201 to 225 of 1,512 GCP Jobs in the UK excluding London

with vector databases (e.g., Pinecone, Milvus, Weaviate) and semantic search techniques. Strong foundation in cloud infrastructure, networking, security, CI/CD pipelines, and observability. Experience with cloud platforms (AWS, GCP, etc.) or database internals. Proven track record of delivering end-to-end projects and mentoring engineers. Direct experience with ML platforms and MLOps is required. More ❯

with vector databases (e.g., Pinecone, Milvus, Weaviate) and semantic search techniques. Strong foundation in cloud infrastructure, networking, security, CI/CD pipelines, and observability. Experience with cloud platforms (AWS, GCP, etc.) or database internals. Proven track record of delivering end-to-end projects and mentoring engineers. Direct experience with ML platforms and MLOps is required. More ❯

with vector databases (e.g., Pinecone, Milvus, Weaviate) and semantic search techniques. Strong foundation in cloud infrastructure, networking, security, CI/CD pipelines, and observability. Experience with cloud platforms (AWS, GCP, etc.) or database internals. Proven track record of delivering end-to-end projects and mentoring engineers. Direct experience with ML platforms and MLOps is required. More ❯

automate infrastructure, enhance observability, and embed best practices in VMware Hypervisor and DevOps . Key Responsibilities: Build and maintain on-prem and cloud infrastructure (VMware Hypervisor, vSphere, OpenStack, AWS, GCP, Azure). Apply deep knowledge of operating systems and networking (Windows, Linux, firewalls, and load balancers - Palo Alto, F5). Manage and optimise containerised environments (Kubernetes, Docker). Develop and More ❯

automate infrastructure, enhance observability, and embed best practices in VMware Hypervisor and DevOps . Key Responsibilities: Build and maintain on-prem and cloud infrastructure (VMware Hypervisor, vSphere, OpenStack, AWS, GCP, Azure). Apply deep knowledge of operating systems and networking (Windows, Linux, firewalls, and load balancers - Palo Alto, F5). Manage and optimise containerised environments (Kubernetes, Docker). Develop and More ❯

management (IAM), network security, and encryption Experience with Git or other version control systems Desirable Knowledge, Skills and Experience: Certifications in Oracle Cloud (OCI) or other cloud platforms (AWS, GCP) Experience with Jira, Confluence, or similar project management tools Knowledge of compliance frameworks and standards (e.g. GDPR, HIPAA, ISO27001, ISO13485) Key Attributes: Collaborative mindset Willingness to learn, cross-train, and More ❯

languages. Passion for using data to drive key business decisions. Skills we’d love to see/Amazing Extras: Experience with Microsoft Fabric. Familiarity with other cloud platforms (AWS, GCP). Experience integrating with ERP systems such as SAP, Oracle, or Netsuite. Knowledge of Power Platform (Power Apps, Power Automate). Knowledge of Delta Lakehouse architectures and concepts. Experience with More ❯

languages. Passion for using data to drive key business decisions. Skills we’d love to see/Amazing Extras: Experience with Microsoft Fabric. Familiarity with other cloud platforms (AWS, GCP). Experience integrating with ERP systems such as SAP, Oracle, or Netsuite. Knowledge of Power Platform (Power Apps, Power Automate). Knowledge of Delta Lakehouse architectures and concepts. Experience with More ❯

languages. Passion for using data to drive key business decisions. Skills we’d love to see/Amazing Extras: Experience with Microsoft Fabric. Familiarity with other cloud platforms (AWS, GCP). Experience integrating with ERP systems such as SAP, Oracle, or Netsuite. Knowledge of Power Platform (Power Apps, Power Automate). Knowledge of Delta Lakehouse architectures and concepts. Experience with More ❯

orchestration, automation) Expertise in data modelling (dimensional, event-based, ML-aligned) Experience with helping to build ML models and orchestrating into production Familiarity with cloud ecosystems - Azure, AWS, or GCP Experience with CI/CD tools (Azure DevOps, GitHub Actions, or similar) Excellent communication skills and a structured, detail-oriented approach BSc in a related STEM degree from a top More ❯

orchestration, automation) Expertise in data modelling (dimensional, event-based, ML-aligned) Experience with helping to build ML models and orchestrating into production Familiarity with cloud ecosystems - Azure, AWS, or GCP Experience with CI/CD tools (Azure DevOps, GitHub Actions, or similar) Excellent communication skills and a structured, detail-oriented approach BSc in a related STEM degree from a top More ❯

orchestration, automation) Expertise in data modelling (dimensional, event-based, ML-aligned) Experience with helping to build ML models and orchestrating into production Familiarity with cloud ecosystems - Azure, AWS, or GCP Experience with CI/CD tools (Azure DevOps, GitHub Actions, or similar) Excellent communication skills and a structured, detail-oriented approach BSc in a related STEM degree from a top More ❯

/ML, especially LLMs, RAG , and vector databases (e.g. Pinecone, Weaviate). Experience with enterprise data integration (e.g. PostgreSQL, SharePoint, APIs, warehouses). Cloud architecture experience (AWS, Azure, or GCP). Proficiency in Python (strongly preferred), and familiarity with Docker and Kubernetes . Outstanding verbal and written communication skills. More ❯

/ML, especially LLMs, RAG , and vector databases (e.g. Pinecone, Weaviate). Experience with enterprise data integration (e.g. PostgreSQL, SharePoint, APIs, warehouses). Cloud architecture experience (AWS, Azure, or GCP). Proficiency in Python (strongly preferred), and familiarity with Docker and Kubernetes . Outstanding verbal and written communication skills. More ❯

detail and work ethic Strong analytical and problem solving skills Excellent communication (both written and verbal) and interpersonal skills Experience of cloud technologies such as Azure/AWS/GCP Previous experience working with source control tools (TFS, SVN, or GIT) Experience leading/mentoring a small team of Engineers in all aspects of product development Legal right to work More ❯

years’ experience as a DevOps or Platform Engineer, ideally operating in a Senior capacity in their current role, and have the following: Experience with Azure Cloud (AWS and GCP will also be considered) Strong Containerisation/Orchestration work with Kubernetes Strong hands-on experience with Terraform for IaC Wealth of work across CI/CD, Monitoring, and Automation Software Development More ❯

training, evaluations and inference. Programming languages: Proficiency in Python using PyTorch/TensorFlow/JAX framework. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to More ❯

training, evaluations and inference. Programming languages: Proficiency in Python using PyTorch/TensorFlow/JAX framework. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to More ❯

training, evaluations and inference. Programming languages: Proficiency in Python using PyTorch/TensorFlow/JAX framework. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to More ❯

JAX framework. Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to More ❯

JAX framework. Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to More ❯

JAX framework. Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to More ❯

practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one programming language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster Understanding of CI/CD principles, version control (Git) and software More ❯

practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one programming language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster Understanding of CI/CD principles, version control (Git) and software More ❯

practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one programming language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster Understanding of CI/CD principles, version control (Git) and software More ❯