Posted:
8/26/2024, 10:22:30 PM
Location(s):
England, United Kingdom ⋅ London, England, United Kingdom
Experience Level(s):
Senior
Field(s):
AI & Machine Learning
Given the increased focus on large-language models, prompt engineering, and generative AI, we are looking for a director to lead our newly formed Generative AI team. You will be working in our new GSK HQ, super centrally in London (The Earnshaw, New Oxford Steet).
We are looking for a people leader mixed with a large language model specialist, or AI prompt engineer, to join our team of experts in artificial intelligence. As Director, you wgill driving our overall Generative AI strategy. Ensuring we keep on par with the innovation in closed and open models and AI agents. As making Generative AI solutions is a very software development heavy, we expect the candidate to have strong experience shipping complex AI solutions into production using cloud technologies of Google, Microsoft, and Databricks. The technical team, mostly still to be hired, will be truly global with people in the US, Europe and Asia.
Job Purpose:
Given that the field of Generative AI is arguably less than 2 years old, this position is a bit hard to frame. As a result, we are interested in candidates with applied as well just theoretical experience in the field! Ideally you, or the team you supervised, shipped a complex generative AI solution that combines complex source systems, structured/unstructured/graph/vector stores, and end-user UX. Bonus points for having established a proper LLMops practice around these solutions.
We expect the candidate to create business facing experiences that show-case the value of Generative AI to GSK and pharma in general. Overall, we expect the candidate to drive:
- Developing our Generative AI roadmap and managing our solution space
- Manage the budget of capabilities and solutions
- Hire and develop Generative AI talent globally
- Be-aware on the research and development in the field
- Educate technical and business leaders on the use of Generative AI.
- Co-create with the business appropriate use-cases that will benefit from Generative AI.
- Create technical standards and blueprint for Generative AI scenarios.
- Strong software development standards using Devops/MLops.
Business process areas in scope:
- Supply chain
- Manufacturing
- Quality
Key Responsibilities:
- Hire and Develop a global Generative AI team
- Identify critical business problems that could be solved using Generative AI
- Define strategy for Generative AI team and how to create business value
- Lead discussions at peer review and uses quantitative skills to positively influence decision making.
- Identify opportunities to apply the latest advancements in Large Language Models (LLMs) and Gen AI standards
- Work with our cross-functional team (data scientists, data engineers and research scientists) to define and deliver features in an iterative manner.
- Lead internal and external developers to deliver on the Generative AI roadmap.
- Develop and embed automated processes for predictive model validation, deployment, and implementation
- Connect and collaborate with subject matter experts in -different business areas.
- Make impactful contributions to internal discussions on emerging generative AI methodologies.
- Educate the organization both from IT and the business perspectives on Generative AI
- Demonstrate a combination of business focus, strong analytical and problem-solving skills and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of the project and excellent written and communications skills to report back the findings in a clear, structured manner.
Minimum Requirements:
- A higher degree (PhD preferred) in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Bioinformatics or related quantitative field
- Experience managing, attracting, and developing talent
- Experience with LLMs fine-tuning and/or training and lifecycle (LLMops)
- 5+ years of experience in any at least 2 of the AI domains: NLP, NLG, Computer Vision, etc.
- Experience in machine learning and software engineering best practices with advanced skills in Python and Cloud
- Experience writing and presenting papers, documentation, and presentations to explain (research) findings
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.
As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class*(*US only).
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 [email protected] or 0808 234 4391.
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Website: https://gsk.com/
Headquarter Location: London, England, United Kingdom
Employee Count: 10001+
Year Founded: 1929
IPO Status: Public
Last Funding Type: Grant
Industries: Biotechnology ⋅ Health Care ⋅ Pharmaceutical