26 to 50 of 3,054 GCP Jobs in the UK

engineering community.Preferred Skills:Proven experience designing, building, and maintaining cloud-based platforms and infrastructure, with a strong focus on Google Cloud Platform (GCP).Hands-on experience with GCP services such as Compute Engine, Cloud Storage, VPC, IAM, Cloud Functions, and GKE (Google Kubernetes Engine).Proficient in Infrastructure as Code … using tools such as Terraform (including for GCP) or Deployment Manager.Strong background in CI/CD pipeline design and automation using tools like Jenkins, GitLab CI, Cloud Build, or similar.Proficiency in scripting languages (e.g., Python, Bash, Go).Experience with containerisation and orchestration (Docker, Kubernetes, GKE).Solid understanding of networking, security ...

engineering community.Preferred Skills:Proven experience designing, building, and maintaining cloud-based platforms and infrastructure, with a strong focus on Google Cloud Platform (GCP).Hands-on experience with GCP services such as Compute Engine, Cloud Storage, VPC, IAM, Cloud Functions, and GKE (Google Kubernetes Engine).Proficient in Infrastructure as Code … using tools such as Terraform (including for GCP) or Deployment Manager.Strong background in CI/CD pipeline design and automation using tools like Jenkins, GitLab CI, Cloud Build, or similar.Proficiency in scripting languages (e.g., Python, Bash, Go).Experience with containerisation and orchestration (Docker, Kubernetes, GKE).Solid understanding of networking, security ...

Qualifications, Capabilities, and Skills:Formal training or certification on software engineering concepts.Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP).Advanced knowledge of containerization and orchestration platforms (Docker, Kubernetes, ECS, etc.).Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within ...

underpin AI-driven transformation. Your responsibilities will include:Designing and delivering secure, scalable and cost-effective cloud-native data platforms across AWS, Azure and GCP to support analytics, AI and operational workloads.Leading cloud transformation initiatives, migrating legacy environments to modern data platforms including Snowflake, Databricks, BigQuery, Synapse, Redshift and other … Architect, Principal Data Architect, Data Engineering Consultant, Cloud Architect, AI Platform Architect, Data & AI Consultant, Data Solutions Architect, Azure Data Architect, AWS Data Architect, GCP Data Architect, Data Engineering Lead, Solution Architect, Snowflake, Databricks, Synapse, BigQuery, Redshift, AWS, Azure, Google Cloud Platform (GCP), Terraform, CloudFormation, ARM Templates, DevOps, CI/ ...

engineers and providing technical leadership Strong analytical and problem-solving abilities Experience working within Agile delivery environments Desirable Experience: Cloud certifications (Azure, AWS, or GCP) TOGAF, DAMA CDMP, or Data Engineering certifications Experience with AI/ML platforms or MLOps Exposure to Data Mesh or Data Fabric architectures Enterprise Architecture ...

Experience developing solutions within secure or regulated environments. Desirable Skills & Experience Experience deploying and managing applications in cloud environments. Experience with Google Cloud Platform (GCP) Experience with AWS or Azure cloud services. Knowledge of containerisation technologies such as Docker and Kubernetes. If you receive suspicious outreach claiming to be from ...

programming languages Deployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration tools (Docker, Kubernetes) to operate, support, and secure mission-critical applications … Previous experience deploying and managing LLM-model based applications and agents Exposure to vector stores such as Pinecone, GCP RAG engine, and AWS S3 Vector Buckets Exposure to cloud-native microservices architecture Familiarity with advanced AI/ML concepts and protocols, including Retrieval-Augmented Generation (RAG), agentic system architectures ...

programming languages Deployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration tools (Docker, Kubernetes) to operate, support, and secure mission-critical applications … Previous experience deploying and managing LLM-model based applications and agentsExposure to vector stores such as Pinecone, GCP RAG engine, and AWS S3 Vector BucketsExposure to cloud-native microservices architectureFamiliarity with advanced AI/ML concepts and protocols, including Retrieval-Augmented Generation (RAG), agentic system architectures, and Model Context Protocol ...

programming languages Deployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration tools (Docker, Kubernetes) to operate, support, and secure mission-critical applications … Previous experience deploying and managing LLM-model based applications and agents Exposure to vector stores such as Pinecone, GCP RAG engine, and AWS S3 Vector Buckets Exposure to cloud-native microservices architecture Familiarity with advanced AI/ML concepts and protocols, including Retrieval-Augmented Generation (RAG), agentic system architectures ...

