3 of 3 Permanent Benchmarking Jobs in Oxford

selection activities, including RFP design, vendor evaluation, and decision frameworks. Collaboration and Knowledge Contribution Work cross-functionally with internal knowledge groups to expand domain expertise. Contribute to research and benchmarking content, whitepapers, webinars, and client-facing communications. Required Qualifications Minimum of 3 years of professional experience in the investment management industry (asset manager, asset owner, or asset servicer). Demonstrated More ❯

models — this includes funding models, financing strategy and structures, Government or third party support packages, and State aid/UK subsidy control approval strategy and applications. Market analysis and benchmarking of sector and key players including supply chain and technology. Business case preparation for various stakeholder approvals and grant applications. All aspects of financial advice on major infrastructure projects. Raising More ❯

based on years of ground-breaking research. The successful Machine Learning Engineer will work in a multidisciplinary team to understand hardware architecture and develop ML models, simulation tools, and benchmarking frameworks. Primary responsibilities: Research, implement, and optimize state-of-the-art machine learning algorithms to enhance model performance on an AI processor Design and develop simulation tools to simulate AI … model performance Develop benchmarking frameworks Essential experience: BSc, MSc, or PhD in Computer Science, EE, Mathematics, or similar Minimum 2+ years industry experience as an ML Engineer working on full-cycle model development for AI hardware processors Experience in benchmarking and performance analysis of machine learning models on specialized hardware platforms Proficiency in PyTorch, TensorFlow Programming in Python, C/ More ❯