Principal Machine Learning Engineer

2 days ago

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We offer one Google experience across martech, Workspace, data & AI, security and training.

Software as a Service • Google Apps • Google Search • Google Maps Consulting Services • Google Cloud Platform

201 - 500

Description

•Lead discussions with clients to understand their business problems, work with your team to design technical solutions using machine learning models •Develop and deploy machine learning models on Google Cloud •Use version control and agile working practices •Stay up-to-date with the latest developments in machine learning and bring new ideas to the team.

Requirements

•Experience as a technical lead on technical projects, ideally involving a public cloud provider •Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). •Strong grasp of statistics and probability fundamentals •Solid understanding of machine learning algorithms for supervised and unsupervised learning •Hands on experience training, deploying and optimising ML models •Strong Python and SQL skills •Experience with Cloud ML tools •Collaborative, proactive, logical, methodical, and attentive to detail •Passion for machine learning and demonstrating your ability to keep updated on the latest advancements in the industry.

Benefits

•36 days off each year including Bank Holidays (and your birthday off) •Private healthcare scheme •Company pension •Death in Service - 4x annual salary •Work from Anywhere policy (up to 90 days per year) •10 paid Learning Days each year in addition to annual leave •Flexible working culture •Company events - opportunities to meet colleagues you don’t see every day •Regular opportunities for industry recognised training and certifications •Learning and development opportunities •Opportunities to develop within a fast growing-tech business with ambitious growth and impact goals