26 to 50 of 2,842 Python Jobs in England

Develop containerized solutions (Kubernetes/Docker) in Azure. Key Skills: 2–3 years experience in cloud platforms (Azure/AWS) and CI/CD pipelines. Strong skills in scripting (Python, Bash, PowerShell, JavaScript). Experience with infrastructure-as-code (Terraform, Ansible, etc.). Passion for problem-solving, automation, and collaboration. More ❯

background with Windows and Linux operating systems Virtualisation (VMware, Hyper-V) and containerisation (Kubernetes, Docker) Solid understanding of networking (TCP/IP, DNS, DHCP, firewalls) Automation & Scripting (PowerShell, Bash, Python, Ansible, Terraform) Knowledge of cyber security controls and accreditation frameworks Experience across the systems engineering lifecycle Desirable: Cloud expertise (AWS, Azure) & Infrastructure as Code (Terraform, CloudFormation) Experience with enterprise integrations More ❯

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 ❯

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 ❯

projects with senior engineers. What We're Looking For 1-5 years experience in DevOps, DevSecOps, or related engineering roles. Hands-on experience with Linux systems and scripting (Bash, Python, or PowerShell). Familiarity with CI/CD tools (GitHub Actions, Jenkins, CircleCI). Basic understanding of cloud services (AWS, GCP, or Azure). Interest in security principles , threat detection 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 ❯

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 ❯

and Azure o Tools for scalable data processing: Kubernetes, Spark â Experience with Java 2D graphics and 3D OpenGL programming. â Experience with scientific computing libraries and frameworks: o Python: NumPy, SciPy, Pandas, TensorFlow (for ML/AI) o C Java: CUDA (for GPU acceleration) o Angular or React o Microservice: Quarkus, Spring Boot, AWS API Gateway o Docker, Kubernetes 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 ❯

Kubernetes experience is a plus. Experience with at least one major public cloud (AWS, Azure, or GCP), ideally working with big data or database services. Strong programming skills in Python (Java a plus); familiarity with TypeScript or Go is (nice to have.) Experience contributing to open source or working with communities to gather feedback, triage issues, and guide contributors. (Nice More ❯

and Qualifications: 1. experience with Infrastructure as Code tools (Terraform, Ansible, etc.). 2. hands-on experience with OpenShift Virtualization and Kubernetes. 3. Proficiency in scripting languages (e.g., Bash, Python) for automation tasks. 4. Knowledge of cloud platforms (AWS, Azure, GCP) and hybrid cloud environments. 5. Familiarity with CI/CD tools (Jenkins, GitLab, ArgoCD, etc.). 6. Strong understanding More ❯

Hyper-V), and automation (e.g., Terraform, Ansible). Strong leadership and project management skills with the ability to manage complex projects and teams. Proficiency in scripting languages (PowerShell, Bash, Python). Familiarity with containerization technologies (Docker, Kubernetes) is a plus. Experience with security frameworks and maintaining compliance (ISO 27001, CE+). Excellent problem-solving, communication, and documentation skills. Qualifications: Bachelors More ❯

Excellent problem-solving and debugging skills. Preferred Qualifications Experience with databases such as PostgreSQL , InfluxDB, TimescaleDB, Redis. Familiarity with GraphQL , RESTful API design, and integration. Exposure to other languages (Python, Java, C/C++). Knowledge of Infrastructure as Code (IaC) and DevOps methodologies. Understanding of security best practices and monitoring tools (e.g., Prometheus, Nagios). To find out more More ❯

Excellent problem-solving and debugging skills. Preferred Qualifications Experience with databases such as PostgreSQL , InfluxDB, TimescaleDB, Redis. Familiarity with GraphQL , RESTful API design, and integration. Exposure to other languages (Python, Java, C/C++). Knowledge of Infrastructure as Code (IaC) and DevOps methodologies. Understanding of security best practices and monitoring tools (e.g., Prometheus, Nagios). To find out more More ❯

