Machine Learning Engineering Lead, GSK

• The candidate should be comfortable being accountable for setting the direction, standards and culture of a machine learning engineering sub-team, with demonstrable expertise across machine learning, software engineering and biology
• Equally important will be excellent communication, interpersonal and organisational skills, and the ability to represent and transmit the values and principles of our organisation
• Graduate studies in Computer Science or Applied Math, undergraduate studies in Computer Science and relevant graduate studies in the life sciences with a focus on AI/ML techniques, or undergraduate studies in Computer Science and equivalent work history. Candidates with graduate studies in CS and biological sciences or equivalent work history will be highly competitive
• Track record as an independent contributor capable of end-to-end development of ML-powered products for biological or pharmaceutical applications
• Advanced Python programming skills and a track record of delivering robust software solutions
• 3+ years experience in a technical lead or engineering manager role with direct reports
• 5+ 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 architectures, including sequence or graph based methods
• In depth knowledge in machine learning best practices, scalable training and deployment

Desirable

• The AI/ML RNA Therapeutics team applies machine learning and AI methods to fundamental problems in RNA biology and biochemistry domain in order to accelerate the discovery and development of novel RNA therapeutics
• We are looking for a Lead of ML Engineering – RNA Therapeutics. This is a technical management track role with responsibility for direct reports
• Lead a machine learning engineering team specialising in fundamental problems in RNA biology and chemistry
• Manage complex, multi-quarter, cross-functional projects
• Be a standard bearer for data science and software engineering best practices within the organisation
• Develop plans to meet requirements, organize a team capable of executing the plans, and lead and track delivery
• 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

• Closing Date for Applications: Wednesday 19th June 2024 (COB)