1 to 25 of 117 Python Jobs in Scotland

cause analysis. Knowledge of CI/CD pipelines and modern software delivery practices. Experience with automation and scripting using tools such as PowerShell, Bash, Python, or similar. Understanding of networking, security, high availability, and disaster recovery principles. Experience supporting highly available, customer-facing applications and services. Skills Site Reliability Engineering ...

proven track record of delivering high‐quality, clean code. Backend & Architecture: Expertise in designing and building scalable microservices‐based architectures using languages like Node.js, Python, and TypeScript. Cloud & DevOps: Hands‐on experience with cloud platforms (GCP, AWS), containerization (Docker, Kubernetes), and modern CI/CD practices. Frontend Development: Proficiency ...

DevOps pipelines) Cloud platforms (AWS/Azure/GCP) log and metric ingestion Splunk certifications (Power User, Admin, ITSI) Experience with automation and scripting (Python, Shell). ________________________________________ Soft Skills Strong communication and stakeholder handling skills Ability to explain complex technical concepts to non technical audiences Ownership mindset and delivery focus ...

scalability, monitoring, security boundaries, and customer impact. · Practical experience with identity and automation technologies, including Microsoft Entra ID and Active Directory · Automation using PowerShell, Python, or low‐code tools such as Power Automate. · Relevant Microsoft Azure certification (e.g. AZ‐104 or equivalent) or demonstrable equivalent experience operating Azure environments ...

version control systems (Git, Mercurial etc.) • Expertise with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Azure DevOps etc.) • Strong scripting ability (e.g. Python, Shell, PowerShell) • OCI container build, management and orchestration (Docker, Podman, Kubernetes, LXC etc.) • Artifact and dependency management and deployment • Familiarity with networking fundamentals including ...

client leadership Translating technical requirements into business outcomes Driving programme delivery across modern data environments Environment Azure, AWS, GCP Databricks, Snowflake, Power BI Python, SQL Jira, Confluence, Agile/SaFe Modern data architecture and governance environments Requirements Experience delivering large-scale data or AI programmes Strong stakeholder and programme leadership ...

operationalise pipelines. Collaborate with engineers, architects and SMEs to deliver stable, high-quality data products. Skills and Experience Strong programming skills in Java, Python or Scala. Experience with cloud data services (GCP preferred; Azure/AWS acceptable). Experience with distributed data processing frameworks such as Spark (Core/ ...

technologies, applied cryptography, security vulnerabilities and remediations.* Significant software development experience. Experience in Go (our main backend language), Typescript/Javascript, C/C++, Python and Bash is desirable.* Working knowledge of web-related protocols and technologies (HTTP, REST APIs, DOM, CSP), networking protocols (IP, TCP, UDP), and security protocols ...

services and AI integration layers • Working closely with engineering, architecture and business stakeholders • Supporting deployment, governance, monitoring and operationalisation of AI solutions Technology Environment • Python, SQL • LLMs, GenAI, Prompt Engineering, Fine-Tuning • RAG, Vector Databases, Embeddings • LangChain, LangGraph, Agent Frameworks • FastAPI, APIs, Microservices • AWS, Azure, GCP, Databricks • CI/ ...

such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants to work on high ...

running workshops Experience with Microsoft data technologies (e.g. Fabric, Azure, SQL Server, Power BI) Solid coding skills in data-focused tools/languages (e.g. Python, SQL, Data Factory) Strong problem-solving and analytical thinking Self-motivated, with the ability to take ownership of projects Excellent communication skills (written and verbal ...

Azure/AWS/GCP Solutions Architect, along with CCSP or equivalent. Consulting or client facing project leadership experience. Experience with .NET or Python and modern infrastructure practices such as immutable deployments and GitOps. Familiar with cloud‐native security tooling and contributing to internal platform frameworks or shared services. What ...

deployment, governance and integration patterns Collaborating with engineering, data, DevOps and business teams Advising clients on AI platform capability and implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes ...

instruction and project work you'll be ready for business challenges from day one. What you'll get: Seven training modules , covering Excel, SQL, Python, Tableau, Power BI and more. Three official certifications : Microsoft Azure Data Fundamentals, Microsoft Power BI Data Analyst Associate and Microsoft Azure AI Fundamentals. Real-world ...

instruction and project work you'll be ready for business challenges from day one. What you'll get: Seven training modules , covering Excel, SQL, Python, Tableau, Power BI and more. Three official certifications : Microsoft Azure Data Fundamentals, Microsoft Power BI Data Analyst Associate and Microsoft Azure AI Fundamentals. Real-world ...

instruction and project work you'll be ready for business challenges from day one. What you'll get: Seven training modules , covering Excel, SQL, Python, Tableau, Power BI and more. Three official certifications : Microsoft Azure Data Fundamentals, Microsoft Power BI Data Analyst Associate and Microsoft Azure AI Fundamentals. Real-world ...

instruction and project work you'll be ready for business challenges from day one. What you'll get: Seven training modules , covering Excel, SQL, Python, Tableau, Power BI and more. Three official certifications : Microsoft Azure Data Fundamentals, Microsoft Power BI Data Analyst Associate and Microsoft Azure AI Fundamentals. Real-world ...

experimentation, statistical analysis, and modelling Strong SQL and data manipulation skills Experience with Elastic/Elasticsearch and observability tooling Engineering & AI Capability Strong Python skills and experience building data/ML pipelines Experience developing APIs or production-grade systems Hands-on exposure to LLMs and prompt engineering Understanding ...

degree (or higher) in Computer Science , Software Engineering , or a related field (or equivalent practical experience) Strong experience with the following programming languages: C# Python C++ Java and/or Rust Solid experience working in Linux environments Hands‐on experience with container technologies (e.g., Docker) Good understanding of IoT systems ...

evaluate, and deploy bespoke predictive models where off-the-shelf AI approaches are insufficient, with practical experience in model training, feature engineering, and evaluation Python: Clean, production-quality code under real-world constraints, incomplete data, unreliable APIs, shifting requirements Cloud AI (AWS/Azure): Deploying AI solutions in production, including ...

applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building … price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step ...

applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building … price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step ...

experience: Experience with automation tools such as Selenium, Playwright, Cypress, or Appium. Experience of programming languages e.g. Java, C#, JavaScript/TypeScript or Python Experience with API testing tools (Postman, RestAssured, Karate) Experience with cloud environments (Azure/AWS/GCP) Experience of containerisation (Kubernetes/Docker) ISTQB certification - Desirable ...

embedding models Developing scalable backend services and AI integrations Collaborating across engineering, architecture and business teams Supporting AI deployment, governance and operational rollout Environment Python, SQL LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases, FastAPI, APIs AWS, Azure, GCP or Databricks CI/CD, MLOps ...

IaaC with Terraform Solid knowledge and hands-on experience of Helm Solid knowledge and hands-on experience of automation scripting languages such as Python or Bash Solid communication, stakeholder management, and presentation skills Strong analytical and troubleshooting skills Desirable Skills Experience with HashiCorp Vault Experience with Jenkins for CI/ ...