1 to 25 of 40 GCP Jobs in the East Midlands

reliable and scalable back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset ...

reliable and scalable back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset ...

reliable and scalable back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset ...

reliable and scalable back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset ...

reliable and scalable back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

operating Red Hat OpenShift in enterprise environments Solid Kubernetes expertise, including networking, storage, and ingress Experience running OpenShift on cloud platforms (AWS, Azure, or GCP) and on-prem Strong Linux and Red Hat ecosystem experience Experience working within the NHS or UK central government is essential Understanding of public sector ...

operating Red Hat OpenShift in enterprise environments Solid Kubernetes expertise, including networking, storage, and ingress Experience running OpenShift on cloud platforms (AWS, Azure, or GCP) and on-prem Strong Linux and Red Hat ecosystem experience Experience working within the NHS or UK central government is essential Understanding of public sector ...

operating Red Hat OpenShift in enterprise environments Solid Kubernetes expertise, including networking, storage, and ingress Experience running OpenShift on cloud platforms (AWS, Azure, or GCP) and on-prem Strong Linux and Red Hat ecosystem experience Experience working within the NHS or UK central government is essential Understanding of public sector ...

operating Red Hat OpenShift in enterprise environments Solid Kubernetes expertise, including networking, storage, and ingress Experience running OpenShift on cloud platforms (AWS, Azure, or GCP) and on-prem Strong Linux and Red Hat ecosystem experience Experience working within the NHS or UK central government is essential Understanding of public sector ...

operating Red Hat OpenShift in enterprise environments Solid Kubernetes expertise, including networking, storage, and ingress Experience running OpenShift on cloud platforms (AWS, Azure, or GCP) and on-prem Strong Linux and Red Hat ecosystem experience Experience working within the NHS or UK central government is essential Understanding of public sector ...

supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker ...

supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker ...

supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker ...

supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker ...

supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker ...

least one of the following: C# (.NET Core), JavaScript/TypeScript, or Golang Experience working with cloud platforms such as AWS or GCP Solid understanding of both relational and NoSQL databases - e.g. MongoDB, Firestore, SQL Server Familiarity with CI/CD pipelines and infrastructure automation tools like Jenkins, GitHub Actions ...

Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. Bachelor ...

growth scaleup environment. Expert in Python and frameworks such as PyTorch or TensorFlow. Experience deploying AI models in production, preferably in cloud environments (AWS, GCP, Azure). Entrepreneurial mindset – able to make technical decisions in a fast-moving, ambiguous environment. Excellent communication skills and comfortable collaborating directly with founders. Experience ...

both web and mobile app environments. Key Skills: Node.js, TypeScript, BFF experience essential React.js & React Native Terraform, K8's, Docker Cloud experience (ideally GCP) Key details: Up to £550 per day, Outside IR35 Initial 3 months (extensions likely) Interviews Friday/Monday January 5th start date This is an exciting ...

CrowdStrike, SentinelOne etc.) - Hands-on with vulnerability scanning & remediation (Nessus, Qualys, OpenVAS) - Linux/Windows administration competency - Cloud security awareness (AWS/Azure/GCP + IAM principles) - Scripting/automation skills (Python, PowerShell, Bash) - Understanding of secure coding/OWASP Top 10 - Working knowledge of ISO 27001, NIST, Cyber ...