226 to 250 of 580 GCP Jobs in the UK excluding London

do Our projects are delivered with the support of specific, non-industry aligned Practice expertise, which includes: Applications, Infrastructure & Security Modernization (including: Enterprise Architecture; Cloud & Technology Modernization (AWS, Azure, GCP); CyberSecurity & Resilience; DevSecOps; Program Assurance) The business is building for growth and we are looking to expand our capabilities at Associate Director or Director level. What you need We’re More ❯

and scalability. About You : To thrive in this role, you will need : Strong knowledge of Python and APIs for effective data integration. Familiarity with cloud platforms, preferably Azure (AWS, GCP experience is also valuable). Experience managing large and complex datasets, with a strong command of SQL for cloud-based environments (Fabric, Snowflake, BigQuery, Redshift, etc.). A solid understanding More ❯

Specification: We're looking for someone with: Minimum 3 years' experience in a database developer/data engineer role Proficiency in SQL and Python Experience with cloud platforms (AWS, GCP, or Azure) Familiarity with data pipeline tools (e.g., SSIS, Spark) Strong grasp of data warehousing and data modelling principles Experience undertaking development work in C# Ability to create and troubleshoot More ❯

and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate More ❯

and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate More ❯

and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate More ❯

and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate More ❯

event-driven, API-first). Knowledge of integration technologies and platforms (REST, SOAP, message queues). Excellent stakeholder management and communication skills. Experience with cloud platforms (e.g. AWS, Azure, GCP) is highly desirable. Desirable: TOGAF or equivalent architectural certification. Background in Agile/DevOps environments. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the More ❯

and metrics literacy Nice to have: PhD or Master's in Computer Science, AI, or related fieldExperience with sports data, tracking systems, or analytics platformsFamiliarity with cloud platforms (AWS, GCP) and containerization (Docker) Why Apply? Work on high-impact, real-world projects where your algorithms will be deployed in live sports environmentsJoin a team passionate about research, innovation, and continuous More ❯

engineering, specifically in the context of generative AI and machine learning applications. Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best More ❯

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 ❯

developers to deliver quality features on time. Maintain high standards of security, scalability, and performance for a global user base. Deploy, monitor, and maintain applications on Google Cloud Platform (GCP) and AWS . Participate in agile ceremonies, using Jira to manage tasks and sprints. Communicate clearly and confidently with colleagues, stakeholders, and clients. Essential Skills & Experience Proven experience delivering multi …/Django) and/or JavaScript (Node.js, Vue.js, React). Solid database experience ( PostgreSQL/MySQL/MongoDB ) with strong relational design and optimisation skills. Hands-on experience with GCP and AWS for cloud hosting, deployment, and scaling. Comfortable working with Jira in an agile delivery environment. Excellent communication skills and the ability to clearly explain complex technical ideas. Thrives More ❯

developers to deliver quality features on time. Maintain high standards of security, scalability, and performance for a global user base. Deploy, monitor, and maintain applications on Google Cloud Platform (GCP) and AWS . Participate in agile ceremonies, using Jira to manage tasks and sprints. Communicate clearly and confidently with colleagues, stakeholders, and clients. Essential Skills & Experience Proven experience delivering multi …/Django) and/or JavaScript (Node.js, Vue.js, React). Solid database experience ( PostgreSQL/MySQL/MongoDB ) with strong relational design and optimisation skills. Hands-on experience with GCP and AWS for cloud hosting, deployment, and scaling. Comfortable working with Jira in an agile delivery environment. Excellent communication skills and the ability to clearly explain complex technical ideas. Thrives 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 ❯

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 ❯

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 ❯

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 ❯

Engineering Manager (Java) Role (2+ years exp in Tech Lead or Engineering Manager role) Tech Stack: Essential: Java 8+, Spring MVC, SpringBoot, REST API, Desirable: AWS/Azure/GCP, Microservices, Docker, Mockito/Junit, Grafana, ELK, Kubernetes Award-Winning UK based FinTech Company Surrey- Hybrid - 4 days onsite/1 day WFH £80,000 - £90,000 (Depending on Experience More ❯

ideally TOGAF or similar frameworks. Solid understanding of financial services and regulatory environments. Ability to communicate complex technical concepts to non-technical stakeholders. Experience with cloud platforms (Azure, AWS, GCP) and modern data ecosystems. What's on Offer: Competitive salary up to £120,000 plus bonus and benefits. Hybrid working model with flexibility. Opportunity to lead transformative AI initiatives in More ❯