ML Data Engineer

Role Title: ML Data Engineer Start Date: ASAP End Date: EOY Location: Knutsford (Hybrid) Rate: £410p/d via Umbrella Overview Role Description: 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. Primary Skills Key Skills & Technologies • 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