2 of 2 Data Pipeline Jobs in Staines

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 … 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 More ❯

Job Description Data Engineer Staines TW18 3DZ or Salford M50 3SP Flexible/Hybrid working options (i.e up to 3 days WFH) Permanent From £52,000 + fantastic benefits (depending on exp. & location). Full time 37.5 hours We make health happen At Bupa, we’re passionate about technology. With colleagues, customers, patients and residents in mind you … ll have the opportunity to work on innovative projects and make a real impact on their lives. Right from the start you’ll become part of our digital & data strategy, joining us on our journey and developing yourself along the way. Join Bupa’s Data Team to develop data pipelines supporting the Data Analytics Cloud (DAC/DOC) platform and drive transformation across the organisation’s data landscape. You’ll play a key role in Data Warehouse Engineering initiatives, while ensuring operational procedures, security practices, and production policies meet high service standards. How You’ll Help Us Make Health Happen Design and build end-to-end data More ❯