601 to 625 of 1,482 GCP Jobs in England

At IBM CIC, we deliver deep technical and industry expertise to a wide range of public and private sector clients in the UK. A career in IBM CIC means you'll have the opportunity to work with visionaries across multiple More ❯

dashboards, maps) using tools such as Chart.js, D3.js, or similar. Ensure high-quality, reliable code through testing, documentation, and code reviews. Deploy and manage services in Google Cloud Platform (GCP), using Cloud Run, Kubernetes, and other cloud-native tooling. Collaborate with data scientists, analysts, and fellow engineers to deliver impactful software. Provide technical leadership, mentoring, and best practices within the … with TypeScript, RxJS, and integrating component libraries. Strong understanding of REST APIs, asynchronous data handling, and full stack integration. Hands-on experience deploying and operating cloud-native applications in GCP, including Cloud Run, Kubernetes, containerisation (Docker), and related tooling. Proven ability to design and deliver data-intensive applications with interactive visualizations. Experience with Git, CI/CD pipelines, automated testing More ❯

dashboards, maps) using tools such as Chart.js, D3.js, or similar. Ensure high-quality, reliable code through testing, documentation, and code reviews. Deploy and manage services in Google Cloud Platform (GCP), using Cloud Run, Kubernetes, and other cloud-native tooling. Collaborate with data scientists, analysts, and fellow engineers to deliver impactful software. Provide technical leadership, mentoring, and best practices within the … with TypeScript, RxJS, and integrating component libraries. Strong understanding of REST APIs, asynchronous data handling, and full stack integration. Hands-on experience deploying and operating cloud-native applications in GCP, including Cloud Run, Kubernetes, containerisation (Docker), and related tooling. Proven ability to design and deliver data-intensive applications with interactive visualizations. Experience with Git, CI/CD pipelines, automated testing More ❯

Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic systems into the wider … with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes More ❯

Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic systems into the wider … with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes More ❯

Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic systems into the wider … with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes More ❯

Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic systems into the wider … with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes More ❯

Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic systems into the wider … with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes More ❯

of Node.js is a bonus Strong experience with CI/CD pipelines ( GitHub Actions , Jenkins , or Harness ) Experience with Docker and Kubernetes Cloud platform exposure - ideally Google Cloud Platform (GCP) , but AWS or Azure also welcome A strong understanding of automated testing frameworks such as Jest , Cypress , or Pact A commitment to delivering maintainable, well-tested, and high-quality code More ❯

on large-scale projects. Deep understanding of cloud-native big data technologies . Strong foundation in software engineering principles and design best practices . Experience with cloud platforms (AWS, GCP, etc.) and/or database internals such as query optimization. Contributions to open-source projects are highly desirable. Experience with Docker and Kubernetes is a plus. Passion for writing high More ❯

on large-scale projects. Deep understanding of cloud-native big data technologies . Strong foundation in software engineering principles and design best practices . Experience with cloud platforms (AWS, GCP, etc.) and/or database internals such as query optimization. Contributions to open-source projects are highly desirable. Experience with Docker and Kubernetes is a plus. Passion for writing high More ❯

on large-scale projects. Deep understanding of cloud-native big data technologies . Strong foundation in software engineering principles and design best practices . Experience with cloud platforms (AWS, GCP, etc.) and/or database internals such as query optimization. Contributions to open-source projects are highly desirable. Experience with Docker and Kubernetes is a plus. Passion for writing high More ❯

on large-scale projects. Deep understanding of cloud-native big data technologies . Strong foundation in software engineering principles and design best practices . Experience with cloud platforms (AWS, GCP, etc.) and/or database internals such as query optimization. Contributions to open-source projects are highly desirable. Experience with Docker and Kubernetes is a plus. Passion for writing high More ❯

on large-scale projects. Deep understanding of cloud-native big data technologies . Strong foundation in software engineering principles and design best practices . Experience with cloud platforms (AWS, GCP, etc.) and/or database internals such as query optimization. Contributions to open-source projects are highly desirable. Experience with Docker and Kubernetes is a plus. Passion for writing high More ❯

