Operations Research Jobs in Edinburgh

2 of 2 Operations Research Jobs in Edinburgh

Sr. Applied Scientist, Last Mile Science

Edinburgh, United Kingdom
Amazon
strategic, data-driven decisions that shape the future of last-mile delivery. Your work will directly influence customer experience and operational excellence. The ideal candidate will possess both research science capabilities and program management skills, thriving in an environment that requires independent decision-making and comfort with ambiguity. This role offers the opportunity to make a significant impact … or Perl Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field 15+ years of relevant, broad research experience Deep expertise in Machine Learning Proficiency in programming Core competency in More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

Applied Science Manager, Traffic Quality ML

Edinburgh, Scotland, United Kingdom
Amazon
an engineering team that works on handling terabyte scale data and implementing features and algorithms that process billions of events per day. You will interface with product managers and operations teams to bring key advertising initiatives to customers. Your strong management skills will be utilized to help deliver critical projects that cut across organization structures and meet key business … malware detection. Identify how these can be rolled into building an industry leading solution for Amazon advertising BASIC QUALIFICATIONS - A MS in CS focused on Machine Learning, Statistics, Operational research or in a highly quantitative field - 5+ years of hands-on experience in big data, machine learning and predictive modeling - 3+ year people management and cross department functional … e-commerce, fraud/risk assessment, or an enterprise software company building and providing analytics or risk management services and software. - Ph.D. degree in in Statistics, CS, Machine Learning, Operations Research or in a highly quantitative field. - Knowledge of distributed computing and experience with advanced machine learning libraries like Spark MLLib, Tensorflow, MxNet, etc. - Strong publication record More ❯
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