Summary
Alan Clark is a Senior Principal Machine Learning Engineer with eight years of hands-on experience building cloud-native, data-driven products across energy, trading and consulting sectors. He blends full-stack data science and production ML engineering, delivering robust, containerised solutions and automation that accelerate time-to-production. At PhysicsX he applies ML to accelerate physics simulations for high-impact industries from aerospace to medical devices, drawing on a rare mix of numerical physics, platform engineering and domain fluency. He holds an MPhil in Machine Learning and Machine Intelligence from Cambridge (Distinction) and an MEng in Chemical Engineering from Edinburgh, where he was nationally recognised among top graduates. Known for shipping pragmatic tooling—Python frameworks, Azure DevOps/Terraform pipelines and JSON-schema driven integrations—he thrives in fast-paced, high-stakes environments. Outside core ML work he brings a background in process engineering and trading platforms, enabling him to translate complex physical and business constraints into scalable ML systems.
8 years of coding experience
14 years of employment as a software developer
MEng Chemical Engineering, MEng Chemical Engineering at The University of Edinburgh
Master of Philosophy - MPhil Machine Learning and Machine Intelligence, Master of Philosophy - MPhil Machine Learning and Machine Intelligence at University of Cambridge
Applied Data Science Bootcamp Data Analysis Data Science Machine Learning, Applied Data Science Bootcamp Data Analysis Data Science Machine Learning at Cambridge Spark