1 to 25 of 26 Permanent Microsoft Certified Professional Jobs in Scotland

Helpdesk support team, have responsibility for ICT budgets for the rolling equipment replacement program, and capital projects. You will provide, maintain and manage the Microsoft Teams Telephony, CCTV system, building access system and LAN/WAN networks and firewalls. You will also contribute to the ICT strategy by providing … Working & flexi time when working in the office Qualifications/Experience Required Degree in Computer Subject or 5 years experience in senior technical role. Microsoft Certified Professional or 5 years experience of Microsoft Azure Certified networking professional or 5 years experience of managing WLAN ...

Large Language Models (LLMs), embeddings, prompt engineering - Retrieval-Augmented Generation (RAG), Knowledge bases and Multimodal embeddingsAgentic AI workflows and tool calling - Model Context Protocol (MCP) concepts and context managementKnowledge on foundational models and inference profiles, regional hosting and restrictions of various models and be able to identify the right model ...

practices.Working knowledge of LLM application patterns - prompt design, retrieval-augmented generation (RAG), embeddings and vector search, structured output, and tool/function calling.Familiarity with MCP (Model Context Protocol), Agent to Agent(A2A) Agent Skills and architectures that connect models to tools/data through standardized interfaces.Overall knowledge of the Software ...

/function calling. Experience with agentic AI frameworks - multi-agent orchestration, planning and tool use, and integration patterns such as the Model Context Protocol (MCP); familiarity with Google ADK, Arize Phoenix SDK, Claude skills is a must. Overall knowledge of the Software Development Life Cycle, and a solid understanding ...

values modern AI engineering workflows and tooling such as GitHub Copilot and Claude Code to accelerate delivery while maintaining quality and security. Familiarity with MCP (Model Context Protocol), Agent Skills and designing agentic systems that integrate models with tools and enterprise data via structured interfaces is a plus. Job Responsibilities … related field. Hands-on experience building applied AI/ML or GenAI solutions (e.g., RAG, classification, extraction, ranking, summarization, copilots). Familiarity with MCP (Model Context Protocol), Agent Skills and architectures that connect models to tools/data through standardized interfaces. Familiarity with LLM application patterns: embeddings/vector search ...

values modern AI engineering workflows and tooling such as GitHub Copilot and Claude Code to accelerate delivery while maintaining quality and security. Familiarity with MCP (Model Context Protocol), Agent Skills and designing agentic systems that integrate models with tools and enterprise data via structured interfaces is a plus.Job ResponsibilitiesDesign, develop … Machine Learning, or related field.Hands-on experience building applied AI/ML or GenAI solutions (e.g., RAG, classification, extraction, ranking, summarization, copilots).Familiarity with MCP (Model Context Protocol), Agent Skills and architectures that connect models to tools/data through standardized interfaces.Familiarity with LLM application patterns: embeddings/vector search ...

values modern AI engineering workflows and tooling such as GitHub Copilot and Claude Code to accelerate delivery while maintaining quality and security. Familiarity with MCP (Model Context Protocol), Agent Skills and designing agentic systems that integrate models with tools and enterprise data via structured interfaces is a plus. Job Responsibilities … related field. Hands-on experience building applied AI/ML or GenAI solutions (e.g., RAG, classification, extraction, ranking, summarization, copilots). Familiarity with MCP (Model Context Protocol), Agent Skills and architectures that connect models to tools/data through standardized interfaces. Familiarity with LLM application patterns: embeddings/vector search ...

thinking or external contributions in AI engineering (talks, writing, open source) Experience with multi‐agent coordination: task decomposition, handoff, shared state Practical experience with MCP (Model Context Protocol) or equivalent agent integration standards What We Are Not Looking For Pure ML researchers without production engineering experience. We build products ...

