226 to 250 of 3,260 Google Jobs in England

Develop and deliver the organisations workplace AI strategy, ensuring alignment with business goals and technology roadmaps. Lead AI enablement programmes across Microsoft 365 Copilot, Google Workspace AI, ServiceNow AI, and other vendor platforms. Assess current workplace environments and identify opportunities for AI driven productivity, automation, and experience improvement. Design … implementing of AI/ML concepts , including LLMs, chatbots, predictive analytics, and automation frameworks. Associate and professional level certifications in Microsoft 365, Azure AI, Google Cloud, or ServiceNow. Experience delivering AI focused change management and adoption programmes with MS Copilot, Google Duet, Clause Copilot Strong analytical mindset with the ability ...

deliver the organisation's workplace AI strategy, ensuring alignment with business goals and technology roadmaps.· Lead AI enablement programmes across Microsoft 365 Copilot, Google Workspace AI, ServiceNow AI, and other vendor platforms.· Assess current workplace environments and identify opportunities for AI driven productivity, automation, and experience improvement.· Design and implement … implementing of AI/ML concepts, including LLMs, chatbots, predictive analytics, and automation frameworks.· Associate and professional level certifications in Microsoft 365, Azure AI, Google Cloud, or ServiceNow.· Experience delivering AI focused change management and adoption programmes with MS Copilot, Google Duet, Clause Copilot· Strong analytical mindset with the ability ...

application issues, optimising performance and reliability Architect and implement database solutions, including design and maintenance Deploy and maintain cloud-hosted solutions (Azure, AWS, or Google Cloud) Drive agile development processes – sprint planning, refinement, and retrospectives Engage confidently with clients, supporting our Managed Service offering Diagnose and resolve complex Microsoft-related … Experience with version control (Git) and collaborative development workflows Solid understanding of RESTful APIs and microservices architecture Familiarity with cloud platforms (Azure, AWS, or Google Cloud) Experience working within agile methodologiesExcellent communication skills – written and spoken – including client-facing interactions Right to work in the UK Experience with Data ...

Doing As a trusted advisor and technical leader, you will: Design and deliver secure, resilient, and scalable architecture designs across AWS, Azure, and Google Cloud Platform environments. Advise on enterprise-scale cloud transformation, migration, and modernisation programmes, supporting across strategy through to implementation. Help clients establish and mature DevSecOps capabilities … identity and access management, network security, data protection, and security operations. Experience designing and implementing secure cloud architectures across AWS, Azure and/or Google Cloud Platform. Deep understanding of modern security frameworks and architectures, including Zero Trust principles. Excellent stakeholder management, communication, and client-facing consulting skills. Experience leading ...

organizations and 6,000 channel partners to protect, secure, and govern their entire AI estate across data, infrastructure, AI and agents for Microsoft, Google, Salesforce, and other leading cloud environments — so that enterprises can deploy AI with confidence and scale innovation without scaling risk. To learn more, visit www.avepoint.com . … collaborate with confidence. Over 25,000 customers worldwide rely on the AvePoint Confidence Platform to prepare, secure, and optimize their critical data across Microsoft, Google, Salesforce, and other collaboration environments. AvePoint’s global channel partner program includes approximately 5,000 managed service providers, value-added resellers, and systems integrators, with ...

methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms, leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics … Language Models and autonomous agent systems, building next-generation AI applications using foundation models, retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation, creating resilient data pipelines, scalable deployment ...

you. As a Staff Infrastructure Engineer you will bring the below experience or knowledge: Proven GCP multi-region disaster recovery experience Confident at bootstrapping Google Cloud Organisations, hardening with policies and structuring an enterprise’s resource hierarchy Experience with Google Cloud Platform (GCP) services including GKE, Compute Engine, Network Connectivity … Experience with observability tooling — Cloud Monitoring, Cloud Logging, Cloud Trace, Managed Service for Prometheus and OpenTelemetry (we also use Grafana) Experience setting up Google Workspace/Google Cloud Identity Experience with automation using a scripting language like Python or Go Experience implementing CI/CD pipelines An understanding of RESTful ...

you. As a Staff Infrastructure Engineer you will bring the below experience or knowledge: Proven GCP multi-region disaster recovery experience Confident at bootstrapping Google Cloud Organisations, hardening with policies and structuring an enterprise’s resource hierarchy Experience with Google Cloud Platform (GCP) services including GKE, Compute Engine, Network Connectivity … Experience with observability tooling — Cloud Monitoring, Cloud Logging, Cloud Trace, Managed Service for Prometheus and OpenTelemetry (we also use Grafana) Experience setting up Google Workspace/Google Cloud Identity Experience with automation using a scripting language like Python or Go Experience implementing CI/CD pipelines An understanding of RESTful ...

