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Remote Data Scientist – ML/LLM for Health & Wellbeing
Job summary
A leading recruitment firm is seeking a Data Scientist to develop ML and LLM features in a fully remote setting. The ideal candidate will have expertise in Python and experience with various ML frameworks, such as scikit-learn and PyTorch. Responsibilities include researching LLM use cases, building, and tuning models, and creating data pipelines using Spark and Kafka. This role offers a competitive salary of up to £100k.
Qualifications
- Hands-on Python for data science and ML.
- Practical experience with LLM frameworks (e.g. LangChain).
- Familiar with Spark/Kafka and end-to-end pipeline experience.
- Experience with Databricks, MLflow, Docker, Kubernetes.
- Clear communication with stakeholders.
Responsibilities
- Research, prototype, and deploy LLM use cases.
- Build and tune models using various frameworks.
- Create data pipelines for batch and streaming.
- Use Databricks and MLflow for experiments.
Skills
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.