17 of 17 Remote/Hybrid High Availability Jobs in the City of London

across Azure and Microsoft SQL platforms for a growing SaaS client of ours. The position supports the wider DevOps objectives by ensuring the security, availability, integrity, and end-to-end support of database services. Working as part of a DevOps team, the role is responsible for both on-premise … based database systems, including both vendor-supplied and internally developed solutions Design and implement tactical and strategic database solutions with a focus on scalability, availability, performance, and resilience Proactively monitor the SQL Server estate to ensure high availability and optimal performance Provide operational support to internal stakeholders ...

entire infrastructure stack; from CI/CD pipelines to production deployments, from infrastructure orchestration to security governance. You’ll be part of a high-powered team located in London. You will build robust systems, move quickly, but be ready to scale and ensure production-grade reliability as our product … Prometheus, Grafana, CloudWatch, Datadog, Sentry) to ensure system reliability and rapid incident response. • Establish SLOs/SLIs and implement observability best practices to maintain high availability and performance. • Lead incident response, root cause analysis, and implement preventive measures to improve system resilience. Security & Governance: • Implement and maintain security ...

controls, ensuring secure and resilient network operations across enterprise environments. This role is hands-on, need to be comfortable working in complex, regulated, or high-availability environments, partnering with infrastructure, networking, and SOC teams to deliver robust security outcomes. Key Responsibilities: Palo Alto Administer, configure, and support Palo ...

machine learning infrastructure. This role focuses on developing and maintaining scalable cloud environments, CI/CD pipelines, and deployment systems that support high-performance ML workloads. Key Responsibilities Design and maintain scalable cloud infrastructure for distributed computing and ML workloads Build and optimise CI/CD pipelines to enable … alerting/logging, and troubleshoot production issues Collaborate with engineering teams to improve performance, scalability, and cost efficiency Implement security best practices and ensure high availability of production systems Requirements Degree in Computer Science, Engineering, or similar, or relevant industry experience Experience with cloud platforms ...

Team & People Management Lead multidisciplinary agile teams including cloud engineers, DevOps specialists, analysts, and testers Mentor, coach, and support performance development to build a high-performing delivery culture Ensure effective resource planning to support sprint velocity and long-term delivery capacity Cloud Architecture & Engineering Oversight Oversee delivery of cloud … architectures, container platforms, and hybrid infrastructure solutions Guide adoption of Infrastructure as Code (IaC) and automation practices Collaborate on designs for scalability, resilience, and high availability across platforms Delivery Operations & Agile Governance Manage sprint planning, backlog prioritisation, and iterative delivery using agile methodologies Track and report delivery metrics ...

with cutting-edge technologies, including GCP, Kubernetes, Terraform/OpenTofu, and modern CI/CD pipelines, while helping define best practices for a regulated, high-impact platform. What You’ll Do: Infrastructure & Automation: Build and maintain cloud infrastructure, CI/CD pipelines, and automated deployment workflows. Security & Compliance: Implement … securely. Incident Response: Contribute to operational and security incident handling to minimize downtime and risk. What You Bring: Strong experience designing, managing, and securing high-availability cloud infrastructure (GCP preferred). Expertise with Kubernetes (GKE), container runtime security, and cluster hardening. Solid skills in Infrastructure as Code (Terraform ...

Hybrid) Rate: £450-550 per day IR35 Status: Outside IR35 Duration: 3 Months (Initial + likely extension) The Opportunity We are looking for a high-calibre Senior GCP Data Engineer to join one of London's fastest-growing technology success stories. Following a period of exceptional performance and record … pipelines to ingest data from a variety of internal and external sources. Infrastructure: Leveraging the full power of Google Cloud Platform to ensure high availability and performance of our data environment. Optimization: Refining and optimizing complex SQL queries and Python scripts to ensure efficient data processing and cost ...

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 ...

networks in a large user environment - Strong Cisco background (ideally CCNP/CCIE) - Knowledge of Layer 2 LAN technologies (VLANs, VTP, STP) - Understanding of high availability technology (VPC, SVL, HSRP) - Routing protocols - SDWAN technologies - CIsco Wireless technology ...

Developer to work out of their plush offices in the heart of London's West End. You will be working on the development of high-availability and highly-transactional .NET/C# applications which will be critical to the launch of their new online music shopping channel. ...

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 ...

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 ...

MOBKOI’s programmatic backend systems, including components of the real-time bidding (RTB) pipeline.• Support the design and implementation of scalable, reliable, and high-performance services handling large volumes of traffic.• Work alongside senior engineers to help evolve system architecture while balancing performance, cost efficiency, and reliability.• Assist … performance and contribute to initiatives that optimise infrastructure usage and operational cost.• Participate in diagnosing and resolving issues related to distributed systems, including latency, availability, and scaling challenges.• Implement backend components following best practices in fault tolerance, load balancing, and resilient design.• Develop an understanding of the programmatic advertising ...

improvement of MOBKOIs programmatic backend systems, including components of the real-time bidding (RTB) pipeline. Support the design and implementation of scalable, reliable, and high-performance services handling large volumes of traffic. Work alongside senior engineers to help evolve system architecture while balancing performance, cost efficiency, and reliability. Assist … performance and contribute to initiatives that optimise infrastructure usage and operational cost. Participate in diagnosing and resolving issues related to distributed systems, including latency, availability, and scaling challenges. Implement backend components following best practices in fault tolerance, load balancing, and resilient design. Develop an understanding of the programmatic advertising ...