My Client is looking for a lead machine learning engineer, someone who has experience leading a team working a lot with AI and machine learning. The job is very remote with once a month visit to the office in London. It offers a great salary with a bonus and package on top.
What's the job
Lead the implementation of data science projects and data science approaches to support commercial goals. Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working. Collaborate with tech, product, and data teams to develop the data platforms that allow us to apply data science and embed the use of data science directly in our products and processes. Support diverse teams in translating between business and data in the design of project work, and in the synthesis and communication of recommendations and results. Be a champion and role model for the application of data science across the group. Support the data leadership team in developing a “data culture” and demonstrating the value of data in our decision-making. Lead our efforts to develop the data science (and broader customer analytics) “brand” for both internal and external audiences.
What you'll bring
Proven experience delivering high-quality AI-based products and productionisation of Machine Learning based products. Proven experience developing cloud-based machine learning services using one or more cloud providers (preferably GCP). Excellent understanding of classical Machine Learning algorithms (e.g., Logistic Regression, Random Forest, XGBoost, etc.) and modern Deep Learning algorithms (e.g., BERT, LSTM, etc.). Strong knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib). Strong software development skills (Python is the preferred language). Proven experience in deploying ML/AI services using Kubernetes & KubeFlow. Strong management and leadership skills - previous experience managing a team. Strong influencing, communication, and stakeholder management skills.
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What's the job
Lead the implementation of data science projects and data science approaches to support commercial goals. Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working. Collaborate with tech, product, and data teams to develop the data platforms that allow us to apply data science and embed the use of data science directly in our products and processes. Support diverse teams in translating between business and data in the design of project work, and in the synthesis and communication of recommendations and results. Be a champion and role model for the application of data science across the group. Support the data leadership team in developing a “data culture” and demonstrating the value of data in our decision-making. Lead our efforts to develop the data science (and broader customer analytics) “brand” for both internal and external audiences.
What you'll bring
Proven experience delivering high-quality AI-based products and productionisation of Machine Learning based products. Proven experience developing cloud-based machine learning services using one or more cloud providers (preferably GCP). Excellent understanding of classical Machine Learning algorithms (e.g., Logistic Regression, Random Forest, XGBoost, etc.) and modern Deep Learning algorithms (e.g., BERT, LSTM, etc.). Strong knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib). Strong software development skills (Python is the preferred language). Proven experience in deploying ML/AI services using Kubernetes & KubeFlow. Strong management and leadership skills - previous experience managing a team. Strong influencing, communication, and stakeholder management skills.
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