Data Scientist

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

Job summary

A recruitment agency is seeking a Data Scientist to build and deploy Machine Learning features in a regulated environment. The role requires strong skills in Python and experience with LLM frameworks. You will collaborate with engineering to move models from ideas to production. This is a fully remote position available to candidates in the UK and offers a 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 technical and non-technical stakeholders.

Responsibilities

• Research, prototype, and deploy LLM use cases.
• Build and tune models using various ML frameworks.
• Create data pipelines for batch and streaming with Spark and Kafka.
• Use Databricks and MLflow for experiments, deployment, and monitoring.

Skills

Python

scikit-learn

PyTorch

TensorFlow/Keras

LangChain

Pydantic

Spark

Kafka

Databricks

MLflow

Azure

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]