576 to 600 of 2,356 Containerisation Jobs in the UK

latency electronic trading, engineering from the hardware and kernel level up Architect new system designs and next-generation deployment models — including immutable infrastructure, containerization, and automated provisioning pipelines Perform deep performance engineering and latency optimization: kernel tuning, CPU isolation/pinning, NUMA awareness, IRQ affinity, kernel-bypass networking, and precision ...

maintaining a robust and scalable infrastructure to support our microservices-based applications. This role requires a deep understanding of AWS services (AWS EKS) , containerization, Kubernetes, and Infrastructure as Code (IaC).Mandatory Skills:8+ years of experience in IT infrastructure or a related field with at least 3+ years of experience ...

modern CI/CD practices Understanding of web security and performance best practices Experience with cloud platforms (AWS, GCP, or Azure) Familiarity with containerization using Docker Nice to have: Experience with React-router v7, Prisma, better-auth, Amplitude, Storybook, TailwindCSS and Playwright Knowledge of caching strategies and state management Familiarity ...

operational data. Understanding of asynchronous messaging, system queues and service‐to‐service communication. Experience with cloud, on‐premises or hybrid deployment models. Knowledge of containerisation technologies such as Docker. Familiarity with CI/CD pipelines, source control, automated testing and modern DevOps practices. Experience designing solutions with security, performance, resilience ...

English proficiency Nice to have Expertise in specialized analytics domains such as econometrics or marketing mix modeling Cloud or machine learning certifications Familiarity with containerization platforms like Docker or Kubernetes We offer EPAM Employee Stock Purchase Plan (ESPP) Protection benefits including life assurance, income protection and critical illness cover Private ...

with Electronics and lower-level firmware Using and generating documentation to create interfaces machine to machine Test frameworks and test development Microservices architecture/containerisation Development of new applications to meet user expectations and within formal constraints. HMI/GUI/UX experience needed. Familiarity with the tools and approaches ...

processing jobs, pipelines, model registry, endpoints. Practical MLOps: experiment tracking and model versioning with MLflow, hyperparameter optimisation, and reproducible, configuration‐driven training runs. Containerisation and infrastructure as code: Docker and CUDA‐based GPU images, plus enough Terraform to ship your own model to an environment through code review rather than ...

technical direction within your teamDesired Skills and ExperienceCore Software EngineeringJavaScript frameworks (React, NextJS)TypeScriptPythonJavaREST API developmentOpenAPI/SwaggerCloud & InfrastructureCloud services (AWS or Azure)Containerisation & Orchestration (Docker, Kubernetes, OpenShift)Infrastructure as Code (Terraform, Ansible)Data & Search TechnologiesRelational Databases (e.g. PostgreSQL)Elasticsearch/OpensearchTesting & QualityUnit testing and automationTesting frameworks (e.g. Mocha, Jest ...

part of a team Experience with version control systems (e.g., Git , GitHub ) and CI/CD pipelines (e.g., GitHub Actions ) Experience with containerisation technologies like Docker Able to leverage AI coding assistants (e.g. Claude ) professionally and productively. Infrastructure as Code (IaC) tools such as CloudFormation Able to resolve a connection ...

data preprocessing, feature engineering, and evaluation techniques.Experience working with large, complex datasets and applying statistical analysis.Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).Experience managing data science teams and coaching team members.Problem-solving skills and ability to work independently and as a leader within cross-functional ...

pairing, and further improve capabilities and development best practices and work closely with others in Engineering Contribute to test coverage, CI/CD pipelines, containerisation, and cloud infrastructure to ensure seamless delivery and deployment. Collaborate with product to understand the user experience and design and implement the right technical solution ...

learning new technologies. Good verbal and written communication skills. Familiarity with cloud platforms (e.g., Azure (preferable), AWS, or Google Cloud). Basic knowledge of containerization tools like Docker and orchestration platforms like Kubernetes. Interest in infrastructure‐as‐code tools like Terraform. Passion for exploring the intersection of NLP and emerging ...

with Electronics and lower‐level firmware Using and generating documentation to create interfaces machine to machine Test frameworks and test development Microservices architecture/containerisation Development of new applications to meet user expectations and within formal constraints. HMI/GUI/UX experience needed. Familiarity with the tools and approaches ...

operational data. Understanding of asynchronous messaging, system queues and service-to-service communication. Experience with cloud, on-premises or hybrid deployment models. Knowledge of containerisation technologies such as Docker. Familiarity with CI/CD pipelines, source control, automated testing and modern DevOps practices. Experience designing solutions with security, performance, resilience ...

preprocessing, feature engineering, and evaluation techniques. Experience working with large, complex datasets and applying statistical analysis. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience managing data science teams and coaching team members. Problem-solving skills and ability to work independently and as a leader ...

experience in Credit or Fixed Income.Expertise in modern .NET technologies and C# (Java or similar OO languages considered).Experience with CI/CD pipelines, containerisation (Docker), and orchestration (Kubernetes/EKS).Knowledge of distributed messaging and caching technologies (e.g., Solace, Redis, or similar).Understanding of FIX protocol and FIX message ...

Experience with PostgreSQL (or similar relational databases) and data‐intensive workloads. Experience running services on a major cloud provider (e.g. AWS, GCP) and with containerisation/orchestration (e.g. Docker, Kubernetes). Exposure to regulated or high‐assurance environments and the constraints they introduce. Benefits Opportunity to travel (if applicable) Flexible ...

modelling and handling operational data.Understanding of asynchronous messaging, system queues and service-to-service communication.Experience with cloud, on-premises or hybrid deployment models.Knowledge of containerisation technologies such as Docker.Familiarity with CI/CD pipelines, source control, automated testing and modern DevOps practices.Experience designing solutions with security, performance, resilience, scalability ...

TensorFlow, PyTorch or similar; modern LLM/agent frameworks; cloud AI platforms (Amazon Bedrock, Azure OpenAI/AI Foundry, Google Vertex AI); vector databases; containerization and orchestration (Docker, Kubernetes); distributed computing. Architecture Design – end‐to‐end design of Generative and Agentic AI architectures encompassing data preprocessing, model selection, RAG pipelines ...

related quantitative fieldPreferred qualifications, capabilities, and skillsPostgraduate-level qualification in data science, artificial intelligence, or machine learningPractical experience with CI/CD, containerization, and cloud-native deployment patternsExperience within financial services technology, particularly wealth, private banking, or asset managementExperience with Databricks, Kubernetes, or comparable ML/cloud platformsExperience designing ...

respect. Required Qualifications, Capabilities and Skills Detailed understanding of public clouds and hands‐on knowledge of building cloud‐based environments. Expert knowledge of containerisation, Kubernetes and related tooling. Deep understanding of cloud‐native and traditional networking architectures. Proven experience designing and operating scalable, secure and resilient networks ...

grounding in software engineering best practices (CI/CD, testing, code reviews etc). Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data. Understanding of responsible ...

grounding in software engineering best practices (CI/CD, testing, code reviews etc). Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data. Understanding of responsible ...

grounding in software engineering best practices (CI/CD, testing, code reviews etc). Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data. Understanding of responsible ...

processing jobs, pipelines, model registry, endpoints. Practical MLOps: experiment tracking and model versioning with MLflow, hyperparameter optimisation, and reproducible, configuration‐driven training runs. Containerisation and infrastructure as code: Docker and CUDA‐based GPU images, plus enough Terraform to ship your own model to an environment through code review rather than ...