23 of 23 Operations Research Jobs in London

Operational Research Data Scientist Wanted | FTSE 100 Operations Research | Optimisation | Decision Science | Mathematical Modelling Senior Operational Research Data Scientist (Contract) Contract: Initial 18-Month Contract Location: Hybrid - London (Can look at professionals in Europe) Rate: Excellent Day Rate IR35 Status: Inside IR35 Overview … organisation undergoing a significant transformation across its operational and decision-making capabilities. As part of this journey, we're seeking a Senior Operational Research Data Scientist to develop and deploy sophisticated optimisation and decision-support solutions that drive measurable business outcomes. This is a senior, hands-on role ...

or M Tech/MS or equivalent in Mechanical/Metallurgical/Electrical/Electronics/Computer Science/Instrumentation/Industrial Engineering/Operations Research or any other relevant discipline. Relevant experience: 2-4 years of experience Locations: Jamshedpur/Kalinga Nagar/Kolkata/Mumbai … Full Stack Developer Key Roles & Responsibilities Assume a strong sense of ownership of the product: Design, develop & deploy. Collaborate with senior management, operations & business team. Work closely with operations and infrastructure to build high scale backend services. Ensure Quality & sustainability of the architecture. Requirements B.Tech/M.Tech graduates ...

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 participation 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. Extensive experience with machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas). Ability to design experiments ...

Machine Learning and Econometrics 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 … across different areas of the business Required qualifications, capabilities, and skills PhD in a quantitative discipline, e.g. Econometrics, Finance/Accounting, Mathematics, Computer Science, Operations Research Ability to conduct literature research in unfamiliar fields Hands-on experience and solid understanding of machine learning and deep ...

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 ...

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 participation in knowledge‐sharing community. Required Qualifications, Capabilities … quantitative discipline (Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science) or an MS with significant industry or research experience. Solid background in NLP, LLM, and graph analytics plus hands‐on experience and solid understanding of machine learning and deep learning methods. Hands ...

Amazon's freight transportation network, from network design and pricing to real‐time load planning and capacity utilization. The scale of Amazon's fulfillment operations requires robust transportation networks that minimize cost while meeting all customer deadlines. Real‐time execution depends on state‐of‐the‐art optimization … Qualifications 5+ years of building machine learning models or developing algorithms for business application experience PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master’s degree and 10+ years of industry or academic research experience ...

complex technical concepts, algorithmic trade-offs, and probabilistic outputs to non-technical business partners. \n \n Nice-to-Haves: \n · Mathematical Optimisation: Background in Operations Research, with hands-on experience using optimisation solvers (e.g., Gurobi, Google OR-Tools) to solve real world problems. \n · Domain Knowledge: Prior ...

explain complex technical concepts, algorithmic trade-offs, and probabilistic outputs to non-technical business partners.\ N \nNice-to-Haves:\ N· Mathematical Optimisation: Background in Operations Research, with hands-on experience using optimisation solvers (e.G., Gurobi, Google OR-Tools) to solve real world problems.\ N· Domain Knowledge: Prior ...

ability to explain complex technical concepts, algorithmic trade-offs, and probabilistic outputs to non-technical business partners. Nice-to-Haves: Mathematical Optimisation: Background in Operations Research, with hands-on experience using optimisation solvers (e.g., Gurobi, Google OR-Tools) to solve real world problems. Domain Knowledge: Prior experience ...

demonstrate the technical effectiveness and business value of your methods. You will work alongside other scientists and engineering teams to deliver your research into production systems. About the team Our team owns Prime Video observability features for development teams. We consume PBs of data daily which feed into … machine learning models for business application Experience in applied research PhD in a relevant field (engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field), or equivalent relevant work experience Preferred Qualifications Experience using managed ML/AI solutions Experience ...

areas of the business\ N\nRequired qualifications, capabilities, and skills\ N\nPhD in a quantitative discipline, e.G. Econometrics, Finance/Accounting, Mathematics, Computer Science, Operations Research\ NAbility to conduct literature research in unfamiliar fields\ NHands-on experience and solid understanding of machine learning and deep … Cashflow statement\ NAbility to develop and debug production-quality code and solid experience in writing unit tests, integration tests, and regression tests; \nPublished research in areas of Machine Learning/Deep Learning/Reinforcement Learning OR Finance/Accounting at a major conference or journal ...

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.\ NSolid background in NLP, LLM and graph analytics and hands-on experience and solid understanding of machine learning … metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code\ NPublished research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal\ N\nAbout MLCOETheMachine Learning Center of Excellence (MCLOE ...

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\ NExtensive experiencewith machine learning and deep learning toolkits (e.G.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)\ NAbility to design experiments … metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code\ NPublished research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal\ N \n\nAbout MLCOEThe Machine Learning Center ...

machine learning and optimization models for large-scale transportation planning systems. This includes the development of dynamic pricing and network planning models to improve operations and services for our external freight customers. The Middle Mile Science group develops optimization and machine learning systems that power Amazon's freight transportation … network, from network design and pricing to real-time load planning and capacity utilization. The scale of Amazon's fulfillment operations requires robust transportation networks that minimize cost while meeting all customer deadlines. Real-time execution depends on state-of-the-art optimization and artificial intelligence to coordinate thousands ...

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 ...

HuggingFace, Langchain, and OpenAI. Hands‐on experience working with Distributed Spark based systems. Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience. Experience communicating and teaching technical concepts to non‐technical and technical audiences alike. Passion for collaboration, lifelong ...

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 ...

movement patterns, improve operational efficiency and build intelligent systems powered by real-world geographic data. You will work closely with Engineering, Product, Operational Research and Data Science teams, building scalable datasets, production-grade models and reusable data products used across the organisation. This role suits someone who enjoys ...

so the founders walk into key conversations fully prepared Coordinate UK and international travel with clear, well-structured itineraries Personal support as required Operations & Administration Help manage office operations and day-to-day logistics Coordinate suppliers, invoices, and expenses Support internal organisation across tools like Notion … Draft detailed investor materials, updates, and communications Help ensure important relationships stay warm and well managed Projects Take ownership of ad hoc projects across operations, research, and communications If something important is stuck and has no obvious owner, you'll likely end up unblocking it Profile ...

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++ ...

accessible to everyone. THE TEAM ~90 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first‐principles … Staff roles. What We’re Looking For Experience: 2–4 years experience with a mix of consulting, and start-ups; founder’s office, operations, or strategy roles in high-growth environments. Strategic Executor: Ability to take ambiguous problems, break them down, and drive toward solutions. Strong Communicator: Excellent written ...