1 to 25 of 394 Google Jobs in London

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 ...

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 ...

Proven experience in DevOps, Platform Engineering, Cloud Engineering, or Site Reliability Engineering roles. Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). Experience with Infrastructure as Code tools such as Terraform, CloudFormation, ARM Templates, or Bicep. Strong knowledge of CI/CD tools ...

Proven experience in DevOps, Platform Engineering, Cloud Engineering, or Site Reliability Engineering roles. Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). Experience with Infrastructure as Code tools such as Terraform, CloudFormation, ARM Templates, or Bicep. Strong knowledge of CI/CD tools ...

Data Engineer in enterprise or government environments. Proficiency in SQL and Python for data engineering tasks. Experience with cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP) Hands-on experience with data technologies such as: Apache Spark, Databricks, Kafka, Airflow, Snowflake, Hadoop ecosystems Experience designing and maintaining data warehouses ...

Proven experience in DevOps, Platform Engineering, Cloud Engineering, or Site Reliability Engineering roles. Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). Experience with Infrastructure as Code tools such as Terraform, CloudFormation, ARM Templates, or Bicep. Strong knowledge of CI/CD tools ...

Data Engineer in enterprise or government environments. Proficiency in SQL and Python for data engineering tasks. Experience with cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP) Hands-on experience with data technologies such as: Apache Spark, Databricks, Kafka, Airflow, Snowflake, Hadoop ecosystems Experience designing and maintaining data warehouses ...

Data Engineer in enterprise or government environments. Proficiency in SQL and Python for data engineering tasks. Experience with cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP) Hands-on experience with data technologies such as: Apache Spark, Databricks, Kafka, Airflow, Snowflake, Hadoop ecosystems Experience designing and maintaining data warehouses ...

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 ...

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 ...

with at least one of: LLM API integration, vector databases, prompt engineering, or RAG pipeline construction. Familiarity with REST-based AI APIs (OpenAI, Anthropic, Google Vertex AI, or equivalent) and a working understanding of embeddings, semantic search, and token-based context management. Comfortable reading Python code or notebooks (most ...

with at least one of: LLM API integration, vector databases, prompt engineering, or RAG pipeline construction. Familiarity with REST-based AI APIs (OpenAI, Anthropic, Google Vertex AI, or equivalent) and a working understanding of embeddings, semantic search, and token-based context management. Comfortable reading Python code or notebooks (most ...

with at least one of: LLM API integration, vector databases, prompt engineering, or RAG pipeline construction. Familiarity with REST-based AI APIs (OpenAI, Anthropic, Google Vertex AI, or equivalent) and a working understanding of embeddings, semantic search, and token-based context management. Comfortable reading Python code or notebooks (most ...

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 ...