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 »
convey complex technical information to non-technical audiences Ideally you will have experience with TensorFlow and have had exposure to Gaussian Processes (GPFlow, Bayesian Optimisation or Trieste What's in it for you: Competitive salary - to £90k Private Health Care Life Assurance Up to 6% employer pension more »
technical lead for junior team members on specific work packages Knowledge of techniques such as regression analysis, design of experiments, time series modelling, Bayesianstatistics, extreme value analysis, and set up and analysis of computational experiments Knowledge of machine learning including deep learning techniques Be a member more »
london, south east england, United Kingdom Hybrid / WFH Options
Builder.ai
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 »
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 »
rate for the right candidate. Hybrid working model - 3 days in office Highly experienced in Python and SQL - as well as time series & bayesian modelling. Background in STEM Financial Services experience needed This role will need applicants to start ASAP. Ready for your next contract? Get in more »
london, south east england, United Kingdom Hybrid / WFH Options
Saragossa
rate for the right candidate. Hybrid working model - 3 days in office Highly experienced in Python and SQL - as well as time series & bayesian modelling. Background in STEM Financial Services experience needed This role will need applicants to start ASAP. Ready for your next contract? Get in more »
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 »