1 to 25 of 138 Contract Python Jobs in the South East

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 ❯

have): • Windows and Linux operating systems • Virtualisation platforms (VMware, Hyper-V) and containerisation (Kubernetes, Docker)Networking concepts (TCP/IP, DNS, DHCP, firewalls) • Automation and scripting (e.g. PowerShell, Bash, Python, Ansible, Terraform) • Knowledge of cyber security controls and accreditation requirements • Experience across the systems engineering lifecycle Desirable: • Expertise with cloud platforms (AWS, Azure) and Infrastructure as Code (CloudFormation, Terraform) • Experience More ❯

solutions Windows and Linux operating systems Virtualisation platforms (VMware, Hyper-V) and containerisation (Kubernetes, Docker) Networking concepts (TCP/IP, DNS, DHCP, firewalls) Automation and scripting (e.g. PowerShell, Bash, Python, Ansible, Terraform) Knowledge of cybersecurity controls and accreditation requirements Expertise with cloud platforms (AWS, Azure) and Infrastructure as Code (CloudFormation, Terraform) Experience integrating enterprise services (Active Directory, PKI, monitoring, SIEM More ❯

solutions Windows and Linux operating systems Virtualisation platforms (VMware, Hyper-V) and containerisation (Kubernetes, Docker) Networking concepts (TCP/IP, DNS, DHCP, firewalls) Automation and scripting (e.g. PowerShell, Bash, Python, Ansible, Terraform) Knowledge of cybersecurity controls and accreditation requirements Expertise with cloud platforms (AWS, Azure) and Infrastructure as Code (CloudFormation, Terraform) Experience integrating enterprise services (Active Directory, PKI, monitoring, SIEM 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 ❯

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 ❯

team. Preferred Skills & Experience Bachelors degree in Computer Science, Mathematics, or equivalent experience. Strong technical knowledge of Linux systems. Proficiency in at least one high-level programming language (e.g., Python). Experience with relational databases (e.g., Postgres, SQL Server). Proven ability to design, build, and maintain high-performance, highly available environments, preferably on AWS (VPCs, security groups, RDS, S3 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 ❯

Experience Proven experience as a Platform Engineer , with a strong emphasis on user experience . Proficiency in container orchestration (Kubernetes) and cloud infrastructure management (AWS). Expertise in scripting (Python, Bash) and programming (Java). Hands-on experience with DevOps tools : GitLab, Ansible, Prometheus, Grafana, Nagios, Argo CD, Rancher, Harbour. Deep understanding of big data technologies : Hadoop, Spark, and NoSQL 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 ❯

Azure Administrator Associate HashiCorp Certified: Terraform Associate FinOps Certified Practitioner 5+ years in infrastructure and cloud engineering, including 3+ years working with Azure. Strong knowledge of IaC (Terraform, PowerShell, Python), CI/CD (Azure DevOps, GitHub Actions), and cloud security best practices. Proven experience embedding FinOps and cloud cost-management strategies. Background in regulated industries such as finance or government. 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 ❯

their workflows and deliver high-impact platform solutions. Champion operational reliability: Proactively monitor system performance, automate incident response, and strengthen platform resilience. What You'll Bring Strong proficiency in Python (or a similar high-level language) with a deep understanding of software engineering best practices - testing, automation, clean code, and CI/CD. Proven track record building and maintaining scalable More ❯

