Open roleExternal
Senior AI Research Scientist
- london, england, SW1A 0AA, United Kingdom
- Permanent·Hybrid
- Full time
- £75,000 - £75,000 Per Annum
Job Description
About the Role
Our client is seeking an innovative and highly skilled Senior AI Research Scientist to join their pioneering team in London . This role is central to driving advancements in artificial intelligence, focusing on developing next-generation machine learning models and algorithms that will define future products and services. You will work within a collaborative environment, contributing to cutting-edge research projects that push the boundaries of what's possible in AI, and playing a key role in shaping the technical direction of AI innovation within the company.
Key Responsibilities
- Conduct advanced research into areas such as deep learning, reinforcement learning, and natural language processing to develop novel AI solutions.
- Design, implement, and validate experimental AI models and algorithms.
- Collaborate with engineering teams to prototype and deploy AI models into production environments.
- Publish research findings in top-tier academic conferences and journals.
- Mentor junior researchers and contribute to the overall scientific strategy of the AI division.
Requirements
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research in AI, demonstrated through publications or significant project contributions.
- Expertise in programming languages such as Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Strong understanding of statistical modeling, data analysis, and machine learning fundamentals.
- Excellent analytical and problem-solving skills, with the ability to think critically and creatively.
Benefits
- Highly competitive salary and performance-based bonuses.
- Hybrid working model offering flexibility between home and our London office.
- Comprehensive health, dental, and vision insurance plans.
- Generous pension scheme and life assurance.
- Opportunities for professional development, conference attendance, and continuous learning in a dynamic field.