Sql developer jobs in HorleyCreate job alerts

\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 a Senior Software Engineer (SaaS), you will join a substantial global engineering organisation and provide leadership to highly skilled engineers in the software platform area. You will be part of a team that follows Agile methodologies to deliver market-leading insurance solutions. This is a new position created as the organisation continues to grow and accelerate the delivery of innovative solutions that harness the latest advances in technology. The is a dedicated role to work on the evolution of ICT Platform Infrastructure capabilities which are the foundation of many of WTW’s market leading products. You will have worked on large scale and globally deployed SaaS applications that have a mature stack management capability. A sound technical background is essential to be successful in this role with experience in delivering large scale Cloud services. The Role: • Provide technical input, guidance and leadership to the team (including code quality, best practices, processes, some aspects of release management, etc.)., • Assist in the design and documenting of solutions meeting functional and non-functional requirements., • Lead by example getting directly involved in the day-to-day delivery of work with hands-on development, following best practices for maintainability, testability and performance., • Participate in sprint planning meetings, daily stand-ups and sprint retrospectives, striving to continuously improve the team velocity, its processes and engineering practices., • Coach and mentor colleagues where appropriate, fostering a collaborative and quality-focused engineering culture. What you’ll bring Platform and controlplane engineering Practical experience designing and developing management and controlplane capabilities for lineofbusiness or SaaS applications, including stack/environment management, API design for platform services, and developer/operator UX. Experience working with or designing Azure stamp-based or scale‑unit architectures, including multi-region or multi-tenant deployments, isolation and blast‑radius reduction, and automated stamp lifecycle management. SaaS product lifecycle Demonstrated experience across the full SaaS development lifecycle: requirements analysis, estimation, architecture/design, implementation, unit and system testing, deployment, operations, monitoring and incident management. Software engineering fundamentals Strong grounding in object oriented design, design patterns, SOLID principles, clean code practices, code review, documentation and Agile delivery. Core technical stack Hands‑on experience with C# and .NET (Core/6+) for backend and service development. Strong practical experience with Azure cloud and SaaS services (e.g., Container Apps, AKS, Azure Storage, Azure SQL/Cosmos DB, Key Vault, Azure Monitor, Log Analytics). Containers, Container Apps, Kubernetes and microservices Experience designing, building and operating containerised microservices, including Docker image design, optimisation, Container Apps, Kubernetes (preferably AKS) deployment and scaling strategies, and Kubernetes configuration, secrets and traffic management. Infrastructure as Code and platform automation Experience with IaC using OpenTofu or Terraform on Azure, producing modular, reusable, and maintainable infrastructure definitions. Experience automating environment and stamp provisioning, implementing blue/green or canary deployments, and detecting/remediating infrastructure drift. CI/CD and DevOps Hands‑on experience building CI/CD pipelines in Azure DevOps (Pipelines, Repos), including environments and quality gates. Familiarity with GitHub and GitHub Actions for reusable workflows, build/test/deploy automation and integration with platform tooling. Automation and testing of infrastructure and platforms Experience implementing automated testing for infrastructure and platform components, including IaC unit/integration tests, deployment validation, policy‑as‑code (Azure Policy, OPA) and IaC linting. Security and compliance Strong understanding of cloud and SaaS security best practices: least privilege, managed identities, secret management, network security, private endpoints, and secure software supply chain practices (image scanning, SBOM, dependency governance). Awareness of compliance, data residency and multi‑region considerations in multi‑tenant Azure environments. Technical leadership and communication Ability to run proofs of concept with emerging technologies and present outcomes to both technical and non‑technical audiences. Comfortable partnering with application teams to gather requirements and shape platform capabilities. Other highly desirable, but not essential skills are: Microsoft Azure certifications (e.g., AZ‑204, AZ‑400, AZ‑305). Kubernetes certifications (e.g., CKA, CKAD, CKS). Degree in Computer Science, Engineering, Mathematics or equivalent industry experience. Experience with high‑volume, low‑latency SaaS systems. Experience with distributed and event‑driven architectures (Azure Service Bus, Event Hubs, Event Grid, Kafka). Experience building multi‑tenant architectures, including tenant provisioning, routing and per‑tenant configuration/quota management. Experience with Azure ingress and global routing solutions such as Azure Front Door, Application Gateway, and Azure API Management. Experience with identity and access management using Azure AD/Entra ID, B2B, RBAC, OAuth2, OIDC, JWT and claims‑based authorisation. Experience in platform engineering or SRE roles: building internal platforms, defining SLIs/SLOs, managing error budgets, and implementing observability (centralised logging, metrics, distributed tracing). Strong awareness of emerging cloud, AI, DevOps and platform technologies, with an understanding of their applicability to SaaS platforms. General knowledge of the insurance industry or other regulated domains. What we offer Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. Equal Opportunity Employer We’re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email candidatehelpdesk@wtwco.com (ICTTECH TD2026_24) #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

