201 to 225 of 324 Microsoft-Azure Jobs in Scotland

Software Technical Lead (.NET/SQL/Azure/C#) Salary: Up to £75,000 + Bonus DOE | Hybrid working The Tech Lead will take a central role in driving the technical direction of software projects, ensuring the delivery of scalable, high-quality solutions. Acting as both a hands-on developer and a strategic leader, this role is … software engineering principles and design patterns. Proven track record using modern front-end frameworks such as Vue.js, React, or Angular. Significant experience designing and deploying solutions on Microsoft Azure, with knowledge of microservices architecture. Demonstrated ability to lead teams, mentor developers, and cultivate a collaborative working environment. Solid grounding in Agile delivery, ideally with practical Scrum experience. More ❯

client/HQ travel Want to build cloud-native apps that actually get used? This is a chance to join one of the UK’s most respected Microsoft Azure specialists, helping household names and ambitious enterprises modernise, innovate, and scale in the cloud. They’re a born-in-the-cloud Microsoft Solutions Partner, known for punching … above their weight in Azure delivery. Their Digital & App Innovation team is growing fast, and you’ll be part of the engine room, designing and building applications that solve real-world problems, not just ticking sprint boxes. Here, you’ll be surrounded by people who live and breathe Azure. Architects who set patterns and guardrails. Engineers who obsess … is never on hold. The Role Build and maintain applications with C#, .NET Core, ASP.NET Web API, Angular. Design and deliver RESTful APIs with clean, scalable architectures. Leverage Azure PaaS (App Services, Functions, API Management, Key Vault, Storage). Contribute to CI/CD pipelines with Azure DevOps; keep deployments smooth and reliable. Write integration tests More ❯

to join our Data & Analytics team. This role is instrumental in delivering clean, modern, and efficient data solutions across cloud-native platforms. Key Responsibilities Develop solutions across Snowflake, Azure, and DBT platforms. Lead migration and optimisation of applications using Azure cloud-native services. Write clean, testable, and maintainable code following industry standards. Implement CI/CD … pipelines and test automation using Azure DevOps or JIRA. Apply AI-powered development tools to improve engineering productivity. Drive continuous improvement in tools, technologies, and practices. Participate in Agile ceremonies including sprint planning and retrospectives. Mentor peers and junior team members through technical guidance. Collaborate with stakeholders to deliver user-centric solutions. About the Candidate The ideal candidate … will possess the following: Strong understanding of data warehousing, ELT/ETL processes, and data modelling. Proficiency in Azure, Snowflake, and DBT. Experience in application modernisation and migration. Ability to produce clean, testable, maintainable code. CI/CD pipeline implementation and test automation. Familiarity with AI-powered development tools like GitHub Copilot. Mentorship and knowledge sharing. We are More ❯

l lead the development of advanced analytics and machine learning solutions that drive real business value. 🔍 What You’ll Do Design, develop, and deploy machine learning models using Azure ML Studio and Python Translate complex data into actionable insights through Power BI dashboards and compelling storytelling Collaborate across teams to deliver secure, scalable, and responsible AI/ML … . (LEAD) Understanding of data science concepts, AI/ML models, evaluation approaches, and data science applications to enhance business processes. (LEAD) Proven hands-on experience in Microsoft Azure ML Studio. (LEAD) Experience using business intelligence tools, preferably Power BI. Experience applying Generative AI and prompting techniques. Strong understanding of data governance, model observability, and compliance frameworks. … deliver secure, scalable, and responsible data science solutions. Excellent communication and presentation skills. Extensive experience working collaboratively with diverse colleagues and stakeholders. ✅ Nice to Have Microsoft Certified: Azure Data Scientist Associate Familiarity with the Microsoft ecosystem (M365, Power Platform, Azure) Awareness of cybersecurity principles More ❯

