Role Title: ML Data Engineer Start Date: ASAP End Date: EOY Location: Knutsford (Hybrid) Rate: £410p/d via Umbrella Role Description: Overview We are seeking a highly capable Data & ML Engineer with strong experience in AWS-based machine learning pipelines, MLOps, and cloud-native deployment. This role focuses on building scalable data workflows, deploying ML models, and managing the full AI lifecycle in production environments. Key Skills & Technologies Primary Skills: AWS Data Engineering : ECS, SageMaker, cloud-native data pipelines ML Engineering & MLOps : MLflow, Airflow, Docker, Kubernetes CI/CD & DevOps : GitLab, Jenkins, automated deployment workflows AI Lifecycle Management : Model training, deployment, monitoring Front-End Development : HTML, Streamlit, Flask (for lightweight dashboards and interfaces) Cloud Model Deployment : Experience deploying and monitoring models in AWS Programming & Big Data : Python, PySpark, familiarity with big data ecosystems Secondary Skills: RESTful APIs : Integration of backend services and model endpoints Responsibilities Build and maintain robust data pipelines and ML workflows on AWS Develop and deploy machine learning models using SageMaker and MLOps tools Implement CI/CD pipelines for automated testing and deployment Create lightweight front-end interfaces for model interaction and visualization Monitor model performance and ensure reliability in production environments Collaborate with data scientists and engineers to streamline the AI lifecycle