22 of 22 Optimization Problems Jobs in England

. Excellent written and verbal communication skills. Experience with some programming language (Java/python/C++) Research experience in one or more: Combinatorial optimization problems (e.g., scheduling, vehicle routing, facility location). Continuous optimization problems (e.g., linear programming, convex programming, non-convex programming … a fast-paced applied research environment. Ability to handle ambiguity. Top tier publications pertinent to the field of study. KEY JOB RESPONSIBILITIES Solve complex optimization and machine learning problems using scalable algorithmic techniques. Design and develop efficient research prototypes that address real-world problems in … world problems, in real-world speed, while failing & learning along the way. We use modular algorithmic designs in the domain of combinatorial optimization, solving complicated generalizations of core OR problems with the right level of decomposition, employing parallelization and approximation algorithms. We use deep learning More ❯

flow equations, thermal limits, voltage limits). Design, implement, and maintain robust systems and workflows for generating large-scale synthetic datasets of power grid optimization problems based on various open-source grid models. Implement and utilize traditional optimization solvers (e.g., linear programming, mixed-integer programming, non … linear programming) to solve power grid optimization problems within our generated datasets. This may involve adapting existing solvers or developing custom solvers using libraries like Gurobi, IPOPT, etc. Maintain and contribute to our machine learning codebase, ensuring efficient data structures and seamless integration with our power system … models and optimization solvers. Participate in the deployment of trained machine learning models to cloud infrastructure, including the design and development of robust and scalable APIs for external access and integration. Design and implement rigorous unit, integration, and system tests to ensure the reliability, accuracy, and performance of our More ❯

You will need to login before you can apply for a job. Sr. Applied Scientist (Operations Research), EU Fulfillment Optimization Sector: Distribution and Warehouse, Operations and Facilities Management, Research and Development, Science and Pharmaceutical Role: Professional Contract Type: Permanent Hours: Full Time DESCRIPTION Have you ever ordered a product … designs its transportation network to scale and reliably deliver hundreds of millions of packages to customer's doorsteps? If so, Amazon's EU Fulfillment Optimization team is for you. We use mathematical models, business analytics, algorithm design and statistics to improve decision-making capabilities across Operations and Amazon Logistics. … out of the EU headquarters in Luxembourg and looking for a talented and motivated Senior Applied Scientists to innovate and enhance our outbound network optimization and management products. In this role, you will solve highly visible problems that are important for senior leaders across organizations. Key job More ❯

Business Intelligence Engineers and Business Analysts to achieve our goals. We are seeking an innovative and technically strong data scientist with a background in optimization, machine learning, and statistical modeling/analysis. This role requires a team member to have strong quantitative modeling skills and the ability to apply … optimization/statistical/machine learning methods to complex decision-making problems, with data coming from various data sources. The candidate should have strong communication skills, be able to work closely with stakeholders and translate data-driven findings into actionable insights. The successful candidate will be a … Proficiency in both Supervised (Linear/Logistic Regression) and Unsupervised algorithms (k means clustering, Principal Component Analysis, Market Basket analysis). Experience in solving optimization problems like inventory and network optimization. Should have hands on experience in Linear Programming. Work closely with internal stakeholders like the business More ❯

third party publishers; and extends across US, EU and an increasing number of international geographies. The Supply Quality organization has the charter to solve optimization problems for ad-programs in Amazon and ensure high-quality ad-impressions. We develop advanced algorithms and infrastructure systems to optimize performance … detection), security forensics and research, viewability prediction, brand safety and experimentation. Our team includes experts in the areas of distributed computing, machine learning, statistics, optimization, text mining, information theory and big data systems. We are looking for a dynamic, innovative and accomplished Applied Scientist to work on machine learning … or journals. Experience programming in Java, C++, Python or related language. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. Experience in building machine learning models for business application. PREFERRED QUALIFICATIONS Experience using Unix/ More ❯