programming languages Deployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration tools (Docker, Kubernetes) to operate, support, and secure mission-critical applications … Previous experience deploying and managing LLM-model based applications and agents Exposure to vector stores such as Pinecone, GCP RAG engine, and AWS S3 Vector Buckets Exposure to cloud-native microservices architecture Familiarity with advanced AI/ML concepts and protocols, including Retrieval-Augmented Generation (RAG), agentic system architectures ...

programming languages Deployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration tools (Docker, Kubernetes) to operate, support, and secure mission-critical applications … Previous experience deploying and managing LLM-model based applications and agents Exposure to vector stores such as Pinecone, GCP RAG engine, and AWS S3 Vector Buckets Exposure to cloud-native microservices architecture Familiarity with advanced AI/ML concepts and protocols, including Retrieval-Augmented Generation (RAG), agentic system architectures ...

DescriptionRole – AI Evangelist (Senior Technology Architect) Technology – AI/ML/Gen AI, Data Science, Poly Cloud – Azure, AWS, GCP Location – London – UKBusiness Unit – TOPAZDLVRYCompensation – Competitive (including bonus)Job Summary: We are seeking a highly skilled and experienced Senior Architect/Consultants to lead our Generative AI Technologies team. ...

processes for AI/ML systems in production environments supporting large user bases Understanding of IT platforms i,e cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc Deep understanding ...

London, GBR • Professional Services DescriptionJob Title: Strategic DevSecOps ConsultantJob Type: Full TimeLocation: UK, London - HybridAbout CloudBeesCloudBees enables enterprises to deliver scalable, compliant, and secure software, empowering developers to do their best work. Seamlessly integrating into ...

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And ...

Understanding of REST APIs, distributed systems, and database design Familiarity with SQL and NoSQL databases Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch ...

Understanding of REST APIs, distributed systems, and database design Familiarity with SQL and NoSQL databases Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch ...

generating change as reviewable pull requests. Cloud‐native platforms and their primitives: Kubernetes, containers (Docker/OCI), and at least one of AWS, GCP, or Cloud Foundry/VCF. CI/CD and automated deployment pipelines. Designing validation and guardrails for automated change, testing, verification, and safe rollback. ...

Over the last 20 years, Ares’ success has been driven by our people and our culture. Today, our team is guided by our core values – Collaborative, Responsible, Entrepreneurial, Self-Aware, Trustworthy – and our purpose to ...

Over the last 20 years, Ares’ success has been driven by our people and our culture. Today, our team is guided by our core values – Collaborative, Responsible, Entrepreneurial, Self-Aware, Trustworthy – and our purpose to ...

REST APIs , microservices architecture, and integration patterns Solid understanding of software development lifecycle (SDLC) and Agile practices Experience with cloud platforms (AWS, Azure, or GCP) Proficiency in JavaScript and at least one modern front-end framework Experience with CI/CD tools (e.g., Jenkins, GitHub Actions, Azure DevOps) Familiarity with ...

environmentsExperience with REST APIs, microservices architecture, and integration patternsSolid understanding of software development lifecycle (SDLC) and Agile practicesExperience with cloud platforms (AWS, Azure, or GCP)Proficiency in JavaScript and at least one modern front-end frameworkExperience with CI/CD tools (e.g., Jenkins, GitHub Actions, Azure DevOps)Familiarity with monitoring ...

Location: London, hybrid. 1 to 2 days per week in the office, flexible working around that Contract: Full-time, permanent Salary: £60,000 to £80,000 depending on experience Hours: UK working hours, with daily ...

hygiene, and traceability.NotebookLM/Gemini for research workflows where permitted; govern enterprise knowledge ingestion.Architecture & Integration: Distributed systems, microservices, cloud‐native (Azure/AWS/GCP); secure API design (REST/GraphQL).MLOps & AIOps: CI/CD for AI, model lifecycle (eval, versioning, rollout/rollback), guardrails, telemetry, drift monitoring, prompt ...

Consultants have access to a vast array for different training and certifications in a variety of areas: Cybersecurity (CISSP, CISM), cloud technologies (AWS, Azure, GCP), and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge in technical ...