1 to 25 of 53 Containerisation Jobs in Central London

Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with ...

Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with ...

etc.). Strong understanding of data quality, testing, and observability practices. Desirable Skills Experience supporting Machine Learning pipelines or feature engineering. Knowledge of containerisation (Docker, Kubernetes). Experience with dbt for modelling and transformation. Background in financial services, payments, trading, or other data-rich environments. Experience with real-time analytics ...

/or C# . Solid experience in setting up and maintaining CI/CD pipelines and automated build environments. Hands-on experience with containerization technologies, such as Docker and Kubernetes. Practical knowledge of cloud platforms like AWS, Azure, or Google Cloud Platform (GCP). Familiarity with access and identity management ...

infrastructure as code (Terraform). Familiarity with CI/CD pipelines, automated testing, and modern software development practices. Knowledge of technologies such as microservices, containerisation (Docker, Kubernetes), or serverless architecture. Awareness of principles like well-architected and secure by design Desirable Previous experience in a senior engineering role, guiding teams ...

also valuable. Awareness of security practices, monitoring and troubleshooting in production environments. Desirable Experience with React or other modern JavaScript frameworks. Exposure to containerisation and orchestration (e.g. Docker, Kubernetes). Experience in regulated financial services or mortgage origination/administration systems. How you work Strong teamwork, communication and problem solving ...

relational databases. Hands-on experience with modern data engineering tools (e.g. Airflow, Spark, Kafka, dbt, Snowflake or similar). Experience with cloud platforms , containerisation (Docker/Kubernetes) , and CI/CD pipelines . Solid understanding of data governance, validation, and compliance . A strong advocate for automated testing, observability ...

golden sets, BLEU/BERTScore/semantic similarity). Cloud : Azure (incl. Azure AI, OpenAI, Cognitive Services ), AWS (Bedrock/SageMaker), GCP (Vertex AI); containerization (Docker/Kubernetes) and service meshes. Data & Integration : SQL, NoSQL, data warehousing concepts (fact/dimension, SCD), ETL/ELT, streaming (Kafka/Event Hubs ...

developing RESTful APIs, microservices, and working with cloud-based architectures (AWS, GCP, or similar). Expertise in testing frameworks, CI/CD, and containerization technologies such as Docker or Kubernetes. Experience in managing and deploying services in Linux/Unix environments. Strong analytical and problem-solving skills, with a keen ...

Integration Azure DevOps (Repos, Pipelines, Boards, Artifacts, Test Plans), CI/CD automation, gated releases, and environment governance Infrastructure-as-Code (Bicep, ARM, Terraform) Containerisation (Docker, AKS) and serverless (Azure Functions) Monitoring and observability (Application Insights, Log Analytics) Secrets management and vulnerability scanning (Key Vault, SonarQube, OWASP) Microservices and event ...

messaging architectures Experience applying latest technologies to solve complex problems and to develop innovative data and analytical solutions Working knowledge of cloud orchestration and containerisation technologies, such as Docker and Kubernetes Working knowledge of DevOps, CI/CD and Infrastructure-as-Code Understanding of NCSC Cloud Security Principles ...

decisions. Deep knowledge of software architecture, clean code principles, and maintainable systems. Familiarity with cloud platforms (AWS, Azure, GCP), CI/CD pipelines, and containerisation (e.g., Docker, Kubernetes). Comfortable leading interviews and assessing both technical depth and soft skills. Desirable: Experience in consultancy or client-facing environments. Prior involvement ...

following languages: Bash, Python, Java, C#, Rust, Excel VBA Good Linux/network stack knowledge, as well as optimization/tuning Nice to have: Containerization (Docker/Kubernetes) in a production environment Monitoring tools in a production environment (Prometheus/Grafana/ELK stack/Splunk) IaC tooling (Terraform, Ansible ...

/CD tooling such as GitHub Actions and Maven Proven expertise with Terraform and Infrastructure as Code principles Practical experience with Azure cloud services Containerisation knowledge (Docker essential; orchestration tools beneficial) API testing and service virtualisation experience Understanding of performance, scalability and other non-functional testing approaches Strong debugging skills ...

Terraform Proficiency in scripting languages such as PowerShell or Python Desired: Azure certifications (e.g., Azure Solutions Architect, Azure DevOps Engineer), or equivalent Experience with containerization technologies such as Docker and Kubernetes Working knowledge of Zscaler In-depth knowledge of Azure firewalls SQL experience Additional information As a colleague here ...

datasets, with an understanding of scalability, fault tolerance, and performance considerations. Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP). Ability to collaborate effectively across teams and communicate technical concepts clearly. ...

datasets, with an understanding of scalability, fault tolerance, and performance considerations. Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP). Ability to collaborate effectively across teams and communicate technical concepts clearly. ...

datasets, with an understanding of scalability, fault tolerance, and performance considerations. Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP). Ability to collaborate effectively across teams and communicate technical concepts clearly. ...

datasets, with an understanding of scalability, fault tolerance, and performance considerations. Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP). Ability to collaborate effectively across teams and communicate technical concepts clearly. ...

datasets, with an understanding of scalability, fault tolerance, and performance considerations. Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP). Ability to collaborate effectively across teams and communicate technical concepts clearly. ...

datasets, with an understanding of scalability, fault tolerance, and performance considerations. Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP). Ability to collaborate effectively across teams and communicate technical concepts clearly. ...

datasets, with an understanding of scalability, fault tolerance, and performance considerations. Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP). Ability to collaborate effectively across teams and communicate technical concepts clearly. ...

leaders to ensure reliability, scalability, and smooth delivery across a complex, high growth environment. You will lead on CI/CD, cloud architecture, automation, containerisation, and infrastructure as code, while embedding strong security and compliance practices across the organisation. Key Responsibilities Design, implement, and maintain robust CI/CD pipelines … operational excellence. Architect, scale, and optimise cloud infrastructure (AWS/Azure/GCP). Implement infrastructure as code using Terraform, Ansible, or CloudFormation. Lead containerisation and orchestration strategy using Docker and Kubernetes. Develop automation scripts and tooling to enhance operational efficiency. Embed security, compliance, and best practices across all infrastructure ...

software engineering. Hands-on experience developing and deploying AI agents or intelligent systems. Familiarity with cloud infrastructure (AWS, GCP, or Azure). Experience with containerization and orchestration (Docker, Kubernetes). Ability to thrive in a fast-paced, collaborative environment. If this sounds like something you would be interested in, please ...

streaming pipelines and real-time data processing solutions. Improved job efficiency and reduced runtimes through Apache Spark optimisation and development. Some experience with containerisation (Docker, Kubernetes) and CI/CD pipelines. Delivered streaming pipelines and real-time data processing solutions. Experience replacing legacy ETL tools (e.g., Informatica) with modern data ...