1,701 to 1,725 of 3,475 Containerisation Jobs in the UK

ideally in Python. Exposure to AI/ML tools, APIs, or foundational models (e.g. OpenAI, Hugging Face, LangChain). Familiarity with cloud services (e.g. AWS, GCP, or Azure) and containerization (e.g. Docker). Interest in or experience with building microservices , APIs, or distributed systems. Prior work with data processing, prompt engineering, or LLM evaluation. Enthusiasm for learning, experimentation, and applying More ❯

post-sales consultancy Lead the design and implementation of secure, scalable DevSecOps solutions across cloud, on-prem, and hybrid environments Advise customers on best practices for CI/CD, containerisation, and integrating security across the SDLC Collaborate with Sales and Consulting teams to develop technical proposals and bid responses Facilitate customer workshops, design reviews, and solution assurance activities Drive innovation More ❯

data structures and design patterns. Comfortable working in a command line environment. Familiarity with continuous integration and deployment. Experience with cloud providers such as AWS, Azure, or Google Cloud. Containerization experience (Docker/Docker Compose). Experience with frameworks/languages such as PHP & Laravel, Ruby & Rails, C/C++, or mobile development. About You: Excellent collaboration skills with stakeholders More ❯

explain technical concepts to both technical and non-technical audiences Ability to operate in a client-facing environment, contributing to multi-disciplinary teams and complex programmes Ideally, experience with containerisation technologies such as Docker and Kubernetes Exposure to Kimball data modeling, data architecture, and performance optimisation Experience delivering end-to-end solutions involving Azure data platform components If this role More ❯

explain technical concepts to both technical and non-technical audiences Ability to operate in a client-facing environment, contributing to multi-disciplinary teams and complex programmes Ideally, experience with containerisation technologies such as Docker and Kubernetes Exposure to Kimball data modeling, data architecture, and performance optimisation Experience delivering end-to-end solutions involving Azure data platform components If this role More ❯

explain technical concepts to both technical and non-technical audiences Ability to operate in a client-facing environment, contributing to multi-disciplinary teams and complex programmes Ideally, experience with containerisation technologies such as Docker and Kubernetes Exposure to Kimball data modeling, data architecture, and performance optimisation Experience delivering end-to-end solutions involving Azure data platform components If this role More ❯

explain technical concepts to both technical and non-technical audiences Ability to operate in a client-facing environment, contributing to multi-disciplinary teams and complex programmes Ideally, experience with containerisation technologies such as Docker and Kubernetes Exposure to Kimball data modeling, data architecture, and performance optimisation Experience delivering end-to-end solutions involving Azure data platform components If this role More ❯

explain technical concepts to both technical and non-technical audiences Ability to operate in a client-facing environment, contributing to multi-disciplinary teams and complex programmes Ideally, experience with containerisation technologies such as Docker and Kubernetes Exposure to Kimball data modeling, data architecture, and performance optimisation Experience delivering end-to-end solutions involving Azure data platform components If this role More ❯

explain technical concepts to both technical and non-technical audiences Ability to operate in a client-facing environment, contributing to multi-disciplinary teams and complex programmes Ideally, experience with containerisation technologies such as Docker and Kubernetes Exposure to Kimball data modeling, data architecture, and performance optimisation Experience delivering end-to-end solutions involving Azure data platform components If this role More ❯

explain technical concepts to both technical and non-technical audiences Ability to operate in a client-facing environment, contributing to multi-disciplinary teams and complex programmes Ideally, experience with containerisation technologies such as Docker and Kubernetes Exposure to Kimball data modeling, data architecture, and performance optimisation Experience delivering end-to-end solutions involving Azure data platform components If this role More ❯

machine learning, whether through past projects, research, or APIs. A passion for exploring and applying AI in practical business contexts. Familiarity with DevOps practices, cloud environments (especially Azure), and containerization (Docker). Solid understanding of version control, CI/CD, and web hosting environments. Nice to Have: Hands-on experience with ML frameworks (e.g., Hugging Face). Some expereince of More ❯

Looking For: 3–5 years of strong hands-on experience in DevOps engineering Solid knowledge of cloud platforms, e.g. Azure/AWS/GCP (mandatory) Mastery of Docker architecture, containerization, and CI/CD tools Proven experience in MLOps practices, integrating machine learning models into scalable, secure production environments is a great plus Comfortable working with Bitbucket, Git, Confluence, and More ❯

and technical concepts Familiarity with Agile methodologies Desirable skills: Experience with additional frontend frameworks like React or Vue.js Knowledge of accessibility and security standards Experience building microservices and using containerization tools like Docker Familiarity with testing frameworks such as Jest for front-end testing Benefits include: Competitive salary Company bonus scheme Comprehensive healthcare cash plan 27 days of annual leave More ❯

