Data Engineeer (ML-Ops)

Summary: The Data Engineer role focuses on AWS Data Engineering and ML Engineering, requiring expertise in various tools and technologies related to machine learning and data pipelines. The position is based in Knutsford and emphasizes hands-on experience with MLOps tools and front-end development. Candidates should have a strong understanding of the machine learning lifecycle and cloud environments.

Key Responsibilities:

• Develop and maintain data pipelines and machine learning models using AWS technologies.
• Implement MLOps practices and tools for model deployment and monitoring.
• Integrate backend services using RESTful APIs.
• Collaborate with cross-functional teams to enhance data engineering processes.
• Utilize CI/CD practices for efficient development workflows.

Key Skills:

• AWS Data Engineering
• ML Engineering
• ML-Ops
• ECS
• Sagemaker
• Gitlab
• Jenkins
• CI/CD
• AI Lifecycle
• Front-end development (HTML, Stream-lit, Flask)
• Model deployment and monitoring in cloud environments
• Machine learning lifecycle understanding
• Data pipelines proficiency
• Python
• Pyspark
• Big-data ecosystems
• MLOps tools (e.g., MLflow, Airflow, Docker, Kubernetes)
• Experience with RESTful APIs

Salary (Rate): undetermined

City: Knutsford

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT