1 to 25 of 37 Docker Jobs in Central London

on experience with cloud platforms (AWS, Azure, or GCP). Excellent communication skills, capable of motivating and aligning technical teams. Desirable: Experience with AI tools, APIs, ML pipelines, containerisation (Docker/Kubernetes), event-driven architecture (Kafka/RabbitMQ). Benefits: Hybrid working model (minimum 3 days a week in office) 25 days annual leave plus bank holidays Flexible holiday scheme More ❯

on experience with cloud platforms (AWS, Azure, or GCP). Excellent communication skills, capable of motivating and aligning technical teams. Desirable: Experience with AI tools, APIs, ML pipelines, containerisation (Docker/Kubernetes), event-driven architecture (Kafka/RabbitMQ). Benefits: Hybrid working model (minimum 3 days a week in office) 25 days annual leave plus bank holidays Flexible holiday scheme More ❯

focus on scalability and reliability. Build tools using Go, Python, C#, or Bash. Improve observability and system performance Share knowledge and mentor team members. Tech Stack: Kubernetes (AWS & Azure), Docker, Helm, Istio Languages : Go, Python, C#, Bash Monitoring : Prometheus, Grafana, ELK Tools: Terraform, Ansible/Chef (preferred), Concourse, Nexus, SonarQube Requirements: Strong experience with Kubernetes, Linux, and containerised environments. Proficient More ❯

TypeScript, Node.js, React.js, and Express.js for building full-stack applications. Experience with AI/ML frameworks such as TensorFlow, PyTorch, OpenAI API, or LangChain. Knowledge of microservices architecture, containerization (Docker, Kubernetes), and event-driven patterns. Strong understanding of API design, including REST, GraphQL, and WebSockets. Familiarity with DevOps practices, CI/CD pipelines, and infrastructure-as-code (Terraform, AWS CDK More ❯

our technology reliable and scalable. Required Technical Skills 5+ years AWS experience (VPC, EC2, ECS, EKS, EFS, S3, Workspaces, Security Groups, CloudWatch/CloudTrail, IAM). Strong containerization expertise (Docker or similar). Scripting and automation with Python or Bash. Modern CI/CD practices and pipeline creation (e.g., Jenkins, GitHub Actions). Infrastructure as Code tools (Terraform), configuration management More ❯

deployments. Maintain and support Live systems. Optimise delivery patterns. Maintain COTS (Commercial off the shelf) products integrated within Live systems. Required Skills & Experience: C#/java, .NET Core Containerisation (Docker, Kubernetes, OpenShift) xUnit Agile working practices CI/CD tooling Scripting experience (Python, Perl, Bash, etc.) ELK (Elastic stack) JavaScript Cypress Linux experience Search engine technology (e.g., Elasticsearch) Big Data More ❯

able to unit test the framework built. Experience and Skills Strong relevant experience as a Senior SDET Experience and knowledge of API testing and the use of Postman Cypress Docker for running the Cypress container Working with Gitlab for storage of all developed test automation TDD Using Junit SonarQube Jenkins Splunk Gatling Serenity Cucumber Selenium Wiremock Hamcrest AWS Cloudwatch Jira More ❯

regulated or high-traffic environment) Previous experience working with Monitoring and Observability Tools Hands-on Kubernetes know-how, specifically with EKS. Solid IaC experience with Terraform. Experience with containerisation (Docker, Helm) and CI/CD (GitHub Actions or similar) Solid scripting/Automation experience with Python or Java A good communicator who enjoys working collaboratively across product and engineering The More ❯

with Git workflows, LAMP stack, and REST API integrations. Strong knowledge of HTML5, CSS (specificity, inheritance, positioning), JavaScript, AJAX, and DOM manipulation. Experience with unit/functional testing and Docker containerization. Excellent problem-solving and critical thinking abilities. Desirable Enterprise/ERP application development. Familiarity with AWS and cloud-native deployments. Experience with Continuous Integration/Continuous Deployment (CI/ More ❯

on serverless platforms like Google App Engine . Streaming Data: Practical experience building real-time data pipelines. DevOps & MLOps: Knowledge of Infrastructure as Code (Terraform), MLOps principles, and containerization (Docker, Kubernetes). What They Offer Work that impacts elite football performance and club-wide success Access to real-world sports data and performance analytics Flexible working options (hybrid/remote More ❯

able to show practice of commit early and deploy often Hosting: GCP (GKE and Cloud Run) essential Deployment: Terraform and GitHub Actions - essential Agile Methodology 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 ❯

async messaging architectures Experience applying latest technologies to solve complex problems and to develop innovative data and analytical solutions Working knowledge of cloud orchestration and containerisation technologies, such as Docker and Kubernetes Working knowledge of DevOps, CI/CD and Infrastructure-as-Code Understanding of NCSC Cloud Security Principles and its practical implementations Aker Systems Attributes At Aker we work 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 ❯

