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2 machine learning scientist jobs found in Remote

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Remote 6 Months or more machine learning scientist
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Remote  (2) Greater London  (1) Swindon  (1)
Contract Spy
Apr 15, 2026
6 Months or more
Senior Data Scientist at YLD, Remote, 6 Months, £B2B Contract Rate
Contract Spy Remote (London, UK)
Location: London/Hybrid (Strong preference for 1 day a week in the office) Department : Engineering/Data Employment Type: Contract (B2B) Contract Length: 6 months (with potential for extension) About YLD: Everything we do is to empower our clients to move forward. Our purpose is to help our clients develop the capabilities they need to outperform their competitors. Our success is a consequence of ensuring our clients are successful. Our company is built on extraordinary people; we aim to attract, inspire, develop and retain them. YLD is a software engineering and design consultancy; we create digital capabilities for our clients that last beyond our engagement. We have offices in London, Lisbon, Porto. About the role: As a Data Scientist, you will take responsibility for data, insights, and models that help our clients grow quickly. You'll have Machine Learning Engineering experience and use this to build data capabilities that...
Contract Spy
Apr 13, 2026
6 Months or more
Data Scientist at UK Research & Innovation, Remote/Swindon, 6 Months, £Contract Rate
Contract Spy Remote (Swindon, UK)
We are seeking a Data Scientist to join an established team delivering Artificial Intelligence solutions built on UKRI's data landscape. This is a hands on, delivery focused role, where you will work across the full machine learning lifecycle, taking models from initial prototype through to production and ongoing optimisation. The role contributes to the discovery, planning and implementation of AI initiatives driven by the Data Delivery Group, with a strong focus on practical, scalable outcomes.   As a Data Scientist , your main responsibilities will be to: Develop and implement machine learning algorithms and models. Translate data science prototypes into production ready machine learning systems. Design, build and maintain infrastructure to train, deploy and scale ML models. Preprocess, clean and prepare data to ensure suitability for model training. Extract relevant insights and features from complex datasets. Build and maintain data pipelines...
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