276 to 300 of 659 Containerisation Jobs in London

experience as a Data Engineer in complex environments Strong proficiency in PostgreSQL and either Airflow or Spark Solid understanding of Node.js or React for integration and tooling Familiarity with containerisation technologies (Docker/Kubernetes) is a plus Excellent communication and stakeholder engagement skills Experience working within or supplying to the public sector is highly advantageous Why Join? Contribute to meaningful More ❯

and contemporary design principles such as microservices and event-driven architecture. Excellent communication and stakeholder engagement skills across all levels. Familiarity with DevOps practices (CI/CD pipelines, monitoring, containerisation). Knowledge of Salesforce and MuleSoft platforms. Previous experience within the insurance or brokerage sector, ideally with an understanding of regulatory and data compliance standards. Who You Are Experienced in More ❯

chatbot development and conversational UI design is a plus. Familiarity with RESTful APIs and SDKs for integrating LLMs into enterprise platforms. Knowledge of cloud platforms (Azure, AWS, GCP) and containerization tools (Docker, Kubernetes) is beneficial. Ability to translate business requirements into prompt strategies and AI-driven solutions. Familiarity with Capsa and Filament Sifter platforms is a strong plus. Ability to More ❯

or Django REST). Proven leadership experience in a development environment Solid expertise in microservices, APIs, messaging patterns, and distributed systems. Proficient with cloud platforms (AWS, GCP, Azure) and containerisation (Docker; Kubernetes preferred). Strong engineering fundamentals - testing, clean code, performance tuning, and algorithms. Experience with relational and non-relational databases (PostgreSQL, MongoDB). Comfortable working in agile, fast-moving 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 ❯

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 ❯

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 ❯

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 ❯

engage and influence technical and non-technical stakeholders. A passion for technology and testing, staying ahead of trends in areas such as continuous delivery, JavaScript-based testing tools, microservices, containerization, and DevOps practices. Exceptional understanding of modern testing techniques, tools, and technologies. Whats in It for You? Holidays: 25 days annual leave (plus an extra day every year for the More ❯

directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. More ❯

directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. More ❯

directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. More ❯

directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. More ❯

using AWS from the AWS CLI, CDK, Terraform/CloudFormation perspective. ● Experience in the IT services industry. ● Strong knowledge of CI/CD pipelines, infrastructure as code (IaC), and containerisation (Docker, Kubernetes, EKS, Fargate etc.). ● Worked for an AWS Professional Services partner and familiar with all AWS Partner activities, e.g. use of AWS Partner Network portal. ● Proven track record More ❯

requirement. Strong, demonstrable experiefnce with Real Time, low-latency data processing. You obsess over milliseconds and understand the trade-offs. Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker). Deep understanding of API design (REST, gRPC, Webhooks) and API security (OAuth 2.0, mTLS, JWTs). Knowledge of (or deep, demonstrable curiosity about) telecommunications protocols and More ❯

to troubleshoot errors and independently find solutions to problems. Desirable In-depth knowledge of at least one high-level language used in data science, such as Python. Familiarity with containerisation technologies e.g., Docker, Kubernetes, etc. Familiarity with server management. Extensive experience with GitHub and version control in software engineering Up to date with new approaches in software development. Demonstrable experience More ❯

depth knowledge of several high-level languages used in data science, such as Python and C#, and ability to rapidly acquire knowledge of new languages and platforms. Familiarity with containerisation technologies e.g., Docker, Kubernetes, etc. Familiarity with server management. Up to date with new approaches in software development. Demonstrable experience with SQL e.g., PostgreSQL or other modern SQL platforms. Knowledge More ❯

to troubleshoot errors and independently find solutions to problems. Desirable In-depth knowledge of at least one high-level language used in data science, such as Python. Familiarity with containerisation technologies e.g., Docker, Kubernetes, etc. Familiarity with server management. Understanding of distributed software applications. Up to date with new approaches in software development. Demonstrable experience with SQL e.g., PostgreSQL or More ❯

Senior levels. To be a suitable fit for this opening, experience with the following is required: Prior experience in On-Prem environments (working with VMware, Bare Metal Infrastructure etc) Containerisation/Orchestration with Kubernetes Extensive CI/CD work (ideally with Jenkins, or equivalents) Scripting experience with Python, Bash, Shell or Java Strong knowledge across Automation, Networking, Linux and Security More ❯

Senior levels. To be a suitable fit for this opening, experience with the following is required: Prior experience in On-Prem environments (working with VMware, Bare Metal Infrastructure etc) Containerisation/Orchestration with Kubernetes Extensive CI/CD work (ideally with Jenkins, or equivalents) Scripting experience with Python, Bash, Shell or Java Strong knowledge across Automation, Networking, Linux and Security More ❯

of distributed computing concepts and big data technologies Experience with version control systems (Git) and CI/CD practices Experience with relational databases (PostgreSQL, MySQL or similar) Experience with containerization technologies (Docker, Kubernetes) Experience with data orchestration tools (Apache Airflow or Dagster) Understanding of data warehousing concepts and dimensional modelling Understanding of cloud platforms using infrastructure-as-code (IaC) approaches More ❯

of distributed computing concepts and big data technologies Experience with version control systems (Git) and CI/CD practices Experience with relational databases (PostgreSQL, MySQL or similar) Experience with containerization technologies (Docker, Kubernetes) Experience with data orchestration tools (Apache Airflow or Dagster) Understanding of data warehousing concepts and dimensional modelling Understanding of cloud platforms using infrastructure-as-code (IaC) approaches More ❯

of distributed computing concepts and big data technologies Experience with version control systems (Git) and CI/CD practices Experience with relational databases (PostgreSQL, MySQL or similar) Experience with containerization technologies (Docker, Kubernetes) Experience with data orchestration tools (Apache Airflow or Dagster) Understanding of data warehousing concepts and dimensional modelling Understanding of cloud platforms using infrastructure-as-code (IaC) approaches More ❯

of distributed computing concepts and big data technologies Experience with version control systems (Git) and CI/CD practices Experience with relational databases (PostgreSQL, MySQL or similar) Experience with containerization technologies (Docker, Kubernetes) Experience with data orchestration tools (Apache Airflow or Dagster) Understanding of data warehousing concepts and dimensional modelling Understanding of cloud platforms using infrastructure-as-code (IaC) approaches More ❯

as Code (IaC): Proven experience designing and implementing IaC solutions CI/CD Pipelines: Strong background in building and maintaining automated delivery pipelines Python: Proficiency in scripting and automation Containerisation: Experience working with containerised environments Linux: Excellent Linux system administration skills Leadership & Approach Technical Direction: Capable of providing technical leadership and mentoring without direct line management responsibilities System Design: Skilled More ❯