5 of 5 Remote/Hybrid Optimization Problems Jobs in London

closely with data engineers, understanding their workflows and collaborating to take models from ideation all the way into production environments. Craft and define optimisation problems from scratch: decision spaces, constraints, objective functions. Use strong data visualisation and communication skills to influence stakeholders at all levels. Partner with operational ...

closely with data engineers, understanding their workflows and collaborating to take models from ideation all the way into production environments. Craft and define optimisation problems from scratch: decision spaces, constraints, objective functions. Use strong data visualisation and communication skills to influence stakeholders at all levels. Partner with operational ...

Rate : Competitive Why this role? Real-World Impact: Build models that directly influence live fleet operations Applied ML Focus: Time-series, geospatial data, optimisation problems Complex Systems: High-volume, real-time operational data Autonomy: End-to-end ownership from modelling to deployment About the Role We are recruiting ...

Rate : Competitive Why this role? Real-World Impact: Build models that directly influence live fleet operations Applied ML Focus: Time-series, geospatial data, optimisation problems Complex Systems: High-volume, real-time operational data Autonomy: End-to-end ownership from modelling to deployment About the Role We are recruiting ...

working with a major international transport and operations organisation building out a central AI and Data Science capability focused on solving complex operational optimisation problems across multiple business units. This is a hands-on contract role focused on delivering real optimisation solutions that directly impact large-scale operations. … work centres around logistics, resource allocation and supply chain optimisation problems where the goal is to improve operational efficiency and reduce disruption across a distributed operational network. Typical problem areas include optimisation of resource allocation, logistics planning and operational decision-making. One example use case involves optimising ...