76 to 100 of 234 Docker Jobs in the City of London

infrastructure provisioning, configuration, and deployment within a highly secure environment. Collaborate as part of a multi-disciplined Agile/Scrum team. Key Technologies Cloud & Infrastructure : AWS CloudFormation, Amazon ECS, Docker, Kubernetes Automation & CI/CD : CI/CD automation (ideally DroneCI), Git (GitHub or GitLab), Ansible Scripting & Administration : Advanced Linux administration and scripting (e.g., Bash) Security : Strong knowledge of security More ❯

compliance, governance of all ML processes and workflows. What We Look For Experience building and operating ML infrastructure, ideally in production environments serving real users. Strong proficiency in containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows. Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems. Practical knowledge More ❯

. Experience setting up CI/CD pipelines and integrating with Git-based workflows. Familiarity with monitoring, observability, and logging stacks (CloudWatch, ELK, Prometheus, Grafana). Knowledge of containerisation (Docker). Interest in capital markets infrastructure (e.g. market-making, SBL, or Delta One) or prior experience supporting trading systems. Example Projects You May Work On Deploying their proprietary trading platform More ❯

compliance, governance of all ML processes and workflows. What We Look For Experience building and operating ML infrastructure, ideally in production environments serving real users. Strong proficiency in containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows. Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems. Practical knowledge 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 ❯

or data reconciliation. Familiarity with regulatory regimes such as EMIR, SFTR, MiFID II, or CFTC. Hands-on experience with version-controlled notebooks, CI/CD for ML, or containerisation (Docker/Kubernetes) Core Competencies: Strong problem-solver with a data-driven mindset. Practical and commercially aware in applying AI/ML to FS use cases. Independent thinker who thrives in More ❯

or data reconciliation. Familiarity with regulatory regimes such as EMIR, SFTR, MiFID II, or CFTC. Hands-on experience with version-controlled notebooks, CI/CD for ML, or containerisation (Docker/Kubernetes) Core Competencies: Strong problem-solver with a data-driven mindset. Practical and commercially aware in applying AI/ML to FS use cases. Independent thinker who thrives in More ❯

Reliability Engineering Proven track record building and maintaining CI/CD pipelines in production environments Deep understanding of monitoring, logging, and observability tools and practices Experience with container orchestration (Docker, Kubernetes) and microservices architectures Knowledge of security best practices for cloud-native applications Scale & Performance Focus Experience building systems that handle millions of requests/events per day Understanding of More ❯

Reliability Engineering Proven track record building and maintaining CI/CD pipelines in production environments Deep understanding of monitoring, logging, and observability tools and practices Experience with container orchestration (Docker, Kubernetes) and microservices architectures Knowledge of security best practices for cloud-native applications Scale & Performance Focus Experience building systems that handle millions of requests/events per day Understanding of More ❯

APIs and microservices architecture using Swagger and Postman Handle distributed task processing with Celery Apply TDD principles using PyTest for automated testing Use Terraform for Infrastructure as Code and Docker for containerisation Contribute to solution design and participate in architectural decision-making Ensure systems are scalable, maintainable, and high-performing Coach and support junior engineers; assist with onboarding Collaborate with 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 ❯

control + Agile development environments. Azure Data Engineer certification preferred -eg- Azure Data Engineer Associate. Advantageous skills: Azure Event Hubs, Kafka, data visualisation tools, Power BI, Tableau, Azure DevOps, Docker, Kubernetes, Jenkins. More ❯

with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow). Proficiency in working with cloud services (AWS, GCP, or Azure). Strong understanding of CI/CD, containerisation (Docker), and orchestration (Kubernetes). Excellent problem-solving skills and ability to work independently in a fast-paced environment. Desirable: Experience with NLP, computer vision, or time-series forecasting. Familiarity with More ❯

strategy, support, and insights to optimize integration and documentation Proven skills and experience to help you succeed in this role: Proficient in AWS (ECS, ECR, Fargate), Python, Node.js, and Docker Skilled in infrastructure-as-code (Terraform, Ansible) and CI/CD pipelines using Azure DevOps Strong grasp of distributed systems, API security (OAuth, API keys, JWT), and Apigee/APIM More ❯

with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow). Proficiency in working with cloud services (AWS, GCP, or Azure). Strong understanding of CI/CD, containerisation (Docker), and orchestration (Kubernetes). Excellent problem-solving skills and ability to work independently in a fast-paced environment. Desirable: Experience with NLP, computer vision, or time-series forecasting. Familiarity with More ❯

as Lovable, Bolt, or Cursor as a collaborator. Nice to Have: Some experience in backend development (Python/Java/Go) Experience with container orchestration and service containerisation (Kubernetes, Docker) Worked in an IoT or Edge-oriented architectures Experience or knowledge in retail POS, inventory, or loyalty systems More ❯

as Lovable, Bolt, or Cursor as a collaborator. Nice to Have: Some experience in backend development (Python/Java/Go) Experience with container orchestration and service containerisation (Kubernetes, Docker) Worked in an IoT or Edge-oriented architectures Experience or knowledge in retail POS, inventory, or loyalty systems More ❯

protocols and patterns (eg. WebSockets, SSE) Designed and implemented event-driven distributed systems (eg. 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) Worked with AI development tools (eg. Bolt, Lovable, Cursor) to speed up iteration & prototyping Nice to Have More ❯

and platform monitoring Enabling robust security practices across DevOps delivery teams Core Skills & Experience Strong experience with AWS MSK (Kafka) and secure AWS environments Proven production experience with Kubernetes, Docker, and Helm Proficiency with Terraform and CI/CD pipelines (Drone/GitLab) Excellent understanding of Kafka internals and secure stream processing Experience with monitoring tools (Prometheus, Grafana, CloudWatch) Knowledge More ❯

protocols and patterns (eg. WebSockets, SSE) Designed and implemented event-driven distributed systems (eg. 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) Worked with AI development tools (eg. Bolt, Lovable, Cursor) to speed up iteration & prototyping Nice to Have More ❯

and platform monitoring Enabling robust security practices across DevOps delivery teams Core Skills & Experience Strong experience with AWS MSK (Kafka) and secure AWS environments Proven production experience with Kubernetes, Docker, and Helm Proficiency with Terraform and CI/CD pipelines (Drone/GitLab) Excellent understanding of Kafka internals and secure stream processing Experience with monitoring tools (Prometheus, Grafana, CloudWatch) Knowledge More ❯

You have a thorough understanding of Computer Science fundamentals such as OOP, Design Patterns, Data Structures, Algorithms Other tech in the stack includes Scala, React, Spring, Oracle, Redis, Kubernetes, Docker and Linux so previous exposure to any of these would be beneficial You're collaborative with good communication skills What's in it for you: As a Java Developer/ More ❯