Reinforcement Learning Researcher

London FULL TIME £55,000 - £75,000 / Year
(£4,583 - £6,250 / Month)

Job Description

We are seeking a talented Reinforcement Learning Researcher to contribute to our groundbreaking AI research initiatives. The ideal candidate will possess deep knowledge of reinforcement learning algorithms and their applications in real-world scenarios. Join our collaborative team to develop innovative solutions that push the boundaries of AI technology.

Responsibilities

  • Contribute to the architectural design of AI systems using reinforcement learning techniques.
  • Conduct workshops to share knowledge and techniques with other teams.
  • Engage with the AI community to foster collaboration and innovation.
  • Utilise machine learning frameworks to develop and refine models.
  • Be involved in grant proposals and funding applications related to AI research.
  • Invest time in personal development and skill enhancement within AI-related areas.

Requirements

Education
  • Master's degree in Data Science or related field
  • PhD is preferred
Experience
  • 3+ years of experience in AI or machine learning roles
Technical Skills
  • R
  • Scikit-learn
  • Pandas
Soft Skills
  • Creativity
  • Leadership
Certifications
  • AWS Certified Machine Learning
  • Certified Data Scientist
Languages
  • English: Fluent

Advantageous

  • Experience with multi-agent reinforcement learning systems: Knowledge in developing systems involving multiple learning agents.
  • Participation in AI competitions: Engagement in Kaggle or other AI challenge platforms is a plus.

Benefits

  • Health insurance and wellness programmes
  • 401(k) retirement plan with company match
  • Flexible working conditions to enhance work-life balance
  • Employee assistance programmes

Company Culture

  • Team Collaboration: We believe in the power of teamwork and collaboration for achieving success.
  • Work-Life Balance: We promote a healthy work-life balance to keep our employees happy and productive.
  • Employee Empowerment: We empower our employees to take ownership and contribute to our mission.
Status: Closed