Lead Developer Advocate to bridge product and engineering with the global developer community. You will craft technical content, reference implementations, demos, and enablement programs for SQL developers and data teams. You will define advocacy strategy, publish tutorials, and lead workshops acros

Our client, a prominent player in the energy and technology sectors, is seeking a dedicated and highly skilled Database Engineer / SQL Server Developer for a fixed-term contract. Designing, developing, implementing, and testing database server solutions using Microsoft SQL Server or similar technolo

You’ll bring: Proven experience designing, developing and delivering applications, ideally for users across multiple countries Expert knowledge of SQL and data structures Strong PowerApps experience, including responsive UI design, layouts and controls Experience with data integration and migratio

Develops and optimizes SQL Server solutions, works with large datasets, and resolves performance issues.

Senior C++ Developer needed for a FinTech company to work on core platform enhancements and client projects, using C++ and SQL.

Seeking an experienced Support Developer with strong SQL skills to provide support for complex WMS IT systems in a logistics environment.

Are you looking to start a career as a Business Analyst (BA) and need tailored recruitment support and the right qualifications to secure your career?.A business analyst is a problem solver who for example investigates an issue or area of weakness within an organisation, analyses solutions and helps

Cleaner x 3, Fixed Term until 31 December 2026.Work within the Councils estate of buildings undertaking cleaning duties as directed by line manager in accordance with the practices and procedures of the service.Inveralmond Early Years Centre.We are keen to employ a diverse workforce that reflects th

CLM Advisory Consultant / Business Analyst.SeniorConsultant / Managing Consultant.This is a great opportunity to join our dynamic Client Lifecycle Management (CLM) Advisory business working with some leading financial institutions, to be part of ‘The CLM Experts’ and to transform the world of CL

Work within the Councils estate of buildings undertaking cleaning duties as directed by line manager in accordance with the practices and procedures of the service.Inveralmond Community High School.We are keen to employ a diverse workforce that reflects the people of Scotland.We welcome applications

Searchability is seeking a Senior Business Analyst to lead investigation, analysis and definition of platform requirements across multiple programmes in the UK Defence sector.You will identify cross-programme dependencies, assess impacts and risks, and ensure requirements align with strategic object

Work within the Councils estate of buildings undertaking cleaning duties as directed by line manager in accordance with the practices and procedures of the service.We are keen to employ a diverse workforce that reflects the people of Scotland.We welcome applications from all backgrounds and particul

Korn Ferry is seeking an experienced Business Consultant / Functional Business Analyst to support a major European financial-market infrastructure programme.The role focuses on defining functional requirements and end-to-end workflows within securities post-trade processes.Remote work with monthly t

Work within the Councils estate of buildings undertaking cleaning duties as directed by line manager in accordance with the practices and procedures of the service.We are keen to employ a diverse workforce that reflects the people of Scotland.We welcome applications from all backgrounds and particul

Taylor & Francis is seeking a Principal Business Analyst to drive the domain-wide business architecture, standards, and governance in a large, cross-functional setting.You will lead complex analysis, coordinate multiple BAs, and ensure alignment with target architecture while engaging senior stakeho

Business Analyst | Energy Trading | Gas & Power | £900/Day Inside IR35 | Hybrid LDN.A high‑calibre Business Analyst with proven energy trading domain expertise across business and IT is required for a renowned Energy Trading house.Operating across Front, Middle & Back Office, you will play a pivo

You will collaborate closely with developers, architects, product managers, and operations teams to design scalable payment solutions. Agile Delivery: Actively participate in and drive Agile ceremonies (Scrum/Kanban), manage the technical backlog, and help unblock developers during the implementatio

London - Hybrid (2 days a week on site).Month Contract (In Scope IR35).Our client is a Consultancy that combines global know-how with local insight to help their clients turn business goals into reality, by offering innovation, automation and organisational design.Due to an increased workload they a

SQL and reporting: Solid knowledge of SQL and experience with reporting tools for data analysis and troubleshooting. Ability to translate non-technical requirements into actionable technical items for developers.

Business Analyst - Trade Surveillance SME | Cross Asset Trading House | Up to £100,000 + Bonus + Benefits.Business Analyst with Trade Surveillance experience is required for a cross-asset trading house, who continue to add new desks, trading products, and different locations to their portfolio of c

Precision Medicine Group is seeking a Principal Innovation Business Analyst to bridge business, clinical, and IT teams in Europe.You will identify opportunities for process improvement and support the adoption of AI-enabled solutions, including Copilot and AI agents.The role emphasizes requirements

Orchestrade Business Analyst | Front Office | Energy Trading | ETRM/CTRM | 6 Months Rolling | Up to £1200/Day Inside IR35 | Hybrid.One of our leading Commodity Trading clients is seeking an experienced.Physicals expertise to join their team on an exciting contract within the Energy Trading sector.O

You will collaborate with developers, architects, product managers, and operations teams to design scalable payment solutions.

