26 to 50 of 141 Operations Research Jobs in the UK

Join a pioneering team at the forefront of systematic trading innovation. The Quantitative Trading & Research (QTR) group is responsible for systematic trading across FX, Rates, Commodities, Credit, Equity and a wide range of markets. Within QTR, AI Market Lab brings together quantitative research, modern artificial intelligence … serving components with ML infrastructure engineers.Required Qualifications, Capabilities, and SkillsAdvanced degree (Master’s, PhD, or equivalent experience) in machine learning, computer science, statistics, mathematics, operations research, engineering, or a related quantitative field.Demonstrated experience pre-training a large model from scratch (Transformer/LLM/multimodal/time ...

Join a pioneering team at the forefront of systematic trading innovation. The Quantitative Trading & Research (QTR) group is responsible for systematic trading across FX, Rates, Commodities, Credit, Equity and a wide range of markets. Within QTR, AI Market Lab brings together quantitative research, modern artificial intelligence … serving components with ML infrastructure engineers.Required Qualifications, Capabilities, and SkillsAdvanced degree (Master’s, PhD, or equivalent experience) in machine learning, computer science, statistics, mathematics, operations research, engineering, or a related quantitative field.Demonstrated experience pre-training a large model from scratch (Transformer/LLM/multimodal/time ...

transform data into actionable intelligence, ensuring mission success in an evolving world. Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring, enabling … most pressing challenges in national security. Role This role is for a Data Scientist on a close-knit team supporting Air Force Special Operations Command (AFSOC) at RAF Mildenhall, UK. This team is at the center of helping the command empower and leverage its data for more effective analysis ...

transform data into actionable intelligence, ensuring mission success in an evolving world. Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring, enabling … most pressing challenges in national security. Role This role is for a Data Scientist on a close-knit team supporting Air Force Special Operations Command (AFSOC) at RAF Mildenhall, UK. This team is at the center of helping the command empower and leverage its data for more effective analysis ...

management Statistical analysis and predictive modelling AI-enabled analytics and automation solutions Qualifications Qualification in a Highly Numerate Subject (e.g. Computer Science, Operational Research, Statistics, Mathematics, Engineering, or Economics) or equivalent experience Ideally, You'll Also Have Experience of financial, operational, and commercial reporting and relevant performance metrics ...

throughput, model or component reuse, forecast quality, adoption, control effectiveness, and business value. Governance, Partnership & Culture Coordinate with Data & AI, architecture, cyber, infrastructure, risk, operations, legal, compliance, and vendor teams where products depend on shared platforms or require specialist review. Represent quantitative product priorities in Investment Technology, Data … case governance forums, providing transparent rationale for roadmap and investment decisions. Build trusted relationships with investment team members, quantitative engineers, risk professionals, and operations teams across regions. Education & Qualifications: Bachelor's degree required; advanced degree preferred. Quantitative discipline such as mathematics, statistics, engineering, computer science, economics, operations research ...

data-backed recommendations. Consolidate inputs from scientific, clinical, regulatory, commercial, finance and technology stakeholders into a coherent portfolio view. Collaboration & enablement Partner across development, operations, finance and technology teams to align on assumptions, data and methods. Set analytical standards and mentor and guide analysts; champion best practice … advanced analytics to accelerate and strengthen analysis. Basic Qualifications Bachelor’s degree in a quantitative field (engineering, computer science, mathematics, economics, operations research, finance ) or life sciences with specific quantitative experience. Demonstrated experience in financial & operational modelling, valuation, investment analysis, decision science or a related area field. ...

optimisation models in the ODS software product suite. The Data Scientist is in charge of modelling and robust implementation of features contributing to an operations decision‐support product. In developing a product’s core algorithm, the full‐stack Data Scientist role ensures that features integrate seamlessly into the product … business process and use case. Required Skills Strong knowledge of machine learning and optimisation techniques, including supervised (regression, tree methods, etc.), unsupervised (clustering), and operations research (linear, mixed integer programming, heuristics) Fluent in Python (required) and other programming languages (preferred) with strong skills in applying ...

tweak them or derive from them to achieve similar results at large-scale. Some traveling is expected. Responsibilities: Lead the research, design, implementation, and deployment of machine learning algorithms, intelligent agents, and optimisation solutions for enterprise applications leveraging the C3 AI Suite. Assist and enable … customer teams to seek, understand, validate, interpret, and correctly use new data elements. Qualifications: MS or PhD in Computer Science, Electrical Engineering, Statistics, Operations Research, or a related field. Applied AI experience (generative AI, agentic solutions, regression and classification, supervised, and unsupervised learning). Strong mathematical background ...

revenue forecasting, and cost optimisation Test rigorously through simulations, backtests, shadow testing, and A/B experiments to quantify real‐world impact Conduct research on airline commercial problems and emerging industry dynamics Translate insights into action by presenting findings and recommendations to business stakeholders and subject matter experts … right in. Requirements of the Role What We're Looking For Essential Qualifications Degree in statistics, data science, econometrics, quantitative economics, operations research, mathematics, or related field 2+ years of experience in commercial analytics, algorithm development, or applied statistical/machine learning modelling Proficiency ...

