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\n As part of our Group AI Team, we are scaling our internal capabilities to deliver cutting‑edge, production‑grade AI solutions across our global operations. \n We are establishing an "Agentic Factory" - a dedicated, high‑velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi‑agent workflows, and automation systems to solve complex business problems. The primary goals of the team include:\n \n • Leading the technical design and architecture of AI solutions, in addition to building and running an AI platform to deliver business‑specific Use Case solutions.\n, • Collaborating with the Data Platform to team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI.\n, • Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across all functions and regions.\n, • Building AI models and a data science platform that enables Rentokil to derive significant value from AI, from machine learning to gen AI and beyond, and ensuring the quality and reliability of AI solutions deployed on the platform.\n, • Support, govern and enable company‑wide adoption of emerging AI technologies.\n Purpose of the role\n We are seeking a pragmatic, highly technical individual to lead the engineering efforts within our Agentic Factory. \n Sitting directly alongside our AI Delivery Manager and AI Product Owner, you will bridge the gap between business requirements and technical execution. Together with the AI & Data Architect, you will provide architectural oversight, defining engineering best practices, and mentoring a talented team of AI engineers & Data Scientists, while remaining hands‑on enough to solve complex engineering bottlenecks; You will support Use Case Design and feasibility assessments, ensuring opportunities explored are achievable and scalable. \n You will support the Head of Engineering as the execution arm for AI responsibilities, extending your focus beyond the AI team to support and enable other IT teams across the organisation. Responsibilities Technical Leadership & Engineering\n \n • Design Agentic Systems: Design and scale robust, secure, and production‑ready multi‑agent workflows, orchestrations, and advanced RAG architectures, in collaboration with Enterprise Architecture principles. Drive delivery by designing and building agentic solutions, spanning from piloting to full implementation\n, • Define Engineering Excellence: Establish strict coding standards, code review processes, testing frameworks, and evaluation metrics for generative AI applications. Support and strictly enforce the standards set by the Head of Engineering and Technical Architect\n, • Cloud & Platform Integration: Partner closely with our GCP and Data Engineering teams to build seamless LLMOps/MLOps CI/CD pipelines, ensuring scalable and cost‑effective model deployment via Vertex AI and containerised environments. Take ownership of building and maintaining robust LLMOps pipelines.\n, • AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise‑grade safety, security, and compliance.\n, • AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise‑grade safety, security, and compliance.\n, • Internal AI Enablement & Prompt Lifecycle: Manage the engineering workflows, CI/CD pipelines, version control, and evaluation frameworks for internal developer‑facing AI assets, including prompt libraries and automated testing agents.\n Team Mentorship & Delivery\n \n, • Grow the team: Act as a technical mentor to a team of intermediate and junior AI Engineers, fostering a culture of continuous learning, clean code, and agility.\n, • Pragmatic Delivery: Collaborate with the AI Product Owner and Business Analysts to translate abstract business use cases into structured, achievable technical sprints.\n, • Drive MVP to Production: Shift the team’s focus from sandboxed proof‑of‑concepts (PoCs) to reliable, resilient applications deployed to production for global users, leading AI engineering for AI team solutions and actively supporting junior engineers through this transition.\n Evolve AI Maturity\n \n, • Support the company’s evolving AI strategy, providing an expert voice on Use Case identification, platform identification and tool selection.\n, • Advise the AI portfolio Lead in scaling impact and AI capability across the company, beyond the Group AI Team.\n, • Stay up to date on market trends, new opportunities, and the changing landscape of AI technologies.\n Experience\n AI Orchestration & Development: Expert-level experience building complex LLM‑powered systems and multi‑agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. \n Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. \n Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands‑on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). \n MLOps/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning, and containerised workflows using Docker and Kubernetes (GKE/Vertex AI Pipelines). \n Team Leadership & Mentorship: Extensive experience leading technical delivery, defining engineering milestones, running code reviews, and successfully mentoring junior or intermediate engineering talent. Knowledge & Skills\n Autonomy: Works with high autonomy under broad strategic guidance. Accountable for defining and meeting technical, architectural, and delivery goals, establishing milestones, and assigning tasks. \n Influence: Exerts major technical influence across the organization, partners, and peers. Partners with cross‑functional business and product leaders, making key architectural decisions that affect budgets, timelines, and scalability. \n Complexity: Manages diverse, highly complex, and unpredictable technical challenges. Uses fundamental engineering principles to connect cutting‑edge AI research with practical enterprise software. \n Business Skills: Advises executives on AI trends, risks, and tools. Bridges the gap between technical developers and business teams, showcasing strong leadership, creativity, and ethical problem‑solving. Technical Expertise & Tools\n \n • Python: Advanced, production‑grade proficiency (Pandas, NumPy, FastAPI/Flask) with an absolute focus on writing clean, modular, and highly testable code.