76 to 100 of 344 Containerisation Jobs in the North of England

apply AI methodologies in your work. · Familiarity with front-end JavaScript frameworks (e.g., React, Vue.js). · Knowledge of cloud platforms (particularly AWS) and containerisation (Docker). Why Join Us? The Jaywing & Stubben Edge Advantage · Become an AI Practitioner: Move beyond theory. This role offers practical, career-defining experience with agentic ...

model-driven development and integration of both generated and hand-written code. Strong understanding of software build pipelines , configuration management (e.g. Git, Jira), and containerisation (e.g. Docker). Familiarity with software testing , including unit testing , integration , and code validation . Understanding of software safety compliance , documentation standards, and continuous integration ...

with GraphQL Thorough understanding of CI/CD pipelines Practices Test Driven Development and is comfortable with various test frameworks and concepts. Familiarisation with containerisation and tools like Docker, ECS or Kubernetes Experience of developing, deploying, and maintaining Cloud-Based solutions on AWS Understand the principles behind what makes ...

Senior capacity in their current role, and have the following: Experience with Azure Cloud (AWS and GCP will also be considered) Strong Containerisation/Orchestration work with Kubernetes Strong hands-on experience with Terraform for IaC Wealth of work across CI/CD, Monitoring, and Automation Software Development background, capable ...

NoSQL databases CI/CD & modern DevOps practices Experience Solid experience in .NET software engineering (C#) Strong cloud experience, ideally with Azure Familiarity with containerisation & orchestration (Kubernetes preferred) Good understanding of software architecture and clean code principles Comfortable working independently and as part of a collaborative team Experience with performance ...

experience with PHP and Laravel Experience with React.js for frontend development Strong understanding of API development and relational databases Exposure to cloud platforms or containerisation is a bonus Passion for building technology that improves healthcare and patient outcomes Benefits Hybrid working, meaningful work in the health-tech space, ongoing training ...

/or NoSQL databases. Solid understanding of software development principles, design patterns, and agile methodologies. Experience with Python is a significant advantage. Familiarity with containerization technologies (e.g., Docker, Kubernetes). Experience with CI/CD pipelines. Please send me your CV for more information on these roles. Reasonable Adjustments: Respect ...

Tech Stack 💻 Frontend: React & React Native, TypeScript, HTML, ,CSS Cloud: AWS Other technical skills Experience with microservices CI/CD, DevOps practices & containerisation (Docker/Kubernetes) Some exposure to DDD, TDD orrrrrr a passion for clean, testable code ⭐ Why join? ⭐ A genuinely collaborative, non-hierarchical culture People are trusted ...

Automate model training, testing, deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure, or GCP. Use containerization and orchestration tools (Docker, Kubernetes). Optimize compute costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists ...

Automate model training, testing, deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure, or GCP. Use containerization and orchestration tools (Docker, Kubernetes). Optimize compute costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists ...

Automate model training, testing, deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure, or GCP. Use containerization and orchestration tools (Docker, Kubernetes). Optimize compute costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists ...

Automate model training, testing, deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure, or GCP. Use containerization and orchestration tools (Docker, Kubernetes). Optimize compute costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists ...

Automate model training, testing, deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure, or GCP. Use containerization and orchestration tools (Docker, Kubernetes). Optimize compute costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists ...

Automate model training, testing, deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure, or GCP. Use containerization and orchestration tools (Docker, Kubernetes). Optimize compute costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists ...

Automate model training, testing, deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure, or GCP. Use containerization and orchestration tools (Docker, Kubernetes). Optimize compute costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists ...

Automate model training, testing, deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure, or GCP. Use containerization and orchestration tools (Docker, Kubernetes). Optimize compute costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists ...

Automate model training, testing, deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure, or GCP. Use containerization and orchestration tools (Docker, Kubernetes). Optimize compute costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists ...

Automate model training, testing, deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure, or GCP. Use containerization and orchestration tools (Docker, Kubernetes). Optimize compute costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists ...

Automate model training, testing, deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure, or GCP. Use containerization and orchestration tools (Docker, Kubernetes). Optimize compute costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists ...

Automate model training, testing, deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure, or GCP. Use containerization and orchestration tools (Docker, Kubernetes). Optimize compute costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists ...

Microsoft SQL Server and data structure design skills. Modern Tooling: Experience with CI/CD (TeamCity/Octopus), Version Control (Bitbucket/Git), and Containerisation (Docker/Kubernetes). Leadership & Grit: You lead by example. Energy, ambition, and "grit" matter more to us than years of formal management experience. Education ...

specifications and prototypes. About you: Extensive experience in software engineering with a strong focus on Python. Proven expertise in cloud platforms, specifically AWS, and containerization tools. Strong practical knowledge of Terraform and DevOps methodologies. Experience working within the Healthcare sector or Government (DDaT) environments is highly desirable. Understanding of Agile ...

Stack PHP Developer, with excellent Laravel, PHP, JavaScript (ideally Vue.JS) & Cloud (AWS or Azure) experience is required by a leading company based in Preston. Containerisation, TDD or .NET skills would be a bonus. Due to investment and a pipeline of brand-new green field work, they need a couple ...

pipelines for near-real-time detection (packet/flow analytics). Background in resilience engineering, chaos testing, disaster recovery, and capacity planning at hyperscale. Containerization/orchestration (e.g., Kubernetes) and secure service-to-service communication (mTLS, policy enforcement). Familiarity with zero trust, segmentation, and modern security architectures; exposure ...

pipelines for near-real-time detection (packet/flow analytics). Background in resilience engineering, chaos testing, disaster recovery, and capacity planning at hyperscale. Containerization/orchestration (e.g., Kubernetes) and secure service-to-service communication (mTLS, policy enforcement). Familiarity with zero trust, segmentation, and modern security architectures; exposure ...