Overview
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
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
Key Skills & Qualifications
* 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
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