101 to 125 of 6,305 Python Jobs in the UK

Azure Infrastructure as Code using Terraform and Ansible CI/CD pipeline development with GitLab CI, Jenkins, or GitHub Actions Containerisation and orchestration using Docker and Kubernetes Scripting in Python, Bash, or PowerShell Monitoring and logging with Prometheus, Grafana, and ELK Stack Secure DevOps practices aligned with UK Government and MoD standards Experience working in Agile/Scrum environments Desirable More ❯

to simplify complex issues Experience delivering secure, resilient, scalable cloud architectures (Azure, AWS, GCP) Hands-on with IaC tools (Terraform, Bicep, CloudFormation) and CI/CD pipelines Proficient in Python or Bash scripting Knowledge of cloud security best practices (e.g. IAM, encryption, vulnerability management) Familiar with Docker, Kubernetes, serverless, and event-driven architectures Comfortable working with both SQL and NoSQL More ❯

to simplify complex issues Experience delivering secure, resilient, scalable cloud architectures (Azure, AWS, GCP) Hands-on with IaC tools (Terraform, Bicep, CloudFormation) and CI/CD pipelines Proficient in Python or Bash scripting Knowledge of cloud security best practices (e.g. IAM, encryption, vulnerability management) Familiar with Docker, Kubernetes, serverless, and event-driven architectures Comfortable working with both SQL and NoSQL More ❯

Document processes, configurations, and best practices for IaC and OpenShift Virtualization. Mandatory Skills Infrastructure as Code tools (Terraform, Ansible, etc.). OpenShift Virtualization and Kubernetes. Scripting languages (e.g., Bash, Python) for automation tasks. Cloud platforms (AWS, Azure, GCP) and hybrid cloud environments. CI/CD tools (Jenkins, GitLab, ArgoCD, etc.). Desirable Skills Networking, storage, and virtualization concepts. Version control More ❯

Document processes, configurations, and best practices for IaC and OpenShift Virtualization. Mandatory Skills Infrastructure as Code tools (Terraform, Ansible, etc.). OpenShift Virtualization and Kubernetes. Scripting languages (e.g., Bash, Python) for automation tasks. Cloud platforms (AWS, Azure, GCP) and hybrid cloud environments. CI/CD tools (Jenkins, GitLab, ArgoCD, etc.). Desirable Skills Networking, storage, and virtualization concepts. Version control More ❯

You’ll Be Doing Designing, developing, and maintaining Proof of Concept and Production systems. Writing clean, maintainable code in one or more languages such as JavaScript, Java, .NET, or Python . Using version control systems (e.g. Git, Mercurial, Perforce) to manage and collaborate on codebases. Implementing CI/CD pipelines with tools like Jenkins, Bamboo, TeamCity, or Bitbucket to automate More ❯

vacancy only. KEY SKILLS: DevOps Engineer/Cloud Consultant/DevOps Consultant/AWS/Azure/Kubernetes/CI/CD/Ansible/Terraform/Docker/Python/Cheltenham/Security Cleared/DV/DV Cleared/Enhanced Clearance More ❯

shell scripting skills. Familiarity with network security protocols . Experience deploying and maintaining systems on AWS (EC2, RDS, S3, Lambda). Desirable Skills Programming experience in Java, Go, or Python . Understanding of cross-domain technologies and security models. Background in service management environments and ITIL practices. Proven application of observability patterns and system health metrics. Experience with Microsoft Azure More ❯

infrastructure engineering or systems administration. Strong hands-on expertise with cloud platforms (AWS, Azure, or GCP) and virtualization (VMware, Hyper-V). Proficiency in scripting and automation (PowerShell, Bash, Python). Familiarity with containerization technologies (Docker, Kubernetes) is an advantage. Excellent problem-solving, communication, and documentation skills. Proven experience in team leadership, project management, and high-pressure environments. Sponsorship not More ❯

For: 5+ years of experience in data engineering or related roles. Strong expertise in Databricks, Spark, Delta Lake, and cloud data platforms (AWS, Azure, or GCP). Proficiency in Python and SQL for data manipulation and transformation. Experience with ETL/ELT development and orchestration tools (e.g., Apache Airflow, dbt, Prefect). Knowledge of data modelling, data warehousing, and lakehouse More ❯

For: 5+ years of experience in data engineering or related roles. Strong expertise in Databricks, Spark, Delta Lake, and cloud data platforms (AWS, Azure, or GCP). Proficiency in Python and SQL for data manipulation and transformation. Experience with ETL/ELT development and orchestration tools (e.g., Apache Airflow, dbt, Prefect). Knowledge of data modelling, data warehousing, and lakehouse More ❯

infrastructure engineering or systems administration. Strong hands-on expertise with cloud platforms (AWS, Azure, or GCP) and virtualization (VMware, Hyper-V). Proficiency in scripting and automation (PowerShell, Bash, Python). Familiarity with containerization technologies (Docker, Kubernetes) is an advantage. Excellent problem-solving, communication, and documentation skills. Proven experience in team leadership, project management, and high-pressure environments. Sponsorship not More ❯

Strong expertise in Microsoft Azure services (Functions, APIM, Event Hub, SQL, Data Lake) Solid understanding of CI/CD methodologies and automated deployment practices Proficiency in scripting (PowerShell or Python) Knowledge of cloud security and FinOps principles Familiarity with git and gitflow version control Experience in agile delivery environments (Scrum or Kanban) Proven track record managing Azure infrastructure and building More ❯

