1 to 2 of 2 Machine Learning Jobs in Merseyside with Remote Work Options

that offers key insights for better decision making. Role details of the DevOps Engineer Apply signal processing to reduce noise and improve algorithms Manage machine learning models and computational resources for real-time inferencing. Process big data … using Datalake/Datawarehouse and ETL tools (Athena, Amazon EMR, Amazon Redshift). Implement CI/CD pipelines for cloud and edge deployment of ML models. Orchestrate databases for ML predictions. Support AWS deployments for the backend team. Required Skills: Degree in Computer Science, Engineering, or a related field. 5+ … years of experience with CI/CD and ETL deployment for ML models. 1+ years of experience with cloud services preferably AWS and Kubernetes. Desire to work in a fast-paced startup environment. Hybrid working is available with this DevOps role, offering the successful candidate working 2 days onsite and more »

approach. Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery. We want to continue to grow our team with people just … work with clients across all aspects of deriving value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects … manifest both on-premise or in cloud, often driving business intelligence and machine learning capabilities, helping customers achieve their Data as a Service ambitions. As a technical authority, you will interface directly with customers representing BJSS’ deep technical expertise. You will lead delivery teams by example, providing the more »