Lead Data Scientist - MLOps: Build & Scale AI Production

Global Media Group; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A prominent media organization in Greater London is seeking a Lead Data Scientist with extensive experience in MLOps. This role requires a strong foundation in machine learning to enhance business processes and mentor junior team members. You will collaborate closely with various business units to drive commercial insights and product development. Ideal candidates will have a degree in a quantitative field and expertise in Python and ML/AI methodologies, contributing to a vibrant and innovative data team.

Benefits

Inclusive workplace culture

Flexible working options

Collaborative team environment

Qualifications

• Demonstrable understanding and experience in predictive, prescriptive and generative ML/AI methodologies.
• Strong degree in a numerate subject (e.g., maths, data science, computer engineering).
• Extensive experience deploying, monitoring and maintaining ML/AI models in production.

Responsibilities

• Research and implement supervised and unsupervised learning techniques.
• Build and maintain scalable pipelines for model training, validation, deployment and monitoring.
• Lead cross-functional teams to deliver end-to-end data science projects.

Skills

Predictive ML/AI methodologies

Prescriptive ML/AI methodologies

Generative ML/AI methodologies

Python

SQL

MLOps platforms

CI/CD pipelines

Model performance monitoring

Software engineering best practices

Data analysis skills

Ability to mentor others

Education

Degree in a numerate subject

Tools

MLflow

Snowflake Intelligence

Job description

A prominent media organization in Greater London is seeking a Lead Data Scientist with extensive experience in MLOps. This role requires a strong foundation in machine learning to enhance business processes and mentor junior team members. You will collaborate closely with various business units to drive commercial insights and product development. Ideal candidates will have a degree in a quantitative field and expertise in Python and ML/AI methodologies, contributing to a vibrant and innovative data team.