Data Scientist

trg.recruitment; Remote; GBP 80,000 - 100,000; Full time

Job summary

A recruiting agency is looking for a Data Scientist to work fully remotely in the UK, focusing on building and deploying ML and LLM features in a regulated environment. You will research various use cases and create data pipelines using tools like Spark and Kafka. Ideal candidates will have strong Python skills and hands-on experience with LLM frameworks and relevant ML technologies. This position offers a competitive salary of up to £100k.

Qualifications

• Experience in building and deploying machine learning models.
• Strong knowledge of Python for data science.
• Hands-on experience with relevant ML frameworks.

Responsibilities

• Research, prototype, and deploy LLM use cases.
• Build and tune models using various ML libraries.
• Create data pipelines for batch and streaming data.

Skills

Hands‑on Python for data science and ML

Experience with LLM frameworks (e.g. LangChain)

Familiar with Spark and Kafka

End-to-end pipeline experience

Clear communication with stakeholders

Tools

scikit-learn

PyTorch

TensorFlow / Keras

Databricks

MLflow

Docker

Kubernetes

Spark

Kafka

Job description

Data Scientist | Fully Remote | Health and Wellbeing

We’re hiring an Data Scientist to help build and ship ML and LLM features in a regulated environment with sensitive data. You’ll work with engineering to move models from idea to production.

Tech Stack : Python, scikit-learn, PyTorch, TensorFlow / Keras, LangChain, Pydantic, Spark, Kafka, Databricks, MLflow, Azure, Docker, Kubernetes.

Salary : Up to £100k

Working Environment : Fully Remote in UK

What you’ll do

• Research, prototype, and deploy LLM use cases (Q&A, summarisation, document processing)
• Build and tune models using scikit-learn, PyTorch, TensorFlow / Keras, and XGBoost
• Create data pipelines for batch and streaming with Spark and Kafka
• Use Databricks and MLflow for experiments, deployment, and monitoring

What you’ll bring

• 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
• Databricks, MLflow, Docker, Kubernetes
• Clear communication with technical and non-technical stakeholders

If you are interested apply below or email me directly [e-mail]