Mentorship and culture: Support the growth of peers through knowledge sharing and by championing engineering best practices. YOUR SKILLS AND EXPERIENCE The successful candidate will have: Strong experience in Python and a solid foundation in software engineering best practices (testing, CI/CD, automation). Proven track record of designing, building, and scaling data platforms in production environments. Hands-on More ❯

in PAM engineering or cybersecurity roles Proficiency with PAM tools such as CyberArk, BeyondTrust, or Delinea Strong understanding of Active Directory, LDAP, and authentication protocols Experience with scripting (PowerShell, Python) for automation and reporting Familiarity with compliance frameworks (ISO 27001, NIST, GDPR) Excellent problem-solving, communication, and documentation skills Desirable Skills/Experience: Although not essential, the following skills are More ❯

regular updates on progress, risks, and issues* Troubleshoot and resolve operational issues promptly* Pursue certifications to enhance software engineering skills Candidate Profile* Familiarity with the insurance industry* Proficiency in Python for traditional data science* Experience with generative AI tools, especially Gemini* Knowledge of cloud platforms such as Azure or GCP* Ability to interpret technical design documentation* Strong communication skills across More ❯

in PAM engineering or cybersecurity roles. Proficiency with PAM tools such as CyberArk, BeyondTrust, or Delinea. Strong understanding of Active Directory, LDAP, and authentication protocols. Experience with Scripting (PowerShell, Python) for automation and reporting. Familiarity with compliance frameworks (ISO 27001, NIST, GDPR). Excellent problem-solving, communication, and documentation skills. Preferred Qualifications Relevant certifications (eg, CyberArk Defender, CISSP, CISM) Experience More ❯

Required: Android app development (Android Studio/Gradle) Experience using the Android Camera/camera2/CameraX API Strong understanding of Android app architecture, particularly the activity lifecycle Java Python/Flask Interest in AI & ML Edge Processing Desirable: Interfacing Android apps with Bluetooth and USB peripherals Experience integrating 3rd party SDKs into Android apps JavaScript/VueJS/Nuxt More ❯

Required: Android app development (Android Studio/Gradle) Experience using the Android Camera/camera2/CameraX API Strong understanding of Android app architecture, particularly the activity lifecycle Java Python/Flask Interest in AI & ML Edge Processing Desirable: Interfacing Android apps with Bluetooth and USB peripherals Experience integrating 3rd party SDKs into Android apps JavaScript/VueJS/Nuxt More ❯

the look out for a Senior Data Engineer who has experience in: AWS - S3 for storage, Lambda functions, Athena (thus strong SQL). Open to interchangable Azure experience. Databricks Python Devops experience a bonus e.g. Terraform, Drone, Kubernetes cluster management for microservice style API data consumption Consultative behaviour - strong stakeholder engagement skills, providing true consultancy and leading the user journey More ❯

governance, and risk management requirements. Required Skills & Experience Proven experience leading technical delivery of AI/automation solutions using Microsoft Copilot Studio and Power Platform. Hands-on expertise in Python for automation, integration, or AI/ML tasks. Strong understanding of MCP (Microsoft Cloud Platform), A2A (Application-to-Application) integration, and Azure AI Foundry. Track record of embedding controls, governance More ❯

Strong proficiency in Azure Data Factory, Synapse Analytics, Databricks, and Azure SQL. Solid understanding of data modeling, ETL/ELT design, and data warehousing principles. Proficiency in SQL and Python for data transformation and automation. Experience working with version control (e.g., Git) and CI/CD for data solutions. Familiarity with data governance, metadata management, and data security best practices. More ❯

intelligence and pharmaceuticals, continuously enhancing technical expertise. Profile * The AI Engineer will have proven experience developing and deploying machine learning models in a commercial or scientific environment.* Proficient in Python and familiar with key libraries such as TensorFlow, PyTorch, and scikit-learn.* Experience working with cloud platforms such as Azure, AWS, or GCP, ideally within a data engineering or MLOps More ❯

orchestration and integration. Proficient in SQL for complex analytical transformations and optimisations. Comfortable working in agile teams and using Azure DevOps for CI/CD workflows. Nice to Have Python or PySpark for automation and data quality testing. Knowledge of data governance and security frameworks (RBAC, masking, encryption). Prior experience in financial services or insurance environments. All candidates must More ❯

data science governance. • Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML). • Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch). • Proven ability to assess or design organizational processes for data science delivery and model management. • Excellent analytical and communication More ❯