4 of 4 Remote Machine Learning Jobs in Merseyside

implement scalable data solutions in Azure cloud environments Collaborate with cross-functional teams to understand data requirements Ensure data quality, integrity, and security across platforms Support the deployment of machine learning models and advanced analytics Monitor and troubleshoot data workflows and performance issues Requirements: Proven experience with Azure Data Services (Data Factory, Databricks, Synapse) Strong knowledge of Python … data engineering context Excellent communication and stakeholder engagement skills Desirable: Experience with Delta Lake, Power BI, and Azure DevOps Knowledge of data governance, security, and compliance frameworks Exposure to machine learning workflows and MLOps Relevant certifications (e.g. Microsoft Certified: Azure Data Engineer Associate) Benefits: Competitive salary up to £65,000 Hybrid working (2 days in Manchester office) Pension More ❯

team with the heightened workload from the "Insights with Impact" (IwI) project, currently in progress with focus on Microsoft Purview. . Artificial Intelligence (AI) and Machine Learning(ML) Enhancement: Provide infrastructure support for the increased demands and requirements arising from the AI/ML team's initiatives. . Business-as-Usual Operations: Contribute to the management of our … British Library breach. . Respond to tickets/requests from internal teams, with a focus on Purview, Logic Apps & Database management. . Support infrastructure needs of the AI/ML teams. . Manage tickets and emails, ensuring timely responses. . Contribute to both project based and BAU Azure related work, including support for other Gov UK departments hosted on CCS More ❯

a fast-moving environment, bringing structure and clarity to complex problems. 5+ years experience in industry, and at least 2+ years of experience in developing and deploying AI/ML solutions and automating workflows in a professional setting Proficiency in CRM/CAFM systems desirable and a deep understanding of their functionalities. Previous experience working within an M&E environment More ❯

to the development of the AI-driven products it powers. Essential skills: - At least 2-3 years in Data Engineering - Data Warehousing - SQL - Python - Experience with either Power Platform, ML models, or programming with AI This is an excellent opportunity for the successful Data Engineer to join an organisation where employee wellbeing is paramount, and career progression is heavily supported. More ❯