576 to 600 of 1,190 Docker Jobs in England

pace of AI teams is a real advantage. Experience with graph databases, knowledge graphs or scientific data platforms. Experience with infrastructure-as-code, containerisation (Docker/Kubernetes) or CI/CD pipelines. Orbital is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment ...

balancing, budgets, etc.) Experience with LLM capabilities and concepts such as reasoning, tool calling, prompt templates, etc. Experience with containers and orchestration tools (e.g., Docker, Kubernetes). Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform). Proven ability to solve complex problems and work independently ...

ability to understand and clearly explain the architecture of the codebases you work with. Experience with functional-programming approaches. Knowledge of containerisation using Docker and Kubernetes. Experience building and maintaining CI/CD pipelines that support quality assurance and rapid release. The ability to coach colleagues in complex technical areas ...

implementing RAG architectures, vector databases, and semantic search.**Cloud & Platforms*** Strong experience with Google Cloud Platform (GCP), ideally Vertex AI.* Experience deploying services using Docker/containerised workloads.* Understanding of cloud security, IAM, and cost management.**Data & AI Tooling*** Experience working with structured and unstructured data.* Familiarity with vector stores ...

alerting (e.g. SolarWinds). Practical experience of commissioning and maintaining Microsoft SQL Server installations. Experience designing, deploying and maintaining containerisation and orchestration solutions (e.g. Docker, Kubernetes) a significant plus. Experience of using Infrastructure as Code tools such as Terraform or Bicep for definition and management of environments a significant plus. ...

platforms in the public cloud. Data modelling and wrangling expertise to support advanced analytical use cases and ML, AI opportunities. Experience with containerisation technologies ( Docker, Kubernetes ) for scalable data solutions. Experience with vector databases and graph databases (e.g., Pinecone, Neo4j, AWS Neptune ). Understanding of data mesh-fabric approaches ...

data structures, algorithms, and TDD/BDD practices, including thorough unit test coverage with JUnit and Mockito.* Hands-on experience with Spring or Micronaut, Docker, and Kubernetes.* Working knowledge of messaging technologies such as Kafka, RabbitMQ, or Solace.* Solid understanding of Spot, Futures, and Options markets.* Hands-on experience with ...

APIs and event‐driven/microservices architecture; Relational and analytical databases (e.g. PostgreSQL, ClickHouse or similar). Experience with CI/CD pipelines; Containerisation (Docker, Kubernetes preferred); Version control systems (Git). Strong knowledge of design patterns; Secure coding practices; Performance optimisation. Experience leading or mentoring engineers. Strong people management ...

advanced MLflow features. Experience with streaming and real‐time data platforms. Familiarity with CI/CD, MLOps and deployment pipelines (Azure DevOps, GitHub Actions, Docker). Commercial awareness in e‐commerce, travel or holiday‐lettings sectors. Experience mentoring others or leading technical workstreams. About You Curious, innovative and passionate about ...

platform sensor fusion. Proficient in Python and C++ with strong procedural and object-oriented programming skills, experienced in Git, VS Code, GitLab, Nexus, SonarQube, Docker, Linux, and Azure Container Registry Travel Requirements: Must be willing to travel as projects requires; estimated average travel (~25%) Nice to have: 7+ years ...

Technology Stack Our copyright product is primarily running in AWS with the following technologies: Java SpringBoot Microservices DynamoDB OpenSearch Postgres S3 Kinesis SNS SQS Docker/ECS/EKS Serverless frameworks Key Responsibilities Architect and Implement: Work as part of a product engineering team to design and implement complex software ...

including data extraction, feature engineering, modelling, evaluation, deployment and ongoing monitoring. Experience with cloud infrastructure, ideally AWS, alongside DevOps technologies and practices such as Docker, Terraform, CI/CD pipelines and infrastructure‐as‐code. Familiarity with MLOps tools and practices such as MLflow, Airflow, model monitoring, API monitoring, data validation ...

Puppet/Kapitan/Terraform) Experience with distributed data platforms (Kafka/Flink/Airflow) Comfortable using cloud native and containerisation technologies (Kubernetes/Docker) Good Linux systems knowledge (experience with RHEL desirable) Broad knowledge across network technologies, server virtualisation and storage Self-starter, able to quickly pick up concepts ...

using the right tools for the job, and our stack reflects our commitment to modern, efficient development: Backend: PHP 8, Symfony, AWS, PostgreSQL, RabbitMQ, Docker, Kubernetes CI/CD: GitHub Actions and ArgoCD (we deploy to production as soon as a feature is complete!) Testing: Behat, PHPUnit for robust automated ...

