As a Senior AI Engineer at PoliceAI, you will lead the design, development, and deployment of AI-enabled products, translating policing needs into technical solutions. You will work with multidisciplinary teams to build secure, maintainable, and scalable services, and support the testing, evaluation, and validation of AI products.
As Head of AI, you will lead the development and implementation of AI strategies, governance, and capabilities at LPPA, a leading pension administration company. You will work closely with the CTO and executive team to identify and deliver AI opportunities that enhance operational efficiency, service quality, and member outcomes. Key responsibilities include building the AI team, establishing governance frameworks, and fostering AI adoption across the organization.
This role involves developing and implementing computational pipelines for MRI, clinical, and sensor data processing, quantitative image analysis, and machine learning. The candidate will work closely with a multidisciplinary team to improve understanding of placental function and reduce stillbirth risk.
This role involves developing and maintaining statistical and machine learning models for customer lending decisions within Capital One’s underwriting programs. The Data Scientist will work closely with business partners to extract insights from complex data, using advanced feature engineering and statistical testing. Based in Nottingham with a hybrid working model, the position emphasizes model risk management, code quality, and cross-functional collaboration to drive sustainable growth.
This role involves developing and maintaining statistical and machine learning models for customer lending decisions within Capital One's underwriting programs. The Data Scientist will work with large datasets, including Open Banking and Credit Bureau data, applying advanced feature engineering and statistical techniques. Collaboration with business partners and cross-functional teams is key to delivering actionable insights and driving innovation in a hybrid working environment.
This role involves leading scientific research projects, developing new approaches to enhance imaging performance, and working with advanced technologies like X-ray, optics, and AI. You will use MATLAB extensively for data analysis, algorithm development, and technical reporting.
As a Performance Data Analyst, you will support the Used Car team by analysing performance data, creating reports, and providing insights to enhance sales and profitability. You will work on strategic initiatives, develop dashboards, and collaborate with cross-department teams to drive operational success.
This role involves developing and maintaining statistical and machine learning models for customer lending decisions within Capital One’s underwriting programs. The Data Scientist will work closely with business partners to extract insights from complex data, using advanced feature engineering and statistical analysis. The position emphasizes model risk management, validation, and cross-functional collaboration in a hybrid working environment.
This role involves developing and maintaining statistical and machine learning models for customer lending decisions within Capital One’s underwriting programs. The Data Scientist will work closely with business partners to extract insights from complex data, using advanced feature engineering and statistical analysis. Based in Nottingham with a hybrid working model, the position emphasizes collaboration, innovation, and adherence to model risk management standards.
This role involves developing and maintaining statistical and machine learning models for customer lending decisions within Capital One's underwriting programs. The Data Scientist will work on feature engineering, model validation, and statistical testing, using large datasets including Open Banking and Credit Bureau data. Collaboration with business partners and cross-functional teams is key to delivering data-driven insights and driving innovation in lending.
This role involves developing and maintaining statistical and machine learning models for customer lending decisions within Capital One’s underwriting programs. The Data Scientist will work on feature engineering, model validation, and statistical testing, using Open Banking or Credit Bureau data while adhering to Model Risk Management standards. Collaboration with business stakeholders and clear communication of insights are key responsibilities.
Lead the development and deployment of deep learning models to enhance underwriting systems, focusing on non-traditional and multi-modal data. Build scalable neural networks using frameworks like PyTorch and TensorFlow, and translate R&D into production solutions. Work cross-functionally to deliver predictive insights that drive lending innovation.
Lead the development and deployment of deep learning models to enhance underwriting systems, focusing on non-traditional and multi-modal data such as time series and text. Design and implement neural networks (e.g., LSTMs, Transformers) to extract predictive features, bridging R&D with production through close collaboration with stakeholders. Work cross-functionally to deliver scalable, high-impact data science solutions in a hybrid working environment.
Lead the development and deployment of deep learning models to enhance underwriting capabilities, using non-traditional data sources and advanced neural networks such as LSTMs, RNNs, and Transformers. Work closely with stakeholders to translate research into production, mentor junior team members, and drive innovation in predictive modeling. Focus on extracting actionable insights from complex structured and unstructured datasets including text, logs, and time series.
Lead the development and deployment of deep learning models to enhance underwriting capabilities, focusing on non-traditional and multi-modal data such as time series and text. Design and implement neural networks like LSTMs, RNNs, and Transformers, bridging research with production systems. Collaborate across functions to deliver high-impact insights and scalable solutions using Python, SQL, and modern ML frameworks.
Lead the development and deployment of deep learning models to enhance underwriting capabilities, focusing on non-traditional data sources and advanced neural networks. Collaborate with stakeholders to translate R&D into production systems, using Python, SQL, and frameworks like PyTorch or TensorFlow. Work within a collaborative, inclusive team environment focused on innovation in financial technology.
Lead the development and deployment of deep learning models to enhance underwriting capabilities, using non-traditional data and advanced neural networks. Translate R&D into production solutions while mentoring team members and collaborating with stakeholders. Work across structured and unstructured data, including time series and text, to deliver high-impact customer insights.
