26 to 50 of 1,146 GCP Jobs in the UK

with a good understanding of MLOps practices including CI/CD pipelines, model versioning, and monitoring. \n Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI tools such as SageMaker, Vertex AI, or Azure ML Studio. \n Working knowledge of containerization technologies (e.g., Docker) and orchestration tools ...

software development methodologies such as Agile, TDD, and DevOps. Extensive experience writing well-tested code. Good knowledge of cloud platforms(e.g. Azure, AWS, GCP) and infrastructure as code(Terraform) Experience with CI/CD pipelines and automated testing frameworks. Experience with various architecture patterns, e.g. microservices and event-driven. Experience ...

e.g., Pinecone, FAISS, Milvus). Proven hands on experience delivering and monitoring production grade AI/ML systems on cloud platforms such as AWS, GCP or Azure, ensuring ethical, legal and regulatory compliance. Hands on experience with ML tooling and infrastructure such as MLflow, Snowflake, Databricks, SageMaker or Azure Machine ...

London Office number 02031552100/+44 204 520 2575 with the subject line: “Application Support Request”. Are you an expert in Google Cloud Platform and DevOps Technologies? We have an interesting role for you - GCP DevOps Engineer Careers at TCS: It means mor eTCS is a purpose-led transformation … cloud infrastructure on Google Cloud Platform (GCP ). Your responsibilitie s: Design, implement, and manage CI/CD pipelines and cloud infrastructure on Google Cloud Platform (GC P).Collaborate with development and operations teams to automate deployments, monitor system performance, and ensure high availability and scalability of applicatio ns.Build secure ...

Data Engineer-Must have strong GCP experience-Inside IR35 Data Engineer (GCP) We are working with a client delivering a large-scale Data Strategy programme and are looking for a skilled Data Engineer to help shape the next generation of their data platform . You will play a key role … designing and building scalable, resilient and reusable data pipelines on Google Cloud Platform (GCP), enabling faster and more reliable data delivery across multiple product teams. This is a great opportunity for someone who combines strong technical expertise with a collaborative approach, and enjoys working in complex, enterprise-scale environments with ...

thorough understanding of system design and engineering principles.\ N\n You have expertise in leveraging cloud services from providers like AWS or GCP, and have used your platform engineering skills to develop robust, scalable, and efficient infrastructure.\ N\n You have strong knowledge of SQL and/or NoSQL database ...

event‐driven architecture. Hands‐on experience with GitHub Actions, CI/CD, DevOps automation, and Infrastructure‐as‐Code. Experience with Azure/AWS/GCP cloud platforms. Strong knowledge of Kubernetes, containerization, and cloud‐native platforms. Deep understanding of Data Mesh, Data Governance, Security, and Compliance. Experience with observability, monitoring ...

workflows. Hands‐on experience with machine learning frameworks such as scikit‐learn, TensorFlow, PyTorch, or similar. Strong experience with cloud platforms (AWS, Azure, or GCP) and building cloud‐native systems. Experience with modern data platforms such as Snowflake, BigQuery, or Databricks. Familiarity with Infrastructure as Code, microservices, and event‐driven ...

with Salesforce including Apex and LWC. Native mobile development experience using Kotlin (Android) or Swift (iOS). Experience with cloud platforms (e.g., AWS, Azure, GCP). Familiarity with containerisation and orchestration (Docker, Kubernetes). Knowledge of microservices architecture and distributed systems. Experience with relational and/or NoSQL databases. Exposure ...

with one or more of: Java C# Python Go TypeScript Frontend frameworks such as: React Angular Vue Svelte Cloud platforms (AWS preferred, Azure or GCP also considered) Infrastructure as Code (Terraform, AWS CDK or Pulumi) CI/CD tools including GitHub Actions, GitLab CI, Jenkins, CircleCI or ArgoCD Building secure ...

with one or more of: Java C# Python Go TypeScript Frontend frameworks such as: React Angular Vue Svelte Cloud platforms (AWS preferred, Azure or GCP also considered) Infrastructure as Code (Terraform, AWS CDK or Pulumi) CI/CD tools including GitHub Actions, GitLab CI, Jenkins, CircleCI or ArgoCD Building secure ...