frameworks, backend and API design (Python or TypeScript), data systems (PostgreSQL, DynamoDB, MongoDB, or similar), and cloud infrastructure (AWS, Azure, or GCP) including Kubernetes, Docker, and IaC tooling. Experience deploying AI into complex enterprise environments , including navigating security reviews, identity/SSO, data residency, legacy integrations, and compliance requirements. ...

infrastructure. Relevant and recent experience with our main tech stack: Terraform, Configuration Management (Chef ideally, but will consider Ansible or Puppet), Kubernetes (cloud based), Docker (Kubernetes or AWS ECS Fargate) Extensive cloud experience (ideally Azure and AWS) Programming, scripting skills and OOP principles in general Strong analytical and problem-solving ...

practices. Preferred Qualifications, Capabilities, and Skills Experience with performance profiling tools such as pprof, flamegraphs, or distributed tracing systems. Familiarity with containers and orchestration (Docker, Kubernetes) and service‐to‐service networking. Understanding of inference concepts: batching, streaming tokens, GPU memory constraints, KV cache. Experience with high‐throughput APIs (gRPC/ ...

public cloudplatforms (e.g., Azure, AWS). Deep understanding of infrastructuretechnologies including compute, storage, networking, virtualisation (e.g.,VMware, Hyper-V), and containerisation (e.g., Kubernetes, Docker). Proficiency in infrastructureautomation and orchestration tools such as Terraform, Ansible, PowerShellDSC, and Azure Resource Manager (ARM) templates. Strong knowledge of cloudinfrastructure architecture and services, particularly ...

interfaces that feel considered rather than merely functional. Cloud infrastructure. Experience deploying and operating distributed services on AWS, GCP, or Azure. Containers and orchestration. Docker and Kubernetes in production. Real-time data. Experience processing or analysing real-time data streams at scale. Retail or personalisation. Familiarity with retail technology, commerce ...

Financial Market Knowledge: Interest or prior experience in traditional financial markets, trading systems, or investment platforms. Containerization & Deployment: Proficiency with containerization technologies such as Docker or Kubernetes. Observability: Hands‐on experience with modern observability tooling (e.g., Prometheus, DataDog, Jaeger, OpenTelemetry). Data Governance: Experience with data privacy (GDPR/CCPA ...

engineering tools such as Git, Maven, unit and integration testing frameworks, and mocking libraries. Excellent problem solving skills and attention to detail. Exposure to Docker, Kubernetes, and cloud services in an enterprise environment is beneficial. Experience with message brokers such as Kafka a plus. A friendly, positive ...

applying cloud-native patterns to scientific, batch-processing workloads. - Familiarity with scientific workflow management tools (e.g., Nextflow, Snakemake) and the use of containerization (Docker, Kubernetes) in research environments. Familiarity with infrastructure considerations (networking, hosting, security, etc.) in enabling on-premise and cloud IT solutions. Knowledge of data integrity and compliance ...

what to do about it. [Bonus] Experience with VertexAI TOOLS & TECHNOLOGIES Languages: Python, SQL Data & Transformation: dbt, Snowflake, BigQuery Visualisation & BI: Looker Engineering & MLOps: Docker, GitHub Workflow & Orchestration: Vertex AI Pipelines (GCP), Kubeflow LLMs & GenAI: Gemini API, Claude API INTERVIEW PROCESS Step 1: People Team Screening Call (30 min) Step ...

optimize CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins, etc.) for automated build, test, and deployment of cloud-native and containerized workloads (Docker, Kubernetes, Helm). Implement blue/green and canary deployment strategies, automated rollbacks, and robust monitoring/alerting for production workloads. Collaborate with development … Automation: Proficiency in Terraform, CloudFormation, Ansible, and scripting languages (Python, Bash, PowerShell) CI/CD & DevOps: Strong knowledge of CI/CD tools, containerization (Docker, Kubernetes), and orchestration Security: Solid understanding of cloud security frameworks, IAM, encryption, vulnerability management, and compliance (ISO, NIST, CIS) Networking: Expertise in cloud networking, VPNs ...

maintain highly available, fault-tolerant systems that support our AI/ML workloads, web applications, and data pipelines. Manage containerization and orchestration platforms (Docker, Kubernetes, ECS) to support microservices and ML model deployments. CI/CD & Automation: Build and maintain robust CI/CD pipelines (GitHub Actions, CircleCI, Jenkins … secure cloud infrastructure (AWS preferred, also GCP or Azure) Expertise with Infrastructure-as-Code tools (Terraform, CloudFormation, Pulumi) Strong experience with containerization and orchestration (Docker, Kubernetes, ECS, Fargate) Proven track record building and maintaining CI/CD pipelines (GitHub Actions, CircleCI, Jenkins, GitLab CI) Experience with MLOps and supporting ...