8 of 8 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 ...

challenges within a large and complex operational environment. You will be joining a central Data and AI team that is solving real operational problems at scale, with your work directly influencing critical decision making and efficiency across the organisation. The Company They are an international organisation with extensive ...

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 ...

trip outcomes) and evaluate them using operational business metrics Partner with operations and senior team members to translate operational challenges into measurable ML problems and propose appropriate modelling approaches Engineer features, analyse large datasets using Python and SQL, and identify useful external data sources Design and support experiments … advanced modelling approaches (e.g. neural networks, optimisation, or reinforcement learning) Nice to Have Experience with time-series or geospatial datasets, experimentation or optimisation problems Experience in logistics, marketplaces, mobility systems, ride-hailing or autonomous vehicle ecosystems Why This Role Is Different Your models affect physical movement ...

reduce disruption across the organisation. The Role and Deliverables * Build production ready optimisation or simulation models in Python. * Take ownership of operational optimisation problems from framing through to delivery. * Translate stakeholder requirements into structured optimisation approaches. * Develop solutions focused on logistics planning, supply chain optimisation and resource allocation. … environments. * Solid background in operations research or mathematical optimisation. * Experience working on logistics, supply chain or resource allocation problems. * Ability to convert business problems into practical optimisation models. * Advanced Python modelling skills. * Confident engaging with operational stakeholders. How to Apply If this contract sounds like a strong ...