1 to 25 of 37 Containerisation Jobs in the City of London

and RESTful APIs . Frontend: Expertise in React , TypeScript , HTML5 , CSS3 , and other modern frontend frameworks. DevOps: Familiarity with CI/CD tools such as GitHub , Jenkins , Harness , and containerization using Docker and Kubernetes . Cloud Platforms: Experience with cloud environments, preferably Google Cloud Platform (GCP) . Automation & Testing: Hands-on experience with automated testing frameworks like Jest , Cypress , and More ❯

skills and ability to work collaboratively in a cross-functional team. Desirable Skills - Experience with PHP, especially in legacy systems. - Familiarity with DevOps practices, CI/CD pipelines, and containerization (Docker/Kubernetes). - Exposure to domain-driven design and microservices architecture. - Experience in agile development environments. What We Offer - A chance to work on a high-impact transformation project. More ❯

Preferred qualifications • Experience with Server-Driven UI • Experience with Web Assembly (WASM), Service Workers and Progressive Web Apps • Experience with Go services deployed to Kubernetes • Experience with Microservices, gRPC, containerisation and Event-driven architectures. • Some experience managing Cloud resources, infrastructure as code, and site reliability engineering. We are an equal opportunity employer and value diversity at our company. We do More ❯

variants) in production-scale deployments Deep technical mastery of Infrastructure-as-Code frameworks with Terraform, Ansible, and Helm being absolutely essential. Advanced wizardry in Linux systems management, virtualisation technologies, containerisation platforms, and VMware orchestration tools (vRealize/Aria suite). Exceptional coding prowess in automation development and scripting languages: Python, PowerShell, Bash, Go, and Git workflows that drive efficiency. Battle More ❯

existing approaches and drive innovation within the team. Desirable Exposure to AWS AI services (e.g., Lex, Bedrock). Experience with serverless architectures and event-driven design patterns. Familiarity with containerization (Docker, ECS) and observability tooling. Team Fit A proactive mindset with a passion for mentoring and uplifting team performance. Strong communication skills and the ability to work collaboratively across distributed More ❯

and cloud operations across teams Skills and Experience Proven experience in a senior or lead DevOps role Strong expertise with Azure services, infrastructure and automation Hands-on experience with containerisation and Kubernetes (AKS preferred) Strong knowledge of IaC (Terraform, Bicep, or ARM templates) Experience with CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) Solid scripting skills (PowerShell and/ More ❯

tools such as GitHub Actions, Jenkins, or DroneCI. Experience with configuration as code tools like Terraform, or Cloudless. Strong knowledge of cloud platforms (AWS, Azure, GCP). Familiarity with containerization technologies (Docker, Helm/Kubernetes). Scripting skills in languages such as Python, Bash, or PowerShell. Understanding of networking, security, and system administration. What’s in it for you At More ❯

Routine use and deep understanding of the best practices with version control, unit testing, CI/CD and in general, MLOps for model lifecycle management and monitoring. Familiarity with containerization (Docker) and orchestration for scalable deployment. Ability to write re-usable code What will be your key responsibilities? Plan and lead data science projects to understand and optimise manufacturing processes More ❯

operations optimisation, or customer segmentation. Comfortable with key ML frameworks (such as Scikit-learn, TensorFlow, PyTorch, Hugging Face) and data manipulation tools (Pandas, NumPy), as well as version control, containerisation, and ML deployment pipelines. Understands how to apply MLOps principles in production environments To be successful in this role you must have hands-on experience designing and deploying ML models More ❯

e.g., JIRA ). Enthusiastic about learning new technologies and adept at problem-solving and delivering production-ready solutions. Additional knowledge in Cloud Computing, Big Data tools, visualization tools, and containerization tools is beneficial. Excellent communication skills in English , with fluency in UNIX command line and familiarity with agile development practices. More ❯

conception through to completion and launch. Python Developer Experience: * Python, including APIs, data structures, and async processing * Databricks/Microsoft Fabric * Cloud, preferably Azure (Data Lake, Functions, App Services) * Containerisation with Docker and CI/CD pipelines * MLOps tooling (MLFlow, Git-based versioning, environment tracking) Desirable Skills & Interests * LangChain, Langflow, or similar frameworks for building AI agents * LLMs or intelligent More ❯

