ML Data Engineer

Role Title: ML Data Engineer
Company: Experis UK

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.

Start Date: ASAP

End Date: End of Year (EOY)

Location: Knutsford (Hybrid)

Rate: £410 per day via Umbrella

• 
  
• 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
  

• 
  
• 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 basics: 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
  
• RESTful APIs: Integration of backend services and model endpoints