Fullstack development experience using JavaScript and React Experience with Flask or similar Python web frameworks Familiarity with functional programming Experience working with PostgreSQL or other SQL databases Knowledge of Docker and containerized environments Exposure to cloud platforms (ideally AWS ) Experience with financial operations systems More ❯

agile software development environments. Proficient in modern software development tools (e.g., Git/GitHub, DevOps tools) with a commitment to early commits and frequent deployments. Preferred Qualifications: Experience with Docker or containerized applications, particularly multi-container architecture. Experience with biological or scientific data (e.g., genomics, transcriptomics, proteomics) or pharmaceutical industry experience, especially in designing data visualisations. Knowledge of agent-based More ❯

engagement skills Knowledge or appreciation of some the listed technologies; Foreman; Puppet; Satellite; Ansible; Nagios; AI/ML; Big Data; Elastic Search; IaaS; PaaS; HPC; DevOps; AWS; Azure; Kubernetes, Docker, OpenShift; Linux based applications 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 More ❯

regulated or high-traffic environment) Previous experience working with Monitoring and Observability Tools Hands-on Kubernetes know-how, specifically with EKS. Solid IaC experience with Terraform. Experience with containerisation (Docker, Helm) and CI/CD (GitHub Actions or similar) A good communicator who enjoys working collaboratively across product and engineering The client is willing to take someone that doesn't More ❯

London office. What theyre looking for Strong experience in cloud infrastructure engineering (multi-cloud is ideal). Deep hands-on experience with PyTorch and other ML frameworks. Kubernetes and Docker expertise at scale. Experience setting up CI/CD pipelines for ML or data-heavy workloads. Someone who has worked with ML workloads in production. A self-starter who thrives More ❯

office, or Market/Credit risk with a good understanding of risk sensitivities and f2b processes. Hands-on experience with dynamic scalability; cloud deployment (EKS/Nomad), container/docker deployment, GRPC services, Cloud based services (Prometheus, Elastic Search, databases, Redis, ), Experience with Kafka or event processing thru message bus. More ❯

Familiarity with front-end technologies such as HTML , CSS , and JavaScript . Experience in Web API design and implementation. Desirable: Commercial experience with Typescript . Experience with containerization (e.g., Docker ) and container orchestration (e.g., Kubernetes ). Experience in SPAs and responsive web development, particularly with Angular . Familiarity with enterprise messaging systems (e.g., NServiceBus , Azure Service Bus More ❯

Python, Java, C++, C#) You're happy to work with the following tech stack (you don't need experience with all): Elixir, Ember, Elm, Phoenix, LiveView, Python, PostgreSQL, AWS, Docker You have an analytical mindset and enjoy problem solving You have experience of working in start-ups/SMEs and have good business acumen Ideally you will have a good More ❯

GCP) , we'd love to hear from you. What You'll Bring: CI/CD & DevOps Tooling Deep hands-on experience with Jenkins , including: Shared Libraries SonarQube & Nexus integration Docker builds and image publishing Google Artifact Registry (GAR) integration Infrastructure & Cloud Strong knowledge of GCP : GKE , VPC networking, Firewall rules Virtual Data Centre (VDC) architecture Google Artifact Registry Scripting & Automation More ❯

months. What theyre looking for Strong experience in cloud infrastructure engineering (GCP, AWS, or Azure is fine) Deep hands-on experience with PyTorch and other ML frameworks. Kubernetes and Docker expertise at scale. Experience with training models. Experience setting up CI/CD pipelines for ML or data-heavy workloads. Someone who has worked with ML workloads in production. A More ❯

months. What theyre looking for Strong experience in cloud infrastructure engineering (GCP, AWS, or Azure is fine) Deep hands-on experience with PyTorch and other ML frameworks. Kubernetes and Docker expertise at scale. Experience with training models. Experience setting up CI/CD pipelines for ML or data-heavy workloads. Someone who has worked with ML workloads in production. A More ❯

London office. What theyre looking for Strong experience in cloud infrastructure engineering (multi-cloud is ideal). Deep hands-on experience with PyTorch and other ML frameworks. Kubernetes and Docker expertise at scale. Experience setting up CI/CD pipelines for ML or data-heavy workloads. Someone who has worked with ML workloads in production. A self-starter who thrives More ❯