2 of 2 Synthetic Data Jobs in Buckinghamshire

will formulate, train and deploy machine learning models for robotic systems that perceive the world through vision and sensors, learn structured representation in data, and operate reliably in real‐world industrial environments. You’ll translate research into clean, production‐grade software that improves system performance and accelerates deployment. … reducing unnecessary complexity with scalable and reliable designs. You’ll push beyond incremental improvements by applying ideas from foundation models and generative AI, leveraging synthetic data generation, and validating results on real robots. Your work will raise the bar for capability, reliability, and speed of iteration. Responsibilities ...

think beyond incremental improvements and apply modern machine learning techniques to solve complex industrial challenges. This includes leveraging foundation models, generative AI approaches, synthetic data generation, and scalable ML infrastructure to improve robotics capability and deployment speed. A key responsibility will be developing robust neural network architectures focused … operate effectively in real time robotics applications. In addition, the Applied Scientist/ML Engineer will contribute to the design and maintenance of data pipelines covering collection, ingestion, curation, versioning, and synthetic data generation. The ability to create scalable and maintainable ML workflows will be highly valuable ...