1 to 25 of 203 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 ...

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 ...

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 ...

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 ...

automated testing) Experience with Git and modern CI/CD pipelines Excellent problem-solving and communication skills Desirable Experience with AWS, Azure, or Google Cloud Docker and Kubernetes experience Knowledge of event-driven architectures and message queues Exposure to data engineering, machine learning, or AI platforms Experience leading technical projects ...

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 ...

medical data science. Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn. Familiarity with cloud platforms including AWS, Azure, or Google Cloud. Experience with generative AI, large language models (LLMs), and retrieval-augmented generation (RAG). Technical Skills Python SQL Machine Learning MLOps Cloud Computing Data Engineering ...

/responsible‐AI credentials. Technical Certifications (preferred) Microsoft Azure AI Engineer Associate (AI‐102) or Azure Data Scientist Associate. AWS Machine Learning Specialty or Google Professional ML Engineer. Databricks (Data Engineer/ML Engineer) and Kubernetes (CKA/CKAD). Azure/AWS Solutions Architect; optional model‐risk/responsible ...

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 ...

within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam ...

academic background in a relevant field such as Computer Science or Data Science. NICE TO HAVE SKILLS Familiarity with cloud platforms, specifically GCP (Google Cloud Platform). Highly capable with Microsoft Excel and the wider MS Office suite, including experience with VBA. An understanding of deployment practices and CI/ ...

platform. This is a hands-on role with significant ownership and influence over technical direction. Design, build, and maintain a scalable trading platform on Google Cloud Platform Own and optimise deployment processes for reliability and performance Develop and manage services running within Kubernetes environments Build and scale infrastructure using Terraform ...

demonstrate experience across: Enterprise and solution architecture within complex organisations Cloud-based AI/ML platforms including Azure OpenAI, Azure ML, AWS Bedrock, SageMaker, Google Vertex AI, Databricks, Snowflake, Dataiku or similar technologies Designing scalable and cost-optimised AI solutions using serverless, containerised and Kubernetes-based environments Generative ...

datasets in cloud or distributed environments Cloud & Data Platforms Architectural knowledge or hands-on experience with one or more major data/AI platforms: Google Cloud Platform (GCP) Amazon Web Services (AWS) Microsoft Azure Databricks Agentic AI & Generative AI Experience with or interest in emerging Agentic and GenAI ecosystems, such ...

with Git version contro l.Strong understanding of Linux/Unix environment s.Experience developing scalable and distributed application s.Cloud & DevO psExperience with AWS, Azure, or Google Cloud Platfor m.Familiarity with Kubernetes and container orchestratio n.Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOp s.Knowledge ...

engineering expertise in Python, including backend development, automation, and infrastructure tooling Hands-on experience with at least one major cloud platform (AWS, Azure, or Google Cloud) Strong experience implementing Infrastructure as Code using tools such as Terraform or equivalent Experience designing and building authentication and authorisation systems, including modern identity ...

servers Proven experience with Cisco, Meraki & Palo Alto. Hands-on experience with Microsoft Azure, along with at least one other cloud platform (AWS or Google Cloud) Solid understanding of IP-based networking, including WAN technologies, virtualisation, cloud platforms, DHCP/DNS, Microsoft 365, and SAN/NAS storage solutions Experience ...

guidance Regulatory landscape including GDPR and PCI DSS Familiarity with HMG and NCSC standards Modern technology environments: Cloud platforms such as Azure, AWS and Google Cloud Microsoft 365 Infrastructure and network security Zero Trust principles Understanding of security architecture concepts Certifications Relevant industry certifications such as CISSP, CISM, CRISC ...

testing, and experimental design (A/B testing). Core Technical Skills: Good working knowledge of SQL for data extraction and analysis (experience with Google BigQuery is a plus), and some experience using Python or R for analysis, modelling, or data manipulation. Analytical Methods: Exposure to analytical or modelling techniques ...

attribution methodologies. Working with web analytics data for commercial decisioning. Web analytics platforms such as GA4 or Adobe Analytics. Tag management systems such as Google Tag Manager. Programming languages such as SQL, Python and/or R. Written and verbal, communication skills with an ability to make complex analysis understood. ...

reporting solutions. Your Profile Experience in a Data Engineer, Analytics Engineer or similar technical role. Strong SQL and Python skills. Hands-on experience with Google BigQuery and cloud platforms. Experience integrating Salesforce CRM and marketing data. Understanding of marketing, media, martech and performance measurement. Strong project management, communication and problem ...