Data Scientist

Ronald James Ltd.; North East; On-site; GBP 45,000 - 60,000; Full time

Job summary

A technology-driven company in the North East of England is seeking a Data Scientist to build and deploy machine learning models for personalization, recommendations, and anomaly detection. The ideal candidate will have at least 3 years of experience in machine learning, proficiency in Python and SQL, and familiarity with cloud services like AWS. This role offers an opportunity to work in a collaborative environment utilizing modern ML Ops practices.

Qualifications

• At least 3 years of experience in applied machine learning and deploying production models.
• Proficiency in Python, SQL, and frameworks like TensorFlow, PyTorch, or scikit-learn.
• Experience with AWS services and Databricks; understanding of ML Ops is highly beneficial.

Responsibilities

• Develop and deploy machine learning models for personalization and anomaly detection.
• Implement ML Ops practices like monitoring and automated retraining.
• Utilize AI-assisted development tools to improve productivity.

Skills

Machine Learning

Python

SQL

AWS

ML Ops

Tools

TensorFlow

PyTorch

scikit-learn

Databricks

Kafka

Debezium

S3

Lambda

Delta Lake

Job description

For more information, contact Mieke Van Tonder at 0191 620 0123.

This is an exciting opportunity for someone passionate about technology, data, and machine learning, eager to contribute to a collaborative environment.

The Data Scientist will build and deploy machine learning models to support personalization, recommendations, anomaly detection, and data insights. The role involves working with modern ML Ops practices and leveraging AI-powered tools to enhance efficiency and scalability.

Key Responsibilities

1. Develop and deploy machine learning models for various use cases including personalization and anomaly detection.
2. Implement ML Ops practices such as monitoring, continuous integration, and automated retraining.
3. Utilize AI-assisted development tools like Cursor and Copilot to improve productivity.
4. Collaborate with engineers, DevOps, and leadership to ensure robust data pipelines and translate business needs into technical solutions.

Requirements

• At least 3 years of experience in applied machine learning and deploying production models.
• Proficiency in Python, SQL, and frameworks like TensorFlow, PyTorch, or scikit-learn.
• Experience with AWS services and Databricks; understanding of ML Ops is highly beneficial.
• Ability to adapt quickly to new tools and deliver scalable solutions independently.
• Familiarity with data pipelines involving Kafka, Debezium, S3, Lambda, and Delta Lake is a plus.

Note: Some irrelevant content and personal opinions were removed for clarity and focus.

This job posting is active and available.