Remote Data Scientist – ML/LLM for Health & Wellbeing
trg.recruitment
A distancia
GBP 70.000 - 100.000
Jornada completa
Ayer
Sé de los primeros/as/es en solicitar esta vacante
Descripción de la vacante
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.
Formación
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.
Responsabilidades
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.
Conocimientos
Python
scikit-learn
PyTorch
TensorFlow/Keras
LangChain
Pydantic
Spark
Kafka
Databricks
MLflow
Azure
Docker
Kubernetes
Descripción del empleo
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.
* El índice de referencia salarialse calcula en base a los salarios que ofrecen los líderes de mercado en los correspondientes sectores. Su función es guiar a los miembros Prémium a la hora de evaluar las distintas ofertas disponibles y de negociar el sueldo. El índice de referencia no es el salario indicado directamente por la empresa en particular, que podría ser muy superior o inferior.