l lead the development of advanced analytics and machine learning solutions that drive real business value. 🔍 What You’ll Do Design, develop, and deploy machine learning models using Azure ML Studio and Python Translate complex data into actionable insights through Power BI dashboards and compelling storytelling Collaborate across teams to deliver secure, scalable, and responsible AI/ML … . (LEAD) Understanding of data science concepts, AI/ML models, evaluation approaches, and data science applications to enhance business processes. (LEAD) Proven hands-on experience in Microsoft Azure ML Studio. (LEAD) Experience using business intelligence tools, preferably Power BI. Experience applying Generative AI and prompting techniques. Strong understanding of data governance, model observability, and compliance frameworks. … deliver secure, scalable, and responsible data science solutions. Excellent communication and presentation skills. Extensive experience working collaboratively with diverse colleagues and stakeholders. ✅ Nice to Have Microsoft Certified: Azure Data Scientist Associate Familiarity with the Microsoft ecosystem (M365, Power Platform, Azure) Awareness of cybersecurity principles More ❯

l lead the development of advanced analytics and machine learning solutions that drive real business value. 🔍 What You’ll Do Design, develop, and deploy machine learning models using Azure ML Studio and Python Translate complex data into actionable insights through Power BI dashboards and compelling storytelling Collaborate across teams to deliver secure, scalable, and responsible AI/ML … . (LEAD) Understanding of data science concepts, AI/ML models, evaluation approaches, and data science applications to enhance business processes. (LEAD) Proven hands-on experience in Microsoft Azure ML Studio. (LEAD) Experience using business intelligence tools, preferably Power BI. Experience applying Generative AI and prompting techniques. Strong understanding of data governance, model observability, and compliance frameworks. … deliver secure, scalable, and responsible data science solutions. Excellent communication and presentation skills. Extensive experience working collaboratively with diverse colleagues and stakeholders. ✅ Nice to Have Microsoft Certified: Azure Data Scientist Associate Familiarity with the Microsoft ecosystem (M365, Power Platform, Azure) Awareness of cybersecurity principles More ❯

the team Managing complex deliverables to successful completion, balancing technical debt and business priorities What We're Looking For Hands-on skills across the following: .Net, C#, SQL, Azure, Kubernetes, Docker, Azure DevOps Proven track record of leading technical staff and delivering complex projects Expertise in software best practices, automated testing methods and ability to identify More ❯

the team Managing complex deliverables to successful completion, balancing technical debt and business priorities What We're Looking For Hands-on skills across the following: .Net, C#, SQL, Azure, Kubernetes, Docker, Azure DevOps Proven track record of leading technical staff and delivering complex projects Expertise in software best practices, automated testing methods and ability to identify More ❯

. Understanding of industrial protocols (e.g., Serial, Modbus, HART). Proficiency in industry regulations including IEC 62443, ISO 27001, NIST, OWASP. Proficiency in incorporating DevSecOps strategies; Experience with Azure DevOps is a positive attribute. Self directed and motivated in a team orientated environment Preferred Qualifications That Set You Apart: Experience implementing DevSecOps standard processes; Azure DevOps More ❯

a call-centre setting is a plus Understanding of product architecture and data flows well enough to ask the right questions and avoid misinterpretation Usage of tools like Azure DevOps, SQL, Power BI, and Figma to validate assumptions and support solution design. Participation in UAT and environment setup to ensure whats delivered matches what was asked for. Data … analysis and reporting tools (Excel, Power BI, SQL). Requirements management and collaboration tools (Azure DevOps, Jira, Confluence). Process modelling and prototyping tools (BPMN, UML, Figma, Axure) Broader Responsibilities Contribute to continuous improvement backlog and DevOps readiness. Participate in environment setup, UAT, and testing as required. Support business readiness, training, and documentation for new releases and process More ❯

a call-centre setting is a plus Understanding of product architecture and data flows well enough to ask the right questions and avoid misinterpretation Usage of tools like Azure DevOps, SQL, Power BI, and Figma to validate assumptions and support solution design. Participation in UAT and environment setup to ensure what's delivered matches what was asked for. … Data analysis and reporting tools (Excel, Power BI, SQL). Requirements management and collaboration tools (Azure DevOps, Jira, Confluence). Process modelling and prototyping tools (BPMN, UML, Figma, Axure) Broader Responsibilities Contribute to continuous improvement backlog and DevOps readiness. Participate in environment setup, UAT, and testing as required. Support business readiness, training, and documentation for new releases and More ❯

