ML Data Engineer
| Posting date: | 26 August 2025 |
|---|---|
| Salary: | £400 to £410 per day |
| Hours: | Full time |
| Closing date: | 02 September 2025 |
| Location: | Knutsford, Cheshire, WA16 9EU |
| Company: | Experis |
| Job type: | Contract |
| Job reference: | BBBH421254_1756200099 |
Summary
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