251 to 275 of 635 Containerisation Jobs in London

relational and NoSQL databases (e.g. PostgreSQL, MongoDB). Comfortable working with cloud services like AWS, Azure, or GCP. Familiarity with Docker, Kubernetes, or other containerisation technologies. Version control experience with Git. Solid grasp of web security principles and performance optimisation. Preferred Skills: Experience integrating AI/ML models or tools More ❯

Google Cloud Storage). Experience with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch) and integrating data pipelines with these tools. Familiarity with containerization technologies (e.g., Docker, Kubernetes) and cloud platforms (e.g., AWS, GCP, Azure). Strong programming and scripting skills, with the ability to write clean, maintainable code. More ❯

relational and NoSQL databases (e.g. PostgreSQL, MongoDB). Comfortable working with cloud services like AWS, Azure, or GCP. Familiarity with Docker, Kubernetes, or other containerisation technologies. Version control experience with Git. Solid grasp of web security principles and performance optimisation. Preferred Skills: Experience integrating AI/ML models or tools More ❯

Google Cloud Storage). Experience with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch) and integrating data pipelines with these tools. Familiarity with containerization technologies (e.g., Docker, Kubernetes) and cloud platforms (e.g., AWS, GCP, Azure). Strong programming and scripting skills, with the ability to write clean, maintainable code. More ❯

and management. Experience in using AWS cloud platform for deploying and managing applications Familiarity with GitHub for version control and code collaboration. Knowledge of containerization Strong conceptual problem-solving Ownership mindset Comfortable working in a fast-paced environment Non-Technical: First and foremost: Passionate about technology and excited about the More ❯

management. Experience in using the AWS cloud platform for deploying and managing applications Familiarity with GitHub for version control and code collaboration. Knowledge of containerization Strong conceptual problem-solving Ownership mindset Comfortable working in a fast-paced environment Non-Technical: First and foremost: Passionate about technology and excited about the More ❯

hands-on Platform Engineering or DevOps experience. Proven ability to manage and secure applications in AWS. Strong scripting skills with Python. Solid understanding of containerisation concepts and how they support scalability, isolation, and portability in modern application deployment. Familiarity with monitoring stacks (Grafana, Prometheus, etc.) Working knowledge of CI/ More ❯

management. Experience in using the AWS cloud platform for deploying and managing applications Familiarity with GitHub for version control and code collaboration. Knowledge of containerization Strong conceptual problem-solving Ownership mindset Comfortable working in a fast-paced environment Non-Technical: First and foremost: Passionate about technology and excited about the More ❯

hands-on Platform Engineering or DevOps experience. Proven ability to manage and secure applications in AWS. Strong scripting skills with Python. Solid understanding of containerisation concepts and how they support scalability, isolation, and portability in modern application deployment. Familiarity with monitoring stacks (Grafana, Prometheus, etc.) Working knowledge of CI/ More ❯

development with React or another modern web framework DevOps Kubernetes Infrastructure engineering with Terraform, Pulumi or similar Data workload orchestration with Airflow or similar Containerisation with Docker Experience with SQL, as well as relational database design and administration Experience in other tools not listed is also a plus Strong work More ❯

Dagster or similar. Understanding of data modelling, warehousing, and architecture best practices. Experience using Power BI or similar tools for visualisation. Bonus: Familiarity with containerisation tools such as Docker and Kubernetes. It’s A Bonus If You Have: Experience working in insurance, finance, or other data-heavy industries. A proactive More ❯

Dagster or similar. Understanding of data modelling, warehousing, and architecture best practices. Experience using Power BI or similar tools for visualisation. Bonus: Familiarity with containerisation tools such as Docker and Kubernetes. It’s A Bonus If You Have: Experience working in insurance, finance, or other data-heavy industries. A proactive More ❯

C#/.NET (currently on 4.6.1, migration planned) SQL Server (Any RDBMS experience is ok) Python (nice to have) Docker (nice to have some containerisation appreciation) CI/CD, monitoring, observability (nice to have) Experience in XP or lean development (nice to have) The Role: You’ll be the lead More ❯

