101 to 125 of 957 Docker Jobs in the UK excluding London

WebSockets, SSE) Designed and implemented event-driven distributed systems (e.g. Kafka, Pulsar, RabbitMQ, MQTT, or similar) Experience with container orchestration and service containerisation (Kubernetes, Docker) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) AI-Native development: use AI tools such as CoPilot or Cursor ...

3+ years of full stack development experience Strong Java unit testing (with a side of TDD), Maven, Git and a sense of humor. Kubernetes & Docker Working in a team development environment Thorough understanding of Computer Science fundamentals such as Data Structures, Algorithms and Design Patterns Amazon Web Services, Azure ...

architectures. Full-stack proficiency with modern frameworks (e.g., React). Solid understanding of software architecture, design principles, and microservices. Experience with serverless architecture, containers (Docker, Kubernetes), and CI/CD pipelines. Excellent problem-solving, debugging, and communication skills. Preferred Qualifications Experience with databases such as PostgreSQL, Redis, TimescaleDB. Familiarity with ...

OpenAI API, Hugging Face Transformers, LangChain, Langraph, RAG pipelines Data & Analytics: Pandas, NumPy, Spark, Databricks, Hadoop, Vector Databases, Snowflake Model Deployment: MLflow, FastAPI, Flask, Docker, Kubernetes Cloud & Infrastructure: AWS, Azure, GCP CI/CD pipelines (GitLab, Jenkins) Desirable Skills Experience with prompt engineering, fine-tuning LLMs, and building RAG-based ...

other cloud platforms Knowledge of Infrastructure as Code (e.g., Terraform) Exposure to event-driven architecture and messaging systems Containerization and orchestration experience (e.g., Docker, Kubernetes) Package & Working Model Salary: Up to £85,000 Hybrid working: 3 days per week onsite in Nottinghamshire HQ Flexible hours and collaborative team culture Opportunity ...

manage multiple priorities effectively. It would be a bonus if you had: Experience in multi-site or engineering-focused organisations. Familiarity with containerization (Docker, Kubernetes). Relevant certifications such as ITIL, MCSE, CCNA/CCNP, AWS or Azure Solutions Architect . Bachelors degree in Computer Science , Information Technology , or equivalent ...

agile, cross-functional team. Nice-to-Have Experience with distributed systems and asynchronous architectures. Knowledge of observability tools, testing frameworks, and containerisation (Docker, Kubernetes). Previous involvement in early-stage or founding engineering teams. Why Join? Play a pivotal role in shaping a product from the ground up Influence technical ...

agile, cross-functional team. Nice-to-Have Experience with distributed systems and asynchronous architectures. Knowledge of observability tools, testing frameworks, and containerisation (Docker, Kubernetes). Previous involvement in early-stage or founding engineering teams. Why Join? Play a pivotal role in shaping a product from the ground up Influence technical ...

similar. Practical expertise using Infrastructure as Code tools such as Terraform or CloudFormation. Deep knowledge of securing AWS-based environments, container platforms (Docker, Kubernetes) and cloud-native services. Experience implementing and managing security tools including SAST, DAST, vulnerability scanners and container security tools. Strong scripting and automation skills using Bash ...

end. A collaborative mindset, strong communication skills and the confidence to take ownership. Nice to have (not essential): Next.js or other React frameworks. Containerisation (Docker) and CI/CD pipelines. Cloud experience (AWS, GCP or Azure). Experience or strong interest in AI/ML/LLMs and how they ...

REST APIs and API documentation tools (e.g. OpenAPI) Relational and non-relational databases ( SQL & NoSQL ) Git , GitLab, and CI/CD pipelines Docker , containers, and microservice-based infrastructure Bonus experience (not required, but nice to have): NestJS , Next.js , or Gatsby Automated testing with Jest Message queues (e.g. RabbitMQ ) Search technologies ...

/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs, and microservice integrations supporting AI features. Excellent problem-solving, communication, and cross-team collaboration skills. Proven ...

/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs, and microservice integrations supporting AI features. Excellent problem-solving, communication, and cross-team collaboration skills. Proven ...

/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs, and microservice integrations supporting AI features. Excellent problem-solving, communication, and cross-team collaboration skills. Proven ...

/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs, and microservice integrations supporting AI features. Excellent problem-solving, communication, and cross-team collaboration skills. Proven ...

/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs, and microservice integrations supporting AI features. Excellent problem-solving, communication, and cross-team collaboration skills. Proven ...

/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs, and microservice integrations supporting AI features. Excellent problem-solving, communication, and cross-team collaboration skills. Proven ...

/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs, and microservice integrations supporting AI features. Excellent problem-solving, communication, and cross-team collaboration skills. Proven ...

/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs, and microservice integrations supporting AI features. Excellent problem-solving, communication, and cross-team collaboration skills. Proven ...

/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs, and microservice integrations supporting AI features. Excellent problem-solving, communication, and cross-team collaboration skills. Proven ...

/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs, and microservice integrations supporting AI features. Excellent problem-solving, communication, and cross-team collaboration skills. Proven ...

/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs, and microservice integrations supporting AI features. Excellent problem-solving, communication, and cross-team collaboration skills. Proven ...

/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs, and microservice integrations supporting AI features. Excellent problem-solving, communication, and cross-team collaboration skills. Proven ...

/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs, and microservice integrations supporting AI features. Excellent problem-solving, communication, and cross-team collaboration skills. Proven ...

/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs, and microservice integrations supporting AI features. Excellent problem-solving, communication, and cross-team collaboration skills. Proven ...