251 to 275 of 830 GCP Jobs in the UK excluding London

Geometry. Opportunities: Frontend or Backend Tech Stack within the engineering environment: Backend: Python, FastAPI, Pydantic, PostgreSQL, Docker Frontend: React, TypeScript, Vite Infrastructure: GitHub Actions, GCP, Kubernetes (optional) Paradigms: Functional programming, async APIs, event-driven architecture Responsibilities Build and maintain backend services using FastAPI and Python for geometry, simulation, and data ...

that fully defines the approach, environment, scope, risks and resources required. Experience of delivering within an Agile methodology. Cloud testing approaches and methodology, especially GCP, but also AWS, Azure, Entra, Ali Cloud and other systems such as ServiceNow, AD, ADLDS Some knowledge of JMeter, Gatling, LoadRunner, NeoLoad or similar tools ...

designing and delivering enterprise infrastructure solutions across cloud and on-premises environments. - Hands-on experience with at least one public cloud (AWS, Azure, or GCP) and strong understanding of cloud-native services and architectures. - Solid background in networking (routing, switching, LB, VPN, DNS), virtualization (VMware, Hyper-V), and storage technologies. ...

Data product or SaaS company You have indepth technical knowledge of Python for data workflows, SQL and Data Modelling, DBT, Cloud platforms (AWS, GCP or Azure), Workflow Orchestration tools (e.g. Airflow, Dagster, Prefect, DBT Cloud), CI/CD (GitHub Actions, GitLab CI, CircleCI) You have experience of leading technical deployments ...

years of professional experience. Deep understanding of the Android ecosystem. Cloud & Architecture (Must Have): Experience working with at least one major cloud provider (AWS, GCP, or Azure) and a solid grasp of system architecture (designing APIs, selecting databases, and high-level system flow). While you don't need ...

/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data governance, data sharing across security domains, and data usage for AI/ML. Excellent analytical and problem-solving ...

/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data governance, data sharing across security domains, and data usage for AI/ML. Excellent analytical and problem-solving ...

/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data governance, data sharing across security domains, and data usage for AI/ML. Excellent analytical and problem-solving ...

/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data governance, data sharing across security domains, and data usage for AI/ML. Excellent analytical and problem-solving ...

/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data governance, data sharing across security domains, and data usage for AI/ML. Excellent analytical and problem-solving ...

data science , machine learning, and predictive modelling. Background in data engineering (ETL pipelines, streaming tech like Kafka). Familiarity with cloud platforms (AWS, Azure, GCP). Excellent communication skills for technical and non-technical stakeholders. Exposure to financial services or willingness to learn fixed income and electronic trading. Typically ...

supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker ...

supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker ...

supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker ...

supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker ...

supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker ...

supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker ...

supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker ...

supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker ...

supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker ...

supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker ...

supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker ...

supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker ...

supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker ...

supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker ...