Data Engineer: Scalable ML Imaging Pipelines in Cambridge

Data Engineer: Scalable ML Imaging Pipelines in Cambridge

Cambridge Full-Time 50000 - 65000 Β£ / year (est.) No working from home possible
Qureight

At a Glance

  • Tasks: Build and manage data pipelines for machine learning imaging workflows.
  • Company: Qureight, a forward-thinking company in Cambridge focused on healthcare innovation.
  • Benefits: Annual bonus plan, medical insurance, and a supportive work environment.
  • Other info: Collaborative atmosphere with opportunities for professional growth.
  • Why this job: Join a team making a real difference in clinical trials with cutting-edge technology.
  • Qualifications: Experience in data engineering and a passion for machine learning.

The predicted salary is between 50000 - 65000 Β£ per year.

Qureight in Cambridge is searching for a Data Engineer to prepare and manage large imaging datasets for machine learning workflows. You will focus on building robust data pipelines that ensure high-quality data delivery for model development.

This role involves collaboration with Machine Learning Scientists and other engineers to design data infrastructure necessary to support clinical trials effectively.

The position offers a comprehensive benefits package including an annual bonus plan and medical insurance.

Data Engineer: Scalable ML Imaging Pipelines in Cambridge employer: Qureight

Qureight is an exceptional employer that prioritises employee well-being and professional growth, offering a supportive and diverse work environment. As a Senior Clinical Site Manager, you will benefit from competitive perks such as an annual bonus and private medical insurance, while also having the opportunity to lead and mentor junior team members in the dynamic field of imaging trials. Join us in making a meaningful impact in clinical research at our innovative location.

Qureight

Contact Details:

Qureight Recruitment Team

We think you need these skills to ace Data Engineer: Scalable ML Imaging Pipelines in Cambridge

Data Pipeline Development
Imaging Datasets Management
Machine Learning Workflows
Collaboration with Machine Learning Scientists
Data Infrastructure Design
Clinical Trials Support
Data Quality Assurance