2 of 2 Remote Microsoft Jobs in Haywards Heath

Manager who'll be the technical authority for all digital workspace products and services, with responsibility for supporting the desired architecture, integration, configuration, and lifecycle management across platforms like Microsoft 365, Azure, Intune, and Gen-AI tooling. You'll lead the technical delivery and automation of services across the Digital Employee Experience ecosystem, covering end-user computing, device management … hardware/software provisioning, service desk operations, and collaboration platforms like Microsoft 365 and Azure, ensuring performance, security, and user-centric design through direct hands-on engagement. You'll operate at the intersection of the business, focusing on technical optimisation, automation, and user-level telemetry to support continual Digital Employee Experience product improvement and adoption. We value flexible working … e.g., ServiceNow, JAMF, DEX tools). You'll drive the adoption of AI-based automation and telemetry ingestion for continuous service improvement. You'll embed Gen-AI technologies (e.g., Microsoft Copilot, OpenAI APIs) into workspace tools and processes to enhance digital workflows and employee interactions. You'll use AI/ML techniques to build predictive maintenance models for device More ❯

cycle of machine learning models from data ingestion, model development, testing, validation, deployment, to monitoring and retraining of models within different environments. If you've a strong understanding of Microsoft Azure, fluency in data science coding, and expertise in MLOps frameworks, we want to hear from you. Bring your excellent communication, problem-solving, and organizational skills to our team … offer great flexibility in working patterns and a company-wide culture to be proud of. Core skills were looking for to succeed in the role: A strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as … Azure Familiarity with Docker and Kubernetes is advantageous Experience within financial/insurance services industry is advantageous Experience with AzureML and Databricks is advantageous Skills & Qualifications Strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as More ❯