2 of 2 Data Pipeline Jobs in Middlesex

Vacancy for Research Data Engineers at NPL 6 July 2021 Locations: Glasgow & Teddington NPL is the UK's National Measurement Institute, providing measurement expertise that underpins UK prosperity and quality of life. We are a world-leading research facility, bringing together scientists and engineers from various fields to help save lives, protect the environment, and support global trade … and innovation. We are investing in Data Science to address scientific challenges in Advanced Manufacturing, Energy & Environment, and Life Sciences & Health, aligned with our organizational growth and transformation plans. The Data Science team at NPL is expanding, and we are seeking motivated candidates at all levels, from early career to experienced scientists, data engineers … partners in academia and industry, you will help advance research by creating optimal data infrastructures across various projects. You will work across the entire data pipeline, from configuring data sources to integrating analytical tools. Responsibilities include developing data architectures, protocols, and software tools to promote the FAIR principles (Findable, Accessible, Interoperable More ❯

Data Scientist - GCP 500- 550 per day (Inside IR35) 2 Days Onsite - Isleworth, West London 6-Month Contract (Extendable) 83zero are partnered with a global leader in media and broadcasting, looking for an experienced Data Scientist to support a business-critical project. You'll be joining a collaborative team of data scientists and engineers … to build and refine machine learning models that deliver genuine commercial impact. What You'll Be Doing: Work closely with fellow data scientists to explore how AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer … ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date with the latest developments in data science and AI to drive innovation. Present insights, results, and model performance clearly to both technical and non-technical stakeholders. Ensure your workflows are reproducible and well-documented, including More ❯