a call-centre setting is a plus Understanding of product architecture and data flows well enough to ask the right questions and avoid misinterpretation Usage of tools like Azure DevOps, SQL, Power BI, and Figma to validate assumptions and support solution design. Participation in UAT and environment setup to ensure what’s delivered matches what was asked for. … Data analysis and reporting tools (Excel, Power BI, SQL). Requirements management and collaboration tools (Azure DevOps, Jira, Confluence). Process modelling and prototyping tools (BPMN, UML, Figma, Axure) Broader Responsibilities Contribute to continuous improvement backlog and DevOps readiness. Participate in environment setup, UAT, and testing as required. Support business readiness, training, and documentation for new releases and More ❯

Legacy Salesforce implementations using scalable architecture patterns. Write clean, testable, and maintainable code following Salesforce development standards. Implement and maintain CI/CD pipelines using Gearset, Copado, or Azure DevOps. Explore and apply AI-powered development tools (eg, Einstein GPT, GitHub Copilot). Drive enhancements in tooling, development processes, and platform capabilities. Participate in Agile ceremonies including sprint … and REST/SOAP APIs. Experience with Financial Services Cloud. Strong understanding of Salesforce security, data modelling, and governor limits. CI/CD pipeline implementation experience (Gearset, Copado, Azure DevOps). Familiarity with test automation and observability tools. Agile delivery experience and strong communication skills. Salesforce certifications (eg, Platform Developer II, Application Architect) are preferred. We are proud More ❯

cutting-edge AI solutions that enhance business processes and deliver real impact. What you will do: Design, develop, and deploy Agentic AI solutions using Microsoft Copilot Studio , Azure AI Foundry , and Azure AI Services . Fine-tune Large Language Models (LLMs) and apply Generative AI techniques. Build secure, scalable, and responsible AI solutions aligned with … to deliver high-value AI projects. What we’re looking for: Proven hands-on experience in Agentic AI development and automation using Microsoft Copilot Studio and Microsoft Azure AI Foundry Understanding of data science concepts, AI/ML models, automation workflows, and agentic orchestration to enhance business processes Strong understanding of AI/ML models , orchestration … workflows, and Power Platform concepts including Power Automate, Power Apps, and Dataverse Experience tunning LLMs on Microsoft Azure ML Studio/Azure AI Foundry and applying Generative AI and prompt engineering techniques. Strong understanding of AI governance, observability, and compliance frameworks. Proven ability to deliver secure, scalable, and responsible AI solutions. Excellent communication and presentation More ❯

cutting-edge AI solutions that enhance business processes and deliver real impact. What you will do: Design, develop, and deploy Agentic AI solutions using Microsoft Copilot Studio , Azure AI Foundry , and Azure AI Services . Fine-tune Large Language Models (LLMs) and apply Generative AI techniques. Build secure, scalable, and responsible AI solutions aligned with … to deliver high-value AI projects. What we’re looking for: Proven hands-on experience in Agentic AI development and automation using Microsoft Copilot Studio and Microsoft Azure AI Foundry Understanding of data science concepts, AI/ML models, automation workflows, and agentic orchestration to enhance business processes Strong understanding of AI/ML models , orchestration … workflows, and Power Platform concepts including Power Automate, Power Apps, and Dataverse Experience tunning LLMs on Microsoft Azure ML Studio/Azure AI Foundry and applying Generative AI and prompt engineering techniques. Strong understanding of AI governance, observability, and compliance frameworks. Proven ability to deliver secure, scalable, and responsible AI solutions. Excellent communication and presentation More ❯

