7 of 7 Remote/Hybrid High Availability Jobs in East London

responsible for supporting approximately 4000 Linux systems that underpin critical business applications. They will deliver solutions that meet stringent security, compliance, and availability requirements while troubleshooting complex issues and driving operational excellence. What you'll do Lead and mentor a team of Linux engineers, fostering technical growth and collaboration. … infrastructure and related services. Develop and enforce operating procedures for secure and efficient system management. Design and deliver solutions that meet security, compliance, and high availability standards. Drive automation initiatives using Ansible and other tools to streamline operations. Oversee patching, hardening, and configuration management in line with best ...

Sector & Government Client Build the Data Infrastructure That Powers the Public Sector We are looking for experienced Data Engineers to join a long-standing, high-impact public sector partnership. This isn't just about moving data; it's about modernizing essential services and delivering secure, reliable data products … integration solutions (both batch and near-real-time). Build & Optimize: Develop and improve end-to-end data pipelines-from ingestion to curation-ensuring high availability through rigorous monitoring and alerting. Collaborate: Work closely with product teams and client stakeholders to align technical decisions with cost, performance ...

responsibilities Lead network & security projects: design, implement, test and handover FortiGate firewall and Fortinet platform deployments. Configure and manage FortiGate (physical & virtual) firewall policies, high availability, routing and VPNs. Deploy and maintain FortiEMS/FortiClient endpoint security and integrate endpoint telemetry into security operations. Integrate and operate Fortinet ...

responsibilities Lead network & security projects: design, implement, test and handover FortiGate firewall and Fortinet platform deployments. Configure and manage FortiGate (physical & virtual) firewall policies, high availability, routing and VPNs. Deploy and maintain FortiEMS/FortiClient endpoint security and integrate endpoint telemetry into security operations. Integrate and operate Fortinet ...

feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy … . . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications ...

feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy … . . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications ...

feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy … . . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications ...