3 of 3 Azure Machine Learning Jobs in Lancashire

week. This is an interesting and varied role where you will be responsible for designing, developing, and deploying AI enabled solutions on the Azure and wider Microsoft 365 platform. You will utilise Microsoft low code tools such as Copilot Studio, Teams toolkit and the Power Platform to … the knowledge to code directly to underlying models when required. The role will allow you to develop your skills in areas such as machine learning, cognitive services, and cloud-based AI operations. The successful candidate will work within a wider development team to create innovative AI … placed upon them. Key responsibilities include: Designing and implementing AI solutions using Azure AI services, including Azure Machine Learning, Cognitive Services, and Bot Services Developing and maintaining scalable and secure cloud-based applications on the Azure, Power More ❯

functions, Azure Service bus, Azure Logic apps and third-party applications, Azure Machine Learning, and SSRS Reports. Develop solutions and utilise test-driven development to build features for those solutions (Jasmine, Mock, N-Unit). … experience of content migration using KingswaySoft; Experience in setup and maintaining CI/CD alm toolkit; Implementing Dynamics CRM Master Data Model using Azure Logic Apps and Power Automate. Desirable: Strong knowledge of SQL and data processing libraries like Pandas. Experience with Amazon Redshift or similar technologies. … to-work Scheme Future Planning Pension scheme with employer contributions Life Assurance - 3X base salary Rewards Program - access to discounts and cashback LinkedIn Learning License for upskilling & development Interested but don't feel you meet all the requirements? Our recruitment team assesses and reviews all applications against the More ❯

continuity within financial services or a regulated environment. Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and …/21, FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow , Azure ML, SageMaker , Databricks , Python etc ). Excellent stakeholder management and communication skills. Desirable: Technical background in AI/ML, data science, or software More ❯