Senior Machine Learning Engineer - AI Enablement

and development of life-changing treatments. You will work across a cross-functional ecosystem of computational and research scientists, AI/ML experts, product leaders, and DevOps engineers, spanning the stack to deliver high-impact scientific solutions.This role is based in Welwyn, with onsite working three days per week. Relocation support is not available.The Opportunity:* You design, develop, and testrobust, scalable, and maintainable AI/ML-facing scientific web applications and backend systems.* You build tools to evaluate AI/ML model performance and establish new ways to understand and measure AI quality.* You partner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specifications and robust architectures.* You develop and maintain data systems for collecting, structuring, and storing diverse scientific data that powers advanced analytics, machine learning, and other data-driven

initiatives.* You implement, adopt, and evaluate new AI/ML algorithms and analytical techniques.* You shape how we buildcontributing to architectural decisions, code reviews, and the evolution of our development processes and tech stack.* You span the stackbuilding, owning, and continuously improving systems, and contributing where needed beyond your core area of expertise.Who you are:* You bring a strong technical foundation with a Master’s or PhD in Computer Science or a related technical field (or equivalent experience) and established professional experience in machine learning engineering.* You have deep ML expertisewith expert knowledge of statistics, machine learning theory, and algorithms, and strong proficiency across AI/ML frameworks, libraries, and tools.* You optimise for performance and scale with strong knowledge of ML performance optimization and GPU best practices, and hands-on experience of Kubernetes, relational and NoSQL databases or data lakes, and cloud-native architectures in public clouds (ideally AWS).* You practise engineering excellenceapplying proven engineering best practices and building trusted partnerships with internal and external collaborators.* You are an excellent communicator and continuous learnerwho quickly acquires new technologies and languages, and communicates with clarity across scientific, engineering, and product disciplines.Preferred:* Experience with imaging or biological data and processes.* Experience working with scientists or in a research environment.* Experience with workflow automation, GenAI, and/or agents.If you want to build the systems that make AI an everyday utility for scientists, and help bring life-changing medicines to patients faster, apply now and join us #J-18808-Ljbffr