Manchester, England, United Kingdom Hybrid / WFH Options
Roku
training with batch and real-time prediction scenarios: Use machine learning and statistical modeling techniques such as Reinforcement Learning,Decision Trees, Logistic Regression, Bayesian Analysis, Neural Networksand others to develop and evaluate algorithms to improve product/system performance, quality and accuracy Low level systems debugging more »
a client-friendly manner. Experience: Experience in a similar role within a Media Agency environment, delivering MMM and attribution model projects. Proficiency in Bayesianand linear regression approaches; familiarity with other machine learning techniques is advantageous. Extensive experience in data mining and analysis, including designing methodologies to more »
process monitoring Developing soft sensors based on PLS and neural net models to predict slurry particle size and viscosity Implementing Bayesianmethodsand/or state-of-the-art methods for optimising the Design of Experiments approach. Working with clients to increase their sustainability footprint more »
knowledge in a dynamic work environment. Desirable Experience: Hands-on experience with computational models that simulate cellular disruptions. Knowledge of Bayesianmethodsand proactive machine learning techniques. Practical experience in developing AI-driven generative models, particularly those involving transformer architectures. A demonstrated passion for research into more »