Senior Machine Learning Engineer

Transform AI in Healthcare Are you passionate about building scalable AI and machine learning systems that make a real-world impact? Join a highly collaborative Data Science team that's transforming pharma intelligence and improving patient access to life-saving therapies. You'll work alongside data scientists, engineers, and product teams to design and deploy production-grade AI/ML solutions that solve complex business challenges. This is an opportunity to own critical ML infrastructure, influence technical direction, and help shape the future of AI within a fast-paced, innovative environment. What You'll Be Doing As a Senior Machine Learning Engineer , you will: * Design and implement end-to-end machine learning pipelines, including data ingestion, model training, validation, deployment, and monitoring. * Build and optimise scalable ML infrastructure with a focus on reliability, maintainability, performance, and cost efficiency. * Partner with Data Science, Engineering, and Product teams to develop AI/ML solutions for complex business problems. * Design reference architectures leveraging LLMs, code interpretation, tool usage, knowledge graphs, and advanced AI techniques. * Continuously evaluate emerging technologies and contribute to technical knowledge sharing across the organisation. * Mentor junior engineers and contribute to engineering best practices. What We're Looking For Essential Skills \& Experience: * Graduate degree in Computer Science, Engineering, Statistics, or another quantitative discipline (or equivalent industry experience). * 5+ years' experience building large-scale, production AI/ML applications. * Strong background in: * Machine Learning * MLOps * Distributed Systems * Cloud Infrastructure * System Design * Latency \& Performance Optimisation * Knowledge Graphs * Excellent Python development skills. * Experience with core data science libraries including: * Pandas * NumPy * Scikit-learn (or equivalent) * Strong understanding of: * Computer Science fundamentals * Algorithms * Computational complexity * Experience developing production-grade distributed systems in Agile environments. * Proven mentoring or technical leadership experience. * Excellent communication and stakeholder management skills. Desirable Experience * Healthcare or pharmaceutical industry experience. * AI applied to healthcare datasets. * AWS cloud services including: * SageMaker * ECS * S3 * Serverless technologies * Snowflake experience. You'll become part of an innovative Data Science team that's delivering cutting-edge AI solutions with tangible impact across healthcare and life sciences. Working in a collaborative environment, you'll have the opportunity to solve challenging technical problems, influence architecture, and work with modern AI technologies at scale. If you're passionate about building robust, production-ready machine learning systems and want to help shape the next generation of AI-powered healthcare solutions, we'd love to hear from you.