revenue forecasting, and cost optimisation Test rigorously through simulations, backtests, shadow testing, and A/B experiments to quantify real-world impact Conduct research on airline commercial problems and emerging industry dynamics Translate insights into action by presenting findings and recommendations to business stakeholders and subject matter experts … right in. Requirements of the Role What We're Looking For Essential Qualifications Degree in statistics, data science, econometrics, quantitative economics, operations research, mathematics, or related field 2+ years of experience in commercial analytics, algorithm development, or applied statistical/machine learning modelling Proficiency ...

languages (such as Python, R, SQL).Experience presenting to non-technical audiences. Preferred qualifications: PhD in a quantitative fields such as Statistics, Mathematics, Economics, Operations Research, Data Science. Experience in advanced marketing measurement methodologies (e.g., conversion lift, geo-experiments, Media Mix Modeling, brand lift studies ...

relevant analytical fields, their associated methods, and their potential for application within healthcare, including advanced statistics, epidemiology, data science, econometrics, and operational research Expert knowledge of the role of analysis in improving decision quality and be capable of supporting advanced decision-making methods (e.g. multicriteria decision analysis) Expert ...

such as Python, R, SQL). Experience presenting to non-technical audiences. Preferred qualifications: PhD in a quantitative fields such as Statistics, Mathematics, Economics, Operations Research, Data Science. Experience in advanced marketing measurement methodologies (e.g., conversion lift, geo-experiments, Media Mix Modeling, brand lift studies ...

such as Python, R, SQL). Experience presenting to non-technical audiences. Preferred qualifications: PhD in a quantitative fields such as Statistics, Mathematics, Economics, Operations Research, Data Science. Experience in advanced marketing measurement methodologies (e.g., conversion lift, geo-experiments, Media Mix Modeling, brand lift studies ...

such as Python, R, SQL). Experience presenting to non-technical audiences. Preferred qualifications: PhD in a quantitative fields such as Statistics, Mathematics, Economics, Operations Research, Data Science. Experience in advanced marketing measurement methodologies (e.g., conversion lift, geo-experiments, Media Mix Modeling, brand lift studies ...

Latham & Watkins LLP is seeking a Research Services Manager – Operations, AI Platforms for its London office. The role leads evaluation, testing, and implementation of AI-powered research platforms, coordinating pilot programs and gathering feedback to drive adoption. Responsibilities include coordinating vendor due diligence, working with … Security & Risk Management, and serving as the operational liaison across Research Services, Innovation & AI, and TI teams. #J-18808-Ljbffr ...

Deep Learning with hands‐on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. Job Responsibilities Research and explore new machine learning methods through independent study, attending industry‐leading conferences, experimentation and participating in our knowledge sharing community Develop state … Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience in the field Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit‐Learn, Pandas) Ability to design ...

Drive Firm‐wide initiatives by developing large‐scale frameworks to accelerate the application of machine learning models across different areas of the business Research and explore new machine learning methods through independent study, attending industry‐leading conferences, experimentation and participating in our knowledge sharing community Required qualifications, capabilities … e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science or an MS with significant years of industry or research experience in the field Solid background in NLP, LLM and graph analytics and hands‐on experience and solid understanding of machine learning ...

Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community Required qualifications, capabilities … e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with significant years of industry or research experience in the field. Solid background in NLP, LLM and graph analytics and hands-on experience and solid understanding of machine learning ...

opportunities to develop in these areas will also be provided: Demonstrable technical specialism in one of the following: Data Science, Machine Learning, Optimisation, Operations Research, Statistics, AI Engineering. Leveraging latest AI and Agentic tooling to assist in all stages of the development lifecycle Experience in building data ...

solid expertise in Deep Learning with hands‐on implementation experience, strong analytical thinking, a deep desire to learn and high motivation. Job Responsibilities Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community Develop state … e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with significant years of industry or research experience in the field. Solid background in NLP, LLM and graph analytics and hands‐on experience and solid understanding of machine learning ...

influence decisions through structured, data-backed recommendations Consolidate scientific, clinical, regulatory, commercial, finance and technology inputs into a coherent portfolio view Partner across development, operations, finance and technology teams to align assumptions, data and methods Set analytical standards, mentor and guide analysts, and champion responsible … advanced analytics Requirements Bachelor’s degree in a quantitative field (engineering, computer science, mathematics, economics, operations research, finance) or life sciences with specific quantitative experience Demonstrated experience in financial and operational modelling, valuation, investment analysis, decision science or a related field Demonstrated expertise translating data science insights ...

Director of Health Data Research This is a rare opportunity to build and scale a new commercial research function at the intersection of healthcare, data, AI, and life sciences. You will lead the development of strategic research partnerships, helping to unlock the value … data-driven offerings for life sciences and healthcare markets Navigate regulatory and market considerations to identify new partnership opportunities Work closely with data, product, operations, and leadership teams to bring research programmes to life Lead and develop a small Research Partnerships team, including specialist programme ...

e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with significant years of industry or research experience in the field.Solid background in NLP, LLM and graph analytics and hands-on experience and solid understanding of machine learning and deep …/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality codePublished research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journalAbout MLCOEThe Machine Learning Center of Excellence (MCLOE) team ...