Data Scientist

trg.recruitment; Remote; GBP 85,000 - 100,000; Full time

Job summary

A leading recruitment firm in the UK is looking for a Data Scientist to assist in the development and deployment of machine learning and LLM features within a regulated environment. This fully remote position requires proficiency in Python, experience with various ML frameworks, and strong communication skills. Candidates will need to engage in research and prototyping of LLM use cases while managing data pipelines to enhance performance. The salary can be up to £100k.

Qualifications

• Hands-on Python experience for data science and machine learning.
• Practical experience with LLM frameworks such as LangChain.
• Familiarity with Spark and Kafka for data pipelines.

Responsibilities

• Research and prototype LLM use cases including summarisation and document processing.
• Build and tune models using popular ML frameworks.
• Create data pipelines for batch and streaming use cases.

Skills

Python for data science

LLM frameworks (LangChain)

Spark

Kafka

Databricks

MLflow

Docker

Kubernetes

Communication skills

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]