of 2026