AI Engineer/Product Owner/Microsoft Automation Specialist - CoPilot, Agentic AI, AzureAI Foundry, SharePoint, M365, AI Prompts/Prompt Chains, AI Workflows, Product Ownership, Roadmap development. Permanent, London/Hybrid. £75k - £90k + Bonus + Benefits Global Law firm seeks to leverage Artificial intelligence to the … commercial benefit of the firms through a mixed use of established and emerging AI technologies largely focused around the Microsoft stack. NOTE: This role is based within a Law Firm with HQ in London, a client of the Recruitment division at Comtecs. Working in a lead capacity you will undertake duties of a product owner to some degree … whilst remaining hands on in the configuration, development, deployment and management of artificial intelligence technologies including Microsoft CoPilot, AzureAI Foundry and Agentic AI. The main duties will include: Maintain and prioritise the product backlog Serve as the firms technical lead for Microsoft CoPilot, AzureAI Foundry and Agentic AIMore ❯
My Financial Services client is seeking to recruit a Microsoft Power Platform/Agentic AI Engineer on an initial 6 month contract based in London. It is hybrid and will require 3x days onsite per week. You will lead the development of intelligent, enterprise-grade AI solutions using Microsoft's low-code ecosystem. This role focuses … on building Copilot Studio agents, Power Automate workflows, and Power Apps that integrate with enterprise systems and leverage Azure OpenAI, Microsoft Graph, and AzureAI services. You will design and orchestrate agentic workflows that automate high-value tasks across banking functions such as compliance, risk, and document processing-while ensuring alignment with cybersecurity, data … governance, and regulatory frameworks (e.g., EU AI Act, FCA guidance). Accountabilities & Responsibilities Power Platform & Copilot Studio Development Design and build conversational agents using Microsoft Copilot Studio. Develop Power Automate flows triggered by AI agents or business events. Create Power Apps frontends integrated with GenAI services and enterprise data. Build and manage custom connectors to internal More ❯
My Financial Services client is seeking to recruit a AI Security & Compliance Engineer/Specialist on an initial 6 month contract based in London. It is hybrid and will require 3x days onsite per week. You will ensure the secure, ethical, and compliant development of AI solutions across the organisation. This role is central to embedding … security, privacy, and regulatory controls into the design and engineering of AI products-including Microsoft Copilot, custom AI agents, and broader generative AI applications. You will work closely with engineering, architecture, legal, security and risk teams to define and implement controls across the AI lifecycle, ensuring alignment with internal policies and external … regulations such as the EU AI Act, FCA guidance, and GDPR. A key part of this role involves leveraging Microsoft Purview to enforce data governance, classification, and compliance across AI systems. You will also collaborate with the AI Governance Lead to assess and support the onboarding of new AI systems into the More ❯
Role: AzureAI DevOps Engineer Salary: £50,000 Location: London or remote Benefits: Healthcare and great holidays The Role As a Machine Learning Operations Engineer, you will be instrumental in designing, deploying, and maintaining machine learning systems that drive data-driven decision-making in the pensions and financial services sector. Using Azure's cloud … ecosystem, you will build scalable ML workflows that support actuarial modelling, risk prediction, and client insight generation. Key Responsibilities 1. Azure-Based Machine Learning Development * Collaborate with domain experts and analysts to design and implement machine learning models that predict key outcomes such as life expectancy, investment return scenarios, and financial risks. * Deploy and manage ML solutions using … Azure Machine Learning (Azure ML), covering training, testing, and deployment to production. * Select appropriate ML techniques (e.g., classification, regression, ensemble methods, survival models) to improve predictions and automate core processes. 2. MLOps & Model Lifecycle Management * Own the end-to-end ML lifecycle using Azure ML pipelines, Data Factory (ADF), and ML tracking tools. * Implement More ❯
Application Engineer (AI & Microsoft 365) £90,000 London Permanent Legal/Technology Are you excited by the power of AI to transform how people work? Shape the Future of AI in Legal Technology You ll join a cross-functional technology team where your work will directly support professionals at all levels of the business … helping to unlock new ways of working smarter and faster. Take technical ownership of Microsoft Copilot, Copilot Studio, and AzureAI tools, from deployment to optimisation. What You ll Do Take technical ownership of Microsoft Copilot, Copilot Studio, and AzureAI tools, from deployment to optimisation. Design and deliver AI-driven solutions that automate workflows, accelerate decision-making, and surface insights. Build and maintain a prompt library and reusable AI components to support a wide range of use cases. Act as a go-to expert for AI applications while supporting SharePoint, OneDrive, and other Microsoft 365 tools. What We re Looking For Hands-on More ❯