\n, • SQL: Expert querying, database design, partitioning, and optimization strategies for large‑scale BigQuery environments.\n Relevant Qualifications\n Desirable: \n \n • Google Cloud Certified Cloud Engineer\n, • Google Cloud Certified Professional Data Engineer / Cloud AI Engineer\n \n Degree Qualification or Equivalent: A Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a highly quantitative field is desirable; however, a proven track record of architecting and shipping production‑grade commercial AI systems is highly valued and may substitute for specific academic credentials. IT HNC/HND courses will also be accepted. \n \n • Competitive salary and bonus scheme\n, • Hybrid working\n, • Rentokil Initial Reward Scheme\n, • 23 days holiday, plus 8 bank holidays\n, • Employee Assistance Programme\n, • Death in service benefit\n, • Healthcare\n, • Free parking\n \n At Rentokil Initial, our customers and colleagues represent diverse backgrounds and experiences. We take pride in being an equal opportunity employer, actively encouraging applications from individuals from all walks of life. Our belief is that everyone irrespective of age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs, has the potential to thrive and contribute. \n We embrace the differences that make each of our colleagues unique, fostering an inclusive environment where everyone can be their authentic selves and feel a sense of belonging. To ensure that your journey with us is accessible if you have any individual requirements we invite you to communicate any specific needs or preferences you may have during any stage of the recruitment process. Our team is available to support you; feel free to reach out to joanna.sharpe@rentokil-initial.com if you need anything \n #J-18808-Ljbffr

As part of our Group AI Team, we are scaling 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 & ML solutions, multi-agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: • Leading the technical design and architecture of AI solutions, in addition to building and running an AI platform to deliver business-specific Use Case solutions, • Collaborating with the Data Platform to team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI, • Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across all functions and regions, • Building AI models and a data science platform that enables Rentokil to derive significant value from AI, from machine learning to gen AI and beyond, and ensuring the quality and reliability of AI solutions deployed on the platform, • Support, govern and enable company-wide adoption of emerging AI technologies We are seeking a pragmatic, highly technical individual to lead the engineering efforts within our Agentic Factory. Sitting directly alongside our AI Delivery Manager and AI Product Owner, you will bridge the gap between business requirements and technical execution. Together with the AI & Data Architect, you will provide architectural oversight, defining engineering best practices, and mentoring a talented team of AI engineers & Data Scientists, while remaining hands‑on enough to solve complex engineering bottlenecks; you will support Use Case Design and feasibility assessments, ensuring opportunities explored are achievable and scalable. You will support the Head of Engineering as the execution arm for AI responsibilities, extending your focus beyond the AI team to support and enable other IT teams across the organisation. • Design Agentic Systems: Design and scale robust, secure, and production‑ready multi‑agent workflows, orchestrations, and advanced RAG architectures, in collaboration with Enterprise Architecture principles. Drive delivery by designing and building agentic solutions, spanning from piloting to full implementation, • Define Engineering Excellence: Establish strict coding standards, code review processes, testing frameworks, and evaluation metrics for generative AI applications. Support and strictly enforce the standards set by the Head of Engineering and Technical Architect, • Cloud & Platform Integration: Partner closely with our GCP and Data Engineering teams to build seamless LLMOps/MLOps CI/CD pipelines, ensuring scalable and cost‑effective model deployment via Vertex AI and containerized environments. Take ownership of building and maintaining robust LLMOps pipelines, • AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise‑grade safety, security, and compliance, • AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise‑grade safety, security, and compliance, • Internal AI Enablement & Prompt Lifecycle: Manage the engineering workflows, CI/CD pipelines, version control, and evaluation frameworks for internal developer‑facing AI assets, including prompt libraries and automated testing agents, • Grow the team: Act as a technical mentor to a team of intermediate and junior AI Engineers, fostering a culture of continuous learning, clean code, and agility, • Pragmatic Delivery: Collaborate with the AI Product Owner and Business Analysts to translate abstract business use cases into structured, achievable technical sprints, • Drive MVP to Production: Shift the team's focus from sandboxed proof‑of‑concepts (PoCs) to reliable, resilient applications deployed to production for global users, leading AI engineering for AI team solutions and actively supporting junior engineers through this transition, • Support the company's evolving AI strategy, 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 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 (NLP) techniques, and the 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 (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning, and containerized workflows using Docker and Kubernetes (GKE/Vertex AI Pipelines). Extensive experience leading technical delivery, defining engineering milestones, running code reviews, and successfully mentoring junior or intermediate engineering talent. Works with high autonomy under broad strategic guidance. Accountable for defining and meeting technical, architectural, and delivery goals, establishing milestones, and assigning tasks. Exerts major technical influence across the organization, partners, and peers. Partners with