1 to 25 of 187 GCP Jobs in the South West

proficiency in one or more programming languages (e.g., Python, Java, JavaScript) and experience with software architecture patterns. Experience with cloud platforms (e.g., AWS, Azure, GCP) and infrastructure as code. Familiarity with CI/CD pipelines, automated testing, and modern software development practices. Knowledge of technologies such as microservices, containerisation (Docker ...

Solid experience with RESTful APIs, microservices, authentication/authorization, and database design (SQL/NoSQL). Strong understanding of cloud platforms (AWS, Azure, or GCP). Experience mentoring junior developers or leading small development teams. Familiarity with AI/ML frameworks, data pipelines, or integrating large language models/APIs. ...

Solid experience with RESTful APIs, microservices, authentication/authorization, and database design (SQL/NoSQL). Strong understanding of cloud platforms (AWS, Azure, or GCP). Experience mentoring junior developers or leading small development teams. Familiarity with AI/ML frameworks, data pipelines, or integrating large language models/APIs. ...

Solid experience with RESTful APIs, microservices, authentication/authorization, and database design (SQL/NoSQL). Strong understanding of cloud platforms (AWS, Azure, or GCP). Experience mentoring junior developers or leading small development teams. Familiarity with AI/ML frameworks, data pipelines, or integrating large language models/APIs. ...

multiple programming languages such as Python, JavaScript, or similar. Extensive experience writing well-tested code. Good knowledge of cloud platforms (e.g., AWS, Azure, GCP) and infrastructure as code Experience with CI/CD pipelines and automated testing frameworks. Experience with various architecture patterns eg microservices and event-driven. Experience with ...

GCP DevOps Engineer - AI Infrastructure (Financial Services) Location: London Contract Type: Full-time/Permanent 2 days required at Office and 3 from home per week £(Apply online only) DOE Join a forward-thinking financial services firm leveraging AI to transform decision-making and customer experiences. We're seeking … skilled GCP DevOps Engineer to architect and maintain cloud-native infrastructure that supports high-performance AI systems. This is a hands-on technical role with strategic impact across infrastructure, automation, and security. Key Responsibilities Infrastructure & Cloud Engineering Design, build, and manage scalable, resilient infrastructure on Google Cloud Platform (GCP) . ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

concepts to non-technical audiences Assessing applications for migration to the cloud, based on technical suitability Technical skills: Cloud platforms (AWS/Azure/GCP) Container technologies (e.g., Docker, Kubernetes) Infrastructure as code (Terraform, CloudFormation) Cloud automation and CI/CD DevOps practices and toolchains Linux and Windows system management ...

concepts to non-technical audiences Assessing applications for migration to the cloud, based on technical suitability Technical skills: Cloud platforms (AWS/Azure/GCP) Container technologies (e.g., Docker, Kubernetes) Infrastructure as code (Terraform, CloudFormation) Cloud automation and CI/CD DevOps practices and toolchains Linux and Windows system management ...

automation Advanced SQL (optimisation, analytical functions, modelling) ETL/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation Data warehousing fundamentals (star schema, staging patterns ...

automation Advanced SQL (optimisation, analytical functions, modelling) ETL/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation Data warehousing fundamentals (star schema, staging patterns ...

automation Advanced SQL (optimisation, analytical functions, modelling) ETL/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation Data warehousing fundamentals (star schema, staging patterns ...

based in the United Kingdom and able to work UK business hours Nice to Have TypeScript and frameworks like Next.js Experience with AWS, GCP or Azure and CI/CD pipelines Background in SaaS, marketplaces or HR tech Portfolio or GitHub with examples of production-level work How to Apply ...

based in the United Kingdom and able to work UK business hours Nice to Have TypeScript and frameworks like Next.js Experience with AWS, GCP or Azure and CI/CD pipelines Background in SaaS, marketplaces or HR tech Portfolio or GitHub with examples of production-level work How to Apply ...

based in the United Kingdom and able to work UK business hours Nice to Have TypeScript and frameworks like Next.js Experience with AWS, GCP or Azure and CI/CD pipelines Background in SaaS, marketplaces or HR tech Portfolio or GitHub with examples of production-level work How to Apply ...

based in the United Kingdom and able to work UK business hours Nice to Have TypeScript and frameworks like Next.js Experience with AWS, GCP or Azure and CI/CD pipelines Background in SaaS, marketplaces or HR tech Portfolio or GitHub with examples of production-level work How to Apply ...

based in the United Kingdom and able to work UK business hours Nice to Have TypeScript and frameworks like Next.js Experience with AWS, GCP or Azure and CI/CD pipelines Background in SaaS, marketplaces or HR tech Portfolio or GitHub with examples of production-level work How to Apply ...

Swarm. Understanding of containerized environments and their integration into CI/CD pipelines • Cloud Platforms: Familiarity with major cloud platforms like AWS, Azure, or GCP; understanding of cloud-specific services and how to integrate them into CI/CD processes • Monitoring and Logging: Knowledge of monitoring and logging tools such ...

Swarm. Understanding of containerized environments and their integration into CI/CD pipelines • Cloud Platforms: Familiarity with major cloud platforms like AWS, Azure, or GCP; understanding of cloud-specific services and how to integrate them into CI/CD processes • Monitoring and Logging: Knowledge of monitoring and logging tools such ...

Swarm. Understanding of containerized environments and their integration into CI/CD pipelines • Cloud Platforms: Familiarity with major cloud platforms like AWS, Azure, or GCP; understanding of cloud-specific services and how to integrate them into CI/CD processes • Monitoring and Logging: Knowledge of monitoring and logging tools such ...

Swarm. Understanding of containerized environments and their integration into CI/CD pipelines • Cloud Platforms: Familiarity with major cloud platforms like AWS, Azure, or GCP; understanding of cloud-specific services and how to integrate them into CI/CD processes • Monitoring and Logging: Knowledge of monitoring and logging tools such ...