751 to 775 of 1,811 Docker Jobs in England

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

latency data processing. You obsess over milliseconds and understand the trade-offs. ? Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker). ? Deep understanding of API design (REST, gRPC, Webhooks) and API security (OAuth 2.0, mTLS, JWTs). ? Knowledge of (or deep, demonstrable curiosity about) telecommunications ...

communication in English, with experience engaging UK-based stakeholders. Technical Stack/Skills: Linux Administration, HPC Environments/Clustering, Ansible, Puppet, GitLab, Terraform, Containerisation, Docker, Kubernetes, OpenStack, CI/CD, Scripting in Bash/Python/Perl, ITSM tools, Jira, Cloud Administration, Virtualisation, GPU Technologies, RAID Technologies, Oil Immersion Cooling ...

need all of them. Backend & Infrastructure AWS (Lambda, API Gateway, Cognito, S3, OpenSearch) Node.js/TypeScript Python PostgreSQL & DynamoDB Serverless architecture & microservices Docker, CI/CD pipelines Cloud security & compliance (HIPAA/GDPR/NHS DTAC) Frontend React TypeScript Tailwind Component-driven development AI/RAG/Knowledge Pipelines ...

need all of them. Backend & Infrastructure AWS (Lambda, API Gateway, Cognito, S3, OpenSearch) Node.js/TypeScript Python PostgreSQL & DynamoDB Serverless architecture & microservices Docker, CI/CD pipelines Cloud security & compliance (HIPAA/GDPR/NHS DTAC) Frontend React TypeScript Tailwind Component-driven development AI/RAG/Knowledge Pipelines ...

need all of them. Backend & Infrastructure AWS (Lambda, API Gateway, Cognito, S3, OpenSearch) Node.js/TypeScript Python PostgreSQL & DynamoDB Serverless architecture & microservices Docker, CI/CD pipelines Cloud security & compliance (HIPAA/GDPR/NHS DTAC) Frontend React TypeScript Tailwind Component-driven development AI/RAG/Knowledge Pipelines ...

RedHat and Ubuntu About Your Role: As the DevOps Software Engineer, your role will include; • Building container images with tools such as Podman and Docker • Building and deploying containers in an offline environment • Container orchestration with tools such as using Kubernetes and K3s • Networking between containers • Message queue libraries with ...

design, implement and maintain the infrastructure, tools and processes that enable rapid development and high-quality software development. Tech Stack Required: Kafka Java docker Spring (framework boot, Data) K8 Helm React Typescript/JavaScript Postgres Open Search/ElasticSearch Playwright Wiremock Grafana Prometheus Dynatrace Git NodeJS Rest API All profiles ...