276 to 300 of 2,300 Docker Jobs in England

data management skills, with an appreciation for AI-enabled, data-driven systems. Familiarity with CI/CD, containerisation (GitHub Actions, GitLab CI, Docker), and DevSecOps practices in modern AI development environments. A pragmatic approach to testing, knowing what to cover, what to skip, and how to use AI to improve ...

commercial settings, preferably in financial sector Experience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOps Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating with data scientists J.P. Morgan is a global leader ...

Frontend Stack: Proficient with TypeScript, React, Jest, and Storybook. Experience with Micro Frontends (MFEs) is a major plus. DevOps & Cloud: Hands-on experience with Docker, Kubernetes, Terraform, and AWS. Foundations: Strong understanding of system architecture, API design, scalable service integration, Linux systems, and Git version control. Core Soft Skills: Strong ...

developer using core Java, CXF, Spring Boot, Jetty, Mustache, HTML, CSS & JavaScript JavaScript library and framework experience is preferable – Node, React, Angular Containerisation experience – Docker or Kubernetes or similar Restful API Services experience Working within agile methods and using techniques such as Scrum, Kanban and TDD Experience in designing ...

pipelines using GitLab or comparable tooling, covering automated build, test, security assurance, deployment and release processes. Strong practical experience with containerisation and orchestration, including Docker, Kubernetes and Helm, alongside an understanding of GitOps principles such as declarative configuration and controlled environment promotion. Proven experience using Terraform to provision, configure ...

knowledge for scripting or data automation. Cloud Exposure: Any experience with GCP, AWS, or Azure (Cloud certifications are a plus!). Containerization: Familiarity with Docker or the concept of containerized applications. Data Tools: Exposure to any data processing tools like Airflow, Kafka, or Spark. Infrastructure as Code: A desire ...

with cloud scalability and availability concepts, including Auto Scaling and Load Balancing; Experience working with CI/CD pipelines and deployment automation; Familiarity with Docker and Kubernetes; Experience using GitHub and modern development workflows. Why Join Us At Ness, you will work with diverse, talented professionals who are dedicated ...

modern DevOps and platform engineering technologies. Highly desirable skills include: Linux administration and scripting CI/CD methodologies and pipeline design Kubernetes and Docker for containerisation and orchestration JFrog Platform (Artifactory/XRay) for artifact and dependency management GitLab for source control and CI Ansible for configuration management and automation ...

Nice to Have: Experience building large-scale web applications and REST APIs. Strong grounding in complex data structures and database technologies. Experience with containers, Docker, and Kubernetes. Experience with cloud infrastructure as code tooling such as Terraform. Familiarity with the Tornado web application framework and test automation. Track record ...

rail testing, NDT, or sensor-based inspection industries (ultrasound, eddy current, electromagnetic, etc.) Experience with infrastructure-as-code (CloudFormation, CDK, Terraform) Knowledge of containerisation (Docker, ECS/Fargate) #J-18808-Ljbffr ...

data pipelines/ETL/ELT, caching strategies, data quality checks, reproducible inputs/outputs. DevOps: CI/CD, infrastructure as code, containerisation (e.g., Docker), monitoring/alerting, incident management. Quality: unit/integration tests, performance tests, model validation frameworks, feature flags. Location & Hours of Work We operate a hybrid ...

best practices Knowledge of the software testing pyramid and types of automated testing (smoke, component, unit, performance, load, end-to-end) Experience with Docker and other containerisation platforms Proven ability to collaborate in a fast-paced, agile team, preferably using Scrum Nice to Have: A Master’s-level qualification ...

microservices, concurrency, async programming, and event‐driven architectures. Proficiency with SQL and NoSQL databases (PostgreSQL, DynamoDB, Redis, MongoDB). Hands‐on experience with Docker, Kubernetes, and cloud platforms (AWS or GCP). Strong CI/CD experience using GitHub Actions, Jenkins, Argo, or similar tools. Deep knowledge of observability practices ...

