26 to 50 of 807 Google Jobs in London

needs that other disciplines may not be aware of. RECENT GENERATIVE AI WORK A selection of recent Generative AI work from across AKQA: Google: Bringing emotion and intuition back to online shopping Netflix: It's What's Inside - The Game Nike: Never Done Evolving Explore our extensive range of benefits. ...

degree in Computer Science, Engineering, Mathematics, Data Science or related discipline, or equivalent depth through relevant professional certifications (e.g. AWS Solutions Architect Professional, Google Professional ML Engineer). Desirable: prior experience as a forward‐deployed or embedded engineer within a client environment; exposure to regulated industries such as energy, financial ...

NVIDIA Deep Learning Institute credentials) — strongly preferred. Cloud AI/ML certification: AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Google Professional Machine Learning Engineer — at least one preferred. Kubernetes: CKA or CKAD — preferred. TOGAF 9/10 or equivalent enterprise architecture certification — beneficial. Adjacent Technical ...

data across platformsUnderstanding of the FinOps.org framework: domains, capabilities, maturity model, and lifecycle phases (Inform/Optimise/Operate)Spreadsheet modelling: advanced Excel/Google Sheets for TCO calculations, cost projections, and scenario analysisBasic understanding of monitoring tools (Datadog, Dynatrace, SolarWinds, Prometheus) for correlating usage data with cost dataSOFT SKILLS ...

Cloud Enterprise Architect, Professional Services, Google Cloud link Copy link corporate_fare Google place London, UK Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain. link Copy link Bachelor’s degree or equivalent practical experience. 7 years of experience troubleshooting technical issues … improvement, operational reviews, optimizing workflows, etc.). 10 years of experience working with Unix or Linux operating systems/commands. About the job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform ...

utility Required qualifications, capabilities and skills Demonstrate proficiency in Java and/or Python programming languages Deployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools ...

areas: Infrastructure Automation - Puppet, Ansible, Chef, Salt... Development and Scripting- Ruby, Python, Javascript, PowerShell, Bash... Unix, Linux or Windows System Administration Azure, AWS or Google Cloud experience - Knowledge of cloud resources,deployments, etc... DevOps tools and practices: Git-based version control (GitHub, Gitlab, Azure DevOps, Bitbucket...) CI/CD tooling ...

Associate.Red Hat Ansible certification.Google Cloud, AWS, or Azure certification.Cisco, Juniper, Nokia, or Ericsson automation-related certifications.TM Forum Open API certification.Nice-to-Have QualificationsExperience with Google Vertex AI, Gemini APIs, BigQuery, or similar platforms.Experience with LangChain, LangGraph, MCP, or agentic AI execution frameworks.Experience with ServiceNow, Netcracker, Amdocs, Ericsson, Nokia, Cisco ...

when to use different tools. Scripting & Automation: Skills in a scripting language like Python, Ansible, Bash, Groovy, Powershell, or similar. DESIRABLE SKILLS: Azure or Google Cloud Experience: Ability to compare and contrast cloud offerings, especially in a migration scenario. AWS Professional Certification: If you don’t already have ...

build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about ...

Broad experience with data governance, data quality, master data management, and regulatory requirements. Key Skills: Advanced knowledge of cloud data platforms: Azure, AWS, and Google Cloud Platform (GCP). Strong experience with data warehousing, data lakes, and lakehouse architectures. Hands‐on experience with SQL and at least one programming language ...

fast-paced environments What will help you on the job Experience with modern web development frameworks, particularly Next.js,React, and TypeScript Familiarity with Google Cloud Platform services, especially BigQuery andCloud Run Knowledge of enterprise authentication patterns including SSO, SAML, OAuth,and RBAC Experience processing and optimizing applications that work with ...

partner or as part of a delivery/technical consulting team in a software company. Experience with large data such as Snowflake, Databricks, AWS, Google Cloud Storage/Big Query, Azure administration or architecture. Experience with Customer Data platforms such as Segment, Tealium, Adobe Experience Platform, Amperity, Treasure Data, Twilio ...

partner or as part of a delivery/technical consulting team in a software company. Experience with large data such as Snowflake, Databricks, AWS, Google Cloud Storage/Big Query, Azure administration or architecture Experience with Customer Data platforms such as Segment, Tealium, Adobe Experience Platform, Amperity, Treasure Data, Twilio ...