C#/.NET (currently on 4.6.1, migration planned) SQL Server (Any RDBMS experience is ok) Python (nice to have) Docker (nice to have some containerisation appreciation) CI/CD, monitoring, observability (nice to have) Experience in XP or lean development (nice to have) The Role: You’ll be the lead More ❯

and plan for future growth to accommodate increased loads. Knowledge, Experience, and Technical Know-How: Strong knowledge of cloud platforms (AWS, Azure, GCP) and containerisation technologies. Familiarity with CI/CD pipelines and DevOps methodologies. Proficient in scripting/programming languages such as Python, Bash, or PowerShell. Expertise in test More ❯

workflows, and mentor junior team members. Software Engineer - (Not all) Skills Required: Python (FastAPI, Flask) REST API development RabbitMQ/Message queue PostgreSQL Databricks Containerisation: Docker, Kubernetes CI/CD: Azure DevOps, GitHub Actions Relational databases and data lake architecture Model and data pipeline integration (e.g. MLflow) Microsoft Azure (Functions More ❯

workflows, and mentor junior team members. Software Engineer - (Not all) Skills Required: Python (FastAPI, Flask) REST API development RabbitMQ/Message queue PostgreSQL Databricks Containerisation: Docker, Kubernetes CI/CD: Azure DevOps, GitHub Actions Relational databases and data lake architecture Model and data pipeline integration (e.g. MLflow) Microsoft Azure (Functions More ❯

team members. Software Engineer - Skills Required: Python (FastAPI, Flask) (or another asynchronous language/framework) REST API development RabbitMQ/Message queue PostgreSQL Databricks Containerisation: Docker, Kubernetes CI/CD: Azure DevOps, GitHub Actions Relational databases and data lake architecture Model and data pipeline integration (e.g. MLflow) Microsoft Azure (Functions More ❯

system stability. Improve reliability and performance with a focus on high availability. Requirements: Experience with AWS infrastructure, networking, IAM, and load balancing. Proficiency in containerisation (Docker, Kubernetes, Helm) and messaging systems (Kafka). Hands-on CI/CD pipeline development (GitHub Actions/GitOps preferred). Strong PostgreSQL management skills More ❯

system stability. Improve reliability and performance with a focus on high availability. Requirements: Experience with AWS infrastructure, networking, IAM, and load balancing. Proficiency in containerisation (Docker, Kubernetes, Helm) and messaging systems (Kafka). Hands-on CI/CD pipeline development (GitHub Actions/GitOps preferred). Strong PostgreSQL management skills More ❯

us: Knowledge of cloud platforms such as AWS, Azure, or Google Cloud, knowledge of DevOps practices and CI/CD pipelines, and familiarity with containerization tools. Additional experience with distributed systems, sharding, Pub/Sub concepts, and an understanding of Agile methodologies will further enhance your candidacy. By joining RedCloud More ❯

but not required). Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-Learn) and cloud platforms (AWS, GCP, or Azure). Familiarity with containerisation technologies (Docker, Kubernetes). Experience working with CI/CD pipelines, model registries, and ML observability tools . Understanding of responsible AI principles, model monitoring More ❯

ML models. Experience working with Polars and/or Pandas for high-performance data processing. Proficiency with cloud platforms (AWS, GCP, or Azure), including containerization and orchestration using Docker and Kubernetes. Hands-on experience with reinforcement learning frameworks such as OpenAI Gym or Stable-Baselines3. Practical knowledge of optimization algorithms More ❯

experience in a government or public sector role. Extensive knowledge of AWS services and best practices. Proficiency in Node.js and TypeScript. Strong understanding of containerization (Docker) and orchestration (Kubernetes). Excellent problem-solving skills and attention to detail. Ability to work effectively in a collaborative team environment. Strong communication and More ❯

and Postgres, likely 2+ years of commercial experience. You have commercial experience working with cloud platforms like AWS or GCP; and some understanding of containerisation tech (e.g Docker). You are passionate about writing tested, robust, and observable code that solves real problems. You're an excellent communicator with the More ❯