cross‑functional business and product leaders, making key architectural decisions that affect budgets, timelines, and scalability. Manages diverse, highly complex, and unpredictable technical challenges. Uses fundamental engineering principles to connect cutting‑edge AI research with practical enterprise software. Advises executives on AI trends, risks, and tools. Bridges the gap between technical developers and business teams, showcasing strong leadership, creativity, and ethical problem‑solving. • Python: Advanced, production‑grade proficiency (Pandas, NumPy, FastAPI/Flask) with an absolute focus on writing clean, modular, and highly testable code, • SQL: Expert querying, database design, partitioning, and optimization strategies for large‑scale BigQuery environments, • Google Cloud Certified Cloud Engineer, • Google Cloud Certified Professional Data Engineer / Cloud AI Engineer A Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a highly quantitative field is desirable; however, a proven track record of architecting and shipping production‑grade commercial AI systems is highly valued and may substitute for specific academic credentials. IT HNC/HND courses will also be accepted. • Competitive salary and bonus scheme, • Hybrid working, • Rentokil Initial Reward Scheme, • 23 days holiday, plus 8 bank holidays, • Employee Assistance Programme, • Death in service benefit, • Healthcare, • Free parking At Rentokil Initial, our customers and colleagues represent diverse backgrounds and experiences. We take pride in being an equal opportunity employer, actively encouraging applications from individuals from all walks of life. Our belief is that everyone irrespective of age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs, has the potential to thrive and contribute. We embrace the differences that make each of our colleagues unique, fostering an inclusive environment where everyone can be their authentic selves and feel a sense of belonging. To ensure that your journey with us is accessible if you have any individual requirements we invite you to communicate any specific needs or preferences you may have during any stage of the recruitment process. Our team is available to support you; feel free to reach out to (joanna.sharpe@rentokil-initial.com) if you need anything Be Yourself in Your Application! At Rentokil Initial, we value innovation, but we want to see the real you! While AI can help with structure and grammar, make sure your application shows your true passion and understanding of the role. A personal touch will help you stand out. #J-18808-Ljbffr

As part of our Group AI Team, we are scaling 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 & ML solutions, multi‑agent workflows, and automation systems to solve complex business problems. • Leading the technical design and architecture of AI solutions, in addition to building and running an AI platform to deliver business‑specific Use Case solutions., • Collaborating with the Data Platform to team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI., • Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across all functions and regions., • Building AI models and a data science platform that enables Rentokil to derive significant value from AI, from machine learning to gen AI and beyond, and ensuring the quality and reliability of AI solutions deployed on the platform., • Support, govern and enable company‑wide adoption of emerging AI technologies. We are seeking a pragmatic, highly technical individual to lead the engineering efforts within our Agentic Factory. Sitting directly alongside our AI Delivery Manager and AI Product Owner, you will bridge the gap between business requirements and technical execution. Together with the AI & Data Architect, you will provide architectural oversight, defining engineering best practices, and mentoring a talented team of AI engineers & Data Scientists, while remaining hands‑on enough to solve complex engineering bottlenecks; You will support Use Case Design and feasibility assessments, ensuring opportunities explored are achievable and scalable. You will support the Head of Engineering as the execution arm for AI responsibilities, extending your focus beyond the AI team to support and enable other IT teams across the organisation. • Design Agentic Systems: Design and scale robust, secure, and production‑ready multi‑agent workflows, orchestrations, and advanced RAG architectures, in collaboration with Enterprise Architecture principles. Drive delivery by designing and building agentic solutions, spanning from piloting to full implementation, • Define Engineering Excellence: Establish strict coding standards, code review processes, testing frameworks, and evaluation metrics for generative AI applications. Support and strictly enforce the standards set by the Head of Engineering and Technical Architect, • Cloud & Platform Integration: Partner closely with our GCP and Data Engineering teams to build seamless LLMOps/MLOps CI/CD pipelines, ensuring scalable and cost‑effective model deployment via Vertex AI and containerised environments. Take ownership of building and maintaining robust LLMOps pipelines., • AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise‑grade safety, security, and compliance., • AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise‑grade safety, security, and compliance., • Internal AI Enablement & Prompt Lifecycle: Manage the engineering workflows, CI/CD pipelines, version control, and evaluation frameworks for internal developer‑facing AI assets, including prompt libraries and automated testing agents., • Grow the team: Act as a technical mentor to a team of intermediate and junior AI Engineers, fostering a culture of continuous learning, clean code, and agility., • Pragmatic Delivery: Collaborate with the AI Product Owner and Business Analysts to translate abstract business use cases into structured, achievable technical sprints., • Drive MVP to Production: Shift the team’s focus from sandboxed proof‑of‑concepts (PoCs) to reliable, resilient applications deployed to production for global users, leading AI engineering for AI team solutions and actively supporting junior engineers