1 to 25 of 336 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 ...

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 ...

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 ...

distributed systems, with a focus on reliability, performance and user impact. Experience of building applications hosted on cloud platforms such as AWS, Azure or Google Cloud. Ability to build code-defined, reliable and well-tested infrastructure using tools such as Terraform, CloudFormation or similar. Knowledge of Linux/Unix fundamentals ...

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 ...

distributed systems, with a focus on reliability, performance and user impact. Experience of building applications hosted on cloud platforms such as AWS, Azure or Google Cloud. Ability to build code-defined, reliable and well-tested infrastructure using tools such as Terraform, CloudFormation or similar. Knowledge of Linux/Unix fundamentals ...

recovery strategies. Improve CI/CD pipelines to enhance deployment speed while maintaining stability. Optimize cloud cost and resource utilization for AWS, Azure, or Google Cloud Platform (GCP) . Participate in on-call rotations to quickly address system failures and minimize downtime. Requirements Around 4+ years of experience in Site ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...