26 to 50 of 1,590 GCP Jobs in the UK

infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure ...

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 ...

stakeholder engagement skills.Desirable SkillsExperience with MLOps, MLflow, Weights & Biases or similar experiment management platforms.Knowledge of cloud-based AI platforms such as AWS, Azure or GCP and containerisation technologies including Docker.Experience with explainable AI, adversarial robustness, privacy-preserving techniques or other Responsible AI practices.Proficiency in C++ and development within safety-critical ...

skills. Desirable SkillsExperience with MLOps, MLflow, Weights & Biases or similar experiment management platforms. Knowledge of cloud-based AI platforms such as AWS, Azure or GCP and containerisation technologies including Docker. Experience with explainable AI, adversarial robustness, privacy-preserving techniques or other Responsible AI practices. Proficiency in C++ and development within ...

Boot and the wider Spring Framework. Experience of Microservices design and architecture, including Restful API services. Strong knowledge of public cloud (AWS, Azure, or GCP) and DevOps practices, including containerisation (Docker, Kubernetes). Proficiency in Infrastructure as Code tools such as Terraform. Proficient in using CI/CD tools such ...

Boot and the wider Spring Framework. Experience of Microservices design and architecture, including Restful API services. Strong knowledge of public cloud (AWS, Azure, or GCP) and DevOps practices, including containerisation (Docker, Kubernetes). Proficiency in Infrastructure as Code tools such as Terraform. Proficient in using CI/CD tools such ...

Boot and the wider Spring Framework. Experience of Microservices design and architecture, including Restful API services. Strong knowledge of public cloud (AWS, Azure, or GCP) and DevOps practices, including containerisation (Docker, Kubernetes). Proficiency in Infrastructure as Code tools such as Terraform. Proficient in using CI/CD tools such ...

Google Cloud Platform (GCP) Terraform or Infrastructure as Code tooling Docker containerization Kubernetes GitHub Actions, Jenkins, GitLab CI, or Harness Cloud Monitoring and Observability tools REST APIs and API Lifecycle concepts API Gateway technologies such as Apigee Cloud Security and IAM concepts Agile and DevOps delivery methodologies Cloud Infrastructure Support … Assist with the deployment, configuration, and maintenance of cloud infrastructure hosted on Google Cloud Platform (GCP) . Support infrastructure provisioning using Infrastructure as Code (IaC) principles. Help manage development, test, and production environments. CI/CD & Release Automation Support the creation, enhancement, and maintenance of CI/CD pipelines. Assist ...

experience includes: DevOps & Platform Engineering: CI/CD, Infrastructure as Code, Terraform, Docker, Kubernetes and cloud-native deployment practices. Cloud Technologies: AWS, Azure or GCP, including architecture, infrastructure automation and production operations. Software Engineering: Python, APIs, modern development frameworks, Git, automated testing and software delivery best practices. AI/ ...

understanding of MLOps practices and how data engineering supports scalable machine learning and AI deployment.Experience managing distributed applications across cloud environments, ideally including Google Cloud Platform and Microsoft Azure.Strong communication and stakeholder management skills, with the ability to explain complex technical topics clearly.A structured and analytical approach to solving problems ...

MLOps practices and how data engineering supports scalable machine learning and AI deployment. Experience managing distributed applications across cloud environments, ideally including Google Cloud Platform and Microsoft Azure. Strong communication and stakeholder management skills, with the ability to explain complex technical topics clearly. A structured and analytical approach to solving ...

Data Architecture: You should have practical architecture experience across both established enterprise approaches and modern data patterns, including: Cloud-native data platforms (AWS, Azure, GCP). Snowflake, Microsoft Fabric, and/or SageMaker (multi-platform experience advantageous). Data lake and lakehouse architectures. Event-driven and streaming architectures. Data Mesh ...

open table formats such as Delta Lake or Apache IcebergProficiency with cloud-native services on Azure and knowledge of multi-cloud environments (AWS or GCP)Hands-on experience with CI/CD and Infrastructure as Code tools (Terraform, GitHub Actions, Jenkins)Strong leadership ability to guide teams, define epics/ ...

C# .Net, React and Next.js, MongoDB and SQL. Learning and applying cloud-native technologies including Kubernetes and major cloud platforms (AWS, Azure and GCP). Supporting the engineering lifecycle from development through to deployment, maintenance and decommissioning. Collaborating with cross-functional teams to deliver high-quality solutions that meet customer ...

infrastructure, platform, or cloud engineering teams. Strong technical foundation in operating large-scale, highly distributed production systems on cloud platforms such as OCI, AWS, GCP, or Azure. Demonstrated ability to lead senior engineers and provide credible technical guidance. Strong understanding of reliability engineering practices, including availability, scalability, observability, incident management ...

system designProduction Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructureStrong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutionsExcellent communication skills with the ability ...

Dodd-Frank, or local transaction reporting), Risk Management, or Capital Markets.Cloud Awareness: Familiarity with cloud-native development and deploying applications on cloud platforms (AWS, GCP, or Azure).Education: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Information Technology, or a related technical fieldWhat we’ll provide youBy ...

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 ...

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 ...

microservices Experience working in agile environments with DevOps practices and CI/CD pipelines Knowledge of cloud platforms such as AWS, Azure, or GCP Familiarity with containerisation technologies (Docker, Kubernetes) or serverless architectures Experience with automated testing frameworks and modern development practices Understanding of software architecture patterns and secure design ...

engineers who have a variety of different skills which include some of the below. · Strong proficiency in Python · Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: o Data warehousing and lake architectures o ETL/ELT pipeline development o SQL and NoSQL databases o Distributed computing frameworks ...

enterprise applications in Python . Experience designing and building APIs and service-oriented architectures. Strong understanding of cloud platforms such as Azure, AWS or GCP . Experience with Docker, Kubernetes and containerised deployments. Knowledge of job orchestration, workflow engines and message queues. Strong SQL and data integration experience. Experience building ...

reliable, high-quality solutions. Exposure to complementary technologies such as Docker, Kubernetes, Ansible, OpenSearch, Elastic Cloud, Python, AWS Control Tower, Security Hub, GuardDuty, Inspector, GCP, FinOps, cloud cost optimisation or AI-assisted engineering tools would be beneficial. Work in a Way That Works for You We promote a healthy work ...

with a strong foundation in successfully building and deploying services in the cloud A deep knowledge of cloud platforms such as AWS, Azure and GCP Hands on experience delivering software using multiple programming languages, and a thorough understanding of modern software engineering best practices Deep experience with containerisation and orchestration ...

with experience creating developer tooling or shared engineering platforms that improve engineering productivity. Practical experience with cloud platforms such as AWS, Azure or Google Cloud Platform, and experience implementing quality metrics, reporting dashboards and visualisation tools to measure software quality. Excellent analytical and problem-solving skills, with proven ability ...