Director of Engineering, AI/ML Services

Site Name: London The Stanley Building
Posted Date: Oct

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

Our AI/ML Engineering organization is horizontally positioned to support GSK.ai product delivery; we design, build, and maintain key platforms and services in conjunction with our Machine Learning teams and the Onyx Platform organization. The products we build enable researchers to leverage advanced AI to reduce the risk of advancing drugs through the pipeline. Our UK-based team will be particularly responsible for supporting high priority objectives in the biomedical and clinical domains, as well as advancing our LLM and Agents strategic roadmap. This is a high impact organization that is critical for our long-term success; we're looking for an outstanding leader to set the vision and strategy, execute a fit-for-purpose hiring strategy, and drive the product line end-to-end.

As a Director of Engineering, you will be expected to perform in settings of high visibility and rapid growth. Competitive candidates will have a track record of high output leadership as well as experience shipping cloud software and data products at scale. Candidates with experience shipping ML platforms will be very competitive. Understanding of genetics and biology and previous experience in the Pharma industry is a plus, but not required outside of a willingness to learn. Equally important will be excellent communication, interpersonal and organizational skills, and the ability to represent and transmit the values and principles of our AIML team.

The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one.

As a Director of AI/ML Engineering, you will:

• Lead a software engineering team responsible for deploying production services and platforms.
• Manage complex, multi-quarter, cross-functional projects spanning partners and stakeholders in AI/ML, research science, and laboratories.
• Be a standard bearer for production and software engineering best practices within the organization.
• Develop plans to meet requirements, organize a team capable of executing the plans, and lead and track delivery.
• Drive an interview process to enable team growth adhering to diversity and inclusion requirements.
• Maintain a safe and inclusive team environment in which people thrive.
• Operate in a transparent way, communicating clearly and accurately to leadership and the broader organization.
• Develop a high-performing team through coaching, feedback and ensuring opportunities for growth.

Basic Qualifications:

• Graduate studies in Computer Science or undergraduate studies in Computer Science and equivalent experience.
• Track record as an independent contributor capable of end-to-end development of data-driven products and services.
• Advanced Python programming skills and a track record of delivering robust software solutions.
• Proficiency in Google Cloud Platform or similar enterprise cloud environment: security and privacy controls, deployments and scaling, monitoring, alerting, and analytics.
• 2+ years experience in a technical lead or engineering manager role with direct reports.
• 4+ years experience of professional software development practices: code standards, code review, version control, CI/CD, testing, documentation, Agile, with the ability to mentor others in these practices.
• Proficiency with standard deep learning algorithms and model architecture.

Preferred Qualifications:

• PhD in Computer science.
• Tech lead or management experience on large-scale AI/ML Platforms such as LLMs, feature store, or search.
• Demonstrated track record of success in shipping impactful AI/ML products in the Pharma industry.
• Academic or industry background in genetics and biology knowledge domains.

Why GSK?

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.

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.