out of the EU headquarters in Luxembourg and looking for a talented and motivated Senior Applied Scientist to innovate and enhance our outbound network optimization and management products. In this role, you will solve highly visible problems that are important for senior leaders across organizations. Key job … responsibilities We want you to solve capacity optimization problems and re-define the way we approach resource allocation. You are someone: With business acumen with strategic, analytical, and critical thinking, who can understand the business challenge and develop technical and algorithmic solutions to those problems. Who understands … s degree - Experience programming in Java, C++, Python or related language - Experience in applied research - Background in Operations Research highly desirable or experience in optimization of resource allocation - Experience in building models for business applications - Able to communicate highly complex concepts to a business audience. - Hands-on experience leading More ❯

program. What You’ll Be Doing In this role, your responsibility includes: Work alongside subject matter experts in electrification to translate complex business problems … into data science projects. Design, implement and deploy new Advanced Machine Learning solutions for problems in power demand and generation forecasting, energy optimization, and industrial flexibility management. Build relationships with the asset and technology stakeholders and help them onboard developed solutions and extract value. You will be … degree in quantitative subjects like engineering, applied mathematics, or computer science. Advanced skills in Python development. Advanced skills in time series forecasting. Experience in optimization problems in energy and industrial systems. Experience in Infrastructure as code, including deployments in AWS and Azure. Knowledge of the electric grid More ❯

scientists to develop scalable ML models and deploy them into production environments using modern MLOps practices. If you're excited about solving real-world optimization problems, building high-performance ML infrastructure, and working with autonomous agent simulations, this is your opportunity to make a significant impact. This … enhance simulation tooling and infrastructure to enable faster-than-real-time modelling of 1,000+ autonomous agents for various use cases such as fleet optimization, logistics, or robotics. Develop, deploy, and maintain machine learning models, with a strong focus on reinforcement learning (RL) and multi-agent systems to optimize … containerization and orchestration using Docker and Kubernetes. Hands-on experience with reinforcement learning frameworks such as OpenAI Gym or Stable-Baselines3. Practical knowledge of optimization algorithms and probabilistic modeling techniques (e.g., Bayesian methods, Gaussian Belief Propagation). Experience integrating models into real-time decision-making systems or multi-agent More ❯

scientists to develop scalable ML models and deploy them into production environments using modern MLOps practices. If you're excited about solving real-world optimization problems, building high-performance ML infrastructure, and working with autonomous agent simulations, this is your opportunity to make a significant impact. This … enhance simulation tooling and infrastructure to enable faster-than-real-time modelling of 1,000+ autonomous agents for various use cases such as fleet optimization, logistics, or robotics. Develop, deploy, and maintain machine learning models, with a strong focus on reinforcement learning (RL) and multi-agent systems to optimize … containerization and orchestration using Docker and Kubernetes. Hands-on experience with reinforcement learning frameworks such as OpenAI Gym or Stable-Baselines3. Practical knowledge of optimization algorithms and probabilistic modeling techniques (e.g., Bayesian methods, Gaussian Belief Propagation). Experience integrating models into real-time decision-making systems or multi-agent More ❯

want to drive the future of Amazon's transportation network by leveraging data analytics, simulations, and intelligent forecasting? Are you passionate about solving complex optimization problems with real-world impact? We are looking for a Product Manager with deep analytical expertise to develop data-driven solutions for More ❯

and/or product development experience in a regulated and high performance environment like banking or energy trading. Familiarity with Mixed Integer Programming (MIP) optimization problems and/or operations research topics. Excellent communication and stakeholder management skills, demonstrable success in building relationships across technology and business More ❯

door instantly. Duties: Design and refine models that accurately predict customer demand, providing critical insights that guide operations across the business. Tackle large-scale optimization problems to ensure stock is distributed efficiently, keeping stores and warehouses perfectly balanced. Take ownership from concept to launch—designing, building, deploying More ❯

door instantly. Duties: Design and refine models that accurately predict customer demand, providing critical insights that guide operations across the business. Tackle large-scale optimization problems to ensure stock is distributed efficiently, keeping stores and warehouses perfectly balanced. Take ownership from concept to launch—designing, building, deploying More ❯

