1 to 25 of 101 Python Jobs in Scotland

needs We are looking for experience in the following: Cloud engineering across one or more of: Azure, AWS, GCP, Databricks, Microsoft Fabric or Snowflake Python and SQL, with strong engineering fundamentals Batch and/or streaming pipeline development, or cloud infrastructure and platform engineering or both CI/CD tooling ...

depth knowledge in one or more technical disciplines (e.g., cloud, observability, distributed systems, etc.) Advanced proficiency in one or more programming languages (e.g., Java, Python, Go, etc.) Advanced proficiency and experience in observability such as white and black box monitoring, SLO alerting, and telemetry collection using tools such as Grafana ...

CloudWatch Understanding of cloud architecture, distributed systems, and microservices. Experience validating infrastructure, platform services, APIs, and cloud deployments. Test Automation Strong automation skills using Python . Experience with test automation frameworks such as: o PyTest o Robot Framework o Behave API testing using Postman, Rest Assured, or equivalent tools. Experience ...

following: investment banking, risk, compliance, or relevant domain with understanding of regulatory considerations and responsible AI practices. Solid software engineering foundation with proficiency in Python, cloud platforms (AWS/Azure), APIs, and full-stack development to rapidly prototype and productionise AI applications. Experience with MLOps practices including model deployment, monitoring ...

messaging platforms (e.g., Amazon MSK/Kafka, EventBridge, SNS) Familiarity with containerization and platform engineering patterns (Docker, Kubernetes, Helm) and scripting for automation (e.g., Python) Familiarity with server-side development in Java and/or Kotlin using the Spring Boot ecosystem Exposure to multi-region or disaster-recovery architecture patterns ...

Microsoft Azure AI Fundamentals (AI-901) Practical, real-world project work designed to help you develop hands-on skills in Excel, SQL, Python and PowerBI Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network and recruitment partners ...

Microsoft Azure AI Fundamentals (AI-901) Practical, real-world project work designed to help you develop hands-on skills in Excel, SQL, Python and PowerBI Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network and recruitment partners ...

Microsoft Azure AI Fundamentals (AI-901) Practical, real-world project work designed to help you develop hands-on skills in Excel, SQL, Python and PowerBI Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network and recruitment partners ...

Microsoft Azure AI Fundamentals (AI-901) Practical, real-world project work designed to help you develop hands-on skills in Excel, SQL, Python and PowerBI Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network and recruitment partners ...

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 ...

front-end development, back-end services, APIs, cloud technologies, and data integrations within an Agile environment. Key Skills: Databrick React, Angular, or Vue .NET, Python, Node.js, or Java REST APIs & Microservices Azure Cloud CI/CD, Git, and DevOps practices Database and system integration experience Desirable: Experience in energy, trading ...

Splunk Microsoft Sentinel Cribl ELK Experience with AWS, Microsoft Azure and/or Google Cloud Platform (GCP). Scripting or programming skills using Python, Bash and/or PowerShell. Understanding of IDS/IPS, vulnerability management and endpoint security. Experience working within or alongside Security Operations Centre (SOC) teams. Knowledge ...

analytical and problem-solving skills, with the ability to diagnose model and extraction failures. Strong stakeholder-management, written communication and presentation skills. Desirable Experience: Python development experience. Experience with Microsoft Power Platform. Hands-on experience with Tungsten TotalAgility, including classification, extraction, validation and OCR configuration. Experience delivering enterprise-scale ...

leveraged in financial services. To be successful as an AI Platform Engineer at this level, you should have experience with: Proven experience in Python engineering, with a focus on backend and infrastructure tooling. Deep knowledge of AWS services (IAM, KMS, CloudFormation, API Gateway, S3, Lambda, ECS, Glue, Step Functions ...

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 ...

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 ...

from beginner to job-ready professional with a job guarantee or 100% of course fees refunded. The Training: 8 modules: Excel, SQL, Python, Tableau, Power BI, Azure AI Fundamentals, AI Business Professional, and Microsoft 365 Copilot & Agent Administration 4 Microsoft certifications ...

corporate environment with one or more modern programming languages and database querying languages Demonstrable ability to code in one or more languages such as Python or Java. Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation ...

reporting and analytics solutions using Microsoft Power BI and Microsoft Fabric. Build scalable data models, semantic models, dashboards, and self-service reporting capabilities. Develop Python-based data processing and automation solutions to ingest, transform, validate, and analyze large datasets. Collaborate with engineering and business stakeholders to identify performance trends, operational … including DAX, Power Query, semantic models, and dashboard design. Experience with Microsoft Fabric, Azure Data Services, or modern cloud-based analytics platforms. Advanced Python programming skills for data processing, automation, and analytics. Strong SQL development and database querying experience. Experience working with source control and collaborative development practices using GitHub. ...

experience in a technical leadership role. Strong expertise in modern data platforms, including data pipelines, ETL/ELT, data warehousing or lakehouse architectures, SQL, Python, and orchestration frameworks. Proven experience building and operating medallion architecture platforms (Bronze, Silver, Gold). Strong experience with Microsoft-based data technologies, including SQL Server ...

experience in a technical leadership role. Strong expertise in modern data platforms, including data pipelines, ETL/ELT, data warehousing or lakehouse architectures, SQL, Python, and orchestration frameworks. Proven experience building and operating medallion architecture platforms (Bronze, Silver, Gold). Strong experience with Microsoft-based data technologies, including SQL Server ...

strong willingness to learn and adapt to new technologies: \n \n Java (built with Gradle), makes up most of our services, although Typescript and Python can be found in the right places \n Cloud & AWS technologies , driving our journey into public cloud architecture \n Docker , for our containerised applications ...

makes our application development teams faster and more consistent by providing centralized libraries, build and attestation (compliance) systems. We own the SDLC languages (Java, Python, .NET, Rust, and Golang) used by the firm's developers, both for organically grown and inorganically acquired applications. We succeed by helping our customers succeed ...

advisor. Experience within SaaS, product-led technology organisations, or cloud-native software environments would be particularly valuable. Exposure to technologies such as .NET, C#, Python, microservices, and modern AI-enabled software development approaches would also be beneficial. Experience within the AEC sector or with platforms such as Autodesk or Bentley ...