Senior AI/ML Engineering Manager
2 weeks ago
At GSK, we are harnessing the power of Artificial Intelligence (AI) and Machine Learning (ML) to drive innovation in drug development. As a Senior AI/ML Engineering Manager, you will lead a diverse team of engineers who support teams across AIML and GSK to turn applied AI research into reliable and safe ML pipelines and software products.
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.
Key Responsibilities:
- Lead a diverse team of AI/ML engineers to develop and deliver robust software solutions.
- Drive technical ML research and establish GSK as an excellent place to do responsible AI research.
- Manage complex, multi-quarter, cross-functional projects.
- Represent AIML in cross-functional projects or working groups with little to no oversight, representing both technical excellence and the organization's interests.
- Operationalize GSK's responsible AI strategy by scaling the work of our team across a growing organization and enterprise needs.
- Be a standard bearer for research and software engineering best practices within the organization.
- Develop a high-performing team where people can thrive through coaching, feedback, and ensuring opportunities for growth, including managing managers and developing senior team members.
Requirements:
- PhD 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.
- Strong track record as an independent ML researcher, preferably in a field related to responsible AI.
- Demonstrated advanced programming expertise in Python and in developing and delivering robust software solutions.
- 2+ years experience in a technical lead or engineering manager role with direct reports.
- 5+ years experience of ML research and/or software development practices: code standards, code review, version control, CI/CD, testing, documentation, Agile, with the ability to mentor others in these practices.
- Keenness to learn fast in a new domain and to continuously develop your ML and software engineering skills.
- Experience building and evaluating large language models (LLMs) and LLM-based applications OR experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images).
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 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).
We believe in an agile working culture for all our roles. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions.
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