Vulkan/OpenGL/Metal. Experience with AI and/or AI tooling in a game development context. Experience with real world node-graph optimization problems and/or Compiler problems. Compensation $85.10/hour to $251,000/year + bonus + equity + benefits. Individual More ❯

from proposed improvements Collaborate with engineers and operations leads to embed models into planning and execution Translate operational and commercial constraints into tractable optimisation problems Work with MLEs and Staff Data Scientists to productionise models and build scalable optimisation pipelines Bring a scientific lens to operational design; measure … to non-technical audiences Comfortable working across functions and disciplines to drive impact Nice to haves Experience working on routing, scheduling, or network optimisation problems Experience in fast-scaling startups or operational teams Experience in logistics, mobility, marketplaces, or other operationally complex businesses What we offer 25 days More ❯

that drive the ToffeeX engineering design software. You will collaborate with a multidisciplinary team to solve complex engineering problems, focusing on mathematical optimization, numerical methods for partial differential equations (PDEs), and computational geometry. This role offers the opportunity to work at the intersection of advanced mathematics, engineering … Responsibilities: Develop and refine mathematical models and algorithms to address complex engineering challenges, particularly those involved in multi-physics simulation and associated PDE-constrained optimization problems. Collaborate with engineers and software developers to integrate new features and improvements into our cloud-based platform, bringing value to customers. Contribute to … numerical methods for PDEs, mathematical modelling or PDE-constrained optimization. Hands-on experience in developing and implementing numerical algorithms for solving complex simulation or optimization problems. You thrive in a fast-paced, collaborative environment Desirable Skills & Experience: Research level experience developing FVM/FEM solvers for physical systems. Experience More ❯

desirable. Other Requirements Have an owner mentality: you focus on the ultimate result for the company (short and long-term growth, capital and cost optimization). Problem solving mentality: to assess, measure and analyse problems, define a relevant solution (incl. automation), review and test before implementation. Experience More ❯

what someone wants to order for dinner long before the idea has even crossed their mind? These are just some of the tough problems we are solving at Deliveroo. There is no challenge that cannot be yours; the scope for growth and personal impact is enormous. Data Scientists … managers to develop systems that make automated decisions at massive scale. The team has independence and works on some of the most interesting problems at the intersection of riders, consumers, and restaurants. We evaluate the performance of all our decision-making machines through our world-class experimentation platform. … and operational research and when they should be applied through a relevant PhD or work experience. You can translate fuzzy logistics and delivery problems or objectives into a well-thought-out algorithmic solution. You get satisfaction from seeing your algorithms shipped and driving measurable impact to the business. More ❯

Collaborating with various departments within the organisation, including product, operations, and commercial, to leverage machine learning and analytics in order to uncover opportunities for optimization Carrying out deep analysis into the core aspects of how Cleo runs to be able to fully understand the levers and propose opportunities to … production quality code in Python and SQL Experience deploying machine learning models into production Track record in payments, pricing, or other business process optimisation problems Comfortable with complexity & developing a holistic understanding of a system in order to propose & build solutions A strong ability to communicate findings to More ❯

excellent experience and fast time to value to Taktile's customers. You will work with product management to translate your knowledge of customer problems into product insights to shape Taktile's product roadmap. You will create reusable collateral, best practices & tools to help scale your knowledge and expertise … familiar with the state-of-the-art data & analytics tech stack and workflow automation platforms which help you creatively solve your customers' automation and optimization problems. Business domain expertise: You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.). Our Offer Work More ❯

excellent experience and fast time to value to Taktile's customers. You will work with product management to translate your knowledge of customer problems into product insights to shape Taktile's product roadmap. You will create re-usable collateral, best practices & tools to help scale your knowledge and … familiar with the state-of-the-art data & analytics tech stack and workflow automation platforms which helps you creatively solve your customers' automation and optimization problems. Business domain expertise: You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.). Our Offer Work More ❯

service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ The Customer Operations team provides tech-led and human support experiences for now over 10 million customers. We don … t just solve customer problems - we aim to improve customer satisfaction and product engagement by providing effortless, fast, and empathetic support. Our Operations tech team has three focus areas: Creating in-app experiences that enable customers to solve their own problems . As well as building … further the organisation's goals and strategy, bringing the right level of clarity, urgency and rigour as appropriate. Work on solving multi-faceted optimisation problems at scale, such as how to maximise the leverage of technologies like LLMs to aid human workers or how to forecast, schedule and More ❯