Overview
Site Name: London The Stanley Building
Posted Date: Oct 7 2025
At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI.
We are looking for an accomplished Senior Machine Learning Engineer to help us make this vision a reality. You will work with foundational genomics models and multiomics datasets from patients and lab experiments to model aspects of RNA biology that will inform our understanding of the molecular mechanisms of diseases, drug response, and design of best-in-class drugs in a new and exciting therapeutic modality. Familiarity and experience 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 highly accomplished Machine Learning Engineers with breadth across machine learning methods and depth in at least one area. They are accomplished software engineers with a track record of shipping stable, tested, performant code and services in an agile environment. A senior engineer can consistently take a poorly defined problem and formulate clear objectives, then execute on it to build a high performing product or service. They are a role model for the team in terms of code quality, standards, and best practices, and they mentor junior team members.
Strong candidates will have graduate studies in Computer Science, Applied Mathematics, or the equivalent (or in the life sciences with a focus on machine learning techniques) and 3+ years of industry experience building machine learning powered tools. Educational or professional background in the biological sciences is a plus but is not necessary.
The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we are motivated to make this a great place to work. Our leaders will be committed to your career and development from day one.
In this role you will
- Optimise, accelerate and solve problems in biological systems using literature-informed mathematical modelling
- Build AIML models which interface with existing GSK systems and continuously improve upon business-relevant metrics via model and code iteration
- Design code architecture to operationalize data ingestion and processing
- Aggressively test code against project specifications
- Act as a technical mentor for junior team members
- Frequently demo work and/or lessons learned for their team and/or for the organization
Why you?Qualifications & Skills
We are looking for professionals with these required skills to achieve our goals:
- Significant industry experience in machine learning engineering
- Graduate studies in Computer Science or Applied Mathematics, undergraduate studies in Computer Science and relevant graduate studies in the life sciences with a focus on AI/ML techniques, or undergraduate studies in Computer Science and equivalent work history.
- Experienced in software engineering with advanced skills in Python
- Advanced level in PyTorch, TensorFlow, or other deep learning frameworks
- Breadth across the ML stack, and depth in at least one discipline
- Demonstrated success shipping products powered by machine learning
Preferred Qualifications
If you have the following characteristics, it would be a plus:
- PhD in Computer Science/Mathematics/Machine Learning
- Academic or industry experience in the biomedical sciences, especially genetics or molecular biology
- Understanding and application of best practices in machine learning, software engineering, and/or production deployment of ML services
- Understanding of modern ML architectures, platforms, and backend systems
- Mentality of commit early and often, metrics before models, and shipping high quality production code
- Track record of contributing to open-source projects
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 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.
During the course of your application, you may be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process.
Why GSK? Uniting science, technology and talent to get ahead of disease together.
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information, military service or any basis prohibited under federal, state or local law.
GSK is committed to an agile working culture for all roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities, contact us at or . The helpline is available 8.30am to 12.00 noon Monday to Friday.
Please note that if your enquiry does not relate to adjustments, we will not be able to support you through these channels. A UK Recruitment FAQ guide is available via the link in the Careers section.
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