1 to 25 of 30 High Availability Jobs in the East of England

ingestion, enrichment and schema standardisation. Develop and tune security detection content, translating threat intelligence and TTPs aligned to MITRE ATT&CK into actionable, high-value alerts. Manage the full detection content lifecycle: design, test, deploy, monitor, tune and retire, using version control and rollback processes. Automate workflows and platform …/CD, SOAR, scripting and Infrastructure as Code tools such as Terraform and Ansible. Ensure platform performance, stability and resilience through capacity planning, high availability, disaster recovery and proactive monitoring. Provide technical leadership and guidance to internal teams and clients on security monitoring strategy and best practice. What ...

000pa Bedford, Hybrid Permanent, Full Time Can you Design, implement, and maintain robust, secure, and scalable network infrastructure solutions? Are you able to ensure high availability, performance, and security of bpha's network systems while mentoring junior staff and collaborating across IT teams? Then we want to hear … standards. Implement and manage network security measures (firewalls, VPNs, IDS/IPS). Configure and maintain routers, switches, wireless systems, and firewalls. Deploy scalable, high-performance network solutions with minimal downtime. Conduct regular network maintenance, updates, and upgrades. Perform security audits and vulnerability assessments. Respond to and mitigate network ...

000pa Bedford, Hybrid Permanent, Full Time Can you Design, implement, and maintain robust, secure, and scalable network infrastructure solutions? Are you able to ensure high availability, performance, and security of bpha's network systems while mentoring junior staff and collaborating across IT teams? Then we want to hear … standards. Implement and manage network security measures (firewalls, VPNs, IDS/IPS). Configure and maintain routers, switches, wireless systems, and firewalls. Deploy scalable, high-performance network solutions with minimal downtime. Conduct regular network maintenance, updates, and upgrades. Perform security audits and vulnerability assessments. Respond to and mitigate network ...

Line Oracle Database Administrator Location: 90% to Huntingdon, Cambridgeshire/10% West London Security Clearance Level: High DV Developed Vetting UNLEASH YOUR POTENTIAL At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers success. We empower our teams … business. Are you ready for your next challenge? We are looking for an enthusiastic and motivated third line Oracle Database Administrator, with high levels of security clearance, to join our growing team of IT experts in delivering high quality IT services to our government and commercial customers. ...

delivering critical digital solutions that support complex and sensitive programmes. They are known for their strong engineering culture, investment in people, and commitment to high standards of security and delivery. Due to continued growth and demand, they are looking for a Managing Security Engineer to join their team. … BENEFITS Car allowance Private healthcare and life assurance High employer pension contribution 25 days holiday with option to buy more Flexible benefits fund Structured training and development opportunities THE MANAGING SECURITY ENGINEER ROLE: You will lead the design, implementation and optimisation of security monitoring platforms, with a focus ...

Clearance due to the nature of some projects Responsibilities for Sys Admin: Set up, manage, and maintain Linux server environments, ensuring optimal performance and high availability. Apply security best practices across all systems, performing regular audits and updates. Support devices on Windows and macOS, ensuring smooth integration and functionality. ...

close day‐to‐day engagement with client stakeholders. This role is critical to ensuring platform resilience, regulatory compliance, and the continued success of a high‐revenue, mission‐critical client. What you’ll do Act as the overall technical architect for the VisionPLUS card processing platform and its integrations Serve … providing technical leadership and guidance Work closely with product owners, operations, infrastructure, and vendor teams to ensure seamless delivery Ensure systems meet 24×7 availability, performance, and security requirements Contribute to continuous improvement initiatives focused on resilience, automation, and technical debt reduction Experience you’ll need to have Extensive ...

experienced Software Engineer to support a range of large-scale, business-critical platforms. You'll join a collaborative engineering team working on high-availability systems used across the UK, contributing to new feature development, platform enhancements, and ongoing operational performance. About the Role You will work as part ...

opportunities to get involved in automation, monitoring and platform improvement work. What you'll be doing You’ll help manage and support a high-volume MySQL database environment, ensuring systems are stable, reliable and performing well. This will include monitoring database health, investigating performance issues, supporting backups and recovery … someone with solid database fundamentals, ideally with experience across: MySQL or similar relational databases Performance tuning, query optimisation and troubleshooting Backups, recovery, replication or high availability Supporting production environments Monitoring, incident resolution and data integrity AWS, Aurora, RDS or other managed database services would be useful ...

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 ...

incident resolution Manage SAP installations, configurations, upgrades, Kernel patching, and system refreshes Support transport management processes across SAP landscapes Implement and maintain backup, recovery, high availability, and disaster recovery solutions Monitor and optimise database and system performance Support upgrade and migration activities including SP/FP stacks ...

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 ...

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 ...