Analytics toolset to utilize on client business, including data visualisation technologies (Power BI, Tableau, Datorama), reporting tools (Microsoft Excel, Looker Studio), data warehouse tools (Google BigQuery), measurement platforms (Google Campaign Manager and Google Analytics) and Effectiveness partners (both within WPP and externally) Develop effective partnerships with key stakeholders within clients ...

using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. Cloud-native AI engineering and large-scale data platforms, leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics … Language Models and autonomous agent systems, building next-generation AI applications using foundation models, retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation, creating resilient data pipelines, scalable deployment ...

using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. Cloud-native AI engineering and large-scale data platforms, leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics … Language Models and autonomous agent systems, building next‐generation AI applications using foundation models, retrieval‐augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation, creating resilient data pipelines, scalable deployment ...

providing architectural guidance and designing tooling to support efficient line-of-business adoption of public cloud offerings including Amazon Web Services, Microsoft Azure and Google Cloud Platform. Job responsibilities Guides architectural decisions for the JPMC enterprise cloud platform and advise tenant applications on effective workload placement across AWS, Azure … clouds to support advising on workload placement and designing tools that streamline this process Commercial public cloud native software experience AWS Certified Cloud Practitioner, Google Cloud Certified Cloud Digital Leader, Microsoft Certified: Azure Fundamentals Hands-on practical experience delivering system design, application development, testing, and operational stability with strong coding ...

code, and hardening standards. Required Qualifications, Capabilities, and Skills Formal training or certification on software engineering concepts, such as Certified Kubernetes Application Developer (CKAD), Google Associate Cloud Engineer Certification, or AWS Certified Solutions Architect Hands‐on practical experience delivering system design, application development, testing, and operational stability Advanced … domain, such as cloud, artificial intelligence, machine learning, mobile, etc. Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services, or Microsoft Azure Preferred Qualifications, Capabilities, and Skills Expertise in the Kubernetes operator pattern Expertise deploying infrastructure as code, using Crossplane ...

methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms, leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics … Language Models and autonomous agent systems, building next-generation AI applications using foundation models, retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation, creating resilient data pipelines, scalable deployment ...

methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms, leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics … Language Models and autonomous agent systems, building next-generation AI applications using foundation models, retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation, creating resilient data pipelines, scalable deployment ...

Data Science with the ability to use BI tools like Power BI, Tableau etc. Extensive knowledge of Performance Analytics and tooling such as Google Analytics, Google Tag Manager, Amplitude etc. Experience in capturing requirements and Governance & Control documentation, knowledge of GDS is an added advantage Applied experience of metadata analysis ...

value realized by automation. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts, such as Certified Kubernetes Application Developer (CKAD), Google Associate Cloud Engineer Certification, or AWS Certified Solutions Architect Hands‐on practical experience delivering system design, application development, testing, and operational stability Advanced … domain, such as cloud, artificial intelligence, machine learning, mobile, etc. Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services, or Microsoft Azure Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test ...

engineers who are curious, collaborative and motivated to build their expertise in cloud engineering, automation and service reliability. Knowledge of cloud platforms, particularly Google Cloud Platform (GCP), or equivalent experience gained through projects, training or certification. Experience using scripting or programming languages such as Python, PowerShell or Bash to automate … would be really useful Experience supporting production services, operational platforms or live environments. Familiarity with monitoring and observability platforms such as Dynatrace. Experience with Google SecOps. Experience working with GitHub, Terraform, CI/CD pipelines and cloud-native engineering practices. Experience using Jira and Confluence and working within Agile delivery ...

operational analytics platforms. Demonstrated ability to advise senior stakeholders and lead multidisciplinary transformation programmes. Experience working across hyperscaler ecosystems including Azure, AWS and Google Cloud Platform. Proven ability to balance business outcomes, user needs, engineering constraints and operational requirements when shaping platform strategies. Desirable Experience Experience with AI observability, model … Active participation in AI, SRE, platform engineering or cloud communities. Certifications (Desirable) Azure AI Engineer Associate Azure Solutions Architect Expert AWS Machine Learning Specialty Google Professional Cloud Architect Certified Kubernetes Administrator (CKA) SRE Foundation or SRE Practitioner Relevant observability platform certifications (Datadog, Dynatrace, Splunk etc.) Security Check (SC) Clearance ...

operational analytics platforms.• Demonstrated ability to advise senior stakeholders and lead multidisciplinary transformation programmes.• Experience working across hyperscaler ecosystems including Azure, AWS and Google Cloud Platform.• Proven ability to balance business outcomes, user needs, engineering constraints and operational requirements when shaping platform strategies.Desirable Experience• Experience with AI observability, model monitoring … activities.• Active participation in AI, SRE, platform engineering or cloud communities.Certifications (Desirable)• Azure AI Engineer Associate• Azure Solutions Architect Expert• AWS Machine Learning Specialty• Google Professional Cloud Architect• Certified Kubernetes Administrator (CKA)• SRE Foundation or SRE Practitioner• Relevant observability platform certifications (Datadog, Dynatrace, Splunk etc.)Security Check (SC) ClearanceTo ...

Desirable: RAG pipelines, MCP, LLM integration (OpenAI, Gemini, Hugging Face models), LangSmith, TruLens, and agentic frameworks such as LangChain, CrewAI, Autogen, OpenAI Agents and Google ADK. You won't need every technology on this list. A strong engineering foundation, a good cross-section of these skills, and the curiosity … Software Engineer, Django Developer, FastAPI Developer, React Developer, Next.js Developer, TypeScript Developer, Azure OpenAI, Vertex AI, LangChain, LangGraph, CrewAI, Autogen, OpenAI Agents SDK, Google ADK, RAG, retrieval augmented generation, MCP, LangSmith, TruLens, prompt engineering, Docker, Kubernetes, AKS, GCP, Azure DevOps, GitHub Actions, PostgreSQL, BigQuery, TDD, DDD. Deerfoot Recruitment Solutions ...

quickly and safely from idea to production. You will design, engineer and operationalise secure, scalable cloud environments and innovation services across Microsoft Azure and Google Cloud Platform (GCP), supporting a growing portfolio of AI, automation and digital transformation initiatives. Working closely with Innovation, Enterprise Architecture, Security, Infrastructure and Product teams … someone who combines deep technical expertise with a pragmatic, delivery-focused mindset. You will likely bring: Strong engineering experience across Microsoft Azure and Google Cloud Platform. Experience building and managing cloud-native platforms and services. Expertise in Infrastructure as Code, automation and platform engineering practices. Experience implementing CI/ ...

value realized by automation. Required qualifications, capabilities, and skillsFormal training or certification on software engineering concepts, such as Certified Kubernetes Application Developer (CKAD), Google Associate Cloud Engineer Certification, or AWS Certified Solutions ArchitectHands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced in one or more programming … domain, such as cloud, artificial intelligence, machine learning, mobile, etc. Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services, or Microsoft AzureDemonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration ...

accuracy, reliability, and completeness Advanced fluency in SQL and Python, or similar programming languages, for complex data manipulation, modelling, automation, and analysis Proficiency with Google Cloud Platform, etc. Ability to work effectively and independently, including managing tasks across staggered time zones Expert proficiency in Google Sheets and/or Excel ...

work independently, multi-task, and take ownership of various parts of a project or initiative. Relevant certifications such as CISSP, AWS Certified Security Specialty, Google Professional Cloud Security Engineer are desirable Experience with infrastructure as code (IaC) tools: Terraform and CloudFormation Proficiency in Python, Go or Java Proficiency in unit ...