Looking for a highly talented Product Lead in Machine Learning to join a dynamic Engineering team. Create Create and facilitate the delivery of the Machine Learning roadmap for the company's key AI focus areas. Work Work hand-in-hand with a team of dedicated machine learning engineers, aiming to deliver projects reliably adoption and integration of machine learning project outputs from your machine learning team by other internal internal non-machine learning software engineering teams. Own and drive agile events like Sprint Grooming and
Python, Microsoft, AWS, Hadoop, Big Data, Machine Learning or Cloud Infrastructure
This role involves applying statistical, machine learning, and data mining techniques to extract trends implement data modelling, data mining, and machine learning algorithms to uncover patterns, trends, and with the latest developments in data science, machine learning, and analytical techniques, and incorporate of 3 years of experience in data science, machine learning, or a related field. Strong programming skills Spark). Proficiency in statistical modelling, machine learning algorithms, and data mining techniques. Excellent
Platform team Use your skills in data analytics, machine learning, and cloud tech to drive innovation. Manage actionable insights. Gain hands-on experience with machine learning and NLP models. We seek problem solvers with What You'll Do: - Leverage data analytics and machine learning to drive innovative solutions. - Manage cloud actionable insights. - Work with cutting-edge machine learning tools and develop NLP and NLU models. What
group performs basic and applied research in machine learning, with an emphasis on the theory and application Research (CAIR), and the coordinator of the machine learning research programme of The National Institute the group develops and applies specialised machine learning techniques with a network of collaborating experience in the theory and application of machine learning. A minimum of 2 years' experience in supervision sound publication record. Proven competency in machine learning, deep learning and underpinning disciplines
group performs basic and applied research in machine learning, with an emphasis on the theory and application Research (CAIR), and the coordinator of the machine learning research programme of The National Institute the group develops and applies specialised machine learning techniques with a network of collaborating experience in the theory and application of machine learning. A minimum of 2 years' experience in supervision sound publication record. Proven competency in machine learning, deep learning and underpinning disciplines
and services by applying strong expertise in machine learning, data mining and conducting information retrieval
Python, Microsoft, AWS, Hadoop, Big Data, Machine Learning or Cloud Infrastructure Requirements: Degree Knowledge and working with large scale data sets Machine learning techniques experience Working within an Agile Identify and implement data mining / statistics / machine learning techniques Validate and test models Review