FastAPI on serverless platforms like Google App Engine . Streaming Data: Practical experience building real-time data pipelines. DevOps & MLOps: Knowledge of Infrastructure as Code (Terraform), MLOps principles, and containerization (Docker, Kubernetes). What They Offer Work that impacts elite football performance and club-wide success Access to real-world sports data and performance analytics Flexible working options (hybrid/ More ❯

CI/CD workflows Excellent problem-solving and communication skills Understanding of Waterfall and Agile methodologies Understanding of Authentication and Cyber Security Familiarity with the Twilio platform Knowledge of containerisation technologies (e.g. Docker) Understanding of modern UI and UX Familiarity with SQL and NoSQL databases Growth Path: This role offers opportunities to advance into software engineer positions, senior QA roles More ❯

FastAPI on serverless platforms like Google App Engine . Streaming Data: Practical experience building real-time data pipelines. DevOps & MLOps: Knowledge of Infrastructure as Code (Terraform), MLOps principles, and containerization ( Docker, Kubernetes ). What They Offer Work that impacts elite football performance and club-wide success Access to real-world sports data and performance analytics Flexible working options (hybrid/ More ❯

FastAPI on serverless platforms like Google App Engine . Streaming Data: Practical experience building real-time data pipelines. DevOps & MLOps: Knowledge of Infrastructure as Code (Terraform), MLOps principles, and containerization ( Docker, Kubernetes ). What They Offer Work that impacts elite football performance and club-wide success Access to real-world sports data and performance analytics Flexible working options (hybrid/ More ❯

FastAPI on serverless platforms like Google App Engine . Streaming Data: Practical experience building real-time data pipelines. DevOps & MLOps: Knowledge of Infrastructure as Code (Terraform), MLOps principles, and containerization ( Docker, Kubernetes ). What They Offer Work that impacts elite football performance and club-wide success Access to real-world sports data and performance analytics Flexible working options (hybrid/ More ❯

in the HealthTech space Strong experience with PostgreSQL or similar relational databases. Proficient in system design, API development, and microservices architecture. Hands-on experience with cloud platforms (AWS, GCP), containerisation (Docker), and orchestration (Kubernetes). Experience in start-up environments is a plus, as the role will require you to be adaptable and work in a fast-paced, evolving setting. More ❯

Core, ASP.NET Cloud experience with AWS (Lambda, DynamoDB) or Azure + DevOps Proficiency with IaC tools like Terraform Strong grasp of modern dev methodologies and design patterns Exposure to containerization and CI/CD tooling Bonus: Familiarity with Go, Python, React, TypeScript, Node.js ️ Location : Hybrid – 2 days a week in London This is a high-impact role in a growing More ❯

Experience with CI/CD tooling (Azure DevOps, GitHub, Terraform, etc.) Working knowledge of Windows Server, SQL Server Management Studio, IIS Automation scripting (PowerShell) Cloud experience: Azure or AWS Containerisation (Docker, Kubernetes) Nice to Have: Experience with Dynamics, Salesforce, BizTalk, or Guidewire Familiarity with third-party vendor software and managing multi-platform environments Who this suits: You're hands-on More ❯

similar platforms. Proficiency in C CUDA C with experience working with GPUs. Familiarity with video technologies such as Gstreamer, DeepStream, and Triton. Experience with Python microservices architecture. Knowledge of containerization tools (Docker, Kubernetes). Linux or embedded development experience. Proficiency in scripting languages (e.g., Bash). Experience with Python bindings for C/C++. Familiarity with Web Services (REST) and More ❯

Dispatcher WMS, ideally the 2022 version Deep knowledge of core AWS services such as Lambda, EC2, S3, RDS, CloudFormation, API Gateway, and IAM Strong grasp of system integration, microservices, containerisation (Docker, ECS/EKS), and event-driven architecture Experience with infrastructure-as-code tools (Terraform, CloudFormation) and DevOps practices Understanding of warehouse operational workflows and WMS data models Excellent communication More ❯

Dispatcher WMS, ideally the 2022 version Deep knowledge of core AWS services such as Lambda, EC2, S3, RDS, CloudFormation, API Gateway, and IAM Strong grasp of system integration, microservices, containerisation (Docker, ECS/EKS), and event-driven architecture Experience with infrastructure-as-code tools (Terraform, CloudFormation) and DevOps practices Understanding of warehouse operational workflows and WMS data models Excellent communication More ❯

companies . Deep understanding of full-stack development , with proficiency in Python , TypeScript , and modern JavaScript frameworks . Experience in cloud infrastructure deployment (AWS/GCP/Azure) and containerisation/orchestration (Docker/Kubernetes). Comfortable working with or around machine learning pipelines , even if not directly training models. Experience building and scaling production-grade AI-powered products . More ❯