Data Scientist

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

Job summary

A leading recruitment firm seeks a Data Scientist to work fully remote within the UK, focusing on ML and LLM features in a regulated environment. The successful candidate will conduct research, deploy use cases, and develop data pipelines using a modern tech stack including Python, scikit-learn, TensorFlow, and Docker. Clear communication with stakeholders is essential, and a salary of up to £100k is offered.

Qualifications

• Hands-on experience with Python for data science and machine learning.
• Practical knowledge of LLM frameworks such as LangChain.
• Experience with Spark and Kafka for end-to-end data pipeline development.

Responsibilities

• Research, prototype, and deploy LLM use cases like Q&A, summarisation, and document processing.
• Build and tune machine learning models using various frameworks.
• Create data pipelines for both batch and streaming data.

Skills

Python for data science and ML

LLM frameworks (e.g. LangChain)

Spark

Kafka

Clear communication skills

Tools

scikit-learn

PyTorch

TensorFlow / Keras

Databricks

MLflow

Docker

Kubernetes

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]