AI Research Scientist

Cambridge FULL TIME £50,000 - £70,000 / Year
(£4,166 - £5,833 / Month)

Job Description

Join us as an AI Research Scientist in Cambridge, where you will be at the forefront of AI innovation. Our ideal candidate possesses a strong foundation in machine learning and AI methodologies and is eager to push boundaries in data-driven research and development.

Responsibilities

  • Develop and implement state-of-the-art machine learning models.
  • Conduct research to enhance existing AI frameworks and algorithms.
  • Collaborate with data scientists to design and execute experiments on large datasets.
  • Analyse model performance metrics and identify areas for improvement.
  • Publish research findings in reputable journals and present at conferences.
  • Mentor junior researchers and interns in AI practices and methodologies.
  • Stay up-to-date with the latest AI trends and technologies.

Requirements

Education
  • PhD in Computer Science, Data Science, or a related field
Experience
  • 3-5 years of experience in AI research or related role
Technical Skills
  • Python
  • TensorFlow
  • Machine Learning
  • Data Analysis
Soft Skills
  • Critical Thinking
  • Collaboration
Certifications
  • Certified Information Systems Security Professional (CISSP)
  • Machine Learning Certification from a recognised institution
Languages
  • English: Fluent

Advantageous

  • Experience with Deep Learning frameworks: Familiarity with frameworks such as Keras and PyTorch.
  • Knowledge of Natural Language Processing (NLP): Experience designing and implementing NLP models.

Benefits

  • Competitive salary and performance bonuses
  • Health, dental, and vision insurance
  • Flexible working hours
  • Opportunities for professional development
  • Access to cutting-edge technology and tools

Company Culture

  • Collaboration: We believe in teamwork and innovation, encouraging collaboration across all levels.
  • Inclusivity: We celebrate diversity and are committed to creating an inclusive environment.
  • Continuous Learning: We promote ongoing learning and development opportunities for all employees.
Status: Closed