1 of 1 Data Science Jobs in Staines

high-ambiguity environment. • Build, train, and deploy state-of-the-art models (e.g., deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). • Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. • Collaborate closely with product, design, and DevOps to integrate AI features into our platform. • Continuously evaluate new research, open-source tools, and … and grow an AI/ML team as we scale beyond our seed round. ⸻ Key Responsibilities 1. Architecture & Hands-On Development • Define and implement end-to-end AI pipelines: data collection/cleaning, feature engineering, model training, validation, and inference. • Rapidly prototype novel models (e.g., neural networks, probabilistic models) using PyTorch, TensorFlow, JAX, or equivalent. • Productionize models in cloud … availability inference. 2. Strategic Leadership • Develop a multi-quarter AI roadmap aligned with product milestones and fundraising milestones. • Identify and evaluate opportunities for AI-driven competitive advantages (e.g., proprietary data, unique model architectures, transfer/few-shot learning). • Collaborate with business stakeholders to translate “big problems” into technically feasible AI solutions. 3. Data & Infrastructure • Oversee the creation More ❯