5 of 5 DataOps Jobs in Cambridge

data programmes across multiple plants or sites Desired Skills and Competencies Experience with AVEVA CONNECT capabilities, including CONNECT Data, sharing, analytics, visualisation, digital twin, DataOps, and AI/ML-enabled use cases Strong understanding of SCADA systems, PI Interfaces and Connectors, OPC DA/UA, Modbus, DCS systems, and industrial ...

large language models combined with our award-winning semantic technology to enable discovery within large volumes of unstructured data. About the Role As a DataOps Engineer, you will play a key role in maintaining and enhancing the data and ontology pipelines that underpin SciBite’s technology stack. Working closely with … vocabularies and ontologies Provide support for customer projects as required Develop software to assist manual curation efforts Develop and maintain automation pipelines across the DataOps team Work with AWS Batch, Step Functions, and Lambda-based solutions Collaborate closely with Data Science and Ontology teams Contribute to the continuous improvement ...

Elsevier is seeking a DataOps Engineer to maintain and evolve data and ontology pipelines that power our AI and NLP technology stack. You will collaborate with Ontology and Data Science teams to build high-quality vocabularies and data products, while crafting automation and software solutions to boost efficiency and customer ...

Engineer to help build and evolve data and ontology solutions powering scientific technologies. You will contribute to data pipelines, automation, and tooling across the DataOps stack, collaborating with Ontology and Data Science teams. The role requires Python expertise, experience with UNIX, GitHub, and cloud services, plus a track record ...

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 ...