through this transition., • Support the company’s evolving AI strategy, 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. AI Orchestration & Development: Expert-level experience building complex LLM‑powered systems and multi‑agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands‑on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning, and containerised workflows using Docker and Kubernetes (GKE/Vertex AI Pipelines). Team Leadership & Mentorship: Extensive experience leading technical delivery, defining engineering milestones, running code reviews, and successfully mentoring junior or intermediate engineering talent. Autonomy: Works with high autonomy under broad strategic guidance. Accountable for defining and meeting technical, architectural, and delivery goals, establishing milestones, and assigning tasks. Influence: Exerts major technical influence across the organization, partners, and peers. Partners with cross‑functional business and product leaders, making key architectural decisions that affect budgets, timelines, and scalability. Complexity: Manages diverse, highly complex, and unpredictable technical challenges. Uses fundamental engineering principles to connect cutting‑edge AI research with practical enterprise software. Business Skills: Advises executives on AI trends, risks, and tools. Bridges the gap between technical developers and business teams, showcasing strong leadership, creativity, and ethical problem‑solving. • Python: Advanced, production‑grade proficiency (Pandas, NumPy, FastAPI/Flask) with an absolute focus on writing clean, modular, and highly testable code., • SQL: Expert querying, database design, partitioning, and optimization strategies for large‑scale BigQuery environments. Desirable: • Google Cloud Certified Cloud Engineer, • Google Cloud Certified Professional Data Engineer / Cloud AI Engineer Degree Qualification or Equivalent: A Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a highly quantitative field is desirable; however, a proven track record of architecting and shipping production‑grade commercial AI systems is highly valued and may substitute for specific academic credentials. IT HNC/HND courses will also be accepted. • Competitive salary and bonus scheme, • Hybrid working, • Rentokil Initial Reward Scheme, • 23 days holiday, plus 8 bank holidays, • Employee Assistance Programme, • Death in service benefit, • Healthcare, • Free parking At Rentokil Initial, our customers and colleagues represent diverse backgrounds and experiences. We take pride in being an equal opportunity employer, actively encouraging applications from individuals from all walks of life. Our belief is that everyone irrespective of age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs, has the potential to thrive and contribute. We embrace the differences that make each of our colleagues unique, fostering an inclusive environment where everyone can be their authentic selves and feel a sense of belonging. To ensure that your journey with us is accessible if you have any individual requirements we invite you to communicate any specific needs or preferences you may have during any stage of the recruitment process. Our team is available to support you; feel free to reach out to joanna.sharpe@rentokil-initial.com if you need anything #J-18808-Ljbffr

As part of our Group AI Team, we are scaling 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 & ML solutions, multi‑agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: • Leading the technical design and architecture of AI solutions, in addition to building and running an AI platform to deliver business‑specific Use Case solutions., • Collaborating with the Data Platform to team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI., • Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across all functions and regions., • Building AI models and a data science platform that enables Rentokil to derive significant value from AI, from machine learning to gen AI and beyond, and ensuring the quality and reliability of AI solutions deployed on the platform., • Support, govern and enable company‑wide adoption of emerging AI technologies. We are seeking a pragmatic, highly technical individual to lead the engineering efforts within our Agentic Factory. Sitting directly alongside our AI Delivery Manager and AI Product Owner, you will bridge the gap between business requirements and technical execution. Together with the AI & Data Architect, you will provide architectural oversight, defining engineering best practices, and mentoring a talented team of AI engineers & Data Scientists, while remaining hands‑on enough to solve complex engineering bottlenecks; You will support Use Case Design and feasibility assessments, ensuring opportunities explored are achievable and scalable. You will support the Head of Engineering as the execution arm for AI responsibilities, extending your focus beyond the AI team to support and enable other IT teams across the organisation. • Design Agentic Systems: Design and scale robust, secure, and production‑ready multi‑agent workflows, orchestrations, and advanced RAG architectures, in collaboration with Enterprise Architecture principles. Drive delivery by designing and building agentic solutions, spanning from piloting to full implementation, • Define Engineering Excellence: Establish strict coding standards, code review processes, testing frameworks, and evaluation metrics for generative AI applications. Support and strictly enforce the standards set by the Head of Engineering and Technical Architect, • Cloud & Platform Integration: Partner closely with our GCP and Data Engineering teams to build seamless LLMOps/MLOps CI/CD pipelines, ensuring scalable and cost‑effective model deployment via Vertex AI and containerised environments. Take ownership of building and maintaining robust LLMOps pipelines., • AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise‑grade safety, security, and compliance., • AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise‑grade safety, security, and compliance., • Internal AI Enablement & Prompt Lifecycle: Manage the engineering workflows, CI/CD pipelines, version control, and evaluation frameworks for internal developer‑facing AI assets, including prompt libraries and automated testing agents., • Grow the team: Act as a technical mentor to a team of intermediate and junior AI Engineers, fostering a culture of continuous learning, clean code, and agility., • Pragmatic Delivery: Collaborate with the AI Product Owner and Business Analysts to translate abstract business use cases into structured, achievable technical sprints., • Drive MVP to Production: Shift the team’s focus from sandboxed proof‑of‑concepts (PoCs) to reliable, resilient applications deployed to production for global users, leading AI engineering for AI team solutions and actively supporting junior engineers through this transition., • Support the company’s evolving AI strategy, 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. 