AI/ML Engineer

At GSK, we see a world where advanced applications of Machine Learning and AI empower us to drive groundbreaking solutions that further our mission of enabling everyone to do more, feel better, and live longer. This ambitious vision will rely on developing cutting-edge products and solutions in Machine Learning and AI. If this excites you, we'd love to chat.

Our team focuses on creating innovative models to enhance the financial systems and processes that support GSK's ability to develop important therapies. By leveraging state-of-the-art machine learning and AI, we improve financial strategies and optimize decision-making across the organization. We are seeking an accomplished Machine Learning Engineer to help us accelerate these efforts and bring more ambitious, patient-focused solutions to life. Strong candidates will have a proven track record of delivering high-performing AI/ML-powered products in production environments and demonstrate expertise in complex mathematical modeling. We’re looking for a passion for advancing financial solutions that align with GSK’s mission, along with a commitment to continuous learning and development.

Our AI/ML team operates on principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're committed to creating an excellent working environment. Our leaders are dedicated to your career growth and development from day one.

In this role you will

• Build models, services, and libraries that fulfil the stated API contract and metrics for a project
• Effectively iterate on model design, training process design, code abstractions, etc. to improve key metrics of the model, service, or library
• Aggressively test code to ensure the specification is met
• Proactively communicate problems, delays, and changes to project lead or senior engineers and ask for help
• Engage with code review and view it as a learning tool to improve engineering practice
• Commit code early and often, and seek feedback along the way when needed
• Frequently demo work and/or lessons learned for their team or for the organization

Why you?

Qualifications & Skills:

We are looking for professionals with these required skills to achieve our goals:

• A minimum of a master’s degree in computer science, applied maths, statistics, physics, engineering or related field
• Advanced programming expertise in Python and experience developing and delivering robust software solutions, including code testing
• Understanding and applying best practices in Machine Learning, with breadth across the ML pipeline
• Experience shipping products powered by machine learning
• Proven ability to solve complex problems using creative approaches, state-of-the-art tools, and best engineering practices
• Ability to work both autonomously and collaboratively on complex projects

Preferred Qualifications & Skills:

If you have the following characteristics, it would be a plus:

• Understanding of modern ML Architectures, Platforms, and backend systems, including PyTorch or TensorFlow
• Mentality to commit early and often, metrics before models, and shipping high quality production code
• Experience in deploying AI/ML solutions with cloud computing Platforms, such as Google Cloud Platform or Azure, and engineering AI/ML pipelines to optimise cloud resources (GPUs, CPUs)

Closing Date for Applications: Wednesday 2nd April 2025 (COB)

Please take a copy of the Job Description, as this will not be available post closure of the advert.
When applying for this role, please use the ‘cover letter’ of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.