176 to 200 of 499 Docker Jobs in London

experience with modern cloud environments is a plus) AI/ML: Exposure to applied AI, data models, or large language models preferred Tooling: GitHub, Docker, CI/CD pipelines About You 7+ years of professional experience in software engineering, with at least 2 years in a leadership or management role. ...

AutoGen, CrewAI Tools: GitHub Copilot, Cursor, LangSmith, LangFuse, Weights & Biases, MLflow, Humanloop Cloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks, Modal Infra: Python, Docker, Kubernetes, SQL/NoSQL, PyTorch, FastAPI, Redis ...

experience developing using these technologies. - Experience using Linux as a target development platform? - Hands-on experience with technologies such as REST, HTTP, JSON and docker - Excellent communication skills and comfortable providing clear accurate progress updates and able to document requirements and work completed. - Have worked in an Agile environment working ...

experience developing using these technologies. - Experience using Linux as a target development platform - Hands-on experience with technologies such as REST, HTTP, JSON and docker - Excellent communication skills and comfortable providing clear accurate progress updates and able to document requirements and work completed. - Have worked in an Agile environment working ...

product and business goals. Required Skills & Qualifications: 8+ years of experience in DevOps, SRE, or Infrastructure Engineering roles. Strong hands-on experience with AWS, Docker, Kubernetes, and Terraform. Proficiency in CI/CD pipelines and Linux systems administration. Deep understanding of high-availability architecture, networking, load balancing, and distributed systems. ...

product and business goals. Required Skills & Qualifications: 8+ years of experience in DevOps, SRE, or Infrastructure Engineering roles. Strong hands-on experience with AWS, Docker, Kubernetes, and Terraform. Proficiency in CI/CD pipelines and Linux systems administration. Deep understanding of high-availability architecture, networking, load balancing, and distributed systems. ...

skills. Excellent communication and teamwork skills. Nice-to-Have: Experience with CI/CD pipelines using tools like GitHub Actions. Experience with containerization (e.g., Docker). Familiarity with serverless architectures. Experience with SonarCloud or Snyk for code quality and security. Familiarity with TurboRepo for managing monorepos. Knowledge of Storybook ...

capability. Hands-on experience building data pipelines, APIs and backend services. Solid understanding of cloud platforms (Azure/GCP) and Bash scripting. Advanced Docker knowledge, including storage, volumes and permissions. Strong grounding in software engineering principles, version control and CI/CD. Ability to review and improve others’ code with ...

capability. Hands-on experience building data pipelines, APIs and backend services. Solid understanding of cloud platforms (Azure/GCP) and Bash scripting. Advanced Docker knowledge, including storage, volumes and permissions. Strong grounding in software engineering principles, version control and CI/CD. Ability to review and improve others’ code with ...

Application Proxy, federated authentication, SAML/OAuth integration, and implementing least-privilege access controls across Azure subscriptions and resources. Container Services - Working knowledge of Docker containerisation and Azure Kubernetes Service (AKS) for supporting containerised applications. DevOps & CI/CD Pipelines - Experience supporting continuous integration and deployment pipelines using Azure DevOps ...

databases (FAISS, Pinecone, Weaviate) and graph technologies (Neo4j). Familiarity with observability tools and AI evaluation frameworks. Strong grasp of containerization and cloud deployment (Docker, AWS, Azure). Tools & Platforms GitHub Copilot, ChatGPT/GPT-4, Claude for AI-assisted development. LangChain, LlamaIndex for RAG implementations. SonarQube for code security ...

databases (FAISS, Pinecone, Weaviate) and graph technologies (Neo4j). Familiarity with observability tools and AI evaluation frameworks. Strong grasp of containerization and cloud deployment (Docker, AWS, Azure). Tools & Platforms GitHub Copilot, ChatGPT/GPT-4, Claude for AI-assisted development. LangChain, LlamaIndex for RAG implementations. SonarQube for code security ...

similar Basic networking knowledge (ports, tunnels, proxies) SQL or NoSQL experience Git disciplinePreferred Experience with LLM APIs (OpenAI, Anthropic, DeepSeek, Qwen) Exposure to Docker or Kubernetes Familiarity with cloud providers (AWS/Azure/GCP) Coursework or experience in ML, transformers, NLP, or distributed systemsBonus (not required) Interest in real ...

platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed ...

platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed ...

Lambda, API Gateway, Cognito, S3 and OpenSearch Node.js/TypeScript and Python DynamoDB and PostgreSQL Serverless Architecture and microservices patterns. Infrastructure tools like Terraform, Docker, and CI/CD pipelines. Security and compliance practices, especially relevant in healthcare. What You’ll Do: Design and build robust, scalable cloud-first backend ...

platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed ...

platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed ...

Lambda, API Gateway, Cognito, S3 and OpenSearch Node.js/TypeScript and Python DynamoDB and PostgreSQL Serverless Architecture and microservices patterns. Infrastructure tools like Terraform, Docker, and CI/CD pipelines. Security and compliance practices, especially relevant in healthcare. What You’ll Do: Design and build robust, scalable cloud-first backend ...

platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed ...

platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed ...

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 ...

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 ...

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 ...

application services with CI/CD pipelines and contributing to application monitoring/observability using tools like Prometheus, Grafana, or Datadog. Experience with containerization (Docker) and a solid understanding of how application code runs within a Kubernetes or serverless environment. Leadership & Collaboration Strong mentoring abilities and passion for elevating team ...