201 to 225 of 428 High Availability Jobs in England

design, build and maintain the core data infrastructure powering the investment and risk processes. This is a fully hands-on role within a small, high-calibre team, offering significant impact and ownership. You will develop robust, production-grade ETL pipelines, manage cloud-based and on-prem data environments … from external vendors, trading systems and internal sources. The role also involves implementing automated data validation processes, optimising data quality and performance, and ensuring high availability across all systems. Working closely with the portfolio manager, researchers and engineers, you will enable data-driven decision-making through well-structured ...

Azure | C# | .NET | APIs | Platform Leadership A senior Tech Lead is required to join a well-established e-commerce brand operating at scale, supporting high-throughput, business-critical backend systems. This role sits within a core backend and API-focused team responsible for internal platforms that directly support commercial … expectation of attending roughly once every two weeks. The Role Act as the technical lead for a backend/API team supporting real-time, high-availability systems Own solution design and architecture, ensuring systems are scalable, resilient and well-governed Lead and perform code reviews, setting clear quality ...

Join one of the most elite, high-performance engineering organisations in the world, where technology sits at the centre of a globally competitive, results-driven operation. This is a rare opportunity to support a business where speed, precision, and reliability are non-negotiable, and where IT performance directly impacts … environment that demands excellence, accountability, and continuous improvement. The Role & Team You'll join a Service Desk team of 6, supporting a fast-paced, high-availability environment: 1 × Student Placement (1st Line) 2 × Junior Engineers 3 × Support Engineers This is a hands-on technical role with added responsibility ...

Join one of the most elite, high-performance engineering organisations in the world , where technology sits at the centre of a globally competitive, results-driven operation. This is a rare opportunity to support a business where speed, precision, and reliability are non-negotiable, and where IT performance directly impacts … environment that demands excellence, accountability, and continuous improvement. The Role & Team You’ll join a Service Desk team of 6 , supporting a fast-paced, high-availability environment: 1 × Student Placement (1st Line) 2 × Junior Engineers 3 × Support Engineers This is a hands-on technical role with added responsibility ...

Tech-Led Culture – Join a collaborative team that lives and breathes quality software development, driven by best practices and a passion for building resilient, high-performing systems. Tech You'll Work With Core : C#/.NET Framework transitioning to .NET Core UI : WPF (Windows Presentation Foundation) Database … environments and Office integrations Confident with MS SQL Server and T-SQL Excellent communicator who thrives in a team setting Bonus: Experience working on high-availability , multi-user , n-tier distributed systems Hybrid Working Based in the West Midlands , with flexible hybrid working that balances collaboration and personal ...

trusted as a senior technical authority, taking ownership of routing architecture, contributing to strategic decisions, and ensuring the network can support real-time, high-throughput workloads. Key Responsibilities: Design and operate resilient network architectures across LAN, WAN, data centre, and cloud environments Own and optimise routing and traffic flows … Continuously improve network resilience, throughput, and operational efficiency What Were Looking For: You will be an experienced network engineer who has worked in demanding, high-availability environments where routing stability and performance are critical. Strong practical experience with BGP, OSPF, and multicast networking is essential, alongside confidence working ...

trusted as a senior technical authority, taking ownership of routing architecture, contributing to strategic decisions, and ensuring the network can support real-time, high-throughput workloads. Key Responsibilities: • Design and operate resilient network architectures across LAN, WAN, data centre, and cloud environments • Own and optimise routing and traffic flows … improve network resilience, throughput, and operational efficiency What We’re Looking For: You will be an experienced network engineer who has worked in demanding, high-availability environments where routing stability and performance are critical. Strong practical experience with BGP, OSPF, and multicast networking is essential, alongside confidence working ...

trusted as a senior technical authority, taking ownership of routing architecture, contributing to strategic decisions, and ensuring the network can support real-time, high-throughput workloads. Key Responsibilities: • Design and operate resilient network architectures across LAN, WAN, data centre, and cloud environments • Own and optimise routing and traffic flows … improve network resilience, throughput, and operational efficiency What We’re Looking For: You will be an experienced network engineer who has worked in demanding, high-availability environments where routing stability and performance are critical. Strong practical experience with BGP, OSPF, and multicast networking is essential, alongside confidence working ...

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 ...

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 ...

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 ...

Access and Cisco SD-WAN technologies. As part of this contract, you will play a key role in enterprise-scale network delivery, ensuring high availability, security, and performance across a complex IT landscape . Key Responsibilities: Design, implement, and maintain Cisco SD-Access and Cisco SD-WAN solutions. … Comfortable working in a hybrid environment with some on-site presence in London. If you're an SC Cleared Network Specialist looking for a high-impact role in a banking environment, apply now or reach out for more information ...

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 ...

continuous improvement. How youll spend your day As a Senior Information Security Analyst (SOC), youll play a key role in protecting a large-scale, high-availability environment, acting as an escalation point for complex security incidents. Your day will include: Leading incident response activities: investigating alerts, conducting threat … experience to enhance SOC efficiency. Experience working with and explaining security concepts to non-technical stakeholders. Excellent written and verbal communication skills, especially producing high-level incident reports for senior leadership. A collaborative, open and supportive mindset, essential for mentoring junior SOC analysts. Perks & Benefits: Performance-Based Bonus: Annual ...