1,001 to 1,025 of 2,686 Docker Jobs in England

challenge requirements, and design smarter solutions. A pragmatic, delivery-focused mindset with an interest in clean architecture and software craftsmanship. (Bonus if you’ve worked with Kafka, Azure, or Docker/Kubernetes, or if you’ve built systems in R&D, motorsport, or real-time data environments). Click the ‘Apply’ button to find out more. Don’t worry if More ❯

certified hosting platform Essential Requirements: • Strong commitment to customer service and clear communication • Solid Linux sysadmin knowledge (server management, troubleshooting) • Experience with Apache, Nginx, PHP, MySQL, Postgres, and Docker • Python scripting experience (or strong willingness to learn) • Familiarity with Git workflows and YAML configuration • Understanding of GitOps principles (or a willingness to learn) • Awareness of information security practices (ISO More ❯

certified hosting platform Essential Requirements: • Strong commitment to customer service and clear communication • Solid Linux sysadmin knowledge (server management, troubleshooting) • Experience with Apache, Nginx, PHP, MySQL, Postgres, and Docker • Python scripting experience (or strong willingness to learn) • Familiarity with Git workflows and YAML configuration • Understanding of GitOps principles (or a willingness to learn) • Awareness of information security practices (ISO More ❯

skills Hands-on experience in technical integrations and POCs Comfortable coding in any high-level programming language (Java, Go, Python) Strong hands-on knowledge of Kubernetes, AWS, Azure, GCP, Docker, Prometheus, and OpenTelemetry Industry knowledge and opinions on Monitoring, Observability, Log Management, SIEM Engineering/DevOps Background - advantage Experience in Technical Sales of Log Analytics/Monitoring/APM/ More ❯

Expertise in Python and its ML ecosystem (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy). Strong background in statistical analysis, algorithm design, and software engineering best practices. Experience with Docker and Kubernetes for containerization and orchestration. Proficiency with modern version control systems (Git). Familiarity with common data sources and types within the energy sector (e.g., SCADA data, seismic data More ❯

Python Infrastructure: AWS/GCP (experience with modern cloud environments is a plus) AI/ML: Exposure to applied AI, data models, or large language models preferred Tooling: GitHub, Docker, CI/CD pipelines About You 7+ years of professional experience in software engineering, with at least 2 years in a leadership or management role. Strong background in full-stack More ❯

Python Infrastructure: AWS/GCP (experience with modern cloud environments is a plus) AI/ML: Exposure to applied AI, data models, or large language models preferred Tooling: GitHub, Docker, CI/CD pipelines About You 7+ years of professional experience in software engineering, with at least 2 years in a leadership or management role. Strong background in full-stack More ❯

Python Infrastructure: AWS/GCP (experience with modern cloud environments is a plus) AI/ML: Exposure to applied AI, data models, or large language models preferred Tooling: GitHub, Docker, CI/CD pipelines About You 7+ years of professional experience in software engineering, with at least 2 years in a leadership or management role. Strong background in full-stack More ❯

Python Infrastructure: AWS/GCP (experience with modern cloud environments is a plus) AI/ML: Exposure to applied AI, data models, or large language models preferred Tooling: GitHub, Docker, CI/CD pipelines About You 7+ years of professional experience in software engineering, with at least 2 years in a leadership or management role. Strong background in full-stack More ❯

Python Infrastructure: AWS/GCP (experience with modern cloud environments is a plus) AI/ML: Exposure to applied AI, data models, or large language models preferred Tooling: GitHub, Docker, CI/CD pipelines About You 7+ years of professional experience in software engineering, with at least 2 years in a leadership or management role. Strong background in full-stack More ❯

TDD or similar testing practices Attention to detail, especially in UX/UI What You'll Get to Work With: Modern microservices architecture powering high-volume systems Containerisation using Docker and Kubernetes for scalable deployments Cloud-native platforms and automated CI/CD pipelines Real-time performance engineering and distributed computing challenges Secure development practices with a focus on system More ❯