Solutions Architect, Digital Platforms, Google Cloud Google London, UK; Frankfurt am Main, Germany; +2 more; +1 more Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain. Bachelor's degree in Computer Science, a related field, or equivalent practical experience. 7 years … structured PRD and a working technical demo. About the job This role sits within the Global Solutions and Consumer AI organization with Google Cloud. Their role is accelerate customer value and increase adoption by delivering innovative, repeatable, and enterprise-ready solutions focused on business value. Make Google Cloud the preferred ...

Agile or Scrum, in particular iterative approaches to software development in conjunction with the client. Experience with cloud platforms such as AWS, Azure or Google Cloud. Familiarity with DevOps practices and principles, such as CI/CD pipelines, containerisation (e.g. Docker) and associated orchestration. This is a genuinely exciting opportunity ...

core banking systems (e.g., Equation), Treasury systems, and finance systems. Proficiency in SQL Server and database management. Familiarity with cloud technologies (e.g., AWS, Azure, Google Cloud) is a plus. Leadership Skills: Excellent leadership and team management skills. Strong problem-solving and decision-making abilities. Exceptional communication and interpersonal skills. Certifications ...

core banking systems (e.g., Equation), Treasury systems, and finance systems. Proficiency in SQL Server and database management. Familiarity with cloud technologies (e.g., AWS, Azure, Google Cloud) is a plus. Leadership Skills: Excellent leadership and team management skills. Strong problem-solving and decision-making abilities. Exceptional communication and interpersonal skills. Certifications ...

degree in Computer Science, Engineering, Mathematics, Data Science or related discipline, or equivalent depth through relevant professional certifications (e.g. AWS Solutions Architect Professional, Google Professional ML Engineer). Prior experience as a forward-deployed or embedded engineer within a client environment; exposure to regulated industries such as energy, financial services ...

technically complex problems. Preferred technical and professional experience Apache Kafka or other distributed messaging technologies. Java development. Public cloud platforms (AWS, Azure or Google Cloud). Kubernetes, Docker or containerised environments. Linux system administration. Networking fundamentals (DNS, TLS, load balancing, firewalls). CI/CD pipelines and software development lifecycle ...

date with new technology in the AI space. Nice to have: Direct experience with advanced AI tools and platforms, such as Amazon Bedrock or Google Vertex AI. Familiarity with frameworks for building complex, multi‐step generative AI applications, like LangGraph. Experience with Agent‐to‐Agent (A2A) communication or coordination patterns ...

explain technical concepts clearly and build effective relationships with a range of stakeholders. Experience of working with cloud platforms such as AWS, Azure or Google Cloud, applying modern DevOps and SRE practices. Experience designing and delivering infrastructure-as-code solutions using tools such as Terraform, CloudFormation or similar. Ability ...

Code: Experience with Terraform, CloudFormation, CDK or equivalent tools. Scripting & Automation: Skills in Python, Ansible, Bash, Groovy, Powershell, or similar. DESIRABLE SKILLS: Azure or Google Cloud Experience: Ability to compare and contrast cloud offerings, especially in a migration scenario. AWS Professional Certification: If you don’t already have ...

help build scalable AI solutions that deliver measurable business outcomes for some of the world's most recognised brands. Our infrastructure is powered by Google Cloud Platform (GCP), and we take pride in applying cutting‐edge AI techniques to real-world marketing and advertising challenges. Key Responsibilities Architecture & Multi-Agent ...

Large Language Models, Generative AI, Retrieval‐Augmented Generation (RAG), AI agents, and enterprise AI architectures. Experience with cloud platforms including AWS, Azure, or Google Cloud Platform. Understanding of APIs, microservices, distributed systems, and enterprise integration patterns. Experience designing secure, scalable, and highly available enterprise solutions. Familiarity with Kubernetes, Docker, cloud ...