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 (NLP) techniques, and the optimisation of large language models for enterprise deployment. Strong proficiency in designing optimised ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands‑on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning, and containerised workflows using Docker and Kubernetes (GKE/Vertex AI Pipelines). Extensive experience leading technical delivery, defining engineering milestones, running code reviews, and successfully mentoring junior or intermediate engineering talent. Works with high autonomy under broad strategic guidance. Accountable for defining and meeting technical, architectural, and delivery goals, establishing milestones, and assigning tasks. Exerts major technical influence across the organisation, partners, and peers. Partners with cross‑functional business and product leaders, making key architectural decisions that affect budgets, timelines, and scalability. Manages diverse, highly complex, and unpredictable technical challenges. Uses fundamental engineering principles to connect cutting‑edge AI research with practical enterprise software. Advices executives on AI trends, risks, and tools. Bridges the gap between technical developers and business teams, showcasing strong leadership, creativity, and ethical problem‑solving. • Python: Advanced, production‑grade proficiency (Pandas, NumPy, FastAPI/Flask) with an absolute focus on writing clean, modular, and highly testable code., • SQL: Expert querying, database design, partitioning, and optimisation strategies for large‑scale BigQuery environments. Desirable: • Google Cloud Certified Cloud Engineer, • Google Cloud Certified Professional Data Engineer / Cloud AI Engineer Degree Qualification or Equivalent: A Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a highly quantitative field is desirable; however, a proven track record of architecting and shipping production‑grade commercial AI systems is highly valued and may substitute for specific academic credentials. IT HNC/HND courses will also be accepted. • Competitive salary and bonus scheme, • Hybrid working, • Rentokil Initial Reward Scheme, • 23 days holiday, plus 8 bank holidays, • Employee Assistance Programme, • Death in service benefit, • Healthcare, • Free parking At Rentokil Initial, our customers and colleagues represent diverse backgrounds and experiences. We take pride in being an equal opportunity employer, actively encouraging applications from individuals from all walks of life. Our belief is that everyone irrespective of age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs, has the potential to thrive and contribute. We embrace the differences that make each of our colleagues unique, fostering an inclusive environment where everyone can be their authentic selves and feel a sense of belonging. To ensure that your journey with us is accessible if you have any individual requirements we invite you to communicate any specific needs or preferences you may have during any stage of the recruitment process. Our team is available to support you; feel free to reach out to joanna.sharpe@rentokil-initial.com if you need anything Be Yourself in Your Application! At Rentokil Initial, we value innovation, but we want to see the real you! While AI can help with structure and grammar, make sure your application shows your true passion and understanding of the role. A personal touch will help you stand out. #J-18808-Ljbffr

As part of our Group AI Team, we are scaling 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 & ML solutions, multi‑agent workflows, and automation systems to solve complex business problems. • Leading the technical design and architecture of AI solutions, in addition to building and running an AI platform to deliver business‑specific Use Case solutions., • Collaborating with the Data Platform to team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI., • Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across all functions and regions., • Building AI models and a data science platform that enables Rentokil to derive significant value from AI, from machine learning to gen AI and beyond, and ensuring the quality and reliability of AI solutions deployed on the platform., • Support, govern and enable company‑wide adoption of emerging AI technologies. We are seeking a pragmatic, highly technical individual to lead the engineering efforts within our Agentic Factory. Sitting directly alongside our AI Delivery Manager and AI Product Owner, you will bridge the gap between business requirements and technical execution. Together with the AI & Data Architect, you will provide architectural oversight, defining engineering best practices, and mentoring a talented team of AI engineers & Data Scientists, while remaining hands‑on enough to solve complex engineering bottlenecks; You will support Use Case Design and feasibility assessments, ensuring opportunities explored are achievable and scalable. You will support the Head of Engineering as the execution arm for AI responsibilities, extending your focus beyond the AI team to support and enable other IT teams across the organisation. • Design Agentic Systems: Design and scale robust, secure, and production‑ready multi‑agent workflows, orchestrations, and advanced RAG architectures, in collaboration