timber, liquid alternatives, and hedge funds. The Technology Leader is a critical executive role tasked with steering strategic direction, spearheading digital transformation, and overseeing data management across portfolio companies. This position is dedicated to ensuring that technology development is meticulously aligned with fund-level objectives, optimizing operational efficiency through … and timelines, conduct code reviews to ensure code quality and best practices, and assist with coding and development. Engage with portfolio companies to define data and technology vision and strategies, review systems implementation, and advise on cybersecurity processes and systems quality. Digital Transformation and Project Management: Lead digital transformation … ML frameworks to enhance operational efficiency and customer experience. Manage and deliver complex technology projects on time and within budget, ensuring high-quality outcomes. Data Management and Analytics: Implement data governance models and advanced analytics solutions to enhance decision-making and business insights. Lead initiatives in big dataMore ❯
timber, liquid alternatives, and hedge funds. The Technology Leader is a critical executive role tasked with steering strategic direction, spearheading digital transformation, and overseeing data management across portfolio companies. This position is dedicated to ensuring that technology development is meticulously aligned with fund-level objectives, optimizing operational efficiency through … and timelines, conduct code reviews to ensure code quality and best practices, and assist with coding and development. Engage with portfolio companies to define data and technology vision and strategies, review systems implementation, and advise on cybersecurity processes and systems quality. Digital Transformation and Project Management: Lead digital transformation … ML frameworks to enhance operational efficiency and customer experience. Manage and deliver complex technology projects on time and within budget, ensuring high-quality outcomes. Data Management and Analytics: Implement data governance models and advanced analytics solutions to enhance decision-making and business insights. Lead initiatives in big dataMore ❯
rearchitecting critical processes to leverage the capabilities of Gen AI. Amazon Q-CST Customer Success Team (CST) members leverage their deep knowledge of AWS data services and data analytics in collaboration with our sales and partner teams to propose, architect, and implement transformational solutions for customers. We make … customer stakeholders to understand their requirements, translate them into technical specifications, and develop scalable and secure Generative AI solutions. Additionally, they provide guidance on data preparation, model training, and deployment strategies to ensure successful implementation and adoption of Generative AI solutions within the organization. Builders are responsible for weekly … excellence. Key job responsibilities Design and develop Amazon Q and Gen AI Application architectures for various applications, such as text generation, image synthesis, and dataaugmentation, while ensuring compliance with Amazon's best practices and guidelines. Develop and implement strategies for training, fine-tuning, and optimizing generative AI More ❯
rearchitecting critical processes to leverage the capabilities of Gen AI. Amazon Q-CST Customer Success Team (CST) members leverage their deep knowledge of AWS data services and data analytics in collaboration with our sales and partner teams to propose, architect, and implement transformational solutions for customers. We make … customer stakeholders to understand their requirements, translates them into technical specifications, and develops scalable and secure Generative AI solutions. Additionally, they provide guidance on data preparation, model training, and deployment strategies to ensure successful implementation and adoption of Generative AI solutions within the organization. Builders are responsible for weekly … excellence. Key job responsibilities - Design and develop Amazon Q and Gen AI Application architectures for various applications, such as text generation, image synthesis, and dataaugmentation, while ensuring compliance with Amazon's best practices and guidelines. - Develop and implement strategies for training, fine-tuning, and optimizing generative AI More ❯
Engineer 1 week ago Be among the first 25 applicants Direct message the job poster from Zori Tex Job Title: Machine Learning, Computer Vision & Data Science Engineer Location: Hybrid (London) - Flexible arrangements may be considered for the right candidate Salary: Salary aligned with experience and early-stage norms, with … right candidate. Key Responsibilities: Develop and optimise deep learning models. Apply machine learning to complex hyperspectral imaging and RGB datasets. Enhance dataset quality, including dataaugmentation and synthetic data approaches. Apply machine learning and statistical techniques for spectral feature extraction. Keep abreast of state of the art … techniques and the latest research literature. Work on inference efficiency and robustness for real-time processing. Analyse and visualise data to assess model performance and improve prediction accuracy. Dataset extension including acquisition, training and re-training to optimise configuration. Collaborate with the technical and wider team to ensure seamless More ❯
create even better experiences for our merchants and our partners. Join us to build the digital economy of tomorrow. Job Description As a Staff Data Scientist specialising in Large Language Models (LLMs), you will play a critical role in harnessing the power of advanced NLP technologies to drive innovation … and more. Ensure we have the right processes and tools to curate and preprocess large datasets for training and evaluating LLMs, implement strategies for dataaugmentation, labeling, and annotation. As the technical thought leader, increase the AI fluency in the wider business through supporting training programs and mentoring … conversational AI and chatbot development. Familiarity with ethical considerations and best practices in AI. Previous experience in a mentorship or leadership role within a data science team. Additional Information Apply without meeting all requirements statement If you don't meet all the requirements but think you might still be More ❯
