Machine Learning Engineer

1 week ago

London, Greater London, United Kingdom Axion Ray Full time
About Axion Ray

Axion Ray is a pioneering company that aims to revolutionize the engineering industry by leveraging cutting-edge artificial intelligence and machine learning technologies. Our mission is to create a proactive management platform that improves the quality and safety of engineered products, such as airplanes, electric vehicles, and medical devices.

Job Summary

We are seeking a highly skilled Machine Learning Engineer to join our team and contribute to the development of our AI-powered platform. As a key member of our engineering team, you will work closely with data scientists, data engineers, and full-stack engineers to design, build, and deploy machine learning models that drive business value.

Key Responsibilities
  • Collaborate with data scientists to develop and deploy machine learning models that drive business insights and improve product quality.
  • Work with data engineers to design and implement data pipelines that support machine learning model development and deployment.
  • Partner with full-stack engineers to ensure seamless integration of machine learning models with our platform.
  • Contribute to the development of software engineering practices and standards within the machine learning engineering team.
Requirements
  • Master's degree in Computer Science or a related field with a strong background in machine learning.
  • 4+ years of professional experience in machine learning engineering, with a focus on developing and deploying machine learning models in cloud-based environments.
  • Strong programming skills in Python, with experience in data exploration, model building, and deployment.
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
  • Experience working with aerospace or automotive companies is highly desirable.
What We Offer
  • Highly competitive compensation package.
  • Career development and leadership opportunities.
  • A dynamic and collaborative work environment.
  • Free lunches and a vibrant office in Shoreditch.
  • Collaborative coding practices and a commitment to diversity and inclusion.

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