6 of 6 Remote/Hybrid Data Engineer Jobs in Cambridge

Title: Data Engineer Salary: £40,300 – £52,450 Location: Cambridge, UK – Hybrid Contract: Permanent Hours: Full time, 35 hours per week Cambridge University Press & Assessment is a world-renowned not-for-profit academic publisher and assessment organisation, proudly part of the prestigious University of Cambridge. With a legacy … assessment organisation and a proud part of the University of Cambridge. Join our Applied AI team and help shape the future of assessment through data, innovation, and artificial intelligence. As a Data Engineer, you will work on impactful, large-scale data platforms and AI-driven solutions ...

Cambridge University Press & Assessment is seeking a Data Engineer to join the Applied AI team in Cambridge. You will design, build and maintain scalable data platforms and pipelines powering AI-driven assessment solutions, working with cross-functional teams to ensure secure, high-quality data and scalable ...

looking for an ML Data & Platform Engineer to own the infrastructure that powers our speech AI models: the pipelines that source and prepare training data, and the platform that trains, evaluates, and serves them in production. Speech AI has a data problem most ML teams … better models into production faster. This is a broad, cross-functional role suited to someone who enjoys working across the full stack: data infrastructure, distributed systems, and production ML, and who takes ownership of problems end to end rather than waiting to be told what to fix. What ...

AstraZeneca plc's Evinova unit is seeking a Senior Clinical Solutions Engineer, Data, to serve as the customer-facing clinical data expert on our SaaS Delivery team. You will translate data requirements into scalable delivery, guiding data mapping, standards, and validated loads across trials ...

Speechmatics is seeking an ML Data & Platform Engineer to own the data pipelines and the platform that trains, evaluates, and serves models in production. You will work across the full stack—from data infrastructure to production ML—owning problems end-to-end to accelerate model delivery. … collaborate with the ML team to improve data quality, observability, and MLOps practices, while scaling infrastructure for faster iteration and reliability. #J-18808-Ljbffr ...

Quotient Therapeutics seeks a Senior Engineer for the Data Infrastructure team to design and evolve our cloud, data and AI infrastructure underpinning our genomics-first platform. You will lead AWS platform engineering, data systems and AI/ML workloads, collaborating with cloud and data engineers ...