501 to 525 of 2,456 Google Jobs in England

tech for the right task, you can expect to work with the following technologies to ensure scalable, high-performance applications: Cloud & Platforms: AWS, Azure, Google Cloud Platform, IBM, Oracle, Salesforce Architecture & Delivery: Microservices, packaged solutions, cloud/on‐premise models, agile delivery, digital transformation Tools & Frameworks: IoT, cloud‐native architectures ...

strengthening qualification and guiding stakeholders toward alignment on a clear delivery path (Aligned Solution Win). Have hands‐on experience with cloud platforms: AWS, Google Cloud, Microsoft Azure & Operating Systems (Windows, MacOS, Linux) and cloud application architecture. Be detail-oriented and organised, with strong project management skills. Have general knowledge ...

confirm behaviour changes as expected. Maintain compliance and policy alignment across privacy and platform requirements, including GDPR, CCPA/CPRA, Apple App Store, and Google Play policies. Drive pragmatic adoption of AI-augmented workflows across coding, QA, and data analysis, with clear guardrails for safety, privacy, security, and verification. Stay ...

models we can trust Document modelling decisions, trade-offs, and outcomes clearly Wrangle and integrate data from multiple third-party sources (e.g. Amplitude, Segment, Google Ads) Data Quality, Trust & Operations: Help build and maintain the "trust infrastructure" — tests, data contracts, and observability — that lets the business depend on our models ...

general audience.Helpful, but not required: published vulnerability findings; security research on AI agents, large language model applications, or Model Context Protocol (MCP) servers; Google Cloud Platform experience; or infrastructure as code experience with Terraform or OpenTofu.You don’t need deep knowledge of compilers or static application security testing engines. ...

continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. AI Disclosure: We use AI tools (Google Gemini) to help our team source and review applications for roles with a high volume of applications. These tools assist our recruiters in identifying great ...

distinct advantage.Extensive hands-on experience with Generative AI concepts, Large Language Models (LLMs), transformer architectures, RAG, and advanced agentic frameworks (e.g., LangChain, LangGraph, Google ADK. Optionally AutoGen, CrewAI, LlamaIndex, Semantic Kernel).Deep comfort and practical experience with containers and orchestration technologies, specifically OpenShift.Demonstrated ability to architect, develop, and deploy highly ...

continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have.AI Disclosure: We use AI tools (Google Gemini) to help our team source and review applications for roles with a high volume of applications. These tools assist our recruiters in identifying great talent ...

buying behaviors, cultural nuances, and local market trends. Competitive Displacement: Proven success in displacement selling against legacy or alternative solutions (e.g., Microsoft, Notion, or Google Workspace). Financial Modeling: Experience building complex ROI analyses, case studies, and TCO models to articulate value to economic buyers. Benefits & Perks Atlassian offers ...

Marketing Strong background in the management and manipulation of B2B marketing data: Data object mapping Data quality and integrity/Data enrichment Advanced knowledge Google Sheets and Excel (including formulas) Data arcthitectire An analytical and inquisitive approach to marketing data Experience in interpreting data analysis outputs that can feedback into ...

continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. AI Disclosure: We use AI tools (Google Gemini) to help our team source and review applications for roles with a high volume of applications. These tools assist our recruiters in identifying great ...

cloud first technologies; we are Azure based, with PostgreSQL and MongoDB as our primary data stores and a multi-provider LLM stack (OpenAI, Google Gemini and Anthropic). We want you to dive in, get your hands dirty, and figure things out, but also to be someone your team ...

built ETL at scale with performance and cost in mind. BigQuery experience is a big plus. You have production experience with Google Cloud Platform. You have hands-on platform experience with containers, Kubernetes and Helm. You don't need to write charts from scratch, but you've changed them ...

accelerator infrastructure. Programming Proficiency: Strong programming skills, with high proficiency in Python or Go. Preferred qualifications Familiarity with ML infrastructure nuances: Nvidia GPUs, Google TPUs, gang scheduling, or collective networking. Previous experience in High-Performance Computing or maximizing utilization in environments with fixed/committed hardware constraints. Familiarity with ...

Flask API;Team Tech Stack Our current technology stack primarily includes Linux, Docker, Kubernetes, Jenkins, Kafka, Python, Flask/FastAPI, Postgres, AWS Redshift, dbt, Google Bigquery, Prometheus, Grafana, Elastic Search, Kibana, Lightdash.About the Role:You will work very closely with the Data team lead and the other team members ...

centered around Large Language Models.ML Infrastructure: Experience setting up the underlying hardware or orchestration for ML systems.GCP: Prior experience building and deploying systems on Google Cloud (GCP).Scientific Domain: Interest or experience in biology, chemistry, or drug discovery; an interest in applying AI to scientific discovery.Fast-Moving Tooling: Familiarity with ...

Flask API; Team Tech Stack Our current technology stack primarily includes Linux, Docker, Kubernetes, Jenkins, Kafka, Python, Flask/FastAPI, Postgres, AWS Redshift, dbt, Google Bigquery, Prometheus, Grafana, Elastic Search, Kibana, Lightdash. About the Role: You will work very closely with the Data team lead and the other team members ...

Large Language Models. ML Infrastructure: Experience setting up the underlying hardware or orchestration for ML systems. GCP: Prior experience building and deploying systems on Google Cloud (GCP). Scientific Domain: Interest or experience in biology, chemistry, or drug discovery; an interest in applying AI to scientific discovery. Fast-Moving Tooling ...

leaders in Europe to tackle this growing market. Our tight-knit team is made up of ex-Revolut, Bain, HelloFresh, ASOS, Apple and Google employees, and we are backed by some of Europe’s leading investors and VCs in climate-tech, logistics and mobility including Planet A Ventures, Maersk Growth ...

while making a meaningful contribution from day one. Depending on your pathway, you could gain exposure to cloud platforms such as AWS, Azure and Google Cloud, programming languages including Java, C#, Python, data platforms, automation tools and cyber security technologies. Successful participants typically progress into specialist technology roles aligned ...

work within a unified global operating unit across 40+ markets. WPP Enterprise Solutions works alongside best-in-class partners including Adobe, AWS, Braze, Google, Microsoft, Salesforce, and Shopify, as well as innovators in AI, to deliver growth solutions tailored to the needs of our clients’ businesses. VML, part ...

while making a meaningful contribution from day one. Depending on your pathway, you could gain exposure to cloud platforms such as AWS, Azure and Google Cloud, programming languages including Java, C# and Python, data platforms, automation tools and cyber security technologies. Successful participants typically progress into specialist technology roles aligned ...

Memory Engineering: Leverage Zendesk's Context Graph (operational memory layer) and Knowledge Graph connectors to integrate unstructured, federated enterprise data sources (e.g., SharePoint, Confluence, Google Drive) into the customer’s AI ecosystem without data migration. Cross-Functional Leadership & Delivery The "Road to 80%" Methodology: Lead the critical technical hand ...

Required Technical Skills & Experience Technical Core Cloud Platforms: Proven hands-on experience designing and securing cloud infrastructures within AWS, and ideally with Azure and Google Cloud Platform. SIEM & Detection: Experience in supporting analysts in the creation of Splunk (SPL) detection rules. Data Tools & Protocols: Hands-on experience with Cribl, Kinesis ...

defined workstream, coordinating activities, and managing delivery against agreed outcomes would be advantageous. Experience working with cloud environments, such as AWS, Azure, or Google Cloud, and an understanding of common platform services, including storage, compute, identity and access management, and networking, would be advantageous. The ability to work directly with ...