at least three of the following areas: Generative AI, Supervised and Unsupervised Learning, Deep Learning, Computer Vision, Recommendation Systems, Knowledge Graphs, Probabilistic Inference, BayesianStatistics, Reinforcement Learning. Strong industry experience, with a focus on taking concepts and models from conception to production and quantifying business impact. Proficiency 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 »
Matlab, and/or SQL.Experience using Machine Learning (ML) techniques.Self-starter with ability to work autonomously in an unstructured environment.Bonus skills:Experience with Bayesian analysis.We expect to pay from 70,000 - 100,000 for this role. But, we’re open-minded, so definitely include your salary goals 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 »