Published thinking or external contributions in AI engineering (talks, writing, open source) Experience designing platform layers that other teams build on Practical experience with MCP (Model Context Protocol) or equivalent agent integration standards What We Are Not Looking For Pure ML research without production engineering experience. We need builders Narrow ...

papers, publications, and presentations. Qualifications Required experience PhD in a quantitative field (machine learning, AI, statistics, computer science, physics, engineering) with 8+ years of professional experience OR MS degree in a quantitative field plus 11+ years of professional experience in machine learning, artificial intelligence, or other aspects … Agents SDK), agent platforms (e.g. Amazon Bedrock, Microsoft Agent Framework, Claude Agent SDK), or comparable tools, including standards such as Model Context Protocol (MCP) for connecting agents to tools and data. Experience with retrieval systems for agents: retrieval-augmented generation, embedding models, vector databases, and long-term memory. Experience ...

papers, publications, and presentations. Qualifications Required experience PhD in a quantitative field (machine learning, AI, statistics, computer science, physics, engineering) with 8+ years of professional experience OR MS degree in a quantitative field plus 11+ years of professional experience in machine learning, artificial intelligence, or other aspects … Agents SDK), agent platforms (e.g. Amazon Bedrock, Microsoft Agent Framework, Claude Agent SDK), or comparable tools, including standards such as Model Context Protocol (MCP) for connecting agents to tools and data. Experience with retrieval systems for agents: retrieval-augmented generation, embedding models, vector databases, and long-term memory. Experience ...

papers, publications, and presentations. Qualifications Required experience PhD in a quantitative field (machine learning, AI, statistics, computer science, physics, engineering) with 8+ years of professional experience OR MS degree in a quantitative field plus 11+ years of professional experience in machine learning, artificial intelligence, or other aspects … Agents SDK), agent platforms (e.g. Amazon Bedrock, Microsoft Agent Framework, Claude Agent SDK), or comparable tools, including standards such as Model Context Protocol (MCP) for connecting agents to tools and data. Experience with retrieval systems for agents: retrieval-augmented generation, embedding models, vector databases, and long-term memory. Experience ...

e.g. Claude on Bedrock, Gemini, Azure OpenAI), selected per use case for quality, latency and cost. Interfaces: Tools and Model Context Protocol (MCP) for integration; standards-based APIs and secure auth for client systems. What you'll do Conceptualize fast: embed with stakeholders, frame a business process as an agentic … cost-to-serve. Engineer the agent core: apply prompt engineering, context engineering, prompt caching, RAG/context-graph retrieval, memory, tool/function calling, MCP integration and multi-agent orchestration. Integrate to standards: connect agents into client ecosystems through proven integration patterns, standards-based APIs and secure authentication. Make reusability ...

assisted coding tools and AI-powered development ecosystems. Contribute to the design and development of AI agents and Model Context Protocol (MCP) integrations using frameworks such as Google ADK and Anthropic SDKs. Required Qualifications, Capabilities, and Skills: Formal training or certification on software engineering concepts. Hands‐on experience with … with automation and workflow orchestration for operational efficiency. Published contributions to open‐source or industry‐recognized projects. Hands‐on experience building AI agents and MCP servers/integrations at scale using frameworks such as Google ADK, Anthropic SDKs, and agent orchestration tooling. Experience enhancing AI‐powered coding ecosystems with enterprise ...

assisted coding tools and AI-powered development ecosystems. Contribute to the design and development of AI agents and Model Context Protocol (MCP) integrations using frameworks such as Google ADK and Anthropic SDKs. Required Qualifications, Capabilities, and Skills: Formal training or certification on software engineering concepts. Hands-on experience with … with automation and workflow orchestration for operational efficiency. Published contributions to open-source or industry-recognized projects. Hands‐on experience building AI agents and MCP servers/integrations at scale using frameworks such as Google ADK, Anthropic SDKs, and agent orchestration tooling. Experience enhancing AI-powered coding ecosystems with enterprise ...

community.Standardize use of AI-assisted coding tools and AI-powered development ecosystems.Contribute to the design and development of AI agents and Model Context Protocol (MCP) integrations using frameworks such as Google ADK and Anthropic SDKs.Required Qualifications, Capabilities, and Skills:Formal training or certification on software engineering concepts.Hands-on experience with … Data platforms.Experience with automation and workflow orchestration for operational efficiency.Published contributions to open-source or industry-recognized projects.Hands-on experience building AI agents and MCP servers/integrations at scale using frameworks such as Google ADK, Anthropic SDKs, and agent orchestration tooling.Experience enhancing AI-powered coding ecosystems with enterprise-specific ...

systems on Amazon Bedrock, including multi-agent orchestration, memory management, and tool integration using Amazon Bedrock AgentCore and Strands Agents Build, integrate, and maintain MCP (Model Context Protocol) servers that expose capabilities to AI agents across client platforms Architect and implement RAG pipelines using Amazon Bedrock Knowledge Bases, managing vector … environments, not limited to basic API calls Agentic AI and multi-agent systems — direct experience designing and deploying agent pipelines with real orchestration complexity MCP (Model Context Protocol) — built or integrated MCP servers in a production or near-production context Strands Agents — familiarity with the framework and its application ...

operations: Experience operating model serving, LLM inference or MLOps pipelines in production is a strong plus. Familiarity with model APIs, vector databases, MCP or orchestration frameworks helps. Networking and security: VPC design, service mesh and zero‐trust patterns. Domain & Sector Experience Regulated industries: Experience running platforms under strict compliance … Contract and consulting delivery: A track record of taking on operational ownership of an unfamiliar estate quickly, and being trusted with it. Useful credentials Certified Kubernetes Administrator (CKA). AWS Solutions Architect Professional or DevOps Engineer Professional. FinOps Certified Practitioner (FOCP), which is a strong differentiator ...

expertise enables our customers to navigate the rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services.We’re an award-winning employer … integrate REST APIs using clean and maintainable architecture patterns.Design and optimise PostgreSQL databases, queries and migrations.Integrate AI capabilities into applications using agent frameworks and MCP concepts.Write high-quality code and carry out peer code reviews.Create and maintain unit and integration tests.Manage code using Git and CI/CD pipelines.Support ...

expertise enables our customers to navigate the rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services.We’re an award-winning employer … services. Work with business and technical stakeholders to turn requirements into technical solutions. Exposure to integrating AI capabilities into applications using agent frameworks and MCP concepts. Write high-quality code and carry out peer code reviews. Manage code using Git and CI/CD pipelines. Support and mentor team members ...

opportunities to grow in a way that works for you, while making a visible impact for clients and for Deloitte.Connect to your skills and professional experience We’re looking for people who are motivated by building innovative AI solutions with modern technology and who care just as much about … Claude Code for AI-assisted coding workflows. Integrating and working with LLM APIs (Anthropic Claude, OpenAI GPT, Google Gemini). Experience building custom MCP Servers to expose our internal APIs, databases, and business logic to AI models in a standardized, secure way Experience with databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB ...

opportunities to grow in a way that works for you, while making a visible impact for clients and for Deloitte.Connect to your skills and professional experience We’re looking for people who are motivated by building innovative AI solutions with modern technology and who care just as much about … Claude Code for AI-assisted coding workflows. Integrating and working with LLM APIs (Anthropic Claude, OpenAI GPT, Google Gemini). Experience building custom MCP Servers to expose our internal APIs, databases, and business logic to AI models in a standardized, secure way Experience with databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB ...

Cloud Load Balancing.You'll also have a genuine interest in emerging AI technologies, with exposure to LLMs and integrations using Model-Context Protocol (MCP) and Agent-2-Agent, ideally including the Gemini Enterprise Agent Platform. A creative, problem-solving mindset and experience of working in an Agile team will help … broader GCP toolkitWorking knowledge of Kubernetes, particularly Google Kubernetes EngineFamiliarity with Cloud Armor and Model Armor for platform and AI protectionUnderstanding of MCP and A2A concepts and how they integrate with LLM servicesRelevant Google Cloud Platform professional qualificationsThe ability to apply new AI technologies to real engineering challengesHours35Job Posting ...

Cloud Load Balancing. You'll also have a genuine interest in emerging AI technologies, with exposure to LLMs and integrations using Model-Context Protocol (MCP) and Agent-2-Agent, ideally including the Gemini Enterprise Agent Platform. A creative, problem-solving mindset and experience of working in an Agile team will … toolkit Working knowledge of Kubernetes, particularly Google Kubernetes Engine Familiarity with Cloud Armor and Model Armor for platform and AI protection Understanding of MCP and A2A concepts and how they integrate with LLM services Relevant Google Cloud Platform professional qualifications The ability to apply new AI technologies to real ...

dependency currency, and release quality on code that external developers consume directly Maintains and evolves our flagship public repositories, including the agent skills and MCP server that let external developers drive JPMorgan Payments capabilities from their own AI tooling Builds the paved road for external SDK and library publication under … PyPI, CocoaPods/SPM) and operating the governance and IP review that sits in front of it Familiarity with agent tooling standards such as MCP, and with packaging capability for consumption by AI coding assistants Experience with payments APIs and merchant or developer integration journeys Track record of external technical ...