AI Modeling Engineer

Job Title: AI Modeling Engineer – Digital Twin

Job Purpose: Join our dynamic and forward-thinking team as an AI modeling Engineer, where you will collaborate with AI engineers and scientists in transforming our organization into a high-performing, innovation-driven center of excellence. Your focus will be on creating self-healing supply chains powered by digital twins and intelligent autonomous systems. You will provide technical expertise, implementing cutting-edge AI strategies from ideation to production, ultimately impacting patient care. Starting with enhancing manufacturing and engineering operations, you will extend these innovations to quality and supply chain, driving efficiencies and helping us achieve our vision of reaching 2.5 billion patients annually.

In this hands-on role, you execute the AI modeling strategy for digital twins, including process and asset twins for manufacturing, engineering, and quality. These domains rely heavily on sensor-based data, so expertise in time series and tabular data is essential. Experience with other data types, such as text, is a plus. By applying a rigorous scientific approach and staying ahead of AI advancements, you implement new capabilities to maximize impact. You will contribute to our Smart Manufacturing program and AI platform development by implementing methodological discussions and driving innovation through the latest AI and generative AI technologies (e.g., AI agents, synthetic data generation).

A key part of your role will be part of squad teams to discover & build digital twin products to the highest standards. You will work with internal staff and consultants, in a high-performance, cross-functional environment in collaboration with key stakeholders. You will be hands-on in delivering critical components while empowering junior staff to grow their skills to implement all the details. You will ensure fast delivery of minimum viable products using Agile methodologies, while understanding the business needs in manufacturing, engineering, and quality to shape technical roadmaps that anticipate future demands.

Additionally, you will collaborate with architecture, MLOps, LLMOps, and AI governance teams to ensure AI digital twins meet compliance standards. You will work closely with R&D and business teams to facilitate the transfer of cutting-edge digital technologies and products to commercial activities.

Key Responsibilities:

• AI Digital Twin Technical Expertise: Serve as expert for digital twin techniques and methodologies, setting the standards for present and future AI initiatives.

• Innovation Roadmap: Help identifying and executing the AI innovation plan and manage its successful delivery.

• AI Experiments: Use a fast-fail approach to quickly implement and identify impactful AI opportunities.

• Product Development: Implement the creation of scalable product and platform capabilities that enhance patient outcomes and drive competitive advantage.

• Compliance and Standards: Ensure adherence to MLOps, AI governance, and industry compliance standards in collaboration with relevant teams.

Desired Qualifications:

• Master’s degree in Computer Science, Artificial Intelligence, or a related field; PhD preferred.

• Proven experience in AI-driven technical roles, particularly within pharmaceuticals, Oil & Gas, engineering companies, or similar industries. Experience in a Global Center of Competence is highly valued but open to other relevant sectors.

• 3+ years of experience in a similar role, within Agile methodologies.

• Strong Python software development and good MLOPs skills within shipped products.

• Strong technical skills in time-series modeling, process control strategies such as MPC, first principles, Bayesian optimization, Kernel transformation, data distillation, tabular data, synthetic data generation (in silico), standard predictive methods, mechanistic modeling, etc.

• AI Agent experience is a plus.

• Tech stack: AzureML, Azure Cloud, DataBricks, Pytorch

• Understanding and ability to design architecture for AI solutions is a plus.

• Demonstrated scientific excellence through publications and a track record of shipping AI products into production.

This position offers a unique opportunity to make a significant impact on our journey to enhance patient care and operational excellence through AI innovation. We encourage applications from individuals of all backgrounds and experiences who are excited about pushing the boundaries of AI in healthcare and beyond.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

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