426 to 450 of 1,645 GCP Jobs in the UK excluding London

database services. Experience leading BEC investigations Conduct in‐depth digital forensic analysis of data extracted from cloud environments such as AWS, Microsoft Azure, and GCP Continuously learning and staying informed of the changing threat landscape Proven track record of successful neutralization and remediation of ransomware threats Excellent understanding ...

Proficiency with Linux/Unix command line for diagnostics, configuration, and validation. Experience working across virtualisation platforms (VMware, VirtualBox) and cloud environments (AWS, Azure, GCP). Infrastructure as Code (IaC) Terraform: writing/validating HCL, managing state, using modules. Ansible: building playbooks/roles, inventories, and validating idempotency. Kubernetes: deploying ...

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, UML, ArchiMate Additional ...

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, UML, ArchiMate Additional ...

ideally consulting/financial services) – salary and level will reflect experience. Proficiency in Python (pandas, numpy) Professional experience with Azure cloud services (AWS/GCP acceptable with deeper experience) Strong experience deploying clean, maintainable, production-level code. Basic understanding of DAG (Directed Acyclic Graphs) and their role in pipeline orchestration ...

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, UML, ArchiMate Additional ...

expect applicants to have experience with all of these):Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing.Discover more about our Analytics Community in our blog and explore ...

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, UML, ArchiMate #LI ...

using a source control product like GitLab or GitHub. Proven experience designing and implementing scalable data architectures in a cloud environment (e.g., AWS, Azure, GCP). In-depth knowledge of modern data modeling techniques (dimensional, relational, etc.) and cloud data warehousing principles. Expertise with cloud data warehouse solutions such ...

demand. Build AI product UX patterns (streaming, review loops, provenance/citations, long-running tasks, error-recovery) Cloud & DevOps: Azure (App Services, OpenAI, AKS), GCP (Vertex AI, Cloud Run), Docker, GitHub Actions, Azure DevOps, RBAC and Cost Controls. Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality ...

maintaining complex AI/ML solutions, modern AI frameworks (such as Python, TensorFlow, PyTorch, or LangChain), and cloud-native AI platforms (AWS, Azure, or GCP).Distributed Systems Mastery: Deep technical capability in structuring data platforms, data pipelines, and high-throughput distributed systems (like Spark or Kafka) optimized for performance ...

maintaining complex AI/ML solutions, modern AI frameworks (such as Python, TensorFlow, PyTorch, or LangChain), and cloud-native AI platforms (AWS, Azure, or GCP).Distributed Systems Mastery: Deep technical capability in structuring data platforms, data pipelines, and high-throughput distributed systems (like Spark or Kafka) optimized for performance ...

BigQuery. We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them): Google Cloud Platform for all of our analytics infrastructure dbt and BigQuery SQL for our data modelling and warehousing Python for data science Go to write ...

Python, R, or C-Sharp. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Experience with cloud platforms (AWS, GCP, Azure), experience with Azure a plus. Experience leveraging AI code-writing assistants (e.g., GitHub Copilot, Claude Code, Codex) with appropriate engineering controls (code review, testing, security ...

spanning cloud platforms, application and integration architecture, APIs, data, and AI.Familiarity with modern cloud-native platforms and patterns underpinning insurance modernisation (e.g. Azure, AWS, GCP; core insurance/data platforms; API-led integration).Strong grasp of data, analytics, and AI/ML, including AI-enabled and agentic operating models ...

Docker, Kubernetes, Helm, Serverless, GitOps and CDK. Penetration testing exposure. Snowflake, MongoDB, Databricks, GitHub and Terraform Cloud. Certifications Associate-level cloud certification (AWS, Azure, GCP or equivalent). Cyber security certification such as CySA+, CISA, GSEC, SSCP or Microsoft Security certifications. What You'll Bring Strong analytical and problem-solving ...

systems/personalisation, and increasingly, applied LLM/GenAI use cases, reflecting where the market is heading right now. Infrastructure: Cloud based (AWS/GCP/Azure, client dependent). What We're Looking For Strong commercial experience as a data scientist, with a proven track record of shipping models ...

part of data engineering teams and independently. Line/Team management experience, leadership experience Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working ...

. Proven experience with software architecture and system design . Experience with Docker, CI/CD pipelines, Git, and cloud platforms (AWS, Azure, or GCP) . Strong analytical and problem-solving skills. Ability to influence technical direction and work autonomously. Desirable Cybersecurity, malware analysis, threat detection, or security product experience. ...

. Proven experience with software architecture and system design . Experience with Docker, CI/CD pipelines, Git, and cloud platforms (AWS, Azure, or GCP) . Strong analytical and problem-solving skills. Ability to influence technical direction and work autonomously. Desirable Cybersecurity, malware analysis, threat detection, or security product experience. ...

data processing. Big Data Technologies: Hands-on experience with tools such as Databricks, Apache Spark, and Hadoop. Cloud Platforms: Familiarity with AWS, Azure, GCP, or other cloud ecosystems for data engineering tasks. Database Management: Expertise in relational databases (e.g. Postgres, SQL Server). Data Integration Tools: Knowledge of platforms like ...

TypeScript** for off-ledger components.Integration experience: **REST APIs, gRPC, Kafka, databases**.Familiarity with **Docker/Kubernetes** and cloud platforms (AWS/Azure/GCP).**Soft Skills:**Collaborative mindset, working with cross-functional teams.Excellent **problem-solving, analytical, and documentation skills**.**Good-to-Have:**Capital markets, post-trade workflows ...

Docker, Terraform, GitHub, Jenkins, development and deployment in a cloud environment SQL TDD/BDD Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) Experience in unit testing frameworks (Karma, Jasmine or others) Benefits Package and Benefits: Competitive Salary Bonus Scheme Private Healthcare Insurance 25 Days Annual ...

similar languages. Big Data Technologies: Hands-on experience with big data tools e.g. (Databricks, Apache Spark, Hadoop). Cloud Platforms: Familiarity with AWS, Azure, GCP, or other cloud ecosystems for data engineering tasks. Expertise in relational databases (e.g. postgres, sql server) Data Integration Tools: Knowledge of platforms like Airflow, Apache ...

Python, Java, Go, or Rust. • Strong problem-solving skills with a track record of resolving complex technical challenges. • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization tools (e.g., Docker, Kubernetes). • Ability to write clear technical documentation and communicate architectural decisions effectively. More About the Opportunity: This role ...