46 to 70 of 1,098 Docker Jobs in London

scikit-learn. Strong understanding of algorithms, data structures, and software design principles. Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization technologies (Docker, Kubernetes). Familiarity with databases (SQL, NoSQL) and data processing tools (Pandas, NumPy). Soft Skills Excellent problem-solving skills. Strong communication abilities. Capability to work ...

accelerators Essential Experience in SRE, DevOps, or Cloud Infrastructure Engineering roles Strong knowledge of AWS Azure, or GCP environments Hands-on experience with Kubernetes, Docker, and container orchestration Proven experience building and maintaining CI/CD pipelines Strong experience with infrastructure-as-code (Terraform, Helm, or CloudFormation) Working knowledge ...

with SQL and NoSQL databases Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries) Strong problem-solving and communication ...

Workfront, or DAM/PIM systemsFamiliarity with content supply chain, content operations, or omnichannel marketing technologyExperience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)Knowledge of data engineering tools: pandas, PySpark, Airflow, or equivalent pipeline frameworksExposure to ML frameworks or LLM APIs (Anthropic, OpenAI, Hugging Face) for applied ...

/PIM systems Familiarity with content supply chain, content operations, or omnichannel marketing technology Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) Knowledge of data engineering tools: pandas, PySpark, Airflow, or equivalent pipeline frameworks Exposure to ML frameworks or LLM APIs (Anthropic, OpenAI, Hugging Face) for applied ...

automation. Familiarity with AI/ML frameworks, APIs or Generative AI tools. Exposure to Spark, Kafka or other distributed data processing technologies. Experience with Docker, containers or Kubernetes. Familiarity with infrastructure as code, such as Terraform or CloudFormation. Exposure to AWS services and cloud-native application development. An understanding ...

Building enterprise‐grade web applications or backend services Cloud & DevOps Experience with cloud platforms such as AWS or Azure Containerisation and orchestration using Docker and Kubernetes Infrastructure as Code (Terraform, Ansible or equivalent) Data & Integration Working with SQL and NoSQL data stores Familiarity with structured and unstructured data concepts Messaging ...

Kubernetes administration across on-premises and cloud environments (EKS preferred, AKS, GKE), with proficiency in networking, RBAC, pod security, service mesh (Istio), and Docker image management Platform Engineering & Developer Tooling: Experience implementing developer portals (Backstage), artifact repositories (JFrog Artifactory, Nexus), API gateways, and self‐service platform engineering tools to support ...

such as Jenkins, Concourse, Maven or Bamboo. Automation and scripting using Ansible, Bash, PowerShell, Puppet or Python. Managing virtualised and containerised environments including VMware, Docker, Kubernetes or OpenShift. Working with cloud platforms such as AWS, Microsoft Azure or Google Cloud. Using collaboration and delivery tools such as Jira, Confluence ...

Software Engineering practices and principles, such as CI/CD pipelines for verifying, building, testing and pushing deployment artefacts Experience in OCI containerisation (e.g. Docker) and associated orchestration technologies such as Kubernetes Experience implementing observability solutions, including centralised logging, monitoring, alerting, and operational dashboards Strong knowledge of infrastructure and cloud ...

with CI/CD pipelines and automated testing frameworks. Experience with various architecture patterns eg microservices and event-driven. Experience with containerization technologies (e.g. Docker, Kubernetes). Proven ability to manage and lead engineering teams to success. Expertise in designing scalable and secure software architectures. Desirable : Knowledge of emerging technologies ...

/Cosmos DB, Key Vault, Azure Monitor, Log Analytics). Containers, Container Apps, Kubernetes and microservices Experience designing, building and operating containerised microservices, including Docker image design, optimisation, Container Apps, Kubernetes (preferably AKS) deployment and scaling strategies, and Kubernetes configuration, secrets and traffic management. Infrastructure as Code and platform automation ...

apply basic security principles at infrastructure and application level. Experience with Terraform, GitHub Actions, Infrastructure as Code, AWS or other cloud ecosystems. Experience with Docker and Kubernetes and running containerized workloads. Knowledge of Semantic Search and RAG based workflows. Knowledge or experience with MCP servers. Knowledge/interest in payment ...

