Darlington, County Durham, North East, United Kingdom Hybrid/Remote Options
Inspire People
Government. This role is fully remote and Inside IR35. 6 Month contract. Fully remote working. AI Engineer role overview: Helping to practically maintain and iterate a web API using FastAPI and hosted on Amazon Web Services (AWS). - Developing improvements to the existing product, following an existing roadmap focusing on improved data ingestion, UI updates (supported by Fullstack Developer) and More ❯
team, contributing to the development of cutting-edge applications that accelerate drug discovery and enable personalised therapies. The ideal candidate will have strong Python backend development experience, preferably with FastAPI, and be proficient in cloud-native infrastructure (Google Cloud preferred), DevOps practices, and automated testing. While a background in life sciences is a plus, a passion for improving healthcare through … allied teams, to build an end-to-end pipeline consuming other data products Basic qualifications: Extensive experience conducting Bankend Development using Python. Concurrency and Asyn exp Demonstrated experience using FastAPI Cloud Experience - GCP Essential SQL Docker Containerization Unit testing experience - TDD or Test Suit ML or AI experience would be desriable. Experience within Life Sceiences or Pharma Sector If you More ❯
components with data, compute, and frontend systems to create scalable, high-performance solutions. Day-to-day responsibilities include: Designing and implementing backend services for Python-based web applications (e.g., FastAPI). Integrating AI and ML components into production systems and APIs. Writing high-quality, well-tested, and well-documented code following best practices. Developing and monitoring metrics to improve system … to build end-to-end pipelines. Participating in agile ceremonies and code reviews to uphold quality and delivery standards. Tech Stack & Skills Core skills: Strong Python backend development experience (FastAPI or similar frameworks) Cloud-native deployment experience (preferably Google Cloud and Cloud Run) Unit testing experience (pytest or similar frameworks) Familiarity with agile development and CI/CD processes Strong More ❯
