1 to 25 of 183 Permanent Python Jobs in Scotland

the world's leading financial institutions. Key Accountabilities Responsibilities will include: • Design, develop and maintain highly available, secure, and performant backend REST API services along with frontend client using Python, Golang, Docker and Cloud-Native services. • Implement and manage database schema changes using Liquibase, ensuring alignment with compliance and audit standards. • Build and maintain CI/CD pipelines in collaboration More ❯

on, practical experience with Microsoft Copilot (e.g., Copilot for M365, building custom Copilots) or Azure OpenAI Service (GPT models, embeddings, prompt engineering). Technical Proficiency: Strong programming skills in Python or C# and experience with relevant SDKs (Azure SDK, LangChain, Semantic Kernel). Azure AI Services: Practical experience with several of the following: Azure Cognitive Services (Vision, Speech, Language), Azure More ❯

working in microservices architectures using REST and message queues Experience working within an agile team-based software lifecycle methodology delivering tasks to budget and timescale Expert knowledge in Java, Python or C# Experience working with relational and document databases Good knowledge of DevOps tools (Git, Atlassian, Maven, Docker, Terraform, Ansible, etc.) Linux and Windows experience Networking experience The following skills More ❯

working in microservices architectures using REST and message queues. Experience working within an agile team-based software lifecycle methodology delivering tasks to budget and timescale. Expert knowledge in Java, Python or C#. Experience working with relational and document databases. Good knowledge of DevOps tools (Git, Atlassian, Maven, Docker, Terraform, Ansible, etc.). Linux and Windows experience. Networking experience. The following More ❯

working in microservices architectures using REST and message queues; Experience working within an agile team-based software lifecycle methodology delivering tasks to budget and timescale; Expert knowledge in Java, Python or C#; Experience working with relational and document databases; Good knowledge of DevOps tools (Git, Atlassian, Maven, Docker, Terraform, Ansible, etc.); Linux and Windows experience; Networking experience. Highly advantageous skills More ❯

requirements Engaging with customers to address design issues, prepare proposals, and facilitate discussions on technical challenges Qualifications Strong expertise in one or more programming languages, such as Java, JavaScript, Python, React, Angular, etc. Professional experience with cloud platforms: AWS especially, but experience in Azure or Google Cloud are an asset Strong Knowledge of Infrastructure-as-Code, such as Terraform or More ❯

Capable of articulating technical concepts to both technical teams and senior stakeholders, with experience engaging project stakeholders, taking ownership of individual features, and driving requirements gathering and technical planning Python development experience, particularly for data processing or automation workflows Experience with LLM APIs and AI platforms (OpenAI, Anthropic Claude, prompt engineering) Experience with Agentic AI, machine learning integration, or intelligent More ❯

Oracle Cloud Infrastructure (OCI) and Azure. Proficiency in version control and DevOps tools like GitHub, Git Actions, Jenkins, Terraform. Programming and Scripting skills in SQL, PL/SQL, Java, Python, Shell Scripting. Experience with data and reporting tools such as Oracle Analytics Cloud, Power BI, Tableau. Understanding of security and compliance standards including OAuth2, SAML, RBAC, encryption standards. We are More ❯

and hence a trusted adviser to key stakeholders Numerate & analytical with knowledge of data management Proficient in BI tools like PowerBI, Qlik, Tableau Proficient in Microsoft SQL Proficient in Python/R Strong knowledge of statistical methodologies and data analysis techniques (eg clustering) Passionate about data analytics. Technically self sufficient with a desire and ability to research and pick up More ❯

with observability tools (eg, Grafana, Prometheus, Datadog). Background in DevOps, SRE, or platform engineering with a security first mindset. Strong programming skills in languages such as .Net, JavaScript, Python or similar. Experience with CI/CD tools (eg, GitHub Actions, ADO Pipelines). Familiarity with containerization and orchestration (eg, Docker, Kubernetes). Understanding of Azure. Excellent problem-solving and More ❯

Snowflake, and related platforms. Experience with Azure DevOps CI/CD pipelines, including YAML pipeline creation, artifact management, and automated secrets handling. Good Scripting skills in SQL, PowerShell, and Python, combined with a strong understanding of security, compliance, and agile delivery methodologies.About the department We are proud to be a Disability Confident Committed employer. If you have a disability and More ❯

data preprocessing and feature engineering to boost model accuracy and efficiency. You'll be a successful Machine Learning Engineer at OVO if you Excellent production level programming skills in Python, including experience with software testing (unit, integration, system), and knowledge of test-driven development; other languages are a plus. Proficiency in at least one ML framework, such as scikit-learn More ❯

