Job title: Graduate Machine Learning and AI EngineerLocation: EdinburghHybrid role working 2 days a week in the officeSalary: 30,000 to 38,000Contract: 12-month fixed term contractOur market-leading financial services client is seeking an a motivated, detail focused Graduate Machine Learning and AI Engineer to join the Business Transaction Banking division.This role involves building and optimising agent workflows, integrating LLMs with internal tools/data. Additionally, you will have the opportunity to be involved with model deployment, automation and CI/CD. You will also be deploying these artefacts into Kubernetes pods, ensuring scalability, resilience, and proper resource allocation. Key ResponsibilitiesModel Deployment: Take trained AI/ML models and package them into deployable artefacts (e.g., Docker images).Kubernetes Orchestration: Deploy these artefacts into Kubernetes pods, ensuring scalability, resilience, and proper resource allocation.Automation and CI/CD: Build pipelines for automated deployment, testing, and monitoring of models.Environment Management: Handle containerisation (Docker), networking, and configuration for production environments.Monitoring and Logging: Implement tools to track model performance, resource usage, and system health. Skills and ExperienceHave research or practical experience with machine learning engineering and artificial intelligenceExperience using the following: Python, Kubernetes, Docker.Experience using CI/CD Tools: Jenkins, Git