with Enterprise Architecture principles. Drive delivery by designing and building agentic solutions, spanning from piloting to full implementation, • Define Engineering Excellence: Establish strict coding standards, code review processes, testing frameworks, and evaluation metrics for generative AI applications. Support and strictly enforce the standards set by the Head of Engineering and Technical Architect, • Cloud & Platform Integration: Partner closely with our GCP and Data Engineering teams to build seamless LLMOps/MLOps CI/CD pipelines, ensuring scalable and cost‑effective model deployment via Vertex AI and containerised environments. Take ownership of building and maintaining robust LLMOps pipelines., • AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise‑grade safety, security, and compliance., • AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise‑grade safety, security, and compliance., • Internal AI Enablement & Prompt Lifecycle: Manage the engineering workflows, CI/CD pipelines, version control, and evaluation frameworks for internal developer‑facing AI assets, including prompt libraries and automated testing agents., • Grow the team: Act as a technical mentor to a team of intermediate and junior AI Engineers, fostering a culture of continuous learning, clean code, and agility., • Pragmatic Delivery: Collaborate with the AI Product Owner and Business Analysts to translate abstract business use cases into structured, achievable technical sprints., • Drive MVP to Production: Shift the team’s focus from sandboxed proof‑of‑concepts (PoCs) to reliable, resilient applications deployed to production for global users, leading AI engineering for AI team solutions and actively supporting junior engineers through this transition., • Support the company’s evolving AI strategy, 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. AI Orchestration & Development: Expert-level experience building complex LLM‑powered systems and multi‑agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands‑on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning, and containerised workflows using Docker and Kubernetes (GKE/Vertex AI Pipelines). Team Leadership & Mentorship: Extensive experience leading technical delivery, defining engineering milestones, running code reviews, and successfully mentoring junior or intermediate engineering talent. Autonomy: Works with high autonomy under broad strategic guidance. Accountable for defining and meeting technical, architectural, and delivery goals, establishing milestones, and assigning tasks. Influence: Exerts major technical influence across the organization, partners, and peers. Partners with cross‑functional business and product leaders, making key architectural decisions that affect budgets, timelines, and scalability. Complexity: Manages diverse, highly complex, and unpredictable technical challenges. Uses fundamental engineering principles to connect cutting‑edge AI research with practical enterprise software. Business Skills: Advises executives on AI trends, risks, and tools. Bridges the gap between technical developers and business teams, showcasing strong leadership, creativity, and ethical problem‑solving. • Python: Advanced, production‑grade proficiency (Pandas, NumPy, FastAPI/Flask) with an absolute focus on writing clean, modular, and highly testable code., • SQL: Expert querying, database design, partitioning, and optimization strategies for large‑scale BigQuery environments. Desirable: • Google Cloud Certified Cloud Engineer, • Google Cloud Certified Professional Data Engineer / Cloud AI Engineer Degree Qualification or Equivalent: A Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a highly quantitative field is desirable; however, a proven track record of architecting and shipping production‑grade commercial AI systems is highly valued and may substitute for specific academic credentials. IT HNC/HND courses will also be accepted. • Competitive salary and bonus scheme, • Hybrid working, • Rentokil Initial Reward Scheme, • 23 days holiday, plus 8 bank holidays, • Employee Assistance Programme, • Death in service benefit, • Healthcare, • Free parking At Rentokil Initial, our customers and colleagues represent diverse backgrounds and experiences. We take pride in being an equal opportunity employer, actively encouraging applications from individuals from all walks of life. Our belief is that everyone irrespective of age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs, has the potential to thrive and contribute. We embrace the differences that make each of our colleagues unique, fostering an inclusive environment where everyone can be their authentic selves and feel a sense of belonging. To ensure that your journey with us is accessible if you have any individual requirements we invite you to communicate any specific needs or preferences you may have during any stage of the recruitment process. Our team is available to support you; feel free to reach out to joanna.sharpe@rentokil-initial.com if you need anything #J-18808-Ljbffr

Kids Planet is an independent, family run group of nurseries providing the highest standard of nursery care across the UK. What if your next job meant more than just work, what if it meant shaping futures, every day? Kids Planet is a proud family-run business, we do things with heart and we're passionate about giving every child the best possible start. No two settings are the same, but all of them are built around our shared values: care, curiosity, and a genuine love for early years. Join Kids Planet Somers house as a Room Leader! We're now looking for a Quality lead to join our team, someone who's ready to get stuck in, spark imaginations, and help children thrive. Why Kids Planet Somers house? • Somers House is a few minutes away from Reigate town centre • Our setting has a separate soft play and sand pit room • We also have nursery pets! • Great Place to Work Certified 2025/26 • Ranked #1 UK Best Workplaces for Women 2025 • Crowned NMT's Large Nursery Group of the Year, for the second year running • 80% Childcare Discount - T&Cs apply What we offer our Quality Lead: • Free breakfast, lunch, and healthy snacks