1 to 25 of 43 Permanent Linear Programming Jobs in the UK

massive datasets, effective exploratory data analysis, and model building using industry standard time Series Forecasting techniques like ARIMA, ARIMAX, Holt Winter and formulate ensemble model. 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 teams, engineering teams and partner teams and align them with respect to your focus area. Detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion. Excellent business and communication skills More ❯

Chain, Transportation, Store and Finance. We are looking for an experienced candidate having a well-rounded technical/scientific background, and deep expertise in large-scale non-convex non-linear OR optimization (inc. stochastic), as well as forecasting (inc. probabilistic). The candidates should have an history of delivering complex scientific projects end-to-end, and is comfortable in … scalable scientific solutions via Operations Research and Machine Learning algorithms, especially in the context of stochastic customer demand and other sources of uncertainty requiring to move past deterministic and linear optimization. You will partner with other tech and science teams, operations, finance to identify opportunities to improve our processes in order to drive efficiency improvements in our Fulfillment Center … customer needs. Key job responsibilities - Build state-of-the art, robust, and scalable optimization and forecasting algorithms to drive optimal inventory placement and product flows in non-convex, non-linear, and stochastic optimization settings - Design and engineer algorithms using Cloud-based state-of-the art software development techniques - Think multiple steps ahead and develop for long term solutions while More ❯

to ensure the product we deliver aligns closely with user needs and provides value to the wider Modo team. Qualifications: 3 to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Strong quantitative skills and a proven track record of solving complex technical … problems using data analysis, machine learning, and optimization techniques. Hands-on experience with cloud environments (e.g., AWS) for deploying data science models. Proven experience with optimisation using linear programming with a preference for Python-based implementations. Proven ability to produce data science models and insights that are directly delivered to external customers, with a track record of handling More ❯

to ensure the product we deliver aligns closely with user needs and provides value to the wider Modo team. Qualifications: 3 to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). A degree in a quantitative field such as mathematics, engineering, computer science … complex technical problems using data analysis, machine learning, and optimization techniques. Hands-on experience with cloud environments (e.g., AWS) for deploying data science models. Proven experience with optimisation using linear programming with a preference for Python-based implementations. Proven ability to produce data science models and insights that are directly delivered to external customers, with a track record More ❯

to ensure the product we deliver aligns closely with user needs and provides value to the wider Modo team. Qualifications: 3 to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). A degree in a quantitative field such as mathematics, engineering, computer science … complex technical problems using data analysis, machine learning, and optimization techniques. Hands-on experience with cloud environments (e.g., AWS) for deploying data science models. Proven experience with optimisation using linear programming with a preference for Python-based implementations. Proven ability to produce data science models and insights that are directly delivered to external customers, with a track record More ❯

engineering on large datasets, conduct exploratory data analysis, and build models using time series forecasting techniques such as ARIMA, ARIMAX, Holt Winter, and ensemble methods. Apply supervised learning algorithms (linear/logistic regression) and unsupervised algorithms (k-means, PCA, market basket analysis). Solve optimization problems related to inventory and network optimization, with hands-on experience in linear … CS, Math, ML, Stats, Operations Research). Proficiency in Python, R, or similar scripting languages; experience with SQL, MySQL, and databases. Expertise in machine learning, statistics, and optimization, including linear programming. Experience with statistical measures such as hypothesis testing, confidence intervals, and error analysis. Excellent communication skills for technical and non-technical audiences. Preferred additional skills include experience with More ❯

week as per our hybrid working policy. Key Responsibilities Data Science & Software Development Craft and refine predictive models using a diverse array of methods, including but not limited to linear programming, heuristic algorithms, and machine learning techniques. Solve complex problems using statistical techniques and data analysis. Stay abreast of current research and integrate relevant findings into your work. More ❯

week as per our hybrid working policy. Key Responsibilities Data Science & Software Development Craft and refine predictive models using a diverse array of methods, including but not limited to linear programming, heuristic algorithms, and machine learning techniques. Solve complex problems using statistical techniques and data analysis. Stay abreast of current research and integrate relevant findings into your work. More ❯