some, familiarity with several and a willingness to learn is key: Tools and Services: Git/GitHub, Atlassian Tools, Telegraf, InfluxDB, Consul, LibreNMS, Docker, Kubernetes, Jenkins, Full stack: Database (Relational & Time series), Web/HTTP, backend Strong experience in Alerta, Grafana, Prometheus, Mimir, Alloy, Jenkins Infrastructure as Code: Terraform, Ansible ...

security best practices and tools Proficiency with Terraform for infrastructure as code Strong experience with Kubernetes for container orchestration Proficiency with containerization technologies like Docker Experience with GitHub Actions Solid understanding of cloud platforms (Ideally Azure but AWS, GCP accepted) Experience with observability tools (e.g., Prometheus, Grafana, ELK stack) Working ...

desirable)) and NoSQL (MongoDB (desirable)); cloud platforms, infrastructure, IaC, containerisation, and compute: AWS (must-have); Azure (desirable); Terraform (must-have) and policy as code; Docker (must-have); serverless architectures; sandboxes and enclaves; GitOps and CI/CD pipelines; and GenAI, LLMs, and agentic frameworks, APIs and SDKs (such as Anthropic ...

improvement initiatives. Essential Skills & Experience AWS Platform Engineering DevOps/DevSecOps Engineering Infrastructure as Code (Terraform) Kubernetes & Amazon EKS CI/CD Pipeline Development Docker & Containerisation AWS Security & IAM Monitoring & Observability (CloudWatch, Prometheus, Grafana) Linux Administration Python and/or Bash Incident Management & Troubleshooting Agile Delivery Environments Working directly with ...

able to translate between technical and non-technical stakeholders Desirable: AWS certifications (Solutions Architect, DevOps Engineer etc.). Experience with Kubernetes/EKS, containerisation (Docker), or serverless patterns. Understanding of SRE concepts (SLIs/SLOs, error budgets) and operational excellence. Participation in platform engineering or DevOps communities of practice. Qualifications ...

financial services environments. Experience with data governance and quality tools such as Dataplex, Data Catalog, dbt, or Great Expectations. Experience with containerization and orchestration (Docker, Kubernetes/GKE). Exposure to other data platforms such as Snowflake, Databricks, or Kafka. Experience supporting AI/ML workloads or Vertex AI pipelines. ...

stakeholders. Desirable Experience Microsoft Azure certifications. HashiCorp Terraform certification or equivalent practical experience. Experience with Azure Kubernetes Service (AKS) and container technologies such as Docker and Kubernetes. Experience with Azure Landing Zones and enterprise-scale Azure environments. Experience with GitOps approaches and tooling. Experience with policy-as-code and automated ...

Models (LLMs) Retrieval-Augmented Generation (RAG) Reinforcement Learning Frameworks & Technologies PyTorch TensorFlow Scikit-learn LangChain Hugging Face OpenAI and Azure OpenAI Services Vector Databases Docker Kubernetes Cloud Platforms Microsoft Azure Azure AI Services Azure Machine Learning AWS or Google Cloud (advantage) Development Practices Git DevOps/DevSecOps CI/ ...

Jenkins, GitLab CI, GitHub Actions, and configuration management tools (Terraform, Ansible, etc.). Cloud & Container Platforms: Deep understanding of cloud infrastructure (AWS preferred), Kubernetes, Docker, and serverless technologies. Scripting & Programming: Proficiency in Python, Bash, or similar scripting languages for automation and environment tooling. Systems & Networking: Strong knowledge of Linux systems ...

Storage networking, private endpoints and identity-based authentication. Experience automating Azure Storage configuration using Terraform, Bicep or PowerShell. Exposure to Azure Kubernetes Service (AKS), Docker or Kubernetes. Experience with Azure Landing Zones or enterprise Azure environments. Familiarity with GitOps practices. Exposure to policy-as-code or automated governance. Experience with ...

public cloud providers (AWS, Azure, GCP). DevOps Practices: Strong experience with GitHub CI/CD pipelines, version control systems, and containerisation technologies (e.g., Docker). Experience Project Leadership: Demonstrated experience delivering cloud migration, optimisation, or transformation projects. Client-Facing Experience: Proven track record of engaging with clients, understanding their ...

development tools, with an understanding of prompt engineering and the ability to integrate or consume AI/LLM capabilities within software applications. Knowledge of Docker and Kubernetes or similar containerisation technologies. Experience with CI/CD, DevOps practices and Git. Proficiency in modern web technologies and frameworks, including JavaScript, React ...