
Senior Data Scientist
- London
- Permanent
- Full-time
- Design solutions utilizing natural language processing (NLP) models, including chat assistants and retrieval-augmented generation systems.
- Develop Large Language Model (LLM) solutions that incorporate prompt engineering techniques, model fine-tuning, and alignment strategies.
- Evaluate NLP models using both human-supported and synthetic evaluation methods and metrics.
- Deploy NLP models while ensuring low latency, reliability, and scalability.
- Explore new methods for prompt engineering, model fine-tuning, optimization, document embeddings, and data chunking.
- Collaborate closely with product teams, business stakeholders, and engineers to ensure seamless integration of NLP models into production systems.
- Troubleshoot complex issues related to machine learning model development and data pipelines, developing innovative solutions as needed.
- Actively research and identify the latest relevant methods and technologies in the field.
- A degree in Computer Science, Mathematics, Statistics, Engineering or a related field.
- A solid understanding of Machine Learning and Deep Learning methods, along with their mathematical foundations.
- At least 5 year of professional experience in advanced analytics, data science, or machine learning.
- A minimum of 1 year of hands-on experience developing NLP solutions
- Demonstrated experience with programming languages and frameworks commonly used in machine learning.
- Mastery of Python, with the ability to write robust, high-standard, and testable code.
- Over 1 year of experience implementing information retrieval systems.
- Experience contributing to open-source initiatives, research projects, or participation in data science competitions.
- Publications related to machine learning or deep learning.
- Ability to work effectively in a team environment.
- Capability to report progress and summarize issues for a less technical audience.
- A curious and open-minded attitude toward new approaches and methodologies.
Posted On: 2025-08-22
Location: London, United Kingdom