order to hit our strategic goals. These are the problem spaces in our backlog: Recommendation systems - predicting cross-sell opportunities Imbalanced classification - predicting the value of leads Optimisation (e.g., Linear programming) - optimising which leads/products we sell to which client Forecasting - predicting client demand Experimentation You will be communicative, commercially-minded, with a strong team-spirit. You … years of experience in a dedicated Data Science/Machine Learning role; additional data or commercial experience is a plus Strong understanding of mathematical background, focusing on statistics and linear algebra Highly proficient in Python (Pandas, Scikit-Learn, PyTorch, PySpark) and SQL Experience with Snowflake (function & procedure) and Snowpark is a plus Experience with unit and integration tests Strong More ❯

teams that develop and deploy complex descriptive and predictive algorithms. Working knowledge of statistical techniques (e.g., time series analysis, multivariate analysis, forecasting) and/or mathematical optimisation methods (e.g., linear programming, constraint programming, heuristic approaches). Experience working in cross-functional teams and projects. Proven ability to deliver presentations to senior audiences, with the flexibility to adapt More ❯

teams that develop and deploy complex descriptive and predictive algorithms. Working knowledge of statistical techniques (e.g., time series analysis, multivariate analysis, forecasting) and/or mathematical optimisation methods (e.g., linear programming, constraint programming, heuristic approaches). Experience working in cross-functional teams and projects. Proven ability to deliver presentations to senior audiences, with the flexibility to adapt More ❯

teams that develop and deploy complex descriptive and predictive algorithms. Working knowledge of statistical techniques (e.g., time series analysis, multivariate analysis, forecasting) and/or mathematical optimisation methods (e.g., linear programming, constraint programming, heuristic approaches). Experience working in cross-functional teams and projects. Proven ability to deliver presentations to senior audiences, with the flexibility to adapt More ❯

will lead a growing group of data scientists focused on solving real-world operational challenges. Your team will design and deploy advanced models, applying advanced mathematical optimisation techniques (e.g., Linear Programming , Scheduling , Graph Theory ) to complex business problems, with the goal of improving supply chain efficiency, optimise vehicle movement, and enhance operational workflows across the organisation. You’ll … optimisation, logistics, and refurbishment strategy. Define and deliver a product roadmap that solves key operational pain points through data science and algorithmic innovation. Apply advanced mathematical optimisation techniques (e.g., Linear Programming , Scheduling , Graph Theory ) to complex business problems. Work cross-functionally with senior stakeholders to translate business requirements into scalable technical solutions. Collaborate with MLOps and Engineering teams More ❯

will lead a growing group of data scientists focused on solving real-world operational challenges. Your team will design and deploy advanced models, applying advanced mathematical optimisation techniques (e.g., Linear Programming , Scheduling , Graph Theory ) to complex business problems, with the goal of improving supply chain efficiency, optimise vehicle movement, and enhance operational workflows across the organisation. You’ll … optimisation, logistics, and refurbishment strategy. Define and deliver a product roadmap that solves key operational pain points through data science and algorithmic innovation. Apply advanced mathematical optimisation techniques (e.g., Linear Programming , Scheduling , Graph Theory ) to complex business problems. Work cross-functionally with senior stakeholders to translate business requirements into scalable technical solutions. Collaborate with MLOps and Engineering teams More ❯

will lead a growing group of data scientists focused on solving real-world operational challenges. Your team will design and deploy advanced models, applying advanced mathematical optimisation techniques (e.g., Linear Programming , Scheduling , Graph Theory ) to complex business problems, with the goal of improving supply chain efficiency, optimise vehicle movement, and enhance operational workflows across the organisation. You’ll … optimisation, logistics, and refurbishment strategy. Define and deliver a product roadmap that solves key operational pain points through data science and algorithmic innovation. Apply advanced mathematical optimisation techniques (e.g., Linear Programming , Scheduling , Graph Theory ) to complex business problems. Work cross-functionally with senior stakeholders to translate business requirements into scalable technical solutions. Collaborate with MLOps and Engineering teams More ❯

Git, SQL, and common Python data science libraries (like pandas/polars, scikit-learn, xgboost/lightGBM, and TensorFlow/PyTorch). Bonus points if you've worked with linear programming, or have experience in time series forecasting, agent-based modelling, and space allocation optimisation. You'll have a proven ability to work with cross-functional teams and More ❯

