11 of 11 Bayesian Methods Jobs in the South East

working as a contractor in fast-paced project settings Nice to Have Experience working with large brands or multi-market models Familiarity with Bayesian MMM or advanced econometric approaches Experience with cloud data platforms or marketing analytics tools Background in retail, FMCG, tech, or financial services ...

data, or optimisation Collaborative communicator, organised, proactive, and curious Desired Skills Masters degree in ML, mathematics, or statistics Knowledge of probabilistic and Bayesian modelling Solid software-engineering principles and experience with an OO language Familiarity with cloud platforms (Azure, AWS, or GCP) and IaC tools such ...

level. Ability to write complex CTEs, window functions, and optimize joins for distributed systems. Experience with Marketing Mix Models (MMM). Understanding of Bayesian inference, Adstock transformations, and saturation curves. Useful experience Hands-on experience with at least one major DCR environment. Deep understanding of hypothesis testing ...

write complex CTEs, window functions, and optimize joins for distributed systems. Proven experience building or managing Marketing Mix Models (MMM). Understanding of Bayesian inference, Adstock transformations, and saturation curves. Useful experience Hands-on experience with at least one major DCR environment. Deep understanding of hypothesis testing ...

write complex CTEs, window functions, and optimize joins for distributed systems. Proven experience building or managing Marketing Mix Models (MMM). Understanding of Bayesian inference, Adstock transformations, and saturation curves. Useful experience Hands-on experience with at least one major DCR environment. Deep understanding of hypothesis testing ...

behavioural, transactional, and demographic data • Design and build predictive models to enhance personalized customer experiences across all channels • Collaborate on design of test & learn methods to measure CRM initiatives' effectiveness • Monitor and optimize model performance through continuous improvement cycles Technical Implementation • Transform analytical solutions into production-ready code • Implement … metrics Skills ● Relevant experience in Customer Marketing Data Science including applied statistics and machine learning techniques (supervised and unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ● Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch ...

environment. The role involves applying modelling, optimisation, and simulation techniques to improve operational efficiency and deliver production-ready solutions. Key Responsibilities Apply exploration-exploitation methods and optimisation techniques (surrogate models, Bayesian optimisation, imitation learning). Build dynamic feedback control models and stochastic simulation models. Develop and ...

Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that's reinventing … training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that's fusing AI, science, and engineering to push ...

cross-functional teams—AI Research, Data Engineering, and Robotics—to integrate models into real systems. Apply adaptive experimentation and Bayesian optimisation methods to guide data acquisition, experiment selection, or sensor-driven decision-making. Ensure engineering-grade code quality, reproducibility, and scalable deployment across compute clusters. Collaborate ...

cross-functional teams—AI Research, Data Engineering, and Robotics—to integrate models into real systems. Apply adaptive experimentation and Bayesian optimisation methods to guide data acquisition, experiment selection, or sensor-driven decision-making. Ensure engineering-grade code quality, reproducibility, and scalable deployment across compute clusters. Collaborate ...

partnered with a fast-growing research technology startup using AI to transform how organisations understand people. The business combines advanced analytics with modern research methods to deliver deeper insights, faster and at significantly lower cost than traditional research approaches. As the company launches a new AI-driven product, they … and segmentation Automate repeat analytical tasks for trackers and long-running projects Run end-to-end research projects (primarily quant; some qual/mixed methods) Contribute to proposals and RFPs About You Essential 3+ years' experience in analytics and/or research using survey data Hands-on experience with ...