10 of 10 Remote/Hybrid Azure Machine Learning Jobs in the UK excluding London

title: Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1 billion. Most of Markerstudy's business ...

stakeholders, you will lead the development and implementation of advanced AI solutions, leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Machine Learning, and Azure AI services. You will provide technical leadership, establish best practices, and help build the organisation … standards, and guide the organisation’s AI roadmap while remaining hands-on with implementation. Key Responsibilities Design, develop, and deploy advanced AI and Machine Learning solutions to solve complex business challenges. Lead the architecture and implementation of production-grade AI applications using LLMs, RAG pipelines ...

driving modernisation, scalability, security, and performance.You’ll play a key role in architecting advanced analytics platforms using AWS SageMaker, Azure Machine Learning, and SAS 9.4/Viya, including leading SAS Viya migration and transformation initiatives. Key Responsibilities Lead end-to-end solution architecture … hybrid environments. Design scalable, secure, and resilient analytics and AI platforms. Drive SAS 9.4 to SAS Viya migration and platform modernisation. Architect machine learning solutions using AWS SageMaker and Azure Machine Learning. Define data platform architecture, analytics pipelines, and enterprise integration ...

record of actually implementing/delivering AI Automations . The role focuses on leveraging the Microsoft technology stack, including Copilot Enterprise, Power Apps, Azure services, Python, and OpenAI technologies, to streamline workflows, enhance operational efficiency, and support data-driven decision making. The successful candidate will work closely … systems. Strong problem-solving and analytical skills. Desirable Experience Experience with Azure AI Studio, Azure Machine Learning, or Cognitive Services. Familiarity with DevOps practices and CI/CD pipelines within the Microsoft ecosystem. Experience integrating AI solutions with Microsoft ...

track record of actually implementing/delivering AI automations. The role focuses on leveraging the Microsoft technology stack, including Copilot Enterprise, Power Apps, Azure services, Python, and OpenAI technologies, to streamline workflows, enhance operational efficiency, and support data-driven decision-making. The successful AI Implementation Engineer will … systems. Strong problem-solving and analytical skills. Desirable Experience Experience with Azure AI Studio, Azure Machine Learning, or Cognitive Services. Familiarity with DevOps practices and CI/CD pipelines within the Microsoft ecosystem. Experience integrating AI solutions with Microsoft ...

About the role We're looking for a forward-thinking DevOps Engineer to play a key role in evolving and enhancing our Azure-based data and application platforms. Joining … collaborative, innovative data platform team, you’ll help shape how we build, deploy, and optimise modern cloud-based services that support analytics, machine learning, and application delivery across the organisation. This is a fantastic opportunity for someone who loves automation, thrives in a fast-paced environment ...

business adoption. Working closely with IT, operational, commercial, and leadership teams, you will drive practical AI initiatives using Azure, LLMs, machine learning, and AI agents ensuring solutions are secure, scalable, integrated, and delivering measurable business impact. The organisation is already investing heavily … concepts including VNets, Entra ID, API Gateways, Private Endpoints, and secure integrations Experience working with at least one major enterprise AI cloud platform (Azure preferred) Strong SQL skills and experience working with both structured and unstructured data Experience building AI agents, workflow automation, and tool/ ...

closely alongside operational and commercial teams, you will build and implement practical AI use cases using Azure, LLMs, machine learning, and AI agents - ensuring solutions are secure, integrated, scalable, and actively used across the business. The organisation is already exploring a broad range … live deployment and business adoption. Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities Design and build high-performing AI models ...

development. You will be part of a small, agile team dedicated to building innovative solutions that integrate large language models, agentic systems, and Azure AI services into real-world applications. This role is perfect for someone who thrives on understanding how things work, is not afraid … role: Key Delivery Responsibilities: Design, develop, and deploy AI-integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Build and refine LLM-powered features, agentic ...

environment. To thrive in this role, you'll bring: Strong software development and operational knowledge Experience supporting scalable cloud-based services, ideally in Azure Effective communication and teamwork skills, enabling smooth collaboration across multiple teams What we're looking for You will need to demonstrate your track … engineering practice. Here is a snapshot of the technologies that we use Azure Cloud (AppServices, Function Apps, DataFactory, Batch, EntraID, AzureML, etc.) Azure DevOps (Pipelines, Bicep templates, CLI, PowerShell, Artefacts) Python/C# Azure Databricks Git, YAML PowerBI ESRI ArcGIS ...