Machine Learning Infrastructure Engineer

4 weeks ago

London, Greater London, United Kingdom ZipRecruiter Full time
Job Title: ML Ops Engineer – Elite Buy Side Firm

Job Summary:

We are seeking a highly motivated and talented ML Ops Engineer to join our new Machine Learning Infrastructure Core team. As a member of our dynamic team, you will have the opportunity to work on building out the cutting-edge ML infrastructure used by other engineers for the deployment of their ML trading models.

Key Responsibilities:

  • Design and implement scalable and efficient ML infrastructure solutions.
  • Collaborate with cross-functional teams to ensure seamless integration of ML models into production environments.
  • Develop and maintain high-quality code using modern software development practices.
  • Troubleshoot and resolve complex technical issues related to ML infrastructure.
  • Stay up-to-date with industry trends and emerging technologies to drive innovation and improvement.

Requirements:

  • 5+ years of experience in a relevant role such as ML software or quant development or technology.
  • Strong programming skills in Python and experience with ML frameworks.
  • Proficiency in modern software development practices, including version control and agile development methodologies.
  • Strong written and verbal communication skills, enabling effective collaboration and information sharing.
  • Demonstrated enthusiasm for ongoing learning and a proactive attitude towards adopting new technologies.

What We Offer:

  • Unparalleled opportunities for professional development and growth.
  • Access to cutting-edge technologies and tools.
  • Competitive bonuses and comprehensive benefits package.
  • Strong emphasis on work-life balance and reimbursement programs.
  • Rapid career advancement and exposure to a wide range of technologies.

This is a unique opportunity to work at the forefront of the ML industry and contribute to the development of innovative solutions. If you are a passionate ML Ops Engineer with a strong background in ML and infrastructure, we encourage you to apply.

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