ML Data Engineer

Location: Knutsford Job Type: Contract Industry: Digital Workspace Job reference: BBBH421254_1756200099 Posted: about 10 hours ago

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