14 of 14 Remote Linear Programming Jobs in the UK

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

the Electricity National 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 ❯

be able to transform variables for data analysis. Understand the concepts of multivariable identification and proficiently execute data analysis for large scope problems. Deep knowledge of multivariable control concepts, linear programming, and LP cost calculations. Deep knowledge of concepts of closed loop control (computer, DCS, PID control, MVC tuning concept). Able and willing to travel at least More ❯