17 of 17 Permanent High Availability Jobs in Hertfordshire

workflows and configurations using CI/CD, SOAR, scripting and IaC tools (Terraform, Ansible). Ensure platform performance, stability and reliability, including capacity planning, high availability, disaster recovery and proactive monitoring. What you will bring: Hands-on experience with Elastic Security and Splunk ES, including detection engineering, indexing … detection quality and noise reduction. Experience with automation and Infrastructure-as-Code in SIEM environments. Deep understanding of SIEM platform operations, including clustering, high availability, disaster recovery, scaling and performance optimisation. Strong problem-solving skills with a proactive approach to improving security operations. If you are interested ...

teams to estimate, design, code, deploy and support working software components Adhere to the corporate security compliance, performance etc., ensure platform is built with High Availability, Recoverability etc., Produce and review complex design documents Recommend optimized design solutions, perform solution deficiency analysis and recommend corrective actions Strong problem ...

opportunity: Lead and develop the Cyber Security Engineering team, ensuring effective resource coordination, security clearance management, and technical delivery. Manage the delivery, maintenance, and availability of MBDA UK's cyber security tools and ensure robust business continuity and disaster recovery processes. Oversee SOC account and access administration, enforcing identity … Working knowledge of identity and access management (IAM) and principles of least privilege and need-to-know. Desirable: Experience in defence, government, or other high-assurance environments. Experience developing and maintaining Standard Operating Procedures (SOPs) and security documentation. Exposure to AI/ML-based security capabilities or 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: Lead the design and analysis of A/B tests and offline experiments to evaluate model … PyTorch). 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: Lead the design and analysis of A/B tests and offline experiments to evaluate model … PyTorch). 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 ...

before scaling up to 100+ millions events per day. You'll work at the top of the engineering track, designing and delivering high-performance, distributed systems while guiding others through implementation and problem-solving. This is a deep technical role, ideal for someone who thrives on code, architecture … What you'll bring Proven experience building and running distributed systems at scale. Deep fluency in modern programming languages and frameworks. Experience delivering secure, high-availability software into production. Strong understanding of architecture, design patterns, and microservice principles. Ability to balance hands-on coding with architectural oversight ...

seeking .NET Developer to work out of their plush offices in the heart of Hertford, Hertfordshire. 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. ...

Database Engineer, you'll sit at the intersection of database administration and software engineering. You'll be responsible for building and maintaining high-availability PostgreSQL environments, ensuring performance, security, backups, replication, and recovery are robust and reliable. Alongside this, you'll write production-quality Python to automate database ...

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: Lead the design and analysis of A/B tests and offline experiments to evaluate model … PyTorch). 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: Lead the design and analysis of A/B tests and offline experiments to evaluate model … PyTorch). 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: Lead the design and analysis of A/B tests and offline experiments to evaluate model … PyTorch). 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: Lead the design and analysis of A/B tests and offline experiments to evaluate model … PyTorch). 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: Lead the design and analysis of A/B tests and offline experiments to evaluate model … PyTorch). 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: Lead the design and analysis of A/B tests and offline experiments to evaluate model … PyTorch). 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 ...

Test Engineering strategy. Lead quality across four pillars: Functional & Regression Testing Test Automation Performance Engineering Certification & Compliance Testing Embed consistent, high standards for testability and quality across teams. Evolve the function into a scalable, future-proof capability. Organisation & Leadership Lead a ~40-person Test Engineering organisation. Manage ~6 senior … leaders (manager-of-managers). Shape leadership across Automation, Manual Testing, Performance, and Certification. Make targeted, high-impact hires where needed. Technical & Stakeholder Leadership Act as a senior technical authority on testing strategy, automation, and quality systems. Champion quality-first engineering across the SDLC. Influence executives, product, and engineering ...

validation, acceptance testing, and end-to-end functional testing for IMS and 5G SA services. Audit core network nodes and services to ensure maximum availability, resilience, and compliance with operational standards. Lead capacity planning activities for Core network elements, ensuring scalability and alignment with traffic growth and service demand. … service assurance Ability to manage complex incidents and collaborate across engineering, operations, and vendor teams Experience supporting live production networks in a high-availability environment ...

hands-on Technical Architect to join a major cloud-native transformation programme. This is a role for someone who can move confidently between high-level architectural thinking and deep technical delivery, shaping solutions and helping teams make them real. If you enjoy solving complex technical problems, setting engineering direction … turn business requirements into robust architectural solutions and clear technical roadmaps. Drive standards around cloud governance, infrastructure-as-code, observability, cost optimisation, and high availability. Provide hands-on technical leadership — code reviews, technical oversight, solution design — while mentoring teams and supporting delivery. What You'll Bring Strong background ...