Overview

AWS Date Engineer

Location: Radbroke (Hybrid - 2 days/week in office)

Contract: 6 Months + | Umbrella Only - Inside IR35

About the Role

We are seeking a highly skilled and experienced Senior AWS Data & ML Engineer to join our team in Radbroke. This hybrid role offers the opportunity to work on cutting-edge machine learning and data engineering projects, leveraging the latest cloud technologies and MLOps practices.

Responsibilities and Qualifications

Required / Primary Skills:

• AWS Data Engineering
• ML Engineering
• ML-Ops
• ECS, Sagemaker
• Gitlab
• Jenkins
• CI/CD
• AI Lifecycle
• Experience in front-end development (HTML, Stream-lit, Flask)
• Familiarity with model deployment and monitoring in cloud environments (AWS)
• Understanding of machine learning lifecycle and data pipelines.
• Proficiency with Python, PySpark, Big-data ecosystems
• Hands-on experience with MLOps tools (e.g., MLflow, Airflow, Docker, Kubernetes)

Secondary Skills:

• Experience with RESTful APIs and integrating backend services

All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply.