Ewan Beattie
Machine Learning Engineer @Whering
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WORK HISTORY
Machine Learning Engineer @Whering
London, GB
Currently building and deploying a multi-stage ML image processing API, achieving ~90% accuracy through a custom pipeline and extensive prompt engineering.• Integrating open-vocabulary object detection models to improve localisation and classification accuracy within an ML pipeline.• Designing and training a bespoke multi-headed classifier to handle simultaneous prediction across multiple output categories, tailored to production data and requirements.
EDUCATION
KTH Royal Institute of Technology
Third year of MEng (year abroad), Mechanical Engineering
University of Bristol
Master of Engineering - MEng, Mechanical Engineering with a year in continental Europe
Camden School for Girls, Sixth form
A-Level, Maths, Physics, Further Maths
ABOUT EWAN BEATTIE
With three years of experience in software engineering, I’ve delivered production-grade systems in high-performance environments — including leading the development of VR medical simulations in C#. Known for quickly mastering complex systems, I’ve owned networking SDKs, led small teams, and communicated technical solutions across disciplines.I’m currently completing an intensive deep learning residency, where I’m building advanced neural architectures, fine-tuning large language models, and deploying machine learning pipelines using Python, PyTorch, FastAPI, and Docker. My focus is on backend systems and applied machine learning. I\'m looking for hands-on work where I can keep learning, ship solid code, and contribute to meaningful technical problems.
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