1 to 25 of 219 Contract Python Jobs in the UK excluding London

pressure. Experience with: Windows and Linux operating systems Virtualisation platforms (VMware, Hyper-V) and containerisation (Kubernetes, Docker) Networking (TCP/IP, DNS, DHCP, firewalls) Automation and scripting (PowerShell, Bash, Python, Ansible, Terraform) Cyber security controls and accreditation processes Systems engineering lifecycle from design to deployment Desirable Skills Experience with cloud platforms (AWS, Azure) and Infrastructure as Code (CloudFormation, Terraform) Integration 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 ❯

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 ❯

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 ❯

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 ❯

Vulnerability management, IDAM, scanning tools Docker/Podman, Kubernetes, GPU containerisation Microservices, serverless, REST/gRPC, Kafka/MQTT Git, GitLab CI/CD, Terraform/Ansible/Puppet Python/Rust, Linux scripting Prometheus, Grafana, Elastic More ❯

and promote DevOps best practices. Essential Skills Strong experience with Kubernetes, Docker, and container orchestration. Hands-on with CI/CD tools (GitLab CI, GitHub Actions). Proficient in Python, JavaScript, Golang. Experience with monitoring tools (Grafana, ELK). Agile delivery and JIRA proficiency. Excellent communication and documentation skills. Desirable Skills SIEM experience, particularly with Elastic Stack. Knowledge of ArgoCD More ❯

performance Essential Skills Strong hands-on experience with PySpark, Spark SQL, Spark Streaming, DataFrames Microsoft Fabric (Fabric Spark jobs, dataflows, pipelines, semantic models) Azure: ADLS, cloud data engineering, notebooks Python programming; Java exposure beneficial Delta Lake/Delta table optimisation experience Git/GitLab, CI/CD pipelines, DevOps practices Strong troubleshooting and problem-solving ability Experience with lakehouse architectures More ❯

performance Essential Skills Strong hands-on experience with PySpark, Spark SQL, Spark Streaming, DataFrames Microsoft Fabric (Fabric Spark jobs, dataflows, pipelines, semantic models) Azure: ADLS, cloud data engineering, notebooks Python programming; Java exposure beneficial Delta Lake/Delta table optimisation experience Git/GitLab, CI/CD pipelines, DevOps practices Strong troubleshooting and problem-solving ability Experience with lakehouse architectures More ❯

Technical Expertise in Azure AI services, Azure Machine Learning (ML), and AI Foundry. Hands-on experience with Azure Cognitive Services, Azure OpenAI, and Azure Data Factory. Solid programming skills (Python/C#,/.NET) Experience with Azure DevOps, CI/CD pipelines, and GitHub Actions. Knowledge of containerization (tools ie Docker) and orchestration (ie Kubernetes on Azure). Good awareness More ❯

to facilitate successful integrations Staying current with industry trends and applying new techniques to enhance integration capabilities What you'll bring: Proven experience in software integration, with skills in Python, C, Powershell, and CI/CD pipelines Strong knowledge of architectural patterns such as SOA, Microservices, ESB, and API design Expertise in designing and implementing integration solutions for COTS and More ❯

Essential skills Experience with containerization technology and orchestration platforms e.g. Kubernetes, Docker - Mandatory Hands-on experience in installing, configuring, operating, and monitoring CI/CD pipeline tools Experience in Python, JavaScript, Golang. Experience on Gitlab CI or GitHub Actions Experience in monitoring tools such as Grafana, ELK Experience in Agile software development systems and JIRA Tools. Understanding of IT, network More ❯

