3 of 3 Remote Data Cleansing Jobs in the North West

Data Manager–£36,000- £47,000 + Benefits– Liverpool, L3 The Role Are you experienced in managing clinical data and ensuring its accuracy? Do you have the technical skills to handle imaging-related datasets and streamline workflows with Python?If so, this could be the perfect opportunity for you! We are MyCardium AI , an … innovative company at the forefront of cardiac imaging and AI technology. We are now seeking a Data Manager to join our growing team in Liverpool. You will be responsible for managing the lifecycle of clinical study data, ensuring accuracy, compliance and smooth data handling processes. Working closely with project managers, imaging … analysts and sponsor representatives, you will help ensure that study data is reliable, secure and supports high-quality clinical outcomes. If this sounds like the right opportunity for you, we'd love to hear from you. Apply today and join us on our journey to transform healthcare with AI. This role is 4 days office based (Liverpool More ❯

Microsoft 365 and Microsoft Azure, with experience of document/record retention systems. Previous experience working alongside an MSP. Microsoft Excel skills, with experience in data cleansing is advantageous but not essential. Awareness/understanding of emerging technologies and deployment of digital tools to achieve efficiencies across an organisation. Familiar with Cyber Essential Plus accreditation and More ❯

learning automation Build the pipelines that automate the regular model update and monitoring processes Build a framework that supports the creation, deployment, maintenance, and monitoring elements that non-data scientist and machine learning analysts produce, including assisting with hyper-parameter tuning, feature engineering, feature selection, and validation, reporting and visualisation, and communication processes. Work closely with the … data science team to integrate modelling approaches and techniques Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and cleaning More ❯