Role Overview The Optimization and ML Product Manager will lead the development and enhancement of AI-powered optimization and machine learning (ML) capabilities. This role requires expertise in mathematical programming (linear and quadratic programming), machine learning models, and solver technologies to create advanced decision-support solutions for enterprise customers. This position demands a combination of technical depth … Performance Monitoring and Continuous Improvement: Establish and track KPIs for model accuracy, scalability, and efficiency. Iterate on product features to enhance solver performance based on data-driven insights. Mathematical Programming and Solver Integration: Develop and integrate linear and quadratic programming solutions into Anaplan’s platform, working with solvers like Gurobi and other mathematical engines. Your Qualifications Master … Proven experience in product management for optimization and/or ML solutions. Strong track record in developing and deploying advanced analytics and enterprise ML products. Expertise in Mathematical Optimization: linear programming (LP), quadratic programming (QP), and mixed-integer programming (MIP). Proficiency in Machine Learning models, including time-series forecasting, clustering, random forest, and deep learning. More ❯

of probability and statistics Desirable Skills Additional expertise in the following areas is a plus: European power markets (Germany, Italy, Spain) Advanced numerical methods (time-series analysis, machine learning, linear programming, stochastic optimization) Developing and maintaining mission-critical software Operational environment experience Job Benefits Salary: GBP 110,000 - GBP 130,000 Includes participation in an employee share scheme More ❯

have expertise in a subset of the following: Multiple European power markets (especially Germany, Italy, and/or Spain) Advanced numerical methods such as time-series analysis, machine learning, linear programming, or stochastic optimisation/modelling Developing, deploying, and maintaining mission-critical software Working in an operational environment Job Benefits Salary: £110,000 - £130,000 We're offering More ❯

Research, Machine Learning, Statistics, Applied Mathematics, Computer Science or other field related to algorithms and data (or equivalent experience). * 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). Preferred qualifications * Experience from working in 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 … peer-reviewed conferences or journals - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience programming in Java, C++, Python or related language - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunities employer. We believe passionately that employing a More ❯

trading strategies and underlying technical infrastructure. The role requires strong Python and mathematical skills, along with the ability to deliver robust code that will run our strategies. From a programming perspective, the role offers numerous exciting challenges to solve and learn from, including performance optimization when dealing with large volumes of data, building cloud-native applications, and developing versatile … range would you be seeking if you were successful in this recruitment process? * Do you have at least two years of experience in coding with Rust and working on linear programming problems? * #J-18808-Ljbffr More ❯

Natural Language Processing, Computer Vision, or Deep Learning PREFERRED QUALIFICATIONS • Previous technical internship(s) if applicable • Experience with distributed, multi-tiered systems, algorithms, and relational databases • Experience such as linear programming and nonlinear optimisation • Ability to effectively articulate technical challenges and solutions • Adept at handling ambiguous or undefined problems as well as ability to think abstractly • Experience with More ❯

optimisation, logistics, and refurbishment strategy. Define and deliver a product roadmap that solves key operational pain points through data science and algorithmic innovation. Apply advanced mathematical optimisation techniques (e.g., Linear Programming , Scheduling , Graph Theory ) to complex business problems. Work cross-functionally with senior stakeholders to translate business requirements into scalable technical solutions. Collaborate with MLOps and Engineering teams More ❯

of the Electricity Control Centre (ENCC). Work with cross-functional teams (engineering, IT, business) in an Agile environment. What You Will Ideally Bring: Expertise in Operations Research, especially Linear Programming (LP), Quadratic Programming (QP), and Mixed Integer Programming (MILP, MIQP, MIQCP). Proficient with Gurobi Optimizer (or equivalent like CPLEX, CBC). Understanding of electricity More ❯

months ago or about to complete a Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or related fields at time of application. - Although no specific programming language is required – you should be familiar with the syntax of languages such as Java, C/C++, or Python. - Knowledge of Computer Science fundamentals such as object-oriented design … problem solving and complexity analysis. PREFERRED QUALIFICATIONS - Previous technical internship(s) if applicable. - Experience with distributed, multi-tiered systems, algorithms, and relational databases. - Experience in optimization mathematics such as linear programming and nonlinear optimisation. - Ability to effectively articulate technical challenges and solutions. - Adept at handling ambiguous or undefined problems as well as ability to think abstractly. Amazon is More ❯