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4 of 4 Permanent Neural Network Jobs in East London
South East London, England, United Kingdom Infoplus Technologies UK Limited
engineering and building robust data pipelines for AI/ML workloads on GCP (e.g., BigQuery, Dataflow). • Solid understanding of core AI/ML concepts, including deep learning, neural networks, NLP, and machine learning algorithms. • Familiarity with MLOps principles and tools for deploying, managing, and monitoring ML models in production. • Excellent problem-solving skills, with a passion for More ❯
South East London, England, United Kingdom Tenth Revolution Group
preparation, exploratory analysis, model training, validation, and deployment. Develop and fine-tune predictive algorithms such as: Classification: Logistic Regression, Decision Trees, Random Forests. Regression: Linear Models, Gradient Boosting, Neural Networks, K-Nearest Neighbors. Build models for customer behavior prediction and risk assessment in insurance, particularly in underwriting and claims. Apply natural language processing (NLP) for tasks like document More ❯
South East London, England, United Kingdom Xcede
expansion, the company is looking to onboard a Senior Data Scientist with strong commercial experience in building Recommender Systems. Experience in designing and deploying Graph Models or Graph Neural Networks would be a significant advantage. Responsibilities Work with senior colleagues and internal stakeholders to spot business opportunities to leverage data science techniques and add business value. Build relevant … but all backgrounds considered). Excellent Python skills. Strong Machine Learning & Statistical knowledge Commercial Recommendation Engine experience Software Development best practice approach (CI/CD experience, etc.) Graph Neural Networks/Knowledge Graph experience. If this role interests you and you would like to learn more, please apply here or contact us via niall.wharton@Xcede.com (feel free to More ❯
South East London, England, United Kingdom Selby Jennings
Mathematics, Physics, Statistics, or Engineering. Demonstrated experience developing systematic cash equity/statistical arbitrage strategies. Experience with machine learning models and/or statistical learning models (e.g. LLMs, neural networks, Deep Learning models, etc.). Capacity to excel in a fast-paced environment. Strong coding skills in at least one of the following programming languages: Python, R, MATLAB More ❯
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