2 of 2 Optimization Problems Jobs in Central London

operates on a unique bid-based pricing model , where prices are shaped through direct negotiation between riders and drivers. This creates a fundamentally different optimization problem, requiring advanced approaches to modeling user behavior, incentives, and marketplace dynamics. Key Responsibilities Design and improve dynamic pricing policies, including elasticity and supply … collaboration with engineering, ensuring scalability and robustness Monitor system performance, including stability, feedback effects, and long-term behavior Contribute to methodological choices (e.g., optimization, control, RL-inspired approaches) Skills, Knowledge and Expertise 3+ years of experience in Data Science, Applied Research, or algorithmic product optimization, preferably in marketplaces ...

model enablement infrastructure, and help shape the next phase of our hardware‐software roadmap. The role sits at the intersection of machine learning, model optimization, compiler/toolchain development, and hardware‐aware deployment. The ideal candidate brings deep experience building practical inference systems, understands the realities of deploying large … model‐ingestion tooling needed to support a broad model zoo on RAP1 and future platforms. Develop and scale robust quantization‐aware training and model optimization infrastructure. Port, optimize, validate, and benchmark machine learning models for deployment on hardware accelerators and NPU‐class architectures. Improve performance across memory, scheduling, sparsity ...