Strong expertise in Microsoft Azure services (Functions, APIM, Event Hub, SQL, Data Lake) Solid understanding of CI/CD methodologies and automated deployment practices Proficiency in scripting (PowerShell or Python) Knowledge of cloud security and FinOps principles Familiarity with git and gitflow version control Experience in agile delivery environments (Scrum or Kanban) Proven track record managing Azure infrastructure and building More ❯

teams working on the ML Software Stack (SDK) Candidate Profile Essential: Bachelor or Master's Degree in Computer Science, Maths, Machine Learning, Data Science, or related field Knowledge of Python/Go/Java/C++ (or similar language) Experience managing or developing in Linux environments Understanding of CI/CD principles Strong communication skills Desirable Experience using Kubernetes (k8s More ❯

Technical Expertise: Proficient in application troubleshooting, root cause analysis, and log diagnostics. Experience with SQL queries and database management (primarily SQL Server). Knowledge of programming/scripting languages (Python, PowerShell, Bash). Hands-on experience with Infrastructure as Code tools such as Terraform and Ansible. Familiarity with Azure/Google Cloud/Kubernetes are a plus but not required More ❯

knowledge of AWS/Azure and Azure Virtual Desktop. Experience with configuration management tools, e.g., Ansible (preferred), Puppet, Chef. Familiar with (or ability to learn easily) the following languages: Python, bash scripting, React, Go. Experience with deploying, configuring, and managing cloud architecture and technologies in AWS environments. Experience with web application services such as NGINX, Apache, JBoss. Experience of Test More ❯

experience in backend and/or data engineering roles, with a strong focus on building and maintaining data pipelines. Proficiency in JVM-based languages (Java, Kotlin), ideally combined with Python and experience in Spring Boot Solid understanding of data engineering tools and frameworks, like Spark, Flink, Kafka, dbt, Trino, and Airflow. Hands-on experience with cloud environments (AWS, GCP, or More ❯

Java, Spring Boot and Microservices. Strong understanding of Agile and DevOps practices, with a focus on continuous integration and delivery. Some proficiency in one or more programming languages (e.g., Python, Java, JavaScript) and experience with software architecture patterns. Experience with cloud platforms (e.g., AWS, Azure, GCP) and infrastructure as code. Familiarity with CI/CD pipelines, automated testing, and modern More ❯

engineering projects from architecture to deployment, including ownership of production-grade systems. Deep expertise in ML frameworks and engineering stacks (TensorFlow, PyTorch, JAX, Ray, MLflow, Kubeflow). Proficiency in Python and at least one backend language (e.g., Java, Scala, Go, C++). Strong understanding of cloud ML infrastructure (AWS SageMaker, GCP Vertex AI, Azure ML) and containerized deployments (Kubernetes, Docker More ❯

CD tools (e.g., Jenkins, GitLab CI/CD, AWS CodePipeline). Knowledge of infrastructure-as-code (IaC) tools like Terraform or AWS CloudFormation. Proficiency in scripting and automation using Python, Bash, or similar languages. Exposure to containerization tools (e.g., Docker) and orchestration tools (e.g., Kubernetes). Basic understanding of monitoring and logging tools (e.g., CloudWatch, ELK Stack). General knowledge More ❯

e.g., OpenAI, Google Cloud AI, AWS AI Services) or integrating with custom-built models. Understanding of data processing for AI/ML applications and data pipeline considerations. Knowledge of Python for AI/ML scripting is a significant plus. Strong grasp of software design patterns, data structures, algorithms, and clean code principles. Excellent analytical and problem-solving skills, with a More ❯

Continuous Change + Software engineering with exposure to event high performance computing, event driven, big data analytics, machine learning + Program language polyglot (C, C++, C#, Java, Rust, Go, Python) + Enterprise and Solution Architecture + Cloud and On-Premise Networking Ability to effect technological and cultural change towards rapid technology adoption and absorption (for example, "automation first" implementations, making More ❯

and change management systems such as (ServiceNow, Ivanti) Expertise with automated incident response tools such as (Pager Duty, ServiceNow) Expertise with software development frameworks/languages (e.g., Java, PHP, Python, PowerShell) Extensive knowledge of cloud ecosystems (e.g. AWS, Red Hat OpenShift, Oracle Cloud Infrastructure, Microsoft Azure) Knowledge of DevOps tools, such as CI/CD tools (e.g., Azure DevOps, GitHub More ❯

Role: Python Software Developer - Treasury Location: London Industry: Hedge Funds Overview: A global multi-strategy hedge fund is looking to add an experienced Python Developer to join their Treasury team in London. The firm operates at hedge fund scale with a start-up pace, focusing on building high-performance trading platforms. In this role, you will design and develop cutting … liquidity management systems, working directly with traders and decision-makers in a live-market environment. Responsibilities: Architect and code resilient applications for trading, liquidity management, and funding operations using Python as the core language, with integration into data platforms and tools. Engage directly with traders and treasury stakeholders during live situations, adapting to evolving requirements and delivering solutions on the … design patterns to enhance speed and quality. Experience: 5-15 years of software engineering experience, ideally in Treasury or from a hedge fund/buy-side firm Expertise in Python for designing and optimising complex applications Strong proficiency in data tools like Pandas, NumPy, SQL, and real-time data processing Familiarity with DevOps practices, including Linux, cloud platforms, and CI More ❯