AI Engineer: ML Infrastructure & Production Systems

AI Engineer: ML Infrastructure & Production Systems

Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
Winston Fox

At a Glance

  • Tasks: Develop AI applications and ensure the reliability of cutting-edge systems.
  • Company: Award-winning quantitative hedge fund in London with a collaborative team.
  • Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
  • Other info: Be part of innovative projects that drive the firm's strategy.
  • Why this job: Join a high-impact team and shape the future of AI in finance.
  • Qualifications: Strong Python programming skills and 5+ years of relevant experience.

The predicted salary is between 70000 - 90000 Β£ per year.

Winston Fox, an award-winning quantitative hedge fund in London, is seeking an AI Engineer to be a part of their collaborative team. This role focuses on high-impact machine learning and AI projects central to the firm's strategy.

The candidate will be responsible for developing AI applications, collaborating with technologists and traders, and ensuring the reliability of AI systems.

Strong programming skills in Python and 5+ years of relevant experience are essential.

AI Engineer: ML Infrastructure & Production Systems employer: Winston Fox

Winston Fox is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for AI Engineers looking to make a significant impact in the finance sector. Located in the heart of London, employees benefit from a dynamic environment that encourages professional growth through challenging projects and continuous learning opportunities. With a focus on cutting-edge technology and a commitment to employee well-being, Winston Fox stands out as a rewarding workplace for those passionate about machine learning and AI.

Winston Fox

Contact Details:

Winston Fox Recruitment Team

We think you need these skills to ace AI Engineer: ML Infrastructure & Production Systems

Machine Learning
AI Application Development
Python Programming
Collaboration Skills
Reliability Engineering
Quantitative Analysis
Technical Problem-Solving