AWS Data Engineer

AWS Date Engineer

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

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.

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