276 to 300 of 1,007 Containerisation Jobs in the UK

with Helm for Kubernetes application packaging and deployment Solid experience with Terraform for infrastructure provisioning and automation Deep understanding of CI/CD principles, GitOps, and automation Experience with containerization and orchestration tools (Docker, etc.) Good scripting skills (e.g., Bash, PowerShell, Python) Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, Azure Monitor) Demonstrated experience in managing multiple Azure landing More ❯

stakeholder engagement and communication skills Strong documentation skills (architecture diagrams, data flows, etc.) Desirable: Experience in pensions, asset management, or investment banking Familiarity with DevOps, CI/CD, and containerisation (Docker, Kubernetes) Relevant certifications (e.g., TOGAF, AWS Solutions Architect, Azure Architect) Why Apply? This is a high-impact role in a forward-thinking organisation undergoing significant digital transformation. You'll More ❯

stakeholder engagement and communication skills Strong documentation skills (architecture diagrams, data flows, etc.) Desirable: Experience in pensions, asset management, or investment banking Familiarity with DevOps, CI/CD, and containerisation (Docker, Kubernetes) Relevant certifications (e.g., TOGAF, AWS Solutions Architect, Azure Architect) Why Apply? This is a high-impact role in a forward-thinking organisation undergoing significant digital transformation. You'll More ❯

lifecycle, including deploying models built in PyTorch, TensorFlow, or Scikit-learn, or similar Hands-on cloud experience with AWS, Azure, or GCP. Knowledge of Docker and Kubernetes, with practical containerisation experience. Understanding of probability, statistics, and ML techniques. Strong communication skills, able to engage with technical and non-technical stakeholders. Experience mentoring or leading junior engineers is an advantage. Travel More ❯

or computer science * Strong Python development skills * Practical experience with machine learning or deep learning in scientific/engineering contexts * Familiarity with MLOps tools and practices (Airflow, MLflow) and containerisation (e.g., Docker) * Passion for working with real-world datasets and data visualisation * Interest in material discovery, computer vision, big data, and optimisation techniques * Excellent communication and collaboration skills * Problem-solving More ❯

shifting priorities. Proficiency in Linux server administration. Experience with technologies such as Apache NiFi, MinIO, and AWS S3. Skilled in managing and patching Java and Python applications. Familiarity with containerization tools like Docker or Podman and deployment platforms such as Kubernetes or OpenShift To be Considered: Please either apply by clicking online or emailing me directly at henry.clay-davies@searchability.com More ❯

abilities and adaptability Leadership experience with strong communication skills Structured approach to quantitative challenges Comfort working in a dynamic startup environment Qualifications Microsoft Azure experience, particularly R integration Application containerization knowledge (Docker, etc.) Familiarity with Python, JavaScript, C++, bash, or other languages Web application development experience (React, .NET) Background in data security and IP protection workflows Knowledge of environmental sustainability More ❯

shifting priorities. Proficiency in Linux server administration. Experience with technologies such as Apache NiFi, MinIO, and AWS S3. Skilled in managing and patching Java and Python applications. Familiarity with containerization tools like Docker or Podman and deployment platforms such as Kubernetes or OpenShift To be Considered: Please either apply by clicking online or emailing me directly at henry.clay-davies@searchability.com More ❯

skills in Python and familiarity with JavaScript/TypeScript Working knowledge of React (not a frontend role, but an understanding of the stack is important) Hands-on experience with containerisation (Docker) and cloud deployment (Terraform, microservices, Azure) Exposure to Jupyter notebooks , and understanding of how machine learning models are developed and deployed Experience in fast-paced or start-up environments More ❯

skills in Python and familiarity with JavaScript/TypeScript Working knowledge of React (not a frontend role, but an understanding of the stack is important) Hands-on experience with containerisation (Docker) and cloud deployment (Terraform, microservices, Azure) Exposure to Jupyter notebooks , and understanding of how machine learning models are developed and deployed Experience in fast-paced or start-up environments More ❯

abilities and adaptability Leadership experience with strong communication skills Structured approach to quantitative challenges Comfort working in a dynamic startup environment Qualifications Microsoft Azure experience, particularly R integration Application containerization knowledge (Docker, etc.) Familiarity with Python, JavaScript, C++, bash, or other languages Web application development experience (React, .NET) Background in data security and IP protection workflows Knowledge of environmental sustainability More ❯

or computer science * Strong Python development skills * Practical experience with machine learning or deep learning in scientific/engineering contexts * Familiarity with MLOps tools and practices (Airflow, MLflow) and containerisation (e.g., Docker) * Passion for working with real-world datasets and data visualisation * Interest in material discovery, computer vision, big data, and optimisation techniques * Excellent communication and collaboration skills * Problem-solving More ❯

in the development of machine learning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker) A passion for gaining insight into real-world datasets and clearly communicating through data visualization techniques Interest in material discovery, computer vision, handling big data and optimisation techniques More ❯

in the development of machine learning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker) A passion for gaining insight into real-world datasets and clearly communicating through data visualization techniques Interest in material discovery, computer vision, handling big data and optimisation techniques More ❯

abilities and adaptability Leadership experience with strong communication skills Structured approach to quantitative challenges Comfort working in a dynamic startup environment Qualifications Microsoft Azure experience, particularly R integration Application containerization knowledge (Docker, etc.) Familiarity with Python, JavaScript, C++, bash, or other languages Web application development experience (React, .NET) Background in data security and IP protection workflows Knowledge of environmental sustainability More ❯

in the development of machine learning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker) A passion for gaining insight into real-world datasets and clearly communicating through data visualization techniques Interest in material discovery, computer vision, handling big data and optimisation techniques More ❯

in the development of machine learning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker) A passion for gaining insight into real-world datasets and clearly communicating through data visualization techniques Interest in material discovery, computer vision, handling big data and optimisation techniques More ❯

abilities and adaptability Leadership experience with strong communication skills Structured approach to quantitative challenges Comfort working in a dynamic startup environment Qualifications Microsoft Azure experience, particularly R integration Application containerization knowledge (Docker, etc.) Familiarity with Python, JavaScript, C++, bash, or other languages Web application development experience (React, .NET) Background in data security and IP protection workflows Knowledge of environmental sustainability More ❯

/.NET Core and Angular. Experience running production systems at scale in Microsoft Azure. Experience with CI/CD pipelines, Dev/Ops methodologies, and test automation. Experience with containerization technologies, such as Docker and Kubernetes Proven experience designing and building REST APIs. Experience with version control systems, especially GitHub. Understanding of agile methodologies and practices. Exposure to micro-SPA More ❯

DevOps technologies, including experience in one or more of: Azure PaaS, Azure IaaS and Azure DevOps DevOps Practices: Proficiency with DevOps tools and practices, including CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (Terraform, Ansible). Monitoring and Logging: Expertise in implementing and managing monitoring and logging solutions using technologies such as Log Analytics, Azure Monitor, Defender More ❯

cloud platforms. Excellent communication skills and a passion for mentoring others. Experience building SaaS products with a focus on user experience - DESIRABLE Experience with microservices, event-driven systems, and containerisation (Docker, Kubernetes) - DESIRABLE Background in product management or user-centred design - DESIRABLE Familiarity with performance optimisation and data modelling - DESIRABLE What you'd be doing: Leading the design and delivery More ❯

DevOps technologies, including experience in one or more of: Azure PaaS, Azure IaaS and Azure DevOps DevOps Practices: Proficiency with DevOps tools and practices, including CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (Terraform, Ansible). Monitoring and Logging: Expertise in implementing and managing monitoring and logging solutions using technologies such as Log Analytics, Azure Monitor, Defender More ❯

cloud platforms. Excellent communication skills and a passion for mentoring others. Experience building SaaS products with a focus on user experience - DESIRABLE Experience with microservices, event-driven systems, and containerisation (Docker, Kubernetes) - DESIRABLE Background in product management or user-centred design - DESIRABLE Familiarity with performance optimisation and data modelling - DESIRABLE What you'd be doing: Leading the design and delivery More ❯

cloud platforms. Excellent communication skills and a passion for mentoring others. Experience building SaaS products with a focus on user experience - DESIRABLE Experience with microservices, event-driven systems, and containerisation (Docker, Kubernetes) - DESIRABLE Background in product management or user-centred design - DESIRABLE Familiarity with performance optimisation and data modelling - DESIRABLE What you'd be doing: Leading the design and delivery More ❯

team player Experience working with SaaS platforms or automation tools is a plus. Comfortable working in agile environments (Scrum or Kanban). Experience with microservices, event-driven systems, and containerisation (Docker, Kubernetes) - DESIRABLE Background in product management or user-centred design - DESIRABLE Familiarity with performance optimisation and data modelling - DESIRABLE What you'd be doing: Develop backend services and components More ❯