10 of 10 Azure AI Jobs in the South East

AI Engineer/Product Owner/Microsoft Automation Specialist - CoPilot, Agentic AI, Azure AI 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, Azure AI Foundry and Agentic AI. The main duties will include: Maintain and prioritise the product backlog Serve as the firm’s technical lead for Microsoft CoPilot, Azure AI Foundry and Agentic AI, guiding 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 Azure AI tools, from deployment to optimisation. What You’ll Do Take technical ownership of Microsoft Copilot, Copilot Studio, and Azure AI 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 ❯

Role: Azure AI 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 ❯

AI/LLM DevOps Engineer Up to £95,000 + 5% Bonus Remote (London-Based) Are you a cloud-savvy DevOps Engineer with a passion for AI, LLMs, and modern infrastructure? I'm hiring for a brilliant opportunity with a global professional services firm that's pushing the boundaries of legal tech-and they're looking … for a sharp mind to help lead the charge. This role sits at the heart of an enterprise AI/LLM transformation, supporting the deployment and optimisation of cutting-edge AI applications within a secure, scalable cloud environment. Why This Role? This is a rare chance to combine your DevOps expertise with innovative LLM/GenAI … are actively reshaping how a highly regulated industry delivers value. You'll work cross-functionally with product owners, engineers, infrastructure, and security teams to build robust, production-grade AI solutions. Your Responsibilities Lead deployment of AI/LLM cloud solutions using Infrastructure-as-Code (IaC) on Azure. Automate and optimise CI/CD pipelines, build systems More ❯

We are seeking an AI Engineer to join our team. The ideal candidate will have strong hands-on technical experience in software engineering, and a deep knowledge of Generative AI/Machine Learning. You will be responsible for building solutions and Apps around LLMs, and kickstarting our build efforts in Agentic AI. Responsibilities AI and GenAI App Development - Design, develop, and deploy AI and GenAI applications in enterprise environments, following established SDLC standards. Build AI Agents - Create task-based, domain-specific, and orchestrator agents using modern multi-agent frameworks. Agentic AI Systems - Design and build core components of agentic AI systems, including memory, guardrails … orchestration, trace management, and tool marketplaces. System Integration - Integrate AI and GenAI applications into existing systems and workflows, ensuring smooth and efficient operation. Infrastructure - Collaborate with data engineering teams to build scalable data pipelines and infrastructure supporting AI apps and agents. Evals - Monitor and evaluate the performance of AI apps, agents, and the overall More ❯

and a range of other benefits to support your family, finances and wellbeing. Working Pattern: Permanent Full Time Flexible working options available The role As a Senior AI DevOps Engineer in the Business Energy CCAAS and AI platform team at SSE, you will play a key role in developing advanced AI applications, utilising technologies … techniques such as MCP and RAG. Your responsibilities will also include working on internal tooling and APIs while also managing the secure, cost-effective, and scalable deployment of AI solutions in Azure. You will: Deliver product backlog items across end-to-end products as part of an Agile team in a DevOps environment. You will demonstrate the ability … streamline development and operational processes. Work closely with the Product Owner, Delivery Manager, and stakeholders to analyse requirements and deliver comprehensive business solutions. You have: Strong understanding of Azure AI services and Azure cloud services in general. In particular, Azure OpenAI, Azure Machine Learning Studio, Function Apps, and Storage Accounts. More ❯

and a range of other benefits to support your family, finances and wellbeing. Working Pattern: Permanent Full Time Flexible working options available The role As a Senior AI DevOps Engineer in the Business Energy CCAAS and AI platform team at SSE, you will play a key role in developing advanced AI applications, utilising technologies … techniques such as MCP and RAG. Your responsibilities will also include working on internal tooling and APIs while also managing the secure, cost-effective, and scalable deployment of AI solutions in Azure. You will: Deliver product backlog items across end-to-end products as part of an Agile team in a DevOps environment. You will demonstrate the ability … streamline development and operational processes. Work closely with the Product Owner, Delivery Manager, and stakeholders to analyse requirements and deliver comprehensive business solutions. You have: Strong understanding of Azure AI services and Azure cloud services in general. In particular, Azure OpenAI, Azure Machine Learning Studio, Function Apps, and Storage Accounts. More ❯

our client works.You’ll build smart, secure, scalable automations that slash manual effort, boost data accuracy, and empower stakeholders with real-time insight. If you live and breathe Azure Logic Apps, Power Automate, and RESTful integrations, this is your arena. What You’ll Do: Build robust workflows in Power Automate and Logic Apps Integrate internal systems with NetSuite … retries and throttling) Champion DevOps best practices (CI/CD, environment strategies) Spot opportunities and transform them into working solutions Stay ahead with the latest from Power Platform, Azure AI, and more You Bring: 5+ years of cloud-based automation & integration experience Deep skills in Azure SQL, Power Automate, Azure Logic Apps … elegant tech solutions Crystal-clear communicator with top-tier documentation skills Bonus Points For: NetSuite Admin cert ERP/CRM domain experience Power BI skills for KPI visibility AI/ML familiarity (AI Builder, Azure OpenAI) Experience with other iPaaS tools like MuleSoft or Dell Boomi Why Join our client? Work at the cutting More ❯

Looking for an Azure Data Enigneer to work on a collaborative team wokring on Gen AI/Agentic AI systems! Location: London (Hybrid – 2 days/month onsite) Contract: 12 month contract IR35: Inside IR35 Start Date: ASAP Key Skills Required Azure Data Factory Azure Functions SQL Python Desirables- Experience … Copilot or Copilot Studio Experience designing, developing, and deploying AI solutions Familiarity with PySpark, PyTorch, or other ML frameworks Exposure to M365, D365, and low-code/no-code Azure AI tools If interetsed please send a copy of your most recent CV and I will be in touch. Please note this role is More ❯

a Month in Sussex Salary: £80,000 - £90,000 We are seeking a Core Platform Technical Manager to lead the design, implementation, and optimisation of enterprise platforms across Azure cloud, data platforms, and business automation. You will oversee end-to-end cloud management, working with Azure providers and internal engineering teams, and drive RPA integration. You … capable of complex requirements analysis capture and validation against and with business and platform requirements. Additionally, you'll demonstrate experience of Lead design and engineering of scalable, secure Azure cloud, data, and automation platforms. Oversee Azure estate and cloud service delivery with third-party providers and internal teams. Drive automation and RPA strategy using Azure … leadership. Lead platform modernisation, migration, and transformation initiatives within budget. Provide technical leadership, incident management, and 24/7 on-call support as required Requirements desirable: Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure Security Engineer Associate Microsoft Certified: Azure DevOps Engineer Expert Microsoft Certified: Azure AI Engineer Associate More ❯