1 to 25 of 362 Contract Python Jobs

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 ❯

and Harness Experience with Linux System Administration Understanding of high-availability, disaster-recovery, monitoring and logging at scale Deep hands-on Java (plus Spring framework). Nice to have: Python and Node.js Skills and Experience Consulting experience, preferably with major IT consulting Docker (DCA) or Kubernetes (CKAD) certification a plus Highly articulate with good communication skills across diverse groups, including 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 ❯

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 ❯

efforts. Skills and Qualifications Required Skills MSc/PhD degree in Artificial Intelligence, Computer Science/Engineering, Electrical Engineering, Mathematics, or a related discipline. Professional software development experience with Python (experience with C++, Java, or Kotlin is a plus). Deep understanding of machine learning and deep learning fundamentals, including various architectures, training techniques, and evaluation metrics. Strong experience in 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 ❯

application support and/or a DevOps background is a plus. Stack: Atlassian Suite (Jira, Confluence, Crowd, Bitbucket) Jenkins Cl Linux AWS Git/Github/Gitlab Bash and Python SQL/NO-SQL DB's Nginx More ❯

background in Infrastructure as Code (Terraform or Ansible) Experience building and maintaining CI/CD pipelines (Jenkins, GitLab CI, CircleCI) Knowledge of containerisation with Docker and Kubernetes Scripting in Python, Bash, or Go Monitoring and observability using Prometheus, Splunk, or similar Familiarity with Kafka, Akamai or Fastly, and databases like MySQL or MongoDB Excellent problem-solving and communication skills Comfortable More ❯

as AWS CodePipeline, Jenkins, GitHub Actions, or GitLab CI. - Knowledge of monitoring and logging tools, including CloudWatch, ELK stack, and Prometheus/Grafana. - Strong coding skills in languages like Python, Java, Node.js, or Go. - Ability to design scalable, secure, and resilient cloud-native applications. Additional Experience Required: - Ability to act on own authority to manage and provide direction to projects More ❯

tooling Working hands-on with IaaS, CI/CD pipelines, and containerised environments What you bring: Deep Linux expertise and fluency in at least one high-level programming language (Python preferred) Strong experience with AWS (VPCs, EC2, ECS/EKS, RDS, S3, etc.) Solid understanding of database systems (Postgres, SQL Server) IaC mastery (Terraform, CloudFormation, Ansible) Passion for monitoring and More ❯

tooling Working hands-on with IaaS, CI/CD pipelines, and containerised environments What you bring: Deep Linux expertise and fluency in at least one high-level programming language (Python preferred) Strong experience with AWS (VPCs, EC2, ECS/EKS, RDS, S3, etc.) Solid understanding of database systems (Postgres, SQL Server) IaC mastery (Terraform, CloudFormation, Ansible) Passion for monitoring and 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 ❯

Azure Storage. Strong SQL skills and expertise in dimensional modelling (e.g., star/snowflake schemas). Familiarity with Power BI dataflows, DAX, and RLS setup. Hands-on experience with Python, PySpark, or T-SQL for data processing and automation. Understanding of CI/CD practices in data projects using Git and YAML pipelines. Solid knowledge of data security, governance, and 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 ❯