methods and machinelearning - Experience in building machinelearning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, SparkMLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - PhD Amazon is an equal opportunities employer. We believe passionately that employing a diverse More ❯
methods and machinelearning Experience in building machinelearning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, SparkMLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce More ❯
programming in Java, C++, Python or related language. Experience with neural deep learning methods and machine learning. PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, SparkMLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If More ❯
verbal and written communication skills. Experience working with real-world data sets and building scalable models from big data. Experience with modeling tools such as R, scikit-learn, SparkMLLib, MxNet, Tensorflow. Experience with large-scale distributed systems. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace More ❯
communication skills Experience working with real-world data sets and building scalable models from big data Experience with modern modeling tools and frameworks such as R, scikit-learn, SparkMLLib, MxNet, Tensorflow Experience with large scale distributed systems Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace More ❯
methods and machinelearning - Experience in building machinelearning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, SparkMLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. #J-18808-Ljbffr More ❯
Python or related language Experience with neural deep learning methods and machinelearning Experience with prompting techniques for LLMs Experience with modeling tools such as R, scikit-learn, SparkMLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. PhD in math/statistics/engineering or other equivalent quantitative discipline Experience with More ❯
programming in Java, C++, Python or related language - Experience with neural deep learning methods and machinelearning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, SparkMLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If More ❯
methods and machinelearning - Experience in building machinelearning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, SparkMLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce More ❯
PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus More ❯
methods and machinelearning Experience in building machinelearning models for business applications Experience in applied research PREFERRED QUALIFICATIONS: Experience with modeling tools such as R, scikit-learn, SparkMLLib, MxNet, TensorFlow, NumPy, SciPy, etc. Experience with large-scale distributed systems such as Hadoop, Spark, etc. #J-18808-Ljbffr More ❯
methods and machinelearning - Experience in building machinelearning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, SparkMLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce More ❯
software. Ph.D. degree in Statistics, CS, MachineLearning, Operations Research or in a highly quantitative field. Knowledge of distributed computing and experience with advanced machinelearning libraries like SparkMLLib, Tensorflow, MxNet, etc. Strong publication record in international conferences on machinelearning and artificial intelligence. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer More ❯
Ph.D. degree in in Statistics, CS, MachineLearning, Operations Research or in a highly quantitative field. - Knowledge of distributed computing and experience with advanced machinelearning libraries like SparkMLLib, Tensorflow, MxNet, etc. - Strong publication record in international conferences on machinelearning and artificial intelligence Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you More ❯
a skilled programmer with a strong command of major machinelearning languages such as Python or Scala, and have expertise in utilising statistical and machinelearning libraries like SparkMLlib, scikit-learn, or PyTorch to write clear, efficient, and well-documented code. Experience with optimisation techniques, control theory, causal modelling or elasticity modelling is desirable. Prior experience in solving machineMore ❯
and troubleshoot deployed models to ensure reliability and performance. Stay updated with advancements in machinelearning frameworks and distributed computing technologies. Required Skills: Proficiency in ApacheSpark and SparkMLlib for machinelearning tasks. Strong understanding of predictive modeling techniques (e.g., regression, classification, clustering). Experience with distributed systems like Hadoop for data storage and processing. Proficiency in Python, Scala More ❯
and troubleshoot deployed models to ensure reliability and performance. Stay updated with advancements in machinelearning frameworks and distributed computing technologies. Required Skills: Proficiency in ApacheSpark and SparkMLlib for machinelearning tasks. Strong understanding of predictive modeling techniques (e.g., regression, classification, clustering). Experience with distributed systems like Hadoop for data storage and processing. Proficiency in Python, Scala More ❯
and troubleshoot deployed models to ensure reliability and performance. Stay updated with advancements in machinelearning frameworks and distributed computing technologies. Required Skills: Proficiency in ApacheSpark and SparkMLlib for machinelearning tasks. Strong understanding of predictive modeling techniques (e.g., regression, classification, clustering). Experience with distributed systems like Hadoop for data storage and processing. Proficiency in Python, Scala More ❯
Our Principal Data Scientists are responsible for leading and delivering strategically significant, complex client engagements across our portfolio of clients. We believe that great delivery stems from a thorough understanding of our clients and their needs, strong discipline skills and More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Made Tech
Our Principal Data Scientists are responsible for leading and delivering strategically significant, complex client engagements across our portfolio of clients. We believe that great delivery stems from a thorough understanding of our clients and their needs, strong discipline skills and More ❯
London, England, United Kingdom Hybrid / WFH Options
Made Tech Limited
Our Principal Data Scientists are responsible for leading and delivering strategically significant, complex client engagements across our portfolio of clients. We believe that great delivery stems from a thorough understanding of our clients and their needs, strong discipline skills and More ❯