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 More ❯
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 More ❯
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 More ❯
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 More ❯
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. - Strong hands-on experiences on customizing GAI/LLM More ❯
learning models for business application Experience in Computer Vision modelling and techniques 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 More ❯
learning models for business application Experience in Computer Vision modelling and techniques 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 More ❯
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 in implementing Computer Vision algorithms Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce More ❯
deep learning methods and machinelearning - Experience with prompting techniques for LLMs 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 in math/statistics/engineering or other More ❯
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 in implementing Computer Vision algorithms Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce More ❯
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 More ❯
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 More ❯
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 More ❯
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 More ❯
techniques and concepts sampling methods, Regression Properties of distributions Weighting sample-based data Statistical tests proper usage Real-world applications. Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machinelearning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) This is a pragmatic More ❯
techniques and concepts sampling methods, Regression Properties of distributions Weighting sample-based data Statistical tests proper usage Real-world applications. Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machinelearning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) This is a pragmatic More ❯
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. 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 ❯
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 ❯
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 ❯
Bristol, England, United Kingdom Hybrid / WFH Options
Made Tech
Principal Data Scientist Application Deadline: 4 July 2025 Department: Technology Employment Type: Permanent Location: Any UK Office Hub (Bristol/London/Manchester/Swansea) Compensation: GBP 105,000 - GBP 115,000/year Description Our Principal Data Scientists are More ❯
Manchester, England, United Kingdom Hybrid / WFH Options
Made Tech
Principal Data Scientist Job Description 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 More ❯