Lead Machine Learning Engineer [Only 24h Left]

My Client are looking for a lead machine learningengineer, someone who had experience leading a team working a lotwith AI and machine learning. The job is very remote with once amonth visit to the office in London, it is paying a great salarywith a bonus and package on top., What's the job - Lead theimplementation of data science projects and data science approachesto support commercial goals - Develop a highly proficient team ofMachine Learning Engineers, establishing collaborative ways ofworking - Collaborate with tech, product and data teams to developthe data platforms that allow us to apply data science and embedthe use of data science directly in our products and processes -Support diverse teams in translating between business and data inthe design of project work, and in the synthesis and communicationof recommendations and results - Be a champion and role model forthe application of data science across the group - Support the dataleadership team in developing a “data culture” and demonstratingthe value of data in our decision making - Lead our efforts todevelop the data science (and broader customer analytics) “brand”for both internal and external audiences What you'll bring - Provenexperience delivering high-quality AI-based products andproductionisation of Machine Learning based products - Provenexperience developing cloud-based machine learning services usingone or more cloud providers (preferably GCP) - Excellentunderstanding of classical Machine Learning algorithms (e.g.Logistic Regression, Random Forest, XGBoost, etc.) and modern DeepLearning algorithms (e.g. BERT, LSTM, etc.) - Strong knowledge ofSQL and Python's ecosystem for data analysis (Jupyter, Pandas,Scikit Learn, Matplotlib) - Strong software development skills(Python is the preferred language) - Proven experience in deployingML/AI services suing Kubernetes & KubeFlow - Strong managementand leadership skills – previous experience managing a team -Strong influencing, communication and stakeholder managementskills