cutting-edge AI solutions that enhance business processes and deliver real impact. What you will do: Design, develop, and deploy Agentic AI solutions using Microsoft Copilot Studio , Azure AI Foundry , and Azure AI Services . Fine-tune Large Language Models (LLMs) and apply Generative AI techniques. Build secure, scalable, and responsible AI solutions aligned with … to deliver high-value AI projects. What we’re looking for: Proven hands-on experience in Agentic AI development and automation using Microsoft Copilot Studio and Microsoft Azure AI Foundry Understanding of data science concepts, AI/ML models, automation workflows, and agentic orchestration to enhance business processes Strong understanding of AI/ML models , orchestration … workflows, and Power Platform concepts including Power Automate, Power Apps, and Dataverse Experience tunning LLMs on Microsoft Azure ML Studio/Azure AI Foundry and applying Generative AI and prompt engineering techniques. Strong understanding of AI governance, observability, and compliance frameworks. Proven ability to deliver secure, scalable, and responsible AI solutions. Excellent communication and presentation More ❯

development of clean, efficient, and scalable data solutions across cloud-native platforms, supporting the delivery of high-quality data products and services. Key Responsibilities Develop solutions across Snowflake, Azure, and dbt platforms Support migration and optimisation of applications using Azure cloud-native services Write clean, testable, and maintainable code following industry standards Implement and maintain CI …/CD pipelines, test automation, and observability practices using Azure DevOps or JIRA Apply AI-powered development tools (eg, GitHub Copilot) and automation techniques to improve productivity Enhance tools, technologies, and ways of working to foster innovation and excellence Participate in sprint planning, code reviews, and retrospectives within an Agile team Coach and mentor peers and junior team … the following: Experience as a Data/Integration Engineer or similar role Understanding of data warehousing, ELT/ETL processes, and data modelling Knowledge of Cloud-native development (Azure, Snowflake, dbt) Agile methodologies and collaboration to drive Innovation and continuous improvement Excellent communication skills and ability to work with both technical and non-technical stakeholders We are proud More ❯

This is an exciting new opportunity for an experienced Azure Dev Ops Engineer to join an innovative MedTech company thats transforming the lives of people living with chronic illness helping them regain confidence, reassurance, and a sense of normality. As part of their next growth phase, the company is expanding its engineering team and is looking for a … team Ensuring that products are secure, scalable, and high-quality Tech Stack & Experience Designing deployments for web platforms using microservices Strong with Docker and Kubernetes Solid experience in Azure Cloud and Azure DevOps CI/CD Exposure to AWS and on-prem/private cloud environments Ideally some multi-cloud and Infrastructure as Code (IaC) experience More ❯

This is an exciting new opportunity for an experienced Azure Dev Ops Engineer to join an innovative MedTech company that’s transforming the lives of people living with chronic illness — helping them regain confidence, reassurance, and a sense of normality. As part of their next growth phase, the company is expanding its engineering team and is looking for … team • Ensuring that products are secure, scalable, and high-quality Tech Stack & Experience • Designing deployments for web platforms using microservices • Strong with Docker and Kubernetes • Solid experience in Azure Cloud and Azure DevOps CI/CD • Exposure to AWS and on-prem/private cloud environments • Ideally some multi-cloud and Infrastructure as Code (IaC) experience More ❯

architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and … models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and More ❯

architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and … models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and More ❯

architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and … models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and More ❯

architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and … models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and More ❯

architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and … models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and More ❯

on system improvements, and ensure that the company’s IT foundation remains robust, secure, and ready for the future. Every day will bring variety and challenge from optimising Azure environments and automating key processes to solving complex network issues that keep the business running smoothly. You’ll work closely with colleagues and partners to deliver infrastructure that’s … enhance business performance. ** Take a lead role in managing and improving the network ensuring connectivity, performance, and resilience across multiple sites. ** Administer and optimise Microsoft technologies including Azure, O365, Intune, Entra, and Active Directory. ** Manage virtualisation platforms such as VMware, Hyper V, , ensuring stability and efficiency. ** Develop and implement automation solutions using PowerShell and other modern management … routing, switching, and VPNs to firewalls and connectivity solutions. ** Experience managing networked communication or telephony systems, including VoIP, unified communications, and related infrastructure. ** Skilled in Microsoft 365, Azure, Intune, Entra, and Active Directory administration. ** Confident with cloud migrations, automation, and virtualisation technologies. ** Excellent problem solving ability and a proactive, improvement focused mindset. ** Strong communicator with the ability More ❯