2 of 2 Permanent Infrastructure as Code Jobs in Renfrewshire

the wider communities of practice and interest to share knowledge, techniques, and experience. - Ensure high quality of developed solutions through development and maintenance of unit tests – with appropriate code coverage – and code analysis using code quality tools. - Ensure that developed software complies with non-functional requirements, such as accessibility, security, UI/… presigned URLs, and event notifications - CloudWatch logging and metrics for monitoring and debugging - Understanding of IAM and security for role-based access and credential management - Experience with CDK for infrastructure deployment - SQS for message queuing - EKS/ECS/Kubernetes for containerized AI deployments - FastAPI for building REST APIs and model serving endpoints - Requests library for HTTP client operations …/ML systems, including Grafana - Experience working in Agile delivery models - Scrum and/or Kanban frameworks - Formal XP engineering techniques including TDD and pair programming - Working within defined infrastructure-as-code frameworks Desirable Skills: - Custom model architecture design and implementation - Advanced fine-tuning techniques including LoRA, QLoRA, and parameter efficient methods - Multi-modal AI More ❯

model development and deployment. Expertise in data preprocessing and feature engineering to prepare datasets for large-scale modelling. Proficiency in Python programming with experience of ML frameworks such as TensorFlow, PyTorch, and scikit-learn. Demonstrable experience of distributed computing for handling large ML workloads, particularly using … Spark. Strong capability in statistical analysis and model evaluation , ensuring robust and reliable outputs. Desirable Skills Experience with experiment tracking and model registry tools (MLflow, DVC). Knowledge of infrastructure as code using Terraform or CloudFormation. Familiarity with data visualisation tools and techniques to support model explainability and stakeholder reporting. Advanced understanding of machine learning More ❯