4 of 4 Data Pipeline Jobs in Cambridge

Overview: We are seeking a motivated and detail-oriented Data Engineer with a passion for designing and delivering high-quality data solutions in Databricks . You will be responsible for building and optimising data pipelines that form the foundation of our reporting and analytics … Proven experience in data modelling, schema design, and data quality validation. Solid understanding of data performance tuning and pipeline optimisation in Databricks. Experience working with Git-based version control and collaborative development workflows. Strong analytical and problem-solving skills, with ...

require a minimum of 3 days per week on site in central Cambridge. The key experience required for this Bioinformatician position is: CRISPR Data pipelines Python or R Support lab scientists If you do have the relevant skills for this Bioinformatician Engineer contract position, please do apply. ...

systems and AI agents that leverage LLMs and retrieval‐augmented generation (RAG) to provide contextual, reasoning‐based capabilities. Develop cloud‐native microservices and data pipelines to deliver high‐performance inference and contextual retrieval across multiple data sources. Implement frameworks for orchestration, task planning and memory management … Rust; experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes). Familiarity with AI/ML inference frameworks, vector databases and data streaming systems. Strong problem‐solving skills, ability to mentor peers and thrive in a dynamic startup environment. ...

development of cutting-edge technologies that address future business needs. Key Responsibilities: Technical lead in designing full-cycle AI solutions, including data collection and pipelines for reusable analysis, and monitoring and maintenance regimes for continuous development. Research, develop, deploy, and maintain scalable AI-powered solutions for Cambridge English … ensure prompt delivery Deep experience in Python and PyTorch/TensorFlow. Industry experience in building scalable, production-grade AI services and automated data pipelines with tools like Docker, Kubernetes, and cloud platforms (e.g., AWS). Proven ability to collaborate effectively in Agile/Scrum teams and contribute ...