to fuel your day! • Accredited training through our awesome KP Academy and bespoke training platform. • Enhanced leave for maternity, paternity, fertility, and adoption because family matters. • Wellbeing goodies, staff rewards, and fun events all year round. • Long service awards to celebrate your commitment. • Take the day off on your birthday, it's all about you! • Competitive salary, pension plan and enhanced holiday allowance. • Friendly central support team always on hand to help. How you'll make a difference as a Quality Lead: • By leading and managing a room within the nursery, ensuring high-quality care and education in line with the EYFS. • Through supporting and guiding the team, fostering a positive, collaborative environment and promoting professional development. • Through building strong relationships with children and families, ensuring each child's individual needs are met and their learning is supported. What a Quality Lead needs: • Must be at least Level 3 qualified in a UK recognised early years qualification. • Excellent understanding of EYFS. • Extensive knowledge of safeguarding children. • Leadership experience desirable. Sound like the place for you? Apply today to join Kids Planet Somers house. We are unable to offer any kind of visa sponsorship for this role. We embrace everyone. Our goal is to create a truly inclusive culture and diverse workforce. We break down barriers so you can be your authentic self and flourish! Kids Planet is dedicated to safeguarding and promoting the well-being of children and young people. An enhanced DBS check will be required for this role. We expect all staff and volunteers to uphold this commitment, and safeguarding training is a fundamental part of every role. All colleagues are required to complete regular training to ensure they understand and fulfil their responsibilities. A Disclosure and Barring Service Certificate is mandatory for all positions, and this role will be subject to enhanced checks as part of our safeguarding duties. Kids Planet is committed to equal opportunities for all. We celebrate diversity and are committed to creating an inclusive environment for all our staff and children. Applications are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships

Kids Planet is an independent, family run group of nurseries providing the highest standard of nursery care across the UK. What if your next job meant more than just work, what if it meant shaping futures, every day? Kids Planet is a proud family-run business, we do things with heart and we're passionate about giving every child the best possible start. No two settings are the same, but all of them are built around our shared values: care, curiosity, and a genuine love for early years. Join Kids Planet Somers House as an Early Years Educator! We're now looking for a Qualified Early Years Educator to join our team, someone who's ready to get stuck in, spark imaginations, and help children thrive. Why Kids Planet Somers House? Great Place to Work Certified 2025/26 Ranked #1 UK Best Workplaces for Women 2025 Crowned NMT's Large Nursery Group of the Year, for the second year running 80% Childcare Discount - T&Cs apply What we offer our Early Years Educators: Free breakfast, lunch, and healthy snacks to fuel your day! Accredited training through our awesome KP Academy and bespoke training platform. Enhanced leave for maternity, paternity, fertility, and adoption because family matters. Wellbeing goodies, staff rewards, and fun events all year round. Long service awards to celebrate your commitment. Take the day off on your birthday, it's all about you! Competitive salary, pension plan and enhanced holiday allowance. Friendly central support team always on hand to help. How you'll make a difference as an Early Years Educator: By offering exceptional care and education in accordance with the EYFS, supporting and meeting the unique needs of each child in your care. Through working supportively and collaboratively with your team to create a caring, playful environment for every child. By building warm, trusting relationships with families through kind, open communication. What an Early Years Educator needs: Must be at least Level 2 qualified in a UK recognised early years qualification. A strong understanding of EYFS. Extensive knowledge of safeguarding children. Sound like the place for you? Apply today to join Kids Planet Somers House. We are unable to offer any kind of visa sponsorship for this role. We embrace everyone. Our goal is to create a truly inclusive culture and diverse workforce. We break down barriers so you can be your authentic self and flourish! Kids Planet is dedicated to safeguarding and promoting the well-being of children and young people. An enhanced DBS check will be required for this role. We expect all staff and volunteers to uphold this commitment, and safeguarding training is a fundamental part of every role. All colleagues are required to complete regular training to ensure they understand and fulfil their responsibilities. A Disclosure and Barring Service Certificate is mandatory for all positions, and this role will be subject to enhanced checks as part of our safeguarding duties. Kids Planet is committed to equal opportunities for all. We celebrate diversity and are committed to creating an inclusive environment for all our staff and children. Applications are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships

