3 of 3 Transfer Learning Jobs in the UK excluding London

the short-term roadmap working closely with Product and Engineering and make investments for the long-term. Our research themes include, but are not limited to: foundational models, contrastive learning, diffusion models, few-shot and zero-shot learning, transfer learning, unsupervised and semi-supervised methods, active learning and semi-automated data annotation, deep learning … in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - PhD in computer science, machine learning, engineering, or related fields - Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms - Material contributions to the CV/ML/AI field More ❯

Product Development and Manufacturing Solutions division. The team you will join is spearheading the development of Fusion's cloud-based automation and AI-powered capabilities. As a Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from data preparation at … novel and creative approaches. Model Development: Develop ML models, building on the latest published research. Model Improvement: Improve and customize existing models using methodologies like RAG, fine-tuning, and transfer-learning. Integration: Integrate existing ML models into novel applications. Application Development: Develop and deploy applications that integrate AI/ML technology or models. Problem Solving: Apply ML methods to … best practices. Collaboration: Work collaboratively with cross-functional teams to integrate research findings into product development. Mentorship: Mentor and guide junior researchers and engineers, fostering a culture of continuous learning and improvement. Publication: Publish research findings in top-tier conferences and journals; represent Autodesk at industry and research events. Requirements Research Expertise: Proven research track record in AI/ More ❯

Assess the practicality and relevance of modern technologies such as machine learning, big data analytics, generative AI, multi-agent systems, and quantum computing in insurance and risk consulting. Work with diverse teams to pinpoint challenges in the industry and devise innovative solutions using these technologies. Examine intricate data sets to offer insights that aid in the strategic decision-making … business growth by engaging in client meetings, presentations, and proposals, highlighting the advantages and functionality of our technological offerings. Required Skills: Skilled in various modelling methods such as active learning, transfer learning, agent-based modelling, optimization, Bayesian inference, entity extraction/resolution, and spatio-temporal modelling. Proficient in developing models from fundamental principles and selecting modelling techniques More ❯