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Lead Machine Learning Engineer

2 months ago

West Yorkshire, United Kingdom Jet2 Full time

Machine Learning Engineering Manager

As our Machine Learning Engineering Manager, you'll play a vital role within the Data Science Management Team, spearheading the development and implementation of advanced analytics and Machine Learning initiatives. This exciting opportunity will see you collaborating closely with technical and data teams, building robust platforms and processes to empower our Data Science and analytics community.

What You'll Be Doing
  • Lead and manage a team of talented Machine Learning Engineers, ensuring they deliver high-quality solutions that drive business value.
  • Provide mentorship and guidance to your team, fostering their growth and development in the ever-evolving field of Data Science, Machine Learning, and AI.
  • Continuously improve and maintain our existing platforms, ensuring we have scalable and robust environments for our Data Scientists to thrive.
  • Stay at the forefront of industry trends and advancements in AI and ML, contributing to the company's data strategy and vision.
  • Establish best practices for the deployment and monitoring of Machine Learning models, ensuring their reliability and effectiveness.
What You'll Have
  • Proven experience in managing technical teams and overseeing the full Machine Learning development lifecycle.
  • A strong understanding of data warehousing principles and experience with ETL tools.
  • Expert-level proficiency in Python and PySpark for data processing, as well as familiarity with Snowflake, relational databases, and cloud infrastructure.
  • Experience building infrastructure as code using technologies like Terraform.
  • Hands-on experience with Machine Learning frameworks such as Scikit Learn, TensorFlow, or PyTorch.
  • A passion for continuous learning and a willingness to master new tools, platforms, and technologies.
  • A methodical approach with meticulous attention to detail.
  • Excellent communication skills, enabling you to effectively collaborate with international teams and diverse stakeholders.