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A great opportunity for an AI Engineer/ Machine Learning Engineer with solid experience in Gen AI/ LLMs to join a well established InsurTech with scope for a breadth of interesting AI projects.
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If you think you could be a good fit for this role and you have the relevant skills needed to become a successful Machine Learning Engineer, send your CV across ASAP! Machine Learning Engineer.
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Certifications: Azure Data Scientist Associate DP-100, Azure Data Engineer Associate DP-203, Databricks Certified Machine Learning Professional (nice to have: AZ-400) We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms.
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If you're experienced in Azure DevOps, Azure Machine Learning, and IaC (Bicep), this is a fantastic opportunity to work on cutting-edge AI projects with Azure OpenAI integration. Leverage Azure Machine Learning Studio for model training and deployment.
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The Analytics Engineering team transform raw data into well-organised, tested and documented data models to help security teams gain insights, build reports, and develop advanced analytics, machine learning, and AI solutions to strengthen security.
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Please note if successful you will need to set up via an Umbrella Company/PAYE. The successful Machine Learning Engineer with GCP Cloud and Computer Vision Imaging experience will execute migration of raw and derived unstructured datasets (images, videos, etc) between on-prem and cloud data locations (e.g. GCP, Azure, AWS.
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Axpe Consulting is a premier consulting firm seeking an experienced Google Professional Machine Learning Engineer to lead our Generative AI projects exclusively using Google AI products.
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Machine Learning Specialist / Ops Engineer (You must have current active SC) Automate end-to-end machine learning workflows, including data preparation, training, model validation, and deployment.
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PhD in Computational Biology, Machine Learning or a related scientific field. Experience with any of the following machine learning topics would be a plus. InstaDeep is looking for Research Scientists to join our Research Team in London, working at the intersection of machine learning and life sciences.
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Background in mathematics, statistics, machine learning, computer science, engineering, quantitative finance, or economics. Strong command of foundations of applied and theoretical statistics, linear algebra, and machine learning techniques.
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Their mission is to revolutionize industries through advanced technology, utilizing a combination of Java, Kotlin, React, JavaScript, MongoDB, Machine Learning, and Azure cloud services.
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Experience in Applied Mathematics, including but not limited to Statistical analysis, Machine Learning, Neural Networks, etc. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise and ideas from our innovation ecosystem.
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As the leader of a high-performing research group, you will architect and refine innovative trading strategies, applying statistical methods, machine learning, and quantitative finance to improve performance across digital asset markets.
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Architect & Build Scalable Data Platforms: Lead the design and development of a scalable data platform on AWS and Snowflake, including star schema modeling for NLP and Machine Learning (ML) model deployment.
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You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals. You will ideally have prior experience in a fund within financial services with a strong background in machine learning or a related field.
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machine learning jobs in London, England, United Kingdom
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