ML Engineer: Deploy & Automate Models in AWS (MLOps)

ML Engineer: Deploy & Automate Models in AWS (MLOps)

Full-Time 45000 - 55000 Β£ / year (est.) No working from home possible
Data Idols

At a Glance

  • Tasks: Deploy and automate ML models to enhance customer experience and drive business outcomes.
  • Company: Join a leading data team at Data Idols in vibrant Manchester.
  • Benefits: Opportunity for professional growth and working with cutting-edge AWS technologies.
  • Other info: Dynamic environment with a focus on innovation and collaboration.
  • Why this job: Make a real impact by implementing best practices in MLOps.
  • Qualifications: Proficient in Python and familiar with ML frameworks.

The predicted salary is between 45000 - 55000 Β£ per year.

Data Idols is seeking a Machine Learning Engineer to join a leading data team in Manchester. This role will focus on deploying and automating ML models that enhance customer experience and drive business outcomes.

Applicants should be proficient in Python, understand ML frameworks, and have a keen interest in MLOps. The position offers the chance to implement best practices in an AWS environment, making it a fantastic opportunity for professional growth.

ML Engineer: Deploy & Automate Models in AWS (MLOps) employer: Data Idols

Data Idols is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Manchester. With a strong focus on employee growth, we provide ample opportunities for professional development and skill enhancement, particularly in cutting-edge technologies like AWS and MLOps. Join us to be part of a dynamic team that values creativity and empowers you to make a meaningful impact on customer experiences and business success.

Data Idols

Contact Details:

Data Idols Recruitment Team

We think you need these skills to ace ML Engineer: Deploy & Automate Models in AWS (MLOps)

Python
SQL
Problem-Solving Skills
Data Engineering
Communication Skills
Data Pipeline Development
API Integration