4 machine learning scientist jobs found in Remote

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...

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...

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare) Create problems requiring Python programming to solve (using Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn) Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks) Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction Create...

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Data Science AI Trainer, you'll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Design original computational data science problems...