AIML Engineer, AI for Science

GSK
GSK logo
Location
London
Job Type
Full-time
Posted
June 24, 2026
Views
6

Job Description

Please note that this is a ‘internal job posting’ link, intended for GSK/ViiV employees only. Contingent Workers should check with the recruiter of the Job Requisition to confirm whether the job is open to contingent workers and to obtain the correct job posting hyperlink.

Please note it is your responsibility to notify your manager if you are interested in applying to an open position prior to the interview taking place. Please refer to your local policy for more information and guidelines.

At GSK, we see a world where advanced applications of Machine Learning and AI enable us to develop transformational medicines that drive better outcomes for patients at reduced cost and with fewer side effects. AI will also play a role in how we diagnose and use medicines to enable everyone to do more, feel better, and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI.

About the Role

To strengthen our AI for Science (AI4S) team, we are looking forAI/ML Engineerswith a track record in developing and validating machine learning models for real-world scientific problems. You will drive the development of AI models and agentic systems — researching, designing, implementing, and delivering solutions across a range of scientific tasks, including open-ended research questions, leveraging high-performance computing 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 AI/ML-driven solutions throughout the entire model development life cycle.

  • Research and develop state‑of‑the‑art machine learning models and agentic systems to solve a variety of scientific tasks.

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

  • Liaise with experts in biology, medicine and experimentation to ensure optimal data collection and processing for machine learning models.

Why you?

Qualifications & Skills:

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

  • Bachelor’s, Master’s or Doctorate degree in a quantitative or engineering discipline (computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience delivering state-of-the-art AI/ML solutions.

  • Experience with at least one major deep learning framework (PyTorch, JAX, TensorFlow).

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

  • Experience developing and delivering robust software solutions, including demonstrated advanced programming expertise in Python.

  • Experience in software engineering and machine learning best practices, including version control, continuous integration (CI) and continuous development (CD), containerization, and shell scripting.

  • Fluency in English.

Preferred Qualifications

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

  • Experience in design, development and deployment of commercial AI/ML software.

  • Experience with Large Language Models (LLMs) and Agentic AI (e.g., tool use, multi-agent orchestration, deployment and evaluation).

  • Contributions to relevant open-source projects.

  • Relevant scientific publications in AI/ML (e.g., NeurIPS, ICML, ICLR, AAAI), computational biology or bioinformatics venues.

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

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

Please note that this is a ‘internal job posting’ link, intended for GSK/ViiV employees only. Contingent Workers should check with the recruiter of the Job Requisition to confirm whether the job is open to contingent workers and to obtain the correct job posting hyperlink.

Please note it is your responsibility to notify your manager if you are interested in applying to an open position prior to the interview taking place. Please refer to your local policy for more information and guidelines.

At GSK, we see a world where advanced applications of Machine Learning and AI enable us to develop transformational medicines that drive better outcomes for patients at reduced cost and with fewer side effects. AI will also play a role in how we diagnose and use medicines to enable everyone to do more, feel better, and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI.

About the Role

To strengthen our AI for Science (AI4S) team, we are looking forAI/ML Engineerswith a track record in developing and validating machine learning models for real-world scientific problems. You will drive the development of AI models and agentic systems — researching, designing, implementing, and delivering solutions across a range of scientific tasks, including open-ended research questions, leveraging high-performance computing 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 AI/ML-driven solutions throughout the entire model development life cycle.

  • Research and develop state‑of‑the‑art machine learning models and agentic systems to solve a variety of scientific tasks.

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

  • Liaise with experts in biology, medicine and experimentation to ensure optimal data collection and processing for machine learning models.

Why you?

Qualifications & Skills:

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

  • Bachelor’s, Master’s or Doctorate degree in a quantitative or engineering discipline (computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience delivering state-of-the-art AI/ML solutions.

  • Experience with at least one major deep learning framework (PyTorch, JAX, TensorFlow).

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

  • Experience developing and delivering robust software solutions, including demonstrated advanced programming expertise in Python.

  • Experience in software engineering and machine learning best practices, including version control, continuous integration (CI) and continuous development (CD), containerization, and shell scripting.

  • Fluency in English.

Preferred Qualifications

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

  • Experience in design, development and deployment of commercial AI/ML software.

  • Experience with Large Language Models (LLMs) and Agentic AI (e.g., tool use, multi-agent orchestration, deployment and evaluation).

  • Contributions to relevant open-source projects.

  • Relevant scientific publications in AI/ML (e.g., NeurIPS, ICML, ICLR, AAAI), computational biology or bioinformatics venues.

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

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

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

#GSKAIML

Germany Salary Range / Gehaltsbandbreiten Deutschland: EUR 84,000 to EUR 140,000 For positions covered by collective bargaining, employment conditions and remuneration are determined by the applicable collective agreements for the chemical industry as well as internal policies. More detailed information on compensation will be provided during the recruitment process. Depending on the role and internal policies, the position may also be eligible for a bonus (if applicable and based on defined, non-discretionary criteria) and/or awards for exceptional performance (granted at the employer’s discretion). All benefits arising from the applicable collective bargaining agreement, such as holiday allowance and additional paid time off, will be provided in full, in accordance with that agreement and German law. Other benefits may also be offered, which may include health & wellbeing benefits, pension plan and paid parental leave & care of family member leave.

If you require an accommodation or other assistance to apply for a job at GSK/ViiV Healthcare, please submit a request to HR via theService Portal

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.

This Position Description is to provide a framework for job understanding between employee and manager. It may not cover or contain the full listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice and at the discretion of the management of the Company. The position description is not used in the assignment or assessment of any GSK level or grade used in the Job Evaluation Process.

Compensation Grade:

Job Posting End Date:

Not Available

Eligible for Employee Referral Bonus:

No

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Frequently Asked Questions

Where is the job located, and is it remote/hybrid/on-site?
The position is located in London, and the role is hybrid (indicated by the #LI-Hybrid tag).
What are the key responsibilities of this role?
You will design and implement AI/ML-driven solutions, research and develop state-of-the-art machine learning models and agentic systems, deliver robust code in an agile environment, and collaborate with biology, medicine, and experimentation experts to optimize data collection and processing.
What qualifications and experience do I need to apply?
You need a Bachelor's, Master's, or Doctorate in a quantitative/engineering discipline (or equivalent work experience), experience with a major deep learning framework (PyTorch, JAX, TensorFlow), Python expertise, familiarity with ML literature, and experience with software engineering best practices (CI/CD, version control, containerization).
What is the salary range for this position?
The Germany salary range is EUR 84,000 to EUR 140,000. Remuneration and conditions for positions covered by collective bargaining are determined by applicable collective agreements for the chemical industry and internal policies.
What benefits does the company offer?
Benefits include holiday allowance, additional paid time off, health and wellbeing benefits, a pension plan, and paid parental and family member care leave, provided in accordance with collective bargaining agreements and German law.
What should I submit with my application?
You should submit an online application and use either your CV or the 'cover letter' section to describe how you meet the competencies and job requirements outlined in the posting.

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Research the company before you apply.

  • 4 open roles
  • Verified H-1B salary data
  • Clinical-trial hiring momentum
  • Culture, benefits & locations
View company profile

Job Information

Source: manual
AI Relevance: 90/100 (Highly relevant)
Remote Type: onsite
Allowed Locations: Worldwide
Skills & Tags:
[object object] machine learning deep learning bioinformatics computational biology genomics clinical proteomics transcriptomics LLM

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