ML Engineer for Biotech R&D & Cloud Pipelines

Allegis Global Solutions; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

GSK in London is seeking a Machine Learning Engineer to shape data-driven therapies through ML models and scalable pipelines. You will work with R&D scientists to deploy models into production in cloud environments, enabling reliable clinical decision making and advanced analytics across high-dimensional data.

The role emphasizes strong Python, test-driven development, agile practices, and modern CI/CD workflows while exploring biology-focused data and maintaining high software quality.

Qualifications

• Bachelor's degree in a relevant field (computational, numerate or life sciences).
• Experience with ML models for high-dimensional data.
• Strong Python skills and pytest experience.

Responsibilities

• Build ML models for predicting biologically relevant phenomena from in-house data.
• Work with leaders to define success criteria and metrics.
• Design and implement statistical and ML methods to drive key metrics.
• Deploy models into production in a cloud environment.
• Ensure high-quality software with tests and documentation.
• Participate in code reviews to raise standards.

Skills

Python

Agile methodologies

Git / GitHub

CI / CD

Cloud deployment

Unit testing (pytest)

Education

Bachelor's degree in a relevant field

Tools

Docker

GitHub

CI/CD

Cloud deployment

Job description

GSK in London is seeking a Machine Learning Engineer to shape data-driven therapies through ML models and scalable pipelines. You will work with R&D scientists to deploy models into production in cloud environments, enabling reliable clinical decision making and advanced analytics across high-dimensional data.

The role emphasizes strong Python, test-driven development, agile practices, and modern CI/CD workflows while exploring biology-focused data and maintaining high software quality.