7 of 7 DemandTrendPermanent Azure AI Jobs in Central London

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 firms technical lead for Microsoft CoPilot, Azure AI Foundry and Agentic AI 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 ❯

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a … highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. … How it works - your journey to AI success Step 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper More ❯

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a … highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. … How it works - your journey to AI success Step 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper More ❯

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a … highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. … How it works - your journey to AI success Step 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper More ❯

and high-performance backend services that drive key components of the audit technology landscape. You will develop integrations with internal and external APIs, build cloud-native components on Azure - while also contributing to innovative AI and data-driven solutions, leveraging technologies such as Databricks, data pipelines, and large language models (LLMs) to power next-generation applications. … systems. Security Compliance: Implement robust authentication and authorization mechanisms and enforce security best practices to safeguard API communication and data integrity. Cloud Engineering: Design and implement components using Azure services such as Function Apps, API Management, Application Gateway, Azure AI Foundry, Databricks and Service Bus. DevOps & CI/CD: Collaborate on build and deployment … automation using Git, Azure DevOps, and CI/CD pipelines. Workflow Automation: Collaborate with stakeholders to build and maintain Jira Service Management (JSM) automations and custom workflows for internal operations. Collaboration: Work closely with product owners, architects, and QA teams to ensure solutions align with business objectives and meet quality standards. What will you need to do it More ❯

and high-performance backend services that drive key components of the audit technology landscape. You will develop integrations with internal and external APIs, build cloud-native components on Azure - while also contributing to innovative AI and data-driven solutions, leveraging technologies such as Databricks, data pipelines, and large language models (LLMs) to power next-generation applications. … systems. Security Compliance: Implement robust authentication and authorization mechanisms and enforce security best practices to safeguard API communication and data integrity. Cloud Engineering: Design and implement components using Azure services such as Function Apps, API Management, Application Gateway, Azure AI Foundry, Databricks and Service Bus. DevOps & CI/CD: Collaborate on build and deployment … automation using Git, Azure DevOps, and CI/CD pipelines. Workflow Automation: Collaborate with stakeholders to build and maintain Jira Service Management (JSM) automations and custom workflows for internal operations. Collaboration: Work closely with product owners, architects, and QA teams to ensure solutions align with business objectives and meet quality standards. What will you need to do it More ❯