Azure and GCP Hands on experience delivering software and knowledge of modern software engineering best practices Experience with containerisation and orchestration tools (e.g. Docker, Kubernetes) Desirable Experience working in a technology consultancy environment Experience working within multidisciplinary teams with product, design, and technical disciplines all successfully collaborating Relevant cloud certifications ...

Scala. Hands-on experience with Infrastructure as Code (Terraform, CloudFormation).Experience in stream processing frameworks and event-driven architecture. Experience working in containerised environments (Docker, Kubernetes).Interest in AI-driven tooling for engineering workflows. Interest in crypto and blockchain technologies. Job Benefits> How we work: Hybrid working and the option ...

system fundamentals. Strong hands‐on experience with cloud platforms such as AWS, Azure, or Google Cloud. Experience with containerisation and orchestration technologies such as Docker and Kubernetes. Strong experience with CI/CD tooling and modern software delivery practices. Hands‐on experience with Infrastructure as Code tools such as Terraform ...

user-centred digital solutions at scale. Advanced expertise in architectural strategies and technical roadmaps across diverse and complex environments. Expert level experience with containerisation (Docker, Kubernetes) and complex Microservices architectures. Strategic design of system integrations and large-scale application architectures. Mastery of agile methodologies and their application across large, distributed ...

user-centred digital solutions at scale. Advanced expertise in architectural strategies and technical roadmaps across diverse and complex environments. Expert level experience with containerisation (Docker, Kubernetes) and complex Microservices architectures. Strategic design of system integrations and large-scale application architectures. Mastery of agile methodologies and their application across large, distributed ...

user-centred digital solutions at scale. Advanced expertise in architectural strategies and technical roadmaps across diverse and complex environments. Expert level experience with containerisation (Docker, Kubernetes) and complex Microservices architectures. Strategic design of system integrations and large-scale application architectures. Mastery of agile methodologies and their application across large, distributed ...

user-centred digital solutions at scale. Advanced expertise in architectural strategies and technical roadmaps across diverse and complex environments. Expert level experience with containerisation (Docker, Kubernetes) and complex Microservices architectures. Strategic design of system integrations and large-scale application architectures. Mastery of agile methodologies and their application across large, distributed ...

user-centred digital solutions at scale. Advanced expertise in architectural strategies and technical roadmaps across diverse and complex environments. Expert level experience with containerisation (Docker, Kubernetes) and complex Microservices architectures. Strategic design of system integrations and large-scale application architectures. Mastery of agile methodologies and their application across large, distributed ...

Distributed computing frameworks (Spark, Kinesis etc) o Software development best practices including CI/CD, TDD and version control. o Containerisation tools like Docker or Kubernetes o Experience with Infrastructure as Code tools (e.g. Terraform or CloudFormation) · Strong understanding of data modelling and system architecture · Demonstrable experience on at least ...

system fundamentals. Strong hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud. Experience with containerisation and orchestration technologies such as Docker and Kubernetes. Strong experience with CI/CD tooling and modern software delivery practices. Hands-on experience with Infrastructure as Code tools such as Terraform ...

constrained environments. Education: PhD in AI/ML/CS or related field. Beneficial knowledge General tooling and platforms: Databricks, AWS, GCP, GitHub, Docker/Kubernetes, MLflow, Jira. Edge deployments: Nvidia Jetson (e.g. AGX Orin), Raspberry Pi, or other embedded accelerators. Distributed model training & infra: Pytorch DDP, FDSP and TorchTitan ...

models in production. Data & platform: SQL, plus experience designing batch and stream data-processing systems. Cloud & tooling: AWS and/or GCP, Docker, Terraform, and observability tooling such as Datadog. Knowledge of Kubernetes, Kafka, and CI/CD pipelines is highly beneficial. Additional Information Bring all of you to work ...