9 of 9 Operations Research Jobs in London

Senior Operations Research Data Scientist Contract | £600-£900/day | Hybrid London We are 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 … closely with business teams, identify optimisation opportunities and make clear technical recommendations. Key requirements: * Proven experience building optimisation or simulation solutions in production* Strong operations research or mathematical optimisation background* Experience working on logistics or supply chain optimisation problems* Experience translating business problems into optimisation models* Strong ...

developing industrialised optimisation and machine learning models as part of a full-stack product squad that delivers operations decision-support software. Operational research and optimisation experience is a must have. Skills/capabilities Strong knowledge of either machine learning and optimisation techniques, incl. supervised (regression, tree methods … deliver features in a timely manner that meet business requirements Qualifications/experience Master's degree or greater in data science, ML, or operational research, or 2+ years of highly relevant industry experience (required) 0-2 years working on production ML or optimisation software products at scale (required ...

engineering - translating probabilistic outputs into something a procurement professional can act on in the moment, not just admire in a dashboard. Bridge research and engineering to ship production-grade systems. You won't be throwing models over the fence. You'll work in close collaboration with our engineering …/futures markets) and how to incorporate forward curve data Experience building real-time or near-real-time inference pipelines at scale Background in operations research or supply chain optimisation Exposure to LLMs as signal sources — extracting structured market intelligence from unstructured text ML Skills ...

containerised infrastructure (Docker/ECS) Collaborating closely with business stakeholders and contributing to roadmap and feature prioritisation What We're Looking For Strong operational research and optimisation background - this is a must Fluent Python, with hands-on experience of scikit-learn, pandas, numpy, Gurobi or similar OR packages … Experience in airline, aviation, transport, or engineering/maintenance environments is highly desirable Master's degree (or equivalent) in Data Science, ML, or Operational Research - or strong demonstrable industry experience ...

quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients. They have deep expertise in trading, technology and operations and attribute their success to rigorous scientific research. As a technology and data-driven firm, they design and build their own cutting edge systems … large scale data analysis and compute farms. With offices around the globe, they emphasize true, global collaboration by aligning their investment, technology, and operations teams functionally around the world. Building on their quantitative research platform and process-driven approach, they also runs discretionary strategies to take advantage ...

facilitated by state-of-the-art infrastructure which handles their larger trading volumes easily. Role: Using the firms automated trading framework to research and apply strategies Using progressive statistical approaches to analyse data and ascertain opportunities for trading To build upon and develop strong understanding of market structures … During market - sporadically monitoring behaviour and performance of strategies. Ideal Candidate: Quantitative background - including Master/PhD's in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics from a top University. Programming proficiency with at least one major programming or scripting language (Python, C++ ...

Location : Hybrid (London, UK) Contract Duration : Initial 612 months 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 … Conditional (must meet at least 2 of the below) Time-series modelling 2+ years Geospatial data experience (H3, GeoPandas, PostGIS or similar) Optimisation/operations research exposure Logistics/mobility/marketplace domain experience Nice to Have Reinforcement learning Simulation modelling Experience deploying models into cloud environments ...

environment) OneChronos is a technology company of diverse technologists, scientists, and market structure enthusiasts innovating at the intersection of capital markets, mechanism design, and operations research. We strive to grow global GDP by designing and operating matching markets leveraging advances in auction theory and artificial intelligence. We’re expanding … Amsterdam. This role is ideal for someone with 1-3 years of experience in financial markets, eager to develop their skills in electronic trading operations and market connectivity infrastructure. As part of our European Multilateral Trading Facility (MTF) operations team, you will play a key role in ensuring ...

design, deliver and scale production decision systems. What you will do Client leadership - Lead high-value engagements in decision intelligence and AI-enabled operations, working directly with C-suite, data leaders, and operational heads. Translate complex business problems into decision systems with measurable outcomes across areas such as pricing … culture of high-agency, high-accountability builders. What we are looking for 8+ years in decision science, data science, quantitative modelling, or operations research. Proven track record applying models in live business decision environments. Strong fluency in Python, modern ML tools, and decision optimisation frameworks. Deep understanding of statistical ...