3 of 3 Remote Big Data Jobs in Cambridge

Immediate Office Based Position - Cambridge, UK with hybrid working available Your role in our team: At bit.bio, we're setting our sights on embedding data and AI into our technology stack in new and innovative ways. We are looking for an experienced and passionate Senior Data & AI Engineer … to partner with and support our company by addressing their data management challenges and help us implement an easy-to-use, compliant data and AI platform. In this highly collaborative role you will help acquire, curate, store and retrieve any type of data and metadata required by … the teams. You will be working with data from cutting edge, novel biological assays, and experiments at never before seen scales. As Senior Data & AI Engineer you will apply the latest technologies in highly translational biotech research where you will be directly contributing to cutting edge discoveries. You More ❯

Competitive Hours: 40 per week Office Based Position - Cambridge, UK with hybrid working available Your role in our team At bit.bio, we're embedding data and AI into our technology stack in innovative ways. We are seeking an experienced Senior Data & AI Engineer to support our data management challenges and help implement a compliant, user-friendly data and AI platform. You will work with data from biological assays and experiments at unprecedented scales, supporting cutting-edge discoveries. Your responsibilities include creating and maintaining AI-ready data flows, designing data architectures, enabling AI … driven analytics, operationalizing ML, GenAI & RAG, managing data quality, developing data access libraries and APIs, and advocating AI-first practices. You will collaborate with multiple teams, ensuring data infrastructure supports our innovation goals. Qualifications and Experience Bachelor's degree in a quantitative/informatics field or equivalent More ❯

the quickest way to enter a lucrative career within Cloud Computing. Have the option to enter other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking, and DevOps. More ❯