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Job Description
SENIOR DATA SCIENTIST (NLP & LLM)
Up to £85,000
LONDON
Ready to apply Before you do, make sure to read all the details pertaining to this job in the description below.
Ready to elevate your career to new heights? Join a team of experienced Data Scientists and Data Engineers to create impactful LLM's models and work with cutting-edge NLP technologies.
The Role:
Work end-to-end from the R&D to the deployment of NLP/LLM's!
Your day-to-day responsibilities will include:
- You will be responsible for designing, implementing, and maintaining Machine Learning Models to address business requirements.
- You will actively engage with software throughout the entire development lifecycle.
- You will conduct experiments with various models, assess their performance, and make informed solution selections.
- Conduct comprehensive work spanning the entire data lifecycle, including data exploration, data pipeline development, insights and feature extraction, machine learning model creation, and deployment.
- Collaborate on consulting-style pilot projects aimed at helping clients gain a deep understanding of their data and identifying problems that can be addressed through the platform.
- Collaborate closely with data scientists and data engineers to construct and implement machine learning models.
- Take an active role in leading team meetings and client workshops.
- Assist in establishing software engineering standards for the machine learning engineering team and provide support across various disciplines under the guidance of leadership.
Your Skills and Experience:
- MSc or PhD level education in STEM subjects.
- Proven expertise in implementing Machine Learning and NLP models using Bert, Roberta, GPT4, etc. and NLP Open-Source Libraries.
- Strong commercial experience with Python and NLP tooling,
- Previous commercial exposure to LLM, GPT4, AWS, SageMaker
- Excellent communication skills and ability to engage with teams and colleagues.
Benefits:
- Competitive salary up to £85 000
- Outstanding career progression opportunities.
- Flexible working arrangements.
How to Apply:
Register your interest by sending your CV to Luc Simpson-Kent via the Apply link on this page.
Desired Skills and Experience
NLP, Python, LLM's