Understanding of systems engineering standards and processes (e.g.?MBSE SysML), and associated tool support (e.g. Enterprise Architect) Understanding of cloud platforms?(e.g., AWS, Azure, GCP) and their associated services (e.g., compute, storage, networking, APIs). Experience with API design, development, and documentation, including RESTful APIs and gRPC. Experience with system ...

subsequently implement and accelerate delivery of robust, production‐ready systems based on these designs. Extensive experience with major cloud platforms (e.g., AWS, Azure, GCP), including cloud‐native services (serverless, containerization, managed AI/ML platforms), and a strong command of DevOps/MLOps best practices for automated deployment, monitoring, lifecycle ...

performance. Familiarity with MLOps practices, including CI/CD pipelines, model versioning, and monitoring. \n Comprehensive experience with cloud platforms (AWS, Azure, or GCP) and cloud native AI tools, such as SageMaker, Vertex AI, or Azure ML Studio. Ability to design and deploy cloud-based AI solutions. \n Proficiency ...

performance. Familiarity with MLOps practices, including CI/CD pipelines, model versioning, and monitoring. \n Comprehensive experience with cloud platforms (AWS, Azure, or GCP) and cloud native AI tools, such as SageMaker, Vertex AI, or Azure ML Studio. Ability to design and deploy cloud-based AI solutions. \n Proficiency ...

performance. Familiarity with MLOps practices, including CI/CD pipelines, model versioning, and monitoring. \n Comprehensive experience with cloud platforms (AWS, Azure, or GCP) and cloud native AI tools, such as SageMaker, Vertex AI, or Azure ML Studio. Ability to design and deploy cloud-based AI solutions. \n Proficiency ...

performance. Familiarity with MLOps practices, including CI/CD pipelines, model versioning, and monitoring. \n Comprehensive experience with cloud platforms (AWS, Azure, or GCP) and cloud native AI tools, such as SageMaker, Vertex AI, or Azure ML Studio. Ability to design and deploy cloud-based AI solutions. \n Proficiency ...

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 ...

environments, with a good understanding of MLOps practices including CI/CD pipelines, model versioning, and monitoring.\ NExperience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI tools such as SageMaker, Vertex AI, or Azure ML Studio.\ NWorking knowledge ofcontainerization technologies (e.G., Docker) and orchestration tools (e.G., Kubernetes ...

environments, with a good understanding of MLOps practices including CI/CD pipelines, model versioning, and monitoring.\ NExperience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI tools such as SageMaker, Vertex AI, or Azure ML Studio.\ NWorking knowledge ofcontainerization technologies (e.G., Docker) and orchestration tools (e.G., Kubernetes ...

Proven experience designing and implementing scalable, secure, and interoperable data architectures in complex environments with cloud platforms (AWS, Azure, GCP, OCI) and cloud-native data services including use of services like S3, Lambda, Glue, Data Factory, etc. \n \n Experience designing and supporting implementation of large-scale data pipelines, data ...

Proven experience designing and implementing scalable, secure, and interoperable data architectures in complex environments with cloud platforms (AWS, Azure, GCP, OCI) and cloud-native data services including use of services like S3, Lambda, Glue, Data Factory, etc.\ N\n Experience designing and supporting implementation of large-scale data pipelines, data ...

production with a focus on evaluation, safety, monitoring. Strong background in distributed systems, microservices, SQL/NoSQL, and DevSecOps. Experience with cloud platforms (AWS, GCP, Azure) and tooling (Docker, Kubernetes, Terraform, Helm). Familiarity with frameworks such as Spring (AI/Boot/Core), Flask, LangChain, LangGraph, ADK, MLFlow ...

performance and reliability. \n Strong scripting and programming skills in Python, Bash, or other relevant languages. \n Working knowledge of cloud platforms (AWS, Azure, GCP) with a focus on data security and infrastructure as code. \n Excellent communication skills with the ability to collaborate effectively with cross-functional teams. ...

performance and reliability. \n Strong scripting and programming skills in Python, Bash, or other relevant languages. \n Working knowledge of cloud platforms (AWS, Azure, GCP) with a focus on data security and infrastructure as code. \n Excellent communication skills with the ability to collaborate effectively with cross-functional teams. ...