5 of 5 Permanent Algorithms Jobs in South London

very well be the right place for you. The Quantitative Analytics team at Centrica Energy is part of the Trading Analytics and Algorithms centre of excellence, and is responsible for: Delivering quantitative analysis of complex and structured products, that provides insight to help traders to maximise value and manage risk ...

large cross-company efforts Suggest, collect and synthesize requirements and create an effective feature and technology roadmap Minimum Qualifications: Experience developing machine learning algorithms or machine learning infrastructure in Python, PyTorch, and/or C/C++ Bachelor in Artificial Intelligence (AI), computer science, related technical fields, or equivalent practical ...

text, images, and search queries to ensure the results provided to users are accurate, culturally appropriate, and helpful. Your ratings will directly influence the algorithms that power search engines and AI models. Key Responsibilities: Evaluate and rate search results or AI-generated text based on specific guidelines regarding relevance ...

Job Summary The Data Engineering Consultant, working independently under limited oversight, empowers the organization through architecting, designing, and executing advanced analytics capabilities. In an agile team setting, they collaborate with data scientists, data analysts, and ...

will be expected to: Conduct exploratory data analysis to identify trends, patterns, and relationships in large datasets. Develop predictive models and machine learning algorithms to optimise business processes, improve customer experience, and drive revenue growth. Collaborate with stakeholders to define project objectives, requirements, and success criteria. Clean, transform, and preprocess … Strong knowledge of statistical concepts and techniques, such as hypothesis testing, regression analysis, time series analysis, and clustering. A deep understanding of machine learning algorithms, including supervised and unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow ...