AIML Software Engineer, AI for Science

At GSK, we are actively working on building a future in which state-of-the-art software, Artificial Intelligence (AI) and Machine Learning (ML) enable us to develop new therapies and personalized medicines that drive better outcomes for patients at reduced cost with fewer side effects. This ambitious mission requires scalable, cloud-native solutions at the forefront of Software Engineering, Cloud Infrastructure, Efficient Compute, Machine Learning and AI. If this excites you, we would love to chat.

About the Role

To strengthen our AI for Science (AI4S) team, we are looking for Software Engineers with a track record in developing production-grade, data-driven software solutions. You will drive the development of scalable cloud infrastructure and efficient compute solutions to support large-scale AI models and agentic systems — building robust, high-performance software that enables scientific research using modern cloud technologies and the vast biomedical data sources available at GSK.

Team Culture

The AI4S 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. We strongly encourage applications from people with diverse and underrepresented backgrounds and perspectives.

In this role you will 

• Design and implement scalable infrastructure and software solutions to support large-scale AI models and agentic systems across the entire software development life cycle.

• Design and implement sophisticated machine learning and deep learning pipelines that can handle massive amounts of data with optimal resource utilization.

• Develop and maintain cloud-native architectures that enable seamless deployment and scaling of AI/ML workloads.

• Deliver robust, tested and high-performance code in an agile environment.

• Liaise with AI/ML engineers, data scientists, and domain experts to ensure fit-for-purpose infrastructure and data pipelines for cutting-edge scientific projects.

Why you? 

Qualifications & Skills: 

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

• A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional software engineer.

• Demonstrated advanced programming expertise in Python and in developing and delivering robust, scalable software solutions.

• Experience with cloud platforms (AWS, GCP, Azure) and cloud-native architectures.

• Passion for software design and commitment to the development of reusable, scalable, and testable software components.

• Basic understanding of at least one major deep learning framework (PyTorch, JAX, TensorFlow).

• Knowledge of command-line tools and shell scripting.

• Knowledge of software engineering best practices, including continuous integration (CI) and continuous deployment (CD), containerization, and infrastructure as code.

• Strong problem-solving and debugging skills, and experience working in cluster settings or cloud-based environments.

• Fluency in English.

Preferred Qualifications & Skills: 

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

• Familiarity with machine learning principles and state-of-the-art modelling approaches.

• Experience in design, development and deployment of commercial cloud-native software and infrastructure.

• Experience building and deploying large-scale AI models and agentic systems in production environments.

• Experience architecting, developing, and deploying distributed training pipelines for large models with PyTorch or TensorFlow.

• Expertise in performance optimization, cost optimization, and efficient compute resource management in cloud environments.

• Contributions to relevant open-source projects.

• Knowledge or interest in disease biology, molecular biology and medicine.

• Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images).

Closing Date for Applications: Thursday 26th February 2026 (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 will 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 0808 234 4391. This will help us to understand any modifications we may need to make to support you throughout our selection process.

#LI-GSK

#LI-Hybrid

• If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $136,125 to $226,875. The US salary ranges take into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process.

Why GSK?

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

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

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 (including family medical history), military service or any basis prohibited under federal, state or local law.

We believe in an agile working culture for all our 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 [email protected] where you can also request a call.

Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a  Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive

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