AI Research Scientist

Cambridge FULL TIME £40,000 - £60,000 / Year
(£3,333 - £5,000 / Month)

Job Description

We are seeking a passionate AI Research Scientist to join our innovative team in Cambridge. In this role, you'll be working on cutting-edge machine learning models and contributing to groundbreaking AI applications. The ideal candidate will possess a strong background in data science, machine learning algorithms, and statistical analysis, helping us push the boundaries of technology and AI capability.

Responsibilities

  • Lead research initiatives to explore new applications of AI models across various sectors.
  • Publish research papers and articles in reputable journals and conferences.
  • Utilize statistical methods to measure the effectiveness of AI interventions.
  • Collaborate with academic institutions to enhance AI research development.
  • Assist in grant writing and project funding applications for future AI research.
  • Engage in continuous learning to ensure expertise in evolving AI technologies.

Requirements

Education
  • Master's degree in Data Science, Statistics, or similar
  • PhD preferred
Experience
  • 3-5 years of practical experience in AI research and development
Technical Skills
  • R
  • Keras
Soft Skills
  • Team Leadership
  • Attention to Detail
Certifications
  • Machine Learning Engineer
  • Certified Analytics Professional
Languages
  • English: Fluent

Advantageous

  • Experience with data visualisation tools: Ability to present data effectively using tools like Tableau or Power BI.
  • Familiarity with reinforcement learning: Knowledge of reinforcement learning techniques for advanced AI applications.

Benefits

  • Generous annual leave and holiday allowance
  • Pension scheme with employer contributions
  • Employee wellness programs and initiatives
  • Collaborative and inclusive work environment

Company Culture

  • Continuous Learning: We invest in our employees' growth through ongoing training and development opportunities.
  • Employee Empowerment: We empower our staff to take ownership of their work and contribute to the company's success.
  • Work-Life Balance: We value work-life balance and provide flexibility for our employees.
Status: Closed