State management using Zustand and TanStack Query for seamless client-server sync Integration of streaming AI endpoints via AI SDK React, including WebSocket handling and graceful degradation Deployment via Docker containers with multi-stage builds and CI/CD pipelines using GitHub Actions Collaboration with DevOps for AWS CloudFront/S3 delivery, caching, and CDN optimization Accessibility leadership (WCAG 2.1 More ❯

TDD or similar testing practices Attention to detail, especially in UX/UI What You'll Get to Work With: Modern microservices architecture powering high-volume systems Containerisation using Docker and Kubernetes for scalable deployments Cloud-native platforms and automated CI/CD pipelines Real-time performance engineering and distributed computing challenges Secure development practices with a focus on system More ❯

TDD or similar testing practices Attention to detail, especially in UX/UI What You'll Get to Work With: Modern microservices architecture powering high-volume systems Containerisation using Docker and Kubernetes for scalable deployments Cloud-native platforms and automated CI/CD pipelines Real-time performance engineering and distributed computing challenges Secure development practices with a focus on system More ❯

transformers, and neural networks Expert-level Python; strong in R, Java, or C++ Hands-on with TensorFlow, PyTorch, Keras, Hugging Face, LangChain Cloud-native mindset: AWS, Azure, GCP + Docker, Kubernetes, CI/CD Deep understanding of ML/DL algorithms, model evaluation, and data engineering Strong communicator and collaborator across technical and business teams Bonus Points Experience with NVIDIA More ❯

State management using Zustand and TanStack Query for seamless client-server sync Integration of streaming AI endpoints via AI SDK React, including WebSocket handling and graceful degradation Deployment via Docker containers with multi-stage builds and CI/CD pipelines using GitHub Actions Collaboration with DevOps for AWS CloudFront/S3 delivery, caching, and CDN optimization Accessibility leadership (WCAG 2.1 More ❯

tools/ways of working (e.g. git/GitHub, DevOps tools for deployment) – should be able to show practice of commit early and deploy often Preferred qualifications: Experience with Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches More ❯

software such as Ansible/Puppet Knowledge of scripting with Bash, Python, and/or Git Experience of AWS Automation tools(Ansible, Puppet, Chef) Virtualization and containers(KVM, VMware, Docker, Podman) What we will do for you: Competitive compensation Pension scheme DXC Select Our comprehensive benefits package (includes private health/medical insurance, childcare vouchers, gym membership and more) Perks More ❯

tools/ways of working (e.g. git/GitHub, DevOps tools for deployment) – should be able to show practice of commit early and deploy often Preferred qualifications: Experience with Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches More ❯

TDD or similar testing practices Attention to detail, especially in UX/UI What You'll Get to Work With: Modern microservices architecture powering high-volume systems Containerisation using Docker and Kubernetes for scalable deployments Cloud-native platforms and automated CI/CD pipelines Real-time performance engineering and distributed computing challenges Secure development practices with a focus on system More ❯

tools/ways of working (e.g. git/GitHub, DevOps tools for deployment) – should be able to show practice of commit early and deploy often Preferred qualifications: Experience with Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches More ❯

Familiarity with AI and automation services such as Open AI, Eleven Labs, Whisper, Anthropic. Experience integrating text-to-speech , speech recognition , or chatbot/LLM APIs . Experience with Docker , CI/CD , and modern DevOps pipelines . Understanding of authentication (OAuth, Clerk, Auth0, etc.) and security principles. Experience deploying on AWS , or similar platforms. You’ll Succeed If You More ❯

/Desirable Skills Familiarity with AI and automation services such as OpenAI, ElevenLabs, Whisper, Anthropic. Experience integrating text-to-speech, speech recognition, or chatbot/LLM APIs. Experience with Docker, CI/CD, and modern DevOps pipelines. Understanding of authentication (OAuth, Clerk, Auth0, etc.) and security principles. Experience deploying on AWS, Vercel, or similar platforms. You’ll Succeed If You More ❯

a focus on delivering quality user experiences Bonus Skills (Nice to Have) Experience with React and Redux Knowledge of Google Cloud Platform (GCP) or similar Experience with Dialogflow CX, Docker, or CI/CD pipelines About the Company: They help organisations harness the power of AI to drive efficiency, enhance user experience, and create meaningful impact. Their AI-driven solutions More ❯

customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving More ❯