partnership with cloud providers. This role requires a commitment to continuous improvement and agility in adapting services to evolving cloud capabilities. Experience with hybrid and multi-cloud environments (AWS, GCP). Relevant certifications (not essential), e.g., Azure Solutions Architect Expert, Azure AI Engineer, CISSP. The Organisation: Capita Technical Operations Delivery is a global shared service, responsible for delivering innovation and More ❯

production issues and integrating third-party platforms. You will play a hands-on role in keeping systems secure, stable, and evolving. You ll work with modern cloud stacks including GCP and AWS, collaborating closely with non-technical stakeholders, turning ideas into elegant solutions. Role: S oftware Developer, Full Stack Software Engineer, Platform Engineer, Full Stack Engineer, Full Stack Developer, .Net More ❯

production issues and integrating third-party platforms. You will play a hands-on role in keeping systems secure, stable, and evolving. You'll work with modern cloud stacks including GCP and AWS, collaborating closely with non-technical stakeholders, turning ideas into elegant solutions. Role: S oftware Developer, Full Stack Software Engineer, Platform Engineer, Full Stack Engineer, Full Stack Developer, .Net More ❯

within AI/ML Engineer Strong background in AI/ML Engineering Python expertise Knowledge of ML libraries such a PyTorch or TensorFlow Cloud platform experience (AWS, Azure or GCP) Experience working in production environments, shipping and building products This role is a hybrid role with 2-days a week required in Central London offices Base salary of £80k-£150k More ❯

bases and provide ad-hoc support to Immuta's internal teams. Maintain competency in Immuta's technical adjacencies, including data platforms (Snowflake, Databricks, Starburst), commercial cloud offerings (AWS, Azure, GCP), IDM systems, and data catalog tools. WHAT YOU'LL BRING U.S. Citizenship with an Active TS/SCI with Polygraph is required due to the nature of our contracts. 5+ More ❯

backup for the Platform team manager when needed. We are looking for: Deep understanding of the Windows Server and Linux operating system Expert understanding of cloud platforms - Azure (preferred), GCP and AWS Expert knowledge of M365 Strong knowledge in Identity Management - Active Directory, EntraID, Azure AD Connect Confident in the build/configuration/management of HPe hardware Good understanding More ❯

Advanced proficiency in SQL and intermediate Python skills Proven experience with Power BI for data visualisation Hands-on experience with cloud-based platforms and data warehousing tools (e.g., Google Cloud Platform, Big Query) Proven experience analysing financial and economic datasets in a business environment Proven experience working within financial services Expertise in data cleaning, reconciliation, and investigation for accurate reporting More ❯

solid understanding of capital markets and post-trade processes, including clearing, settlement, and reconciliation. Technical Breadth: Significant experience with distributed systems, cryptography, and cloud infrastructure (AWS/Azure/GCP). An Entrepreneurial Spirit: You are comfortable with ambiguity and possess the drive to navigate technical challenges and prove the viability of a new solution. Bonus points if you have More ❯

solid understanding of capital markets and post-trade processes, including clearing, settlement, and reconciliation. Technical Breadth: Significant experience with distributed systems, cryptography, and cloud infrastructure (AWS/Azure/GCP). An Entrepreneurial Spirit: You are comfortable with ambiguity and possess the drive to navigate technical challenges and prove the viability of a new solution. Bonus points if you have More ❯

solid understanding of capital markets and post-trade processes, including clearing, settlement, and reconciliation. Technical Breadth: Significant experience with distributed systems, cryptography, and cloud infrastructure (AWS/Azure/GCP). An Entrepreneurial Spirit: You are comfortable with ambiguity and possess the drive to navigate technical challenges and prove the viability of a new solution. Bonus points if you have More ❯

solid understanding of capital markets and post-trade processes, including clearing, settlement, and reconciliation. Technical Breadth: Significant experience with distributed systems, cryptography, and cloud infrastructure (AWS/Azure/GCP). An Entrepreneurial Spirit: You are comfortable with ambiguity and possess the drive to navigate technical challenges and prove the viability of a new solution. Bonus points if you have More ❯