3 of 3 Data Ingestion Jobs in Oxford

Data Engineer II (Data Platform)

Location
Oxford, England, United Kingdom
travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. About the Data Platform Team Our Data Platform team is the engineering backbone of Tripadvisor’s data ecosystem. Formed from the core fundamentals … Data Engineering and Software Engineering (Data Platform) groups, this unified team combines deep data pipeline expertise with robust platform engineering capabilities. We are responsible for providing software and infrastructure that enable Tripadvisor to better understand visitor preferences, power experimentation across all surfaces (website, mobile app, and customer ...

Machine Learning Engineer

Hiring Organisation
Intellectual Capital Resources
Location
Oxford, Oxfordshire, United Kingdom
Salary
£ 80 K
STEM subject 3+ years in industry building production ML systems Python + PyTorch/JAX expertise for training, inference, and model export Experience building data pipelines for complex scientific/engineering datasets Solid software engineering fundamentals - testing, CI/CD, clean APIs End‐to‐end ML system ownership from … data ingestion to model deployment Clear communication - writing specs, documenting APIs, presenting to customers Familiarity with circuit simulation or EDA tools (nice to have) C++/CUDA experience for performance‐critical components (nice to have) Startup or fast‐moving team experience Why consider it: Competitive salary, bonus ...

AI Engineer - Contract

Location
Oxford, England, United Kingdom
environments. At the core of everything we build is AVISTM (A Very Intelligent System), our orchestration platform: the intelligence layer that fuses multi-modal data, including text, imagery, telemetry and sensor feeds, so operators can interrogate complex information at speed and make better decisions under pressure. AVISTM powers … workflows for reasoning, search, summarisation, and task execution Deploy AI systems into cloud, on-premises, and air-gapped environments Build production-ready pipelines from data ingestion through to inference Experience with observability for AI systems, including agent behaviour, model performance, and failure modes Collaborate with engineers, product leads ...