1 to 25 of 445 Google Jobs in London

learning, and a commitment to advancing both personal expertise and organizational capability. **Skill Level Requirements** • Deep expertise in cloud architecture across AWS, Azure, or Google Cloud platforms. • Strong experience designing microservices-based architectures, APIs, and containerized environments (Docker, Kubernetes). • Proven ability to architect solutions across enterprise systems, integration layers ...

Staff Product Data Scientist, Google Shopping Google – London, UK Qualifications Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years … agentic workflows. Experience maintaining full accountability for a technical codebase, balancing speed against analytical debt and model stability. About the job Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout ...

learning, and a commitment to advancing both personal expertise and organizational capability. Skill Level Requirements Deep expertise in cloud architecture across AWS, Azure, or Google Cloud platforms. Strong experience designing microservices-based architectures, APIs, and containerized environments (Docker, Kubernetes). Proven ability to architect solutions across enterprise systems, integration layers ...

tools such as Jenkins, GitLab, Bamboo, or Ansible. Experience with SDLC tools including Jira, Confluence, Bitbucket, Nexus, and Zephyr. Knowledge of AWS, Azure, or Google Cloud Platform. Experience with Docker and Kubernetes. Strong understanding of Git and version control. Experience with monitoring and observability tools such as Splunk, Dynatrace, Datadog ...

Zephyr. CI/CD Tools: Experience with tools such as Jenkins, Bamboo, GitLab, Ansible. Cloud Platforms: Knowledge of cloud services like AWS, Azure, or Google Cloud Platform. Security: Experience with tools for delivering SCA, SAST, DAST capabilities. Monitoring and Logging: Proficiency with tools like Splunk, Dynatrace, Datadog, Prometheus, Grafana. Version ...

implementing automated testing within CI/CD pipelines. Understanding of microservices and containerised architectures. Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform. Knowledge of performance, security, or accessibility testing. Experience with infrastructure-as-code or container technologies including Docker, Kubernetes, or Terraform. Contributions to open ...

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/ ...

TypeScript, JavaScript, Database Design, SQL, NoSQL, PostgreSQL, System Architecture, Technical Leadership, Engineering Strategy, Software Reliability, Performance Optimisation, Automation, DevOps, CI/CD, AWS, Azure, Google Cloud, Kubernetes, Docker, Open Source, GitHub, Research Engineering, Machine Learning Engineering, AI Engineering, Deep Learning, Mathematical Modelling, Competitive Programming, Hackathons, Research Projects, Technical Projects, Product ...

/HTTPS protocols, and proficiency in API documentation. Familiarity with server management, network configurations, and an understanding of cloud services (like AWS, Azure, or Google Cloud). Knowledge of various stages of the SDLC, including design, development, testing, and deployment. Knowledge of how to contribute to technical documentation Perks ...

KPIs and performance metrics across digital products and services. Knowledge of data governance, quality assurance, privacy, and security best practices. Hands-on experience with Google Analytics (GA4) and digital performance data. Excellent stakeholder management and communication skills. Desirable Experience Experience analysing customer acquisition, engagement, and retention within subscription-based ...

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 ...

distributions, statistical testing, regression analysis Cloud management and deployment – A strong background in different cloud platforms like Amazon AWS, Microsoft Azure, OpenStack Apache, and Google Cloud Platform Databases – A familiarity of working with different databases such as Postgres, MySQL, NoSQL (e.g., MongoDB), Redis is recommended. Web technologies – knowledge and experience ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

problem‐solving skills. Self‐starter with the ability to work independently. Experience working within Agile and DevOps environments. CISSP, AWS Security Specialty or Google Professional Cloud Security Engineer desirable. Core Competencies Demonstrates expertise in designing and implementing IAM security controls aligned with cloud security standards, utilizing AWS and GCP services. ...

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 ...

breadth across every industry, every enterprise technology stack, and every level of organizational complexity – combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams, structured AI certification pathways, and a clear development track toward agentic and forward‐deployed engineering. Key Responsibilities Use AI coding assistants daily ...

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 ...

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 dont already have one, youll ...

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 ...

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 ...