Kids Planet is an independent, family run group of nurseries providing the highest standard of nursery care across the UK. What if your next job meant more than just work, what if it meant shaping futures, every day? Kids Planet is a proud family-run business, we do things with heart and we're passionate about giving every child the best possible start. No two settings are the same, but all of them are built around our shared values: care, curiosity, and a genuine love for early years. Join Kids Planet Somers House as an Outdoor Lead! We're now looking for an Outdoor Lead to join our team, someone who's ready to get stuck in, spark imaginations, and help children thrive. Why Kids Planet Somers House? Somers House is a few minutes away from Reigate town centre Our setting has a separate soft play and sand pit room We also have nursery pets! Great Place to Work Certified 2025/26 Ranked #1 UK Best Workplaces for Women 2025 Crowned NMT's Large Nursery Group of the Year, for the second year running 80% Childcare Discount - T&Cs apply What we offer our Outdoor Leads: Free breakfast, lunch, and healthy snacks to fuel your day! Accredited training through our awesome KP Academy and bespoke training platform. Enhanced leave for maternity, paternity, fertility, and adoption because family matters. Wellbeing goodies, staff rewards, and fun events all year round. Long service awards to celebrate your commitment. Take the day off on your birthday, it's all about you! Competitive salary, pension plan and enhanced holiday allowance. Friendly central support team always on hand to help. How you'll make a difference as an Outdoor Lead: By providing exceptional care and education in line with the EYFS, supporting each child's individual needs both indoors and outdoors. Through working collaboratively with your team to create a safe, playful, and stimulating environment that encourages exploration and learning. By building warm, trusting relationships with families through open, supportive communication, involving them in their child's development and outdoor experiences. Requirements of an Outdoor Lead: A Passion for the Outdoors Must be at least Level 3 qualified. Excellent understanding of EYFS. Extensive knowledge of safeguarding children. Leadership experience desirable. Sound like the place for you? Apply today to join Kids Planet Somers House. We are unable to offer any kind of visa sponsorship for this role. We embrace everyone. Our goal is to create a truly inclusive culture and diverse workforce. We break down barriers so you can be your authentic self and flourish! Kids Planet is dedicated to safeguarding and promoting the well-being of children and young people. An enhanced DBS check will be required for this role. We expect all staff and volunteers to uphold this commitment, and safeguarding training is a fundamental part of every role. All colleagues are required to complete regular training to ensure they understand and fulfil their responsibilities. A Disclosure and Barring Service Certificate is mandatory for all positions, and this role will be subject to enhanced checks as part of our safeguarding duties. Kids Planet is committed to equal opportunities for all. We celebrate diversity and are committed to creating an inclusive environment for all our staff and children. Applications are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships

Kids Planet is an independent, family run group of nurseries providing the highest standard of nursery care across the UK. What if your next job meant more than just work, what if it meant shaping futures, every day? Kids Planet is a proud family-run business, we do things with heart and we're passionate about giving every child the best possible start. No two settings are the same, but all of them are built around our shared values: care, curiosity, and a genuine love for early years. Join Kids Planet Somers House as an Early Years Teacher! We're now looking for a Qualified Early Years Teacher to join our team, someone who's ready to get stuck in, spark imaginations, and help children thrive. Why Kids Planet Somers House? Great Place to Work Certified 2025/26 Ranked #1 UK Best Workplaces for Women 2025 Crowned NMT's Large Nursery Group of the Year, for the second year running 80% Childcare Discount - T&Cs apply What we offer our Early Years Teachers: Free breakfast, lunch, and healthy snacks to fuel your day! Accredited training through our awesome KP Academy and bespoke training platform. Enhanced leave for maternity, paternity, fertility, and adoption because family matters. Wellbeing goodies, staff rewards, and fun events all year round. Long service awards to celebrate your commitment. Take the day off on your birthday, it's all about you! Competitive salary, pension plan and enhanced holiday allowance. Friendly central support team always on hand to help. How you'll make a difference as an Early Years Teacher: By delivering high-quality teaching and learning experiences that inspire, engage, and support children's development across all areas of the EYFS. Through working closely with the nursery team to create a positive, collaborative environment for children to thrive. By building strong, trusting partnerships with families to support each child's learning and wellbeing. What an Early Years Teacher needs: Must be at least Level 6 Early Years qualified; UK EYTS essential. An excellent knowledge of the EYFS and experience of working with children and families. Extensive knowledge of safeguarding children. Beneficial to have had Phonics Training Sound like the place for you? Apply today to join Kids Planet Somers House. We are unable to offer any kind of visa sponsorship for this role. We embrace everyone. Our goal is to create a truly inclusive culture and diverse workforce. We break down barriers so you can be your authentic self and flourish! Kids Planet is dedicated to safeguarding and promoting the well-being of children and young people. An enhanced DBS check will be required for this role. We expect all staff and volunteers to uphold this commitment, and safeguarding training is a fundamental part of every role. All colleagues are required to complete regular training to ensure they understand and fulfil their responsibilities. A Disclosure and Barring Service Certificate is mandatory for all positions, and this role will be subject to enhanced checks as part of our safeguarding duties. Kids Planet is committed to equal opportunities for all. We celebrate diversity and are committed to creating an inclusive environment for all our staff and children. Applications are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships

Seeking a Retail Sales & Merchandising Executive in Nottinghamshire to drive growth for a curry brand.Responsibilities include lead generation, customer relationship building, and in-store merchandising.

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu