AWS Data Engineer

Experis; Knutsford; Hybrid; GBP 65,000 - 85,000; Full time

Job summary

A leading technology staffing firm is seeking a Senior AWS Data & ML Engineer for a hybrid role in Radbroke. The successful candidate will work on innovative machine learning and data engineering projects utilizing advanced cloud technologies and MLOps practices. Ideal applicants will have strong skills in AWS, Python, and MLOps tools.

Qualifications

• Extensive experience with AWS Data Engineering and Machine Learning.
• Proficiency in Python and knowledge of PySpark.
• Hands-on experience with MLOps tools and cloud environments.

Responsibilities

• Work on machine learning and data engineering projects.
• Leverage the latest cloud technologies in a hybrid setting.
• Integrate backend services using RESTful APIs.

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 AWS

Python

PySpark

Big-data ecosystems

MLOps tools (e.g., MLflow, Airflow, Docker, Kubernetes)

RESTful APIs

Job description

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.