13 of 13 Permanent Microsoft Certified Professional Jobs in London

engineering, data science, machine learning, or AI solution development. Minimum 2+ years of hands-on experience designing and delivering custom Generative AI solutions on Microsoft Azure (preferred) or AWS. Strong experience building and operating production-grade Generative AI applications, including: Retrieval-Augmented Generation (RAG) AI Agents and Agentic Workflows … Model Evaluation and Observability Frameworks LLM Fine-tuning and Adaptation Techniques Hands-on experience with Azure AI Foundry, Azure OpenAI Service, Model Context Protocol (MCP), and modern AI orchestration frameworks. Strong programming skills in Python, with experience developing scalable APIs, AI services, and automation solutions. Experience implementing vector search solutions ...

Responsibilities: Serve as a developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment (ROI). Architect and code the "connective tissue" between our clients AI products and customer's live infrastructure ...

Understanding of data modelling concepts, metadata management, or semantic layers. Exposure to conversational AI, LLM-powered tools, or agent-based workflows. Experience with MCP connections. Familiarity with BI platforms (e.g., Qlik, Power BI, Tableau). Familiarity with version control (Git). Familiarity with SQL – helpful for reasoning about data models ...

broader AI/ML technologies. How to integrate Claude securely with enterprise data, APIs, repositories and delivery toolchains. How to develop and operate MCP-enabled solutions, evaluation suites and responsible AI controls. How to convert repeatable delivery patterns into reusable assets and accelerators for client teams. How to help clients … inception through production. Develop with Anthropic SDKs and APIs, applying tool use, structured outputs, streaming, prompt caching, context management and robust error handling. Build MCP clients and servers that connect agents securely to repositories, enterprise data sources, development tools and business systems. Implement RAG and context-engineering solutions using structured ...

tooling used by engineers across Wise, including security, access to models and tools, telemetry and evaluation. Building an engineering knowledge base exposed through a MCP server, so engineers and AI agents can find trusted internal context when they need it. Leading AI enablement across engineering through hands-on workshops, practical ...

isolation Build event-driven and background processing, plus real-time features over WebSockets Implement SSO, OTP and session/JWT auth, and integrate with Microsoft 365, CRMs and document stores Work with the AI/ML team to ship LLM-powered features, including UX that investment professionals can trust … Code or similar) and a considered view on where they help Nice to have Next.js/Node.js, LLM product work (streaming, LangChain/LangGraph, MCP), Celery, Redis, OpenSearch, Kubernetes or Terraform, and financial-services or regulated-environment experience. What's on offer Close work with a leadership team with 20+ ...

DevOps, RBAC and cost controls. Solid software engineering fundamentals: Clean Code (SOLID, DRY), DDD, modular architecture, TDD and code quality tooling. Desirable: RAG pipelines, MCP, LLM integration (OpenAI, Gemini, Hugging Face models), LangSmith, TruLens, and agentic frameworks such as LangChain, CrewAI, Autogen, OpenAI Agents and Google ADK. … Developer, React Developer, Next.js Developer, TypeScript Developer, Azure OpenAI, Vertex AI, LangChain, LangGraph, CrewAI, Autogen, OpenAI Agents SDK, Google ADK, RAG, retrieval augmented generation, MCP, LangSmith, TruLens, prompt engineering, Docker, Kubernetes, AKS, GCP, Azure DevOps, GitHub Actions, PostgreSQL, BigQuery, TDD, DDD. Deerfoot Recruitment Solutions Ltd is a leading independent tech ...

focused on designing and delivering production-grade AI applications, intelligent agents and automated workflows within a large, governed enterprise environment. You'll work across Microsoft Copilot, Python, Power Platform and Azure, combining modern software engineering with AI and workflow automation to build solutions that move beyond proof-of-concept … automated testing experience Experience with Docker, Kubernetes or Azure Container Apps An understanding of production monitoring, reliability and observability Experience with MCP or similar integration patterns, AI governance, prompt evaluation/versioning, event-driven systems or highly regulated environments would be particularly valuable. Why join? This is an opportunity ...

summarization, guided workflows, intelligent search or decision support. Understanding of making data platforms accessible to AI agents through APIs, metadata, data contracts or MCP-compatible interfaces. Experience with AI adoption in SDLC streams. Work in a Way That Works for You We promote a healthy work/life balance across ...

delivertechnology and transformationsolutions that drive customer success. Ourdeepexpertiseenables our customers to navigate the rapidlyevolving technology landscape. We foster strong partnerships withglobal technology leadersincluding Microsoft, AWS, Oracle, Red Hat,OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. Werean award-winning employer reflecting … with Azure observability tooling including Application Insights, Azure Monitor and Log Analytics . Knowledge of emerging AI integration patterns such as Model Context Protocol (MCP) or AI Gateway capabilities. Microsoft certifications such as: Azure Solutions Architect Expert (AZ-305) Azure Developer Associate (AZ-204) Key technologies Azure APIM | Azure ...

deploy single and multi-agent systems, RAG pipelines and AI-powered workflows. Work with leading AI platforms and frameworks, including OpenAI, Anthropic, Google, Microsoft and LangGraph. Integrate AI solutions with enterprise APIs, databases, cloud services and business systems. Implement evaluations, testing, monitoring and safeguards to ensure production-ready solutions. … enterprise integrations. Strong debugging, testing and problem-solving skills. Comfortable working directly with customers and balancing rapid prototyping with production-quality engineering. Experience with MCP, agent orchestration frameworks, LLM evaluation and production AI deployments would be advantageous. ...

contributing to compliance with applicable regulatory frameworks. Communicate complex architectural decisions clearly to senior leadership, engineering teams, and non-technical stakeholders. Requirements: Essential - Strong professional software engineering expertise, with experience in a dedicated AI/ML architecture, principal engineer, or distinguished engineer role. Proven track record delivering production … equivalent compiled language for enterprise microservice integration. Hands-on experience with vector databases and semantic search pipeline design. Experience with Model Context Protocol (MCP). Experience with large-scale data platforms such as Databricks and search engines such as Elasticsearch, in an analytical or AI feature engineering context. Demonstrated ability ...

build: comfortable with scripting and light application development (Python, JavaScript/Node, APIs, SDKs), and fluent with AI development tooling (Claude, Cursor, agent frameworks, MCP). A CS degree is not required Data-fluent: comfortable in Salesforce, Looker (or similar BI tooling) and a warehouse (Snowflake or similar), able … POCs and agent-driven connectivity WHAT YOU'LL DO Build and maintain the shared systems the field deploys into: demo automation, agent and MCP skill packages, workflow plugins, and the discoverable asset repository — built once, centrally, and reused Turn field signal into a build backlog: define what we need ...