/SCM) . Strong knowledge of DevOps, CI/CD, and Infrastructure as Code (IaC) using tools like Terraform, Ansible , etc. Proficiency in Linux/Unix environments , scripting ( Bash, Python ), and version control ( Git ). Demonstrable experience managing Fusion quarterly updates, patches, and related integrations. Strong troubleshooting, analytical, and cross-functional communication skills. Desirable Skills Oracle Cloud Infrastructure (OCI) Certified More ❯

in Linux, network security, SQL, and AWS (EC2, S3, RDS, Lambda) Comfortable with MQ messaging (RabbitMQ or similar) Bonus points for: Experience with Azure environments Strong coding ability in Python, Java, or Go Knowledge of cross-domain systems or service management frameworks Proven application of observability and uptime metrics to reduce downtime The Offer: Contract position outside IR35 More ❯

such as Azure DevOps, Terraform, Node-Red, Packer. Proven ability to secure high-value data (PCI cardholder data, PII) and implement security best practices. Scripting and automation skills (PowerShell, Python, Bash, or similar). Ability to design, implement, and maintain CI/CD pipelines for infrastructure automation. Some experience managing cloud environments (Azure, AWS). This is an exciting new More ❯

technical role, such as solutions architect, sales engineer, or consultant. Strong understanding of cloud computing concepts, platforms, and services (preferably Google Cloud). Supporting Technical Skills Scripting: Proficiency in Python, Go, or Bash for automation. Problem-Solving: Strong troubleshooting and diagnostic abilities. Communication: Clear communication of complex technical information. Customer Service: Effective interaction and support for clients. DevOps Practices: Familiarity More ❯

Azure Bicep and Terraform. Experience in deploying a broad range of Azure resource types, including (not limited to) Storage accounts, Virtual machines, Synapse Databricks. Strong scripting skills in PowerShell, Python, or similar. Hands-on experience with continuous integration and continuous delivery (CI/CD) pipelines. Working knowledge of Azure services. Familiarity with version control systems, especially Git. Experience with monitoring More ❯

data processing and distributed computing frameworks. Knowledge of cloud platforms such as AWS, Azure, or GCP, with hands-on experience in cloud-based data services. Proficiency in SQL and Python for data manipulation and transformation. Experience with modern data engineering tools, including Apache Spark, Kafka, and Airflow. Strong understanding of data modelling, schema design, and data warehousing concepts. Familiarity with More ❯

data processing and distributed computing frameworks. Knowledge of cloud platforms such as AWS, Azure, or GCP, with hands-on experience in cloud-based data services. Proficiency in SQL and Python for data manipulation and transformation. Experience with modern data engineering tools, including Apache Spark, Kafka, and Airflow. Strong understanding of data modelling, schema design, and data warehousing concepts. Familiarity with More ❯

professional setting. Solid understanding of statistical modeling, machine learning fundamentals, and experimental design. Experience with predictive modeling techniques such as regression, classification, clustering, or time-series forecasting. Proficiency in Python and experience with data science libraries (e.g., Pandas, NumPy, scikit-learn, XGBoost, PyTorch, TensorFlow). Strong experience with SQL and data manipulation across large datasets. Familiarity with data visualization tools More ❯

Ensure compliance with internal governance frameworks for build, release, and operations. Participate in design and implementation reviews, promoting best practices and continuous improvement. Read, understand, and write code in Python, Java, Spark, or Terraform to support automation and pipeline enhancements. Conduct holistic problem-solving across the stack—from data pipelines to CI/CD and DAG orchestration. Perform Level More ❯

development in cloud environments (Azure preferred). Demonstrated success building and scaling production systems with global reach and multi-region deployment. Strong proficiency and current experience in React, Typescript, Python and database systems (SQL + NoSQL). Experience with performance monitoring and logging tools, including CloudWatch, Sentry, or DataDog, to ensure application stability, performance optimisation, and effective issue resolution Experience More ❯