4 of 4 Remote Data Engineering Jobs in Scotland

innovative organisation is seeking a Data & Applications Manager to shape and deliver the technology capabilities that will drive innovation, growth and operational excellence across the business. This role goes beyond managing a team, it's an opportunity to define the organisation's data strategy from the ground … break down legacy silos, modernise processes and tooling, and build the 'glue' that connects systems, data and workflows. You'll guide a small but expanding team, work closely with third-party suppliers, and take a hands-on approach where needed to accelerate delivery. The Company This is a well ...

innovative organisation is seeking a Data & Applications Manager to shape and deliver the technology capabilities that will drive innovation, growth and operational excellence across the business. This role goes beyond managing a team, it's an opportunity to define the organisation's data strategy from the ground … break down legacy silos, modernise processes and tooling, and build the "glue" that connects systems, data and workflows. You'll guide a small but expanding team, work closely with third-party suppliers, and take a hands-on approach where needed to accelerate delivery. The Company This is a well ...

Senior Data Engineer Contract Location: Glasgow (Hybrid 3 days per week on-site) Duration: 6 Months Day Rate: Competitive Sector: Financial Services Overview: Were looking for a highly skilled Senior Data Engineer to join a leading financial services organisation on a 6-month contract. Youll be working … hybrid basis from their Glasgow office (3 days per week on-site), contributing to key data initiatives that support risk and analytics functions across the business. Key Responsibilities: Design, build, and optimise scalable data pipelines and ETL solutions. Work with complex datasets to enable data-driven insights ...

impactful projects in a collaborative, innovation-driven environment. Key Responsibilities Design and implement robust machine learning models using modern frameworks and libraries. Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions. Optimize and deploy models using tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. … Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate models into production environments. Monitor model performance and retrain as needed to ensure accuracy and efficiency. Collaborate with cross-functional teams to integrate AI solutions into scalable products ...