AI/ML Engineer, Responsible AI

GSK; City Of London; On-site; GBP 50,000 - 80,000; Full time

Job summary

A global healthcare company in London is seeking an AI/ML Engineer to implement Responsible AI methods across various healthcare modalities. The ideal candidate should have expertise in generative AI, strong programming skills in Python, and a solid understanding of deep learning frameworks. This role focuses on building ethical ML pipelines and contributing to responsible AI research, making it essential for candidates to have a track record in this field.

Qualifications

• A degree in a quantitative or engineering discipline or equivalent work experience.
• Demonstrated programming expertise in Python and experience with generative AI.
• Solid understanding of at least one major deep learning framework.

Responsibilities

• Tailor and implement Responsible AI methods for healthcare modalities.
• Support teams across AIML and GSK in building ethical ML pipelines.
• Contribute to ML research on responsible (generative) AI in drug discovery.

Skills

Expertise in generative AI

Programming expertise in Python

Deep learning framework knowledge

Solid understanding of machine learning principles

Proactive communication skills

Education

Degree in quantitative/engineering discipline

Tools

PyTorch

TensorFlow

Job description

AI/ML Engineer, Responsible AI, Generative AI

At GSK, we are using Artificial Intelligence (AI) and Machine Learning (ML) to develop new therapies and personalized drugs that drive better outcomes for patients at reduced cost with fewer side effects. Because the datasets we use and algorithms, we build at each step of the drug development journey have safety and ethical implications for our patients, GSK has a dedicated team working on the responsible use of AI in healthcare.

Given the promises of generative AI and foundation models for healthcare, we are looking for ML engineers or data scientists with expertise in generative AI such as text-to-text, text-to-image generation or sequence-to-sequence generation. In addition to outstanding ML engineering and data science skills, ideal candidates have a track record of research in the field of Responsible AI.

The Responsible AI 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:

• Tailor and implement Responsible AI methods for a range of healthcare modalities (e.g., genomics, electronic health records, clinical images) and text.
• Support different teams across AIML and GSK in building ethical ML pipelines and software products, with a focus on generative AI, AI agents and the composition of AI systems.
• Contribute to / lead ML research on the responsible use of (generative) AI in drug discovery and clinical applications.
• Work closely with research scientists, senior leaders and AI/ML engineers on the implementation of GSK’s responsible AI strategy.

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 ML engineer or data scientist.
• Demonstrated programming expertise in Python and experience working with generative AI.
• Solid understanding of at least one major deep learning framework (PyTorch, TensorFlow).
• Knowledge of machine learning principles and state-of-the-art modelling approaches.
• Track record of research and publications in the field of Responsible AI.
• Keenness to learn fast in a new domain and to develop your ML and software engineering skills.
• Proactive communication and problem-solving, and a proven ability to collaborate with colleagues of various backgrounds and levels of seniority.

Preferred Qualifications & Skills:

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

• Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images).
• Contributions to relevant open-source projects.
• A background or interest in drug discovery, biology, medicine or ethics.

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.