Data Scientist

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

Job summary

A leading recruitment firm is seeking a Data Scientist to develop and implement machine learning and LLM features in a fully remote environment. The successful candidate will work closely with engineering teams to transition models from concept to production. Key responsibilities include researching LLM applications and building robust data pipelines. Proficiency in Python, scikit-learn, and other relevant technologies is essential for this role, offering a competitive salary package of up to £100k.

Qualifications

• Experience in building and shipping ML and LLM features.
• Ability to move models from idea to production.
• Knowledge of data pipelines for batch and streaming.

Responsibilities

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

Skills

Hands-on Python for data science and ML

Practical experience with LLM frameworks

Familiar with Spark / Kafka

End-to-end pipeline experience

Clear communication with stakeholders

Tools

Python

scikit-learn

PyTorch

TensorFlow

Keras

LangChain

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]