Skills

Python HTML Data Engineering GitLab CI/CD Docker Kubernetes Monitoring Jenkins Machine Learning Front-end Development AWS Flask PySpark

Job Specifications

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!

About the Company

Experis is a global leader in IT professional resourcing, project solutions and managed services. As the need for IT skills accelerates, we help organisations transform their digital infrastructure, enterprise applications, cloud and cyber security. Through Experis Academy, we deliver the powerful combination of in-demand technical skills together with the soft skills that are critical for business success. Experis is part of ManpowerGroup, a Fortune 500 Global Business and world leader in innovative workforce solutions. Know more