1 to 25 of 394 Google Jobs in London

Lambda Amazon Redshift AWS Lake Formation Data Engineering & Analytics SQL Python ETL/ELT frameworks Data Warehousing solutions Data Modelling methodologies Performance & Digital Analytics Google Analytics Google BigQuery Google Looker Studio Google Tag Manager Desirable Experience Experience within benefits, welfare, citizen services, or wider public sector domains. Previous experience delivering ...

Cloud & DevOps Experience with at least one major cloud platform: AWS (preferred) Bedrock SageMaker Lambda ECS/EKS S3 Or experience within: Microsoft Azure Google Cloud Platform (GCP) Additional experience with: Docker Kubernetes Git CI/CD Pipelines Terraform (desirable) What We're Looking For Strong software engineering foundations Passion ...

Familiarity with build tools such as Maven or Gradle Good problem-solving and analytical skills Preferred Qualifications Experience with cloud platforms (AWS, Azure, or Google Cloud) Knowledge of containerization tools (Docker, Kubernetes) Experience with CI/CD pipelines Familiarity with Front End technologies (HTML, CSS, JavaScript) Understanding of Agile/ ...

development. Strong proficiency in SQL and Python. Hands-on experience with DBT, Git, Terraform, IAM, Airflow/Composer, and Docker. Cloud platform experience, preferably Google Cloud Platform (BigQuery), with Azure or AWS also considered. Experience building and maintaining modern data warehouses and data platforms. Strong understanding of CI/ ...

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 ...

applications or integrating LLM APIs Familiarity with Retrieval-Augmented Generation (RAG), vector databases, embeddings, and AI agent architectures Experience integrating services from OpenAI, Anthropic, Google Gemini, or similar AI platforms Experience working in regulated, standards-driven, or public sector environments Familiarity with Infrastructure as Code (Terraform, CloudFormation, etc.) Relevant certifications ...

applications or integrating LLM APIs Familiarity with Retrieval-Augmented Generation (RAG), vector databases, embeddings, and AI agent architectures Experience integrating services from OpenAI, Anthropic, Google Gemini, or similar AI platforms Experience working in regulated, standards-driven, or public sector environments Familiarity with Infrastructure as Code (Terraform, CloudFormation, etc.) Relevant certifications ...

cost control Auditing and compliance enforcement Desirable Skills AWS Specialty certifications (e.g. Security, Machine Learning, Advanced Networking) Exposure to other cloud platforms (e.g. Azure, Google Cloud) Whats on Offer Competitive base salary + comprehensive benefits package 30 days annual leave Private medical insurance Additional paid leave for charitable work Access ...

ONNX Runtime, and LangChain, integrating orchestration tools like Semantic Kernel, LangGraph, and CrewAI. Drive responsible integration of Large Language Models (LLMs) from OpenAI, Anthropic, Google Gemini, and Mistral, including deployment via Azure OpenAI Service or Vertex AI. Implement retrieval‐augmented generation (RAG) architectures and manage vector databases such as Pinecone ...

including Salesforce Platform Developer I, Marketing Cloud Consultant, Integration Architect, AI Associate, or AI Specialist. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud , and experience integrating with cloud-based data warehouses or data lakes (eg Snowflake, Databricks, BigQuery). Knowledge of data security and compliance best practices ...

etc. Data/Analytics - solving enterprise data and analytics problems using technology Cloud - hands-on Public Cloud experience in either AWS/Azure/Google, both their 'services' and 'how' to work in the cloud such as DevOps-centric approach Security - having worked in sensitive data environments and ideally have ...

business analyst or a similar role. Proficient in using project management tools (e.g., Jira, Trello, Azure) and productivity software (e.g., Microsoft Office Suite, Google Workspace). Possesses a comprehensive understanding of SDLC, Agile, Scrum, and Waterfall methodologies Demonstrates experience in requirements gathering, process mapping, and business analysis. Exceptional analytical, problem ...

business analyst or a similar role. Proficient in using project management tools (e.g., Jira, Trello, Azure) and productivity software (e.g., Microsoft Office Suite, Google Workspace). Possesses a comprehensive understanding of SDLC, Agile, Scrum, and Waterfall methodologies Demonstrates experience in requirements gathering, process mapping, and business analysis. Exceptional analytical, problem ...

Proficiency in data engineering & platforms (SQL, data warehousing, ETL/ELT pipelines, data modeling, data wrangling). Experience delivering cloud-native solutions, ideally within Google Cloud Platform (GCP), or equivalent AWS or Azure experience. Familiarity with Kubernetes, Jenkins, CI/CD tooling, and multi-cloud environments. Strong understanding of DevOps ...

coding → testing → ops). Tooling & Platforms (practitioner proficiency) Claude Code (Anthropic) for secure, context‐rich code assistance; use with projects, tool use, code planning. Google Gemini (Nano/Pro/1.5) for multimodal reasoning; integrate via Vertex AI; grounding, structured output, function‐calling. Azure OpenAI/GPT‐4.x for enterprise ...

play a pivotal role in developing scalable marketing technologies that enhance automation, measurement, and personalization across global marketing campaigns on platforms such as Google, Meta and Apple. In this role, you will: Drive product development across data, automation, and AI/ML capabilities to support marketing scalability and efficiency. Collaborate ...

implementing RESTful APIs with clear documentation Solid understanding of database design and optimization (SQL and/or NoSQL) Experience with cloud platforms (AWS, Google Cloud, or Azure) and containerization technologies (Docker, Kubernetes) Experience building data-intensive applications or processing large-scale log data Strong understanding of system design principles, including ...

experience in some of these, but if not we’ll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration ...

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Frankfurt, Germany; Munich, Germany; London, UK . Minimum qualifications Bachelor's degree in Computer Science ...

hiring a quota‐carrying Partner Sales Director to grow joint pipeline and close net‐new revenue with two priority alliances: Braze and Google . You’ll sit at the intersection of alliance activation and enterprise sales, co‐selling with Braze’s EMEA field teams on cross‐channel customer engagement … lifecycle CRM, and with Google’s partner and cloud teams on Google Marketing Platform, Google Cloud and Vertex AI‐enabled data transformation. Own opportunities end‐to‐end (pipeline, progression and close) against an annual quota. Primary motion is partner‐sourced and partner‐influenced deals, not solo hunting. Work across EMEA ...

opportunity to contribute greatly to an extremely engineering-focused organization and further your experience across technologies such as Cloud Composer, Airflow, Dataflow, Spark, Terraform, Google Cloud Platform, etc; You will own engineering efforts to provide partner teams within the organisation with data sources that build the AI/ML user ...

love the culture and the technical challenges. Key Responsibilities Design, implement, and scale production-ready batch and real-time data streaming flows within a Google Cloud environment. Integrate automated testing, data quality guardrails, and monitoring tools to guarantee system health, security, and compliance. Collaborate with data scientists and product engineering ...

using and maintaining Docker containers. Strong understanding of RESTful API design principles and best practices. Experience with TDD and testing frameworks such as Boost.Test, Google Test, etc... NicetoHaves: ExperiencewithAzureservicesformanagingGPTpipelinesandmulti-cloudinfrastructure. FamiliaritywithbigdatatechnologiessuchasApacheSpark,Kafka,andMSKforlarge-scaledataprocessing. Experience with boost libraries (asio, beast). Advancedexperienceincostoptimizationstrategiesforcloudinfrastructureanddatabaseperformancetuning. Technicalacumen: AdvancedknowledgeofallAWSsystemsandservices. Detailoriented: Responsibleformission-criticalhealthcareproductsandservices. CommunicationsandTrust: Phenomenalcommunicationskillswiththeabilitytomaintainthehighestlevelsofconfidentialityonaconsistentbasis. OrganisationandGettingStuffDone ...

experience in some of these, but if not we’ll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration ...

direction across multiple teams. Proven ability to mentor engineers and provide technical leadership within multidisciplinary teams. Desirable Experience Experience with Azure and/or Google Cloud Platform. Experience building Internal Developer Platforms and self-service engineering capabilities. Knowledge of GitOps tooling such as Argo CD or Flux. Experience applying Site ...