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:
1. AWS Data Engineering: ECS, SageMaker, cloud-native data pipelines
2. ML Engineering & MLOps: MLflow, Airflow, Docker, Kubernetes
3. CI/CD & DevOps: GitLab, Jenkins, automated deployment workflows
4. AI Lifecycle Management: Model training, deployment, monitoring
5. Front-End Development: HTML, Streamlit, Flask (for lightweight dashboards and interfaces)
6. Cloud Model Deployment: Experience deploying and monitoring models in AWS
7. Programming & Big Data: Python, PySpark, familiarity with big data ecosystems
Secondary Skills:
8. RESTful APIs: Integration of backend services and model endpoints
Responsibilities
9. Build and maintain robust data pipelines and ML workflows on AWS
10. Develop and deploy machine learning models using SageMaker and MLOps tools
11. Implement CI/CD pipelines for automated testing and deployment
12. Create lightweight front-end interfaces for model interaction and visualization
13. Monitor model performance and ensure reliability in production environments
14. Collaborate with data scientists and engineers to streamline the AI lifecycle