1 to 25 of 29 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 ...

delivering major and complex projects that are central to the Trust's vision, values, and strategy. Your work will directly support the delivery of high-quality, patient-centred care by ensuring our core business and clinical systems are robust, reliable, and responsive to the evolving needs of the organisation. … Systems Support Specialist, you will provide expert support for core business and clinical systems, including national applications, ensuring high availability and optimal performance for all end-users across the Trust and commercial partners. You will collaborate with the Digital Transformation Team to plan, configure, and implement innovative solutions ...

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 ...

Jumper Field Engineer Certification. Technical Experience Candidates must demonstrate proven experience delivering Cisco ISE solutions with the following capabilities: Cisco ISE 3.x or later. High-availability deployments across multiple sites. 802.1X authentication for wired and wireless environments. MAC Authentication Bypass (MAB). Guest access and customised onboarding workflows. … communication and stakeholder engagement skills. Strong documentation and reporting abilities. Ability to work independently and within cross-functional teams. Comfortable operating in fast-paced, high-pressure project environments. ...

detection engineering Experience with automation, scripting or Infrastructure as Code in SIEM environments Understanding of MITRE ATT&CK and threat detection techniques Experience with high availability, disaster recovery and SIEM performance optimisation TO BE CONSIDERED Please either apply through this advert or email me directly at robin.muirhead@searchability.com ...

detection engineering Experience with automation, scripting or Infrastructure as Code in SIEM environments Understanding of MITRE ATT&CK and threat detection techniques Experience with high availability, disaster recovery and SIEM performance optimisation TO BE CONSIDERED Please either apply through this advert or email me directly at robin.muirhead@searchability.com ...

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 ...

shape the technical direction of their platform. Key Responsibilities: Lead architecture and implementation of systems in C#/.NET Build low-latency applications handling high-volume data traffic Drive technical vision and mentor engineers across the team Oversee code reviews, coding standards and CI/CD pipelines Key Requirements … Core Strong distributed systems and microservices background Hands-on experience with RabbitMQ, Kafka or similar messaging technologies Proficiency with TCP/IP, gRPC and high-availability protocols Performance tuning, concurrency and multithreading expertise Docker, Kubernetes and CI/CD familiarity Relevant degree If this sounds like your next ...

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 ...

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 ...