Essential Skills for the Senior Data Engineer: Proficient with Databricks and Apache Spark, including performance tuning and advanced concepts such as Delta Lake and streaming Strong programming skills in Python with experience in software engineering principles, version control, unit testing and CI/CD pipelines Advanced knowledge of SQL and data modelling (dimensional modelling, fact/dimension structures, slowly changing More ❯

releases Support live systems and troubleshoot issues Skills Needed AWS (Azure/GCP a plus) Git, GitLab CI/CD, Terraform, Ansible Docker, Kubernetes Security tools (SonarQube, vulnerability management) Python and Linux scripting Monitoring tools (Prometheus, Grafana) Defence experience is a bonus. Must be proactive and collaborative. Reasonable Adjustments: Respect and equality are core values to us. We are proud More ❯

on experience with Databricks, PySpark, Delta Lake, MLflow . Experience with LLMs (Hugging Face, LangChain, Azure OpenAI) . Strong MLOps, CI/CD, and model monitoring experience. Proficiency in Python, PyTorch/TensorFlow, FastAPI/Flask . Cloud architecture experience: Azure preferred, AWS/GCP acceptable . Skilled in Docker, Kubernetes, Helm, Terraform, IaC for deploying ML and web apps. More ❯

contributing to sprint planning, peer reviews and continuous improvement initiatives Essential Skills for the AWS Data Engineer: Extensive hands-on experience with AWS data services Strong programming skills in Python (including libraries such as PySpark or Pandas) Solid understanding of data modelling, warehousing and architecture design within cloud environments Experience building and managing ETL/ELT workflows and data pipelines More ❯

and relational databases Linux administration and shell scripting Familiarity with network security protocols Experience with cloud platforms, ideally AWS (EC2, RDS, S3, Lambda) Desirable: Coding experience in Java, Go, Python or similar Knowledge of cross-domain technologies Experience in service management environments Practical application of observability patterns Experience with Azure Additional Information: Due to the nature of the work, successful More ❯

Infrastructure Engineer, Cloud Data Engineer, DataOps Engineer, Data Pipeline Engineer, Devops Engineer or in a similar role. Proven experience with Azure cloud platforms and related architecture. Highly skilled in Python for data engineering, scripting, and automation. Strong working knowledge of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience More ❯

Familiarity with performance engineering, capacity planning, resilience testing, and telemetry-based insights. Experience supporting cloud-native platforms and modern application architectures. Proficiency in programming and scripting languages such as Python or Go. Experience building and managing enterprise-grade observability solutions. Strong understanding of secrets management, RBAC, audit logging, compliance, and secure infrastructure practices. Reasonable Adjustments: Respect and equality are core More ❯

with Infrastructure as Code tools (Terraform, Ansible, etc.). 2. Minimum 3 + year 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 ❯

of Docker and Kubernetes (ECS/EKS). Continuous Integration/Delivery: Skilled in managing CI/CD pipelines using Jenkins and GitHub Actions. Programming: Working knowledge of Go, Python, and JavaScript for automation and tooling. Responsibilities: Lead the development and operational support of secure, scalable web services. Champion automation across deployment, configuration, and monitoring processes. Govern and optimise multi More ❯

Composer) Strong understanding of cloud services and architectures in AWS/Azure Familiarity with API design and management , REST/SOAP , and event-driven architectures Hands-on experience with Python, JavaScript, or ETL/data transformati on tools Knowledge of SaaS platforms such as Salesforce, ServiceNow, SAP, or Pega Awareness of DevOps, CI/CD, and version control (Git, Azure More ❯

Azure cloud experience for data storage and processing, considerations made for alternate cloud providers such as AWS and GCP. Substantial programming ability using languages/tools such as R, Python and C++ for data manipulation and scripting Solid understanding of relevant data governance, data quality, and data security best practices Strong problem-solving skills, and the ability to think critically More ❯

experience is also very relevant. Proven track record building CI/CD pipelines and infrastructure-as-code. Experience developing and supporting production-grade applications in languages such as Java, Python or C#. Technical leadership in a specialist domain (e.g., containers, data platforms, cloud networking). Experience working in regulated environments with a focus on security and compliance. Desirable Experience Solid More ❯