Tech Stack You'll Work With Databricks : Lakeflow Declarative Pipelines, Workflows, Unity Catalog, SQL Warehouses Azure : ADLS Gen2, Data Factory, Key Vault, vNets & Private Endpoints Languages : PySpark, Spark SQL, Python, Git DevOps : Azure DevOps Repos, Pipelines, CI/CD Analytics : Power BI, Fabric ? What We're Looking For Experience 5-8+ years of Data Engineering with 2-3+ More ❯

Tech Stack You'll Work With Databricks : Lakeflow Declarative Pipelines, Workflows, Unity Catalog, SQL Warehouses Azure : ADLS Gen2, Data Factory, Key Vault, vNets & Private Endpoints Languages : PySpark, Spark SQL, Python, Git DevOps : Azure DevOps Repos, Pipelines, CI/CD Analytics : Power BI, Fabric What We're Looking For Experience 5-8+ years of Data Engineering with 2-3+ More ❯

Tech Stack You'll Work With Databricks : Lakeflow Declarative Pipelines, Workflows, Unity Catalog, SQL Warehouses Azure : ADLS Gen2, Data Factory, Key Vault, vNets & Private Endpoints Languages : PySpark, Spark SQL, Python, Git DevOps : Azure DevOps Repos, Pipelines, CI/CD Analytics : Power BI, Fabric What We're Looking For Experience Significant commercial experience of Data Engineering with years delivering production workloads More ❯

Terraform, and other DevOps tools for source control, code reviews, and CI/CD pipeline implementation. Proficiency in programming and Scripting languages such as SQL, PL/SQL, Java, Python, and Shell Scripting. We are proud to be a Disability Confident Committed employer. If you have a disability and would like to apply to one of our UK roles under More ❯

public cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of networking, storage solutions, and Active Directory in cloud environments. Experience with automation tools (Terraform, Ansible, PowerShell, or Python). Understanding of IT security best practices, identity management, and compliance. Strong troubleshooting skills and ability to work in a fast-paced environment. More ❯

public cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of networking, storage solutions, and Active Directory in cloud environments. Experience with automation tools (Terraform, Ansible, PowerShell, or Python). Understanding of IT security best practices, identity management, and compliance. Strong troubleshooting skills and ability to work in a fast-paced environment. More ❯

strategy. Key Accountabilities, Skills & Experience Strong experience with AWS services such as EC2, RDS, IAM, and S3 (S3 especially relevant for file transfer operations). Proficiency in scripting using Python, PowerShell, or Groovy . Hands-on experience with CI/CD workflows , ideally using Jenkins . Solid background with Infrastructure as Code , specifically Terraform . Experience with Configuration Management , ideally More ❯

Hybrid, 3 days onsite) Contract: 06-12months with possible extensions (No Sponsorship Available ) Skills/Qualifications: · 4+ years of experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc. · 3+ years hands-on experience with cloud services, especially Databricks, for building and managing scalable data pipelines · 3+ years of proficiency in More ❯

exposure to different languages and frameworks - it's a great learning environment, where you'll never stagnate or feel bored. The tech stack commonly includes .NET, TypeScript, React.js, Node.js, Python, AWS, and Azure , and they're strong advocates for modern DevOps practices ( Bicep, Terraform, Kubernetes etc.). Anyone with experience or a genuine interest in these areas would be a More ❯

exposure to different languages and frameworks - it's a great learning environment, where you'll never stagnate or feel bored. The tech stack commonly includes .NET, TypeScript, React.js, Node.js, Python, AWS, and Azure , and they're strong advocates for modern DevOps practices ( Bicep, Terraform, Kubernetes etc.). Anyone with experience or a genuine interest in these areas would be a More ❯

architecture, and cloud technologies. Youll bring hands-on experience with tools such as Microsoft Azure , MS Fabric , Data Factory , Logic Apps , and Function Apps , as well as proficiency in Python , Java , or .NET . You understand what makes data reliable, secure, and useful and you know how to make complex systems talk to each other. Youll thrive in a collaborative More ❯

Software, Computer Science, Cybersecurity, or equivalent proven knowledge. Proficiency with tools such as Burp Suite, OWASP ZAP, Nessus, Metasploit, Wireshark, Nmap, Fortify, Checkmarx. Knowledge of scripting languages such as Python, JavaScript, Bash, or PowerShell. Understanding of encryption algorithms, key management, and secure protocols (TLS, SSH, etc.) Detailed understanding of common vulnerabilities (e.g., OWASP Top 10, CWE/SANS Top More ❯

and Platform Engineering Git and version control workflows Security engineering tools and practices: SAST/DAST tools (Checkmarx, Veracode, SonarQube) Container security (Aqua, Snyk, Anchore) Programming and scripting languages (Python, Go, YAML, JSON etc.) A background in financial services or similar regulated industries. Familiarity with compliance frameworks, and security requirements (e.g., ISO 27001, SOC 2, SOX, PCI DSS, FedRAMP, FFIEC More ❯