methodologies Knowledge of Infrastructure as Code tools (e.g. Terraform, ARM/Bicep, etc.) Knowledge of cloud security best practices and compliance standards (e.g. ISO 27001, SOC2, GDPR) Experience with containerisation and orchestration technologies (e.g. Docker, OpenShift, Kubernetes) Strong understanding of networking concepts and technologies Relevant cloud certifications (e.g. Azure Solutions Expert, Google Cloud Professional Architect) are a definite plus Knowledge More ❯

learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £35,000 – £45,000 plus bonus 🏡 Hybrid Working : A flexible mix of office and remote work 📈 Career Growth : Structured professional development, mentorship, and training More ❯

sales professionals and commercial responsibility for strategic organisational goals. Software Engineering A deep knowledge of a wide range of different languages, frameworks, stacks and design patterns. Deep experience with containerisation and orchestration tools (e.g. Docker, Kubernetes), CI/CD, TDD, Agile working and modern software engineering practices in general. Experience working within multidisciplinary teams with product, design, and technical disciplines More ❯

a Microsoft tech environment. Key Requirements: Strong DevOps experience with Windows Servers Proficiency in PowerShell or Python scripting Hands-on experience with TeamCity, Jenkins, SonarQube Familiarity with Docker for containerization Experience with Microsoft-based infrastructures (not open-source) Desirable Skills: Background in financial services, particularly Market Risk Knowledge of Chef, Ansible, SQL, and Hadoop ecosystems (HDFS, Hive, Impala) Understanding of More ❯

marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience with advanced AI More ❯

in Python, Scala, or PySpark. * Familiarity with Power BI, SharePoint, and data integration technologies. * Understanding of DevOps, CI/CD, and cloud concepts (IaaS, PaaS, SaaS). * PowerShell scripting, containerisation, Semarchy MDM, NEC Housing, PL/SQL, and Total Mobile/Repairs solutions. In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon More ❯

marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience with advanced AI More ❯

Developing and working with tools and interfaces for AI applications (e.g. Anthropic's Model Context Protocol) Training traditional Machine Learning and Deep Learning models. (Desirable) Hands-on experience with containerisation technologies such as Docker. (Desirable More ❯

as TensorRT, ONNX Runtime, and OpenVINO. Proficiency with CUDA programming and optimizing code for GPU acceleration. Strong background in MLOps practices, including CI/CD using GitHub Actions and containerization with Docker. Excellent problem-solving skills and the ability to thrive in a fast-paced, high-intensity environment. Experience contributing to major open-source projects is a significant advantage. 🌟 Cultural More ❯

graph and RAG-based inference pipelines using structured and unstructured data Exposing robust APIs for frontend engineers to deliver interactive dashboards and NLP-driven workflows Ensuring system portability via containerisation (Kubernetes, Docker) Collaborating closely with data scientists to integrate self-hosted LLMs and analysis models Working with platform engineers to optimise performance in hardware-constrained deployments What You’ll Bring More ❯

Terraform for scalable and secure provisioning. Compliance & Security: Ensure platform provisioning aligns with ISO and SOC compliance standards while collaborating with the InfoSec team to maintain security best practices. Containerisation & Orchestration: Deploy and manage containerised applications using Docker and other orchestration tools. Observability & Monitoring: Provision and maintain observability platforms such as DataDog, Splunk, or New Relic to gain monitoring and More ❯

Senior DevOps Engineer We're looking for an experienced Senior DevOps Engineer (5+ years) to join our client and drive improvements across the software development lifecycle. You'll collaborate closely with developers, enhance CI/CD pipelines, ensure infrastructure reliability More ❯

based inference layers using data from structured and unstructured sources * Build and expose APIs for frontend consumption, enabling natural-language querying, dynamic visualisation, and reporting * Ensure system portability via containerisation * Collaborate closely with data scientists to integrate self-hosted LLMs and analysis models into the backend infrastructure * Work with platform engineers to tune deployments for hardware-limited environments What You More ❯

Management Robust CSOC services that include SIEM and Security Orchestration Cloud security and compliance SASE/CASB EDR/XDR KMS/HSM Solutions NFV Security Technologies, WAFs DDOS Containerisation and Cloud Native application security Security consultation Ransomware/Anti-Span/Malware prevention technologies Experience in Private & Public Cloud architectures for Security Knowledge of Network Architectures SDN and WAN More ❯