351 to 375 of 1,270 Docker Jobs in London

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 concepts (carbon More ❯

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 concepts (carbon More ❯

microservices Distributed Systems: Scaling high-volume data systems Cloud: AWS/GCP/Azure (ECS/EKS, S3, Lambda, IAM or similar) Databases: PostgreSQL + strong data modeling Containers: Docker; orchestration tools Infra as Code: Terraform, CloudFormation Monitoring: Prometheus, Grafana, ELK Security & Compliance: Data protection and access control Nice-to-Haves AI/ML integration (PyTorch, HF etc.) MLOps (MLflow More ❯

microservices Distributed Systems: Scaling high-volume data systems Cloud: AWS/GCP/Azure (ECS/EKS, S3, Lambda, IAM or similar) Databases: PostgreSQL + strong data modeling Containers: Docker; orchestration tools Infra as Code: Terraform, CloudFormation Monitoring: Prometheus, Grafana, ELK Security & Compliance: Data protection and access control Nice-to-Haves AI/ML integration (PyTorch, HF etc.) MLOps (MLflow More ❯

microservices Distributed Systems: Scaling high-volume data systems Cloud: AWS/GCP/Azure (ECS/EKS, S3, Lambda, IAM or similar) Databases: PostgreSQL + strong data modeling Containers: Docker; orchestration tools Infra as Code: Terraform, CloudFormation Monitoring: Prometheus, Grafana, ELK Security & Compliance: Data protection and access control Nice-to-Haves AI/ML integration (PyTorch, HF etc.) MLOps (MLflow More ❯

microservices Distributed Systems: Scaling high-volume data systems Cloud: AWS/GCP/Azure (ECS/EKS, S3, Lambda, IAM or similar) Databases: PostgreSQL + strong data modeling Containers: Docker; orchestration tools Infra as Code: Terraform, CloudFormation Monitoring: Prometheus, Grafana, ELK Security & Compliance: Data protection and access control Nice-to-Haves AI/ML integration (PyTorch, HF etc.) MLOps (MLflow More ❯

to translate prototypes into reliable, maintainable ML applications. Identify opportunities to develop new ML solutions in partnership with Data Science teams. Platform & Tooling Automate and standardise ML infrastructure using Docker, Kubernetes, and Terraform. Support and develop monitoring dashboards for key ML and AI services. Ensure cloud-native, secure, and cost-efficient deployments in AWS environments. Contribute to the development of More ❯

to translate prototypes into reliable, maintainable ML applications. Identify opportunities to develop new ML solutions in partnership with Data Science teams. Platform & Tooling Automate and standardise ML infrastructure using Docker, Kubernetes, and Terraform. Support and develop monitoring dashboards for key ML and AI services. Ensure cloud-native, secure, and cost-efficient deployments in AWS environments. Contribute to the development of More ❯

modern toolchains to our customers to rapidly visualise software applications Skills/Experience Experience, designing, building and operating modern applications Hands-on expertise with a tech stack consisting of docker, containerisation, Terraform, Azure, IaaS, PaaS, microservices and API management Proficiency in modern software development practices, including Agile methodologies, DevOps, and CI/CD pipelines Expert understanding of cloud technologies, including More ❯

to translate prototypes into reliable, maintainable ML applications. Identify opportunities to develop new ML solutions in partnership with Data Science teams. Platform & Tooling Automate and standardise ML infrastructure using Docker, Kubernetes, and Terraform. Support and develop monitoring dashboards for key ML and AI services. Ensure cloud-native, secure, and cost-efficient deployments in AWS environments. Contribute to the development of More ❯

to translate prototypes into reliable, maintainable ML applications. Identify opportunities to develop new ML solutions in partnership with Data Science teams. Platform & Tooling Automate and standardise ML infrastructure using Docker, Kubernetes, and Terraform. Support and develop monitoring dashboards for key ML and AI services. Ensure cloud-native, secure, and cost-efficient deployments in AWS environments. Contribute to the development of More ❯

Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/CD pipelines, including tools such as Jenkins, GitHub Actions, or Azure DevOps. Familiarity with containerisation technologies like Docker and Kubernetes. Experience across multi cloud environments To discuss this or wider Technology roles with our recruitment team, all you need to do is apply, create a profile, upload your More ❯

Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/CD pipelines, including tools such as Jenkins, GitHub Actions, or Azure DevOps. Familiarity with containerisation technologies like Docker and Kubernetes. Experience across multi cloud environments To discuss this or wider Technology roles with our recruitment team, all you need to do is apply, create a profile, upload your More ❯

Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/CD pipelines, including tools such as Jenkins, GitHub Actions, or Azure DevOps. Familiarity with containerisation technologies like Docker and Kubernetes. Experience across multi cloud environments To discuss this or wider Technology roles with our recruitment team, all you need to do is apply, create a profile, upload your More ❯

Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/CD pipelines, including tools such as Jenkins, GitHub Actions, or Azure DevOps. Familiarity with containerisation technologies like Docker and Kubernetes. Experience across multi cloud environments To discuss this or wider Technology roles with our recruitment team, all you need to do is apply, create a profile, upload your More ❯

Automate application and infrastructure provisioning, configuration and deployment within a highly secure environment • Work as part of a multi-disciplined Agile/Scrum team Technologies : AWS Cloudformation Amazon ECS Docker Kubernetes CI/CD automation (ideally DroneCI) Git (e.g. GitHub or GitLab) advanced Linux administration and scripting (e.g. Bash) Ansible Good knowledge of security best practises and experience automating/ More ❯

validation, cleansing workflows, scheduling tools (Azure Data Factory), and ensuring data quality for machine learning applications. Machine Learning Operations (MLOps) - Experience deploying ML models to production environments using containerisation (Docker), orchestration (Kubernetes), model versioning (MLflow, DVC), monitoring model performance and drift, A/B testing frameworks, and implementing CI/CD pipelines for automated model training and deployment. Understanding of More ❯

technologies (e.g., WebSockets, gRPC, Kafka). ? Experience integrating third-party AI/ML APIs (e.g., LLMs, STT/TTS, or other complex services) into production systems. ? Experience with containerization (Docker, Kubernetes) and deploying/managing services on a major cloud platform (AWS, GCP, or Azure). This is a permanent position with hybrid working of two days a week in More ❯

technologies (e.g., WebSockets, gRPC, Kafka). Experience integrating third-party AI/ML APIs (e.g., LLMs, STT/TTS, or other complex services) into production systems. Experience with containerization (Docker, Kubernetes) and deploying/managing services on a major cloud platform (AWS, GCP, or Azure). This is a permanent position with hybrid working of two days a week in More ❯

and best practices Strong experience of Azure services, including but not limited to Azure App Service, Azure Functions, Azure SQL Database, and Azure DevOps. Experience with containerization technologies (e.g., Docker) and orchestration (e.g., Kubernetes) is a plus. Familiarity with cloud security best practices and compliance requirements. Knowledge of database systems, MS SQL, and NoSQL databases. Experience with version control systems More ❯

need excellent DevOps and Cloud experience, proven Linux knowledge and to have worked with as many of the following tools/technologies as possible: AWS Cloud Strong core Linux Docker and/or Kubernetes Ansible/Puppet/Terraform Strong CI/CD knowledge Monitoring experience Networking concepts More ❯

and best practices Strong experience of Azure services, including but not limited to Azure App Service, Azure Functions, Azure SQL Database, and Azure DevOps. Experience with containerization technologies (e.g., Docker) and orchestration (e.g., Kubernetes) is a plus. Familiarity with cloud security best practices and compliance requirements. Knowledge of database systems, MS SQL, and NoSQL databases. Experience with version control systems More ❯

benefits + bonus Hybrid : In office 3 days per week The Platform Engineering team seeks an ambitious Engineer specialising in AWS, Python, Terraform, Git for CI/CD, and Docker to create a cutting-edge platform for rapid, reliable software development and deployment. Role Responsibilities Manage and monitor AWS infrastructure. Build and maintain cloud/on-prem platforms for app More ❯

benefits + bonus Hybrid : In office 3 days per week The Platform Engineering team seeks an ambitious Engineer specialising in AWS, Python, Terraform, Git for CI/CD, and Docker to create a cutting-edge platform for rapid, reliable software development and deployment. Role Responsibilities Manage and monitor AWS infrastructure. Build and maintain cloud/on-prem platforms for app More ❯

benefits + bonus Hybrid : In office 3 days per week The Platform Engineering team seeks an ambitious Engineer specialising in AWS, Python, Terraform, Git for CI/CD, and Docker to create a cutting-edge platform for rapid, reliable software development and deployment. Role Responsibilities Manage and monitor AWS infrastructure. Build and maintain cloud/on-prem platforms for app More ❯