Skills this job asks for
Machine learningProduct managementAgileCompliance
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Sponsorship verdict
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Can’t check pay against the visa rulesNo salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400).
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- Can’t check pay against the visa rules
- No salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400). Source: https://www.gov.uk/skilled-worker-visa/when-you-can-be-paid-less, rules effective 2025-07-22.
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Sponsorship unknown
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About the role
Are you passionate about harnessing the power of AI to revolutionize healthcare? At GSK, we envision a future where advanced machine learning and AI applications drive the development of breakthrough therapies, enabling personalized treatments that yield better outcomes, reduce costs, and minimize side effects. If you're excited by the challenge of pushing the boundaries of technology to solve some of the world's most pressing health issues, we'd love to have you on our team.
As a Senior Product Manager, AI/ML at GSK, you’ll be at the forefront of our innovative journey, leading the end-to-end development of AI-driven products that will shape the future of healthcare. This role offers you the unique opportunity to work independently on complex problems, collaborating closely with our highly skilled internal and external technical teams. Your mission? To define, develop, and deliver AI products that meet the needs of today and anticipate the demands of tomorrow.
You’ll be responsible for every stage of the product lifecycle—from ideation to launch—ensuring that our AI/ML platforms are not only cutting-edge but also aligned with GSK's broader delivery strategy. You'll work closely with senior leaders, leveraging your deep understanding of data, ML methodologies, and software engineering processes to drive innovation and deliver products that make a real impact.
Why You’ll Love Working Here :
Innovative Product Management: You'll have the autonomy to shape the vision and strategy for groundbreaking AI products, using your expertise to turn complex challenges into simple, effective solutions.
Cutting-Edge Technology: Work at the intersection of science and technology, taking advantage of GSKs wealth of data and leading the development of products that use the latest in machine learning to improve patient outcomes.
Collaborative Environment: Engage with cross-functional teams and senior leaders across the company, building strong relationships that foster innovation and ensure successful product deployment.
Mission-driven impact: Your work connects directly to patients. Our stakeholders are expert scientists who will challenge your thinking and sharpen your analysis, and your outcomes steer real programs backed by significant investment and meaningful patient impact.
Agile Work Culture: Thrive in an environment that values agility, continuous learning, and iterative development, where your ideas can quickly translate into impactful products.
In this role you will
• Define AI Product Goals: Assess the objectives of each AI product, clearly articulating the 'why' and the 'what,' along with establishing metrics to measure success.
• Strategic Definition & Execution: Understand the broader delivery and data strategy and ensure successful execution of plans.
• Technical Expertise: Leverage strong analytical skills, knowledge of software engineering best practices, coding, and integration with agentic frameworks to drive product development.
• Product Focus: Maintain a sharp focus on improving and delivering products by ensuring clear communication across teams and stakeholders, aligned with agreed goals and timelines.
• Agile Methodology: Utilize Agile practices in iterative development, with a strong emphasis on inspection, adaptation, and continuous improvement.
• Customer Advocacy: Act as the voice of the customer or user through thorough discovery processes and addressing unmet needs.
• Data Management: Accountable for defining and driving data requirements & strategies to ensure proper sequencing in model development, ensuring timely project delivery.
• Risk and Governance: Contribute to the effective management of the AI Risk register and uphold GSK’s data governance standards.
• Ethics and Complia
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