for innovation. Support the deployment of ML solutions into production systems for real-time risk management and pricing automation. Profile Advanced Machine Learning Expertise - Demonstrates deep understanding of ML algorithms (supervised, unsupervised, reinforcement learning) and has hands-on experience with deep learning architectures like RNNs, LSTMs, and Transformers. Strong Financial Domain Knowledge - Understands financial instruments, derivatives, and risk management principles More ❯
processes and optimise software delivery Experience in creating and maintaining PowerShell scripts and programming languages Knowledge of or experience in Microsoft deployment technologies, with a familiarity with common hashing algorithms, including their benefits and drawbacks Strong analytical and problem-solving skills with attention to detail Excellent communication skills, with the ability to translate technical information to non-technical stakeholders as More ❯
develop strong digital literacy and problem-solving skills. Plan and deliver creative, curriculum-aligned lessons that encourage curiosity and independent thinking. Support students in understanding key concepts (e.g., programming, algorithms, data representation, and networks). Assess student progress, provide constructive feedback, and support exam preparation. Requirements: Qualified Teacher Status (QTS) with a specialism in Computer Science. Experience teaching Computer Science More ❯
experience. You will be joining a supportive department equipped with modern technology and resources, enabling you to deliver high-quality teaching and foster curiosity in areas such as programming, algorithms, digital systems, and computational thinking. Key Responsibilities: Planning and delivering inclusive and innovative Computer Science lessons Assessing, tracking, and reporting on student progress Creating a stimulating classroom environment that promotes More ❯
experience. You will be joining a supportive department equipped with modern technology and resources, enabling you to deliver high-quality teaching and foster curiosity in areas such as programming, algorithms, digital systems, and computational thinking. Key Responsibilities: Planning and delivering inclusive and innovative Computer Science lessons Assessing, tracking, and reporting on student progress Creating a stimulating classroom environment that promotes More ❯
