6 Science contracts

Company Description Quantemol Ltd, founded in 2004 by experts from University College London, specializes in developing advanced software tools that make complex research codes accessible. The company's portfolio includes cutting-edge solutions like the Quantemol Electron Collisions (QEC) software, Quantemol Virtual Tool (QVT) for plasma simulations, and a robust Quantemol Data Base (QDB) for plasma chemistry modeling. Additionally, Quantemol offers tailored consultancy services, handled by leading scientists, to address unique and complex customer challenges. Our innovative products and services support research and development across a range of scientific and industrial applications. Role Description The Senior Technical Program Manager will oversee the successful execution of programs and projects related to Quantemol's software products and consultancy services. Responsibilities include managing project lifecycles, coordinating cross-functional teams,...

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 STEM problems that simulate real scientific workflows Create problems that require Python programming to solve Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks) Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches Verify solutions using Python with standard libraries (Numpy, Pandas, Scipy, