AI/ML Engineer II

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. If that excites you, we'd love to chat.

We're looking for an AI/ML Engineer to help us make this vision a reality. Competitive candidates are outstanding engineers with a track record in developing SOTA deep learning models for solving challenging real world scientific problems and production grade AI-powered software solutions. Our team focuses on the discovery of preclinical digital biomarkers that translate robustly to clinical outcomes. An important outcome of our work is that, while enabling deeper insights into the effects and mechanisms of action of treatments, importantly, it also helps to advance the 3Rs framework, a set of principles that guide the ethical and humane use of animals in scientific research.

In this role you will  

• Convert vaguely described biological/drug discovery challenges into well-defined machine learning problems, particularly in the computer vision domain (both images and video).

• Execute and deliver full AI/ML driven solution from sourcing training data, design and implementing SOTA machine learning models, testing, benchmarking, and product driven research for model performance improvement, to shipping stable, tested, performant code and services in an agile environment.

• Engage with a diverse group of research scientists to help solve complex problems in the preclinical domain.

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 AI/ML engineer.

• Experienced in developing deep learning models for solving real world scientific problems. For example, creating a visual transformer to detect anomalous tissue from a tissue sample or creating a semi-supervised model to classify text from physiology references (Note: these are just examples, and not necessarily reflective of specific work you will be doing).

• An outstanding software engineer and machine learning engineer. Demonstrable expertise and depth in at least one area and breadth across your expertise.

• Experienced/accomplished in software engineering with advanced skills and expertise in best practices for Pythonic programming, for example refactoring code for efficiency and modularization in PyTorch.

• Proficiency with standard deep learning algorithms and model architectures, can build new models either using Pytorch functional API or from scratch.

• Familiarity with current deep learning literature and math of machine learning

• In-depth knowledge in machine learning best practices, scalable training and deployment, model introspection and evaluation

• Experience in deep learning for computer vision, including but not limited to image segmentation and object detection

• Advanced level in PyTorch or Tensorflow.

• Experience with devop stacks: version control, CI/CD, containerization, etc.

• A thorough understanding of security and privacy best practices as relates to data and code.

Preferred Qualifications & Skills:

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

• Track record of contributing to open-source projects, or evidence of working collaboratively on codebases

• Mentality of commit early and often, metrics before models, and shipping high quality production code

• Experience with video analysis and tracking

• Experience/familiar with different modules of an ML product interacting with each other asynchronously (say API calls or shared database)

• Knowledge in disease biology, molecular biology and biochemistry

• Experience with biological data (e.g., genomics, transcriptomics, epigenomics, proteomics, etc.)

Closing Date for Applications: Thursday 10th July 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 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

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.

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 on UKRecruitment.Adjustments@gsk.com or 0808 234 4391.  The helpline is available from 8.30am to 12.00 noon Monday to Friday, during bank holidays these times and days may vary.

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 UK Recruitment FAQ guide. Click the link and scroll to the Careers Section where you will find answers to multiple questions we receive .

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