AI/ML Programme Project Manager - Remote (UK)

SR2 Clean Energy; Remote; GBP 60,000 - GBP 80,000; Full time

Job summary

A leading life sciences client is seeking a Project Manager to lead an AI/ML initiative. This remote position involves driving the delivery of a disease-level language model MVP and collaborating with clinical stakeholders. Applicants should have a strong project management background, ideally in complex environments, and be confident with AI/ML concepts. Experience in agile delivery is preferred, with life sciences exposure being advantageous. This is a significant opportunity to impact data-driven healthcare.

Qualifications

• Strong project management background, ideally in complex or technical environments.
• Confident working with AI/ML concepts and terminology.
• Experience in agile delivery, even if not formally certified.
• Comfortable managing cross-functional teams and presenting to senior leaders.
• Life sciences, pharma or R&D exposure is advantageous but not essential.

Responsibilities

• Drive delivery of the disease-level LLM MVP in an agile environment.
• Align AI/ML teams with respiratory stakeholders to define use cases and datasets.
• Set up and manage appropriate programme governance and reporting.
• Coordinate with product managers across Liver and Lung teams.
• Provide regular updates and insight to senior leaders and forums.

Skills

Project management background

AI/ML concepts and terminology

Agile delivery

Managing cross-functional teams

Life sciences, pharma or R&D exposure

Job description

A leading life sciences client is seeking a Project Manager to lead an AI/ML initiative. This remote position involves driving the delivery of a disease-level language model MVP and collaborating with clinical stakeholders. Applicants should have a strong project management background, ideally in complex environments, and be confident with AI/ML concepts. Experience in agile delivery is preferred, with life sciences exposure being advantageous. This is a significant opportunity to impact data-driven healthcare.