Overview

At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies and respond to emerging or changing diseases with personalized drugs. We are looking for an accomplished Senior Machine Learning Engineer to help make this vision a reality. You will work with foundational genomics models and multiomics datasets to model aspects of RNA biology that inform the molecular mechanisms of diseases, drug response, and design of best-in-class drugs in a new therapeutic modality. Familiarity with genomics and RNA biology is a plus, but not required.Competitive candidates will have a track record of shipping high performing machine learning powered products in production environments. They are accomplished ML engineers with breadth across ML methods and depth in at least one area, and experienced software engineers with a track record of shipping stable, tested, performant code and services in an agile environment. A senior engineer can translate poorly defined problems into clear objectives and execute to build high performing products or services, serving as a model for code quality, standards, and best practices and mentoring junior team members.Strong candidates will have graduate studies in Computer Science, Applied Mathematics, or equivalent (or life sciences with a focus on ML techniques) and 3+ years of industry experience building ML powered tools. Educational or professional background in biological sciences is a plus but not necessary. The AI/ML team emphasizes ownership, accountability, continuous development, and collaboration. We hire for the long term and are committed to your career and development from day one.Responsibilities

Optimise, accelerate and solve problems in biological systems using literature-informed mathematical modellingBuild ML/AI models which interface with existing GSK systems and continuously improve business-relevant metrics via model and code iterationDesign code architecture to operationalize data ingestion and processingAggressively test code against project specificationsAct as a technical mentor for junior team membersFrequently demo work and/or lessons learned for the team and the organizationQualifications and Skills

Significant industry experience in machine learning engineeringGraduate studies in Computer Science or Applied Mathematics, or equivalent combination of undergraduate/graduate studies with focus on AI/ML techniques; or life sciences background with AI/ML focusExperienced in software engineering with advanced Python skillsAdvanced level in PyTorch, TensorFlow, or other deep learning frameworksBreadth across the ML stack with depth in at least one disciplineDemonstrated success shipping products powered by machine learningPreferred Qualifications

PhD in Computer Science, Mathematics, or Machine LearningAcademic or industry experience in biomedical sciences, especially genetics or molecular biologyUnderstanding and application of best practices in ML, software engineering, and/or production deployment of ML servicesUnderstanding of modern ML architectures, platforms, and backend systemsCommitment to shipping high quality production code and data-driven decision makingTrack record of contributing to open-source projectsClosing Date

Closing Date for Applications: Wednesday 17th September 2025 (COB)Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying, describe how you meet the competencies for this role in your cover letter and CV.During the course of your application, voluntary information may be requested to monitor equality and diversity policies. Information will be treated as confidential. If you require adjustments to the application process, contact 0808 234 4391. The helpline hours are 8.30am to 12.00 noon Monday to Friday; hours may vary on bank holidays. If your enquiry does not relate to adjustments, please refer to the UK Recruitment FAQ guide via the provided link.Important noticesGSK is an Equal Opportunity Employer. We are committed to an agile working culture and to providing reasonable adjustments where needed. See our precise contact channels for adjustments and further information in the advert.GSK does not accept referrals from employment businesses/agencies unless authorized in writing. This notice includes information on compliance requirements and may reference US transparency regulations where applicable.

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