Business Analyst - Trade Surveillance | Cross Asset Trading House | Up to £100,000 + Bonus + Benefits.Trade Surveillance Business Analyst is required for a cross-asset trading house, who continue to add new desks, trading products, and different locations to their portfolio of clientele and interna

Humankind Global Recruitment is seeking a Senior Business Analyst for a London-based, hybrid role (2 days on site).The 6-month contract is IR35 in scope, with a day rate of £500-£600.You will lead end-to-end business analysis for clients and internal partners, run workshops, craft business cases a

Hybrid working - London / Bristol, with travel between sites once per week.Senior BA opportunity supporting a major Defence digital programme.Initial contract until 30/10/2026.Our client is a major organisation operating within the UK Defence sector, delivering complex digital and technology program

We're looking for Technical Business Analysts x 2 to join a high-profile national infrastructure programme, replacing a global network estate for a major UK organisation.This is significant, high-visibility work.You'll be joining early, during discovery, helping shape direction and requirements ahea

Strong SQL skills with the ability to write complex queries, joins, aggregations, reconciliation queries, and validation scripts. Experience working with structured and semi-structured data formats including SQL tables, CSV, XML, JSON, and Parquet.

It is listed on the London Stock Exchange and is a member of the FTSE 100.We empower learners, thinkers and doers with trusted knowledge that advances research and enriches lives.We bring together diverse people, ideas and opinions to validate and publish the experts, theories and truths that matter

VirtueTech Recruitment Group is seeking a Senior Business Analyst specializing in Energy Trading for a prominent trading house in Greater London.You will own end-to-end project delivery and facilitate the convergence of business and technology, emphasizing both C-level engagement and stakeholder ali

Sr Tech Business Analyst, AVP in Whippany, NJ to analyze complex datasets and document AML requirements.You will develop reports on risk exposures and collaborate with cross-functional teams to define compliant solutions.Responsibilities include creating BRD/FRD documents, coordinating with technica

Salary £550 - £650/day + Inside IR35.Job Location United Kingdom -England -Greater London -London.Business Analyst - Investment Banking - London - Hybrid - Inside IR35.My client seeks a seasoned Business Analyst from within the Investment Banking arena, to join a team with focus on IT Change ensur

Architect and optimize large-scale distributed systems to continuously improve throughput, reliability, observability, and developer experience.

You will collaborate closely with developers, architects, product managers, and operations teams to design scalable payment solutions. Agile Delivery: Actively participate in and drive Agile ceremonies (Scrum/Kanban), manage the technical backlog, and help unblock developers during the implementatio

We’re seeking a future team member for the role of Senior Vice President, Senior Software Engineering, Developer Experience to join our Developer Experience (DevEx) team. Define and track key metrics such as build success rate, duration, cost efficiency, adoption rates, and developer satisfaction

Welfare Cleaner - Maidenhead Maidenhead | £655 per week before tax (PAYE) | Immediate Start | 1 Month+ We are currently looking for a reliable Welfare Cleaner to join a busy commercial office fit-out project in Maidenhead.This is an excellent opportunity for someone with previous constructio

Waking Night Support Worker - Bank Make Every Day Matter!.Are you looking for a role where your.If this is you, I encourage you to read on!.Paid training & career development.Learn more about our benefits and recognition here:.Do you stay calm when things take time?.Can you explain information clear

Night Rehabilitation Support Worker PLEASE NOTE WE DO NOT OFFER SPONOSRSHIP FOR THIS ROLE LOCATION: Broadbridge Heath/Horsham/Slinfold SALARY: A competitive rate of up to £14.HOURS: Part time and full time work available.Shifts are on a rotational basis - This is a 4 week rolling which

Full-Time or Part-Time | Immediate Start.We have full-time and part-time cleaning jobs available in your area.Just click 'apply' and complete our online application form - it only takes a couple of minutes and you can start immediately!.We're the best agency for home cleaners.We go out of our way to

Cleaner – Retail Cleaning Traford Centre, Manchester / Manchest Arndale Centre £12.Hours are : Monday to Thursday 7am - 9:30am Friday: off - Saturday 7am - 9:30am and Sunday 9am - 11:00am Permanent position with company benefits, pension scheme available after probation period C

We have a great opportunity for a part time cleaner to join our team in Hardham Location: RH20 1LA Hours: 9 AM to 12 PM Monday to Friday Pay: £12.PAYE Job type: TEMP Cleaning experience is essential Cleaning toilets, replenishing paper, emptying bins, hoovering, mopping If you are interested apply

Cleaner – Void Properties Location: Redhill Salary: £25,179 per annum 36 hours per week A leading housing provider is looking for a reliable and motivated Cleaner to join its void properties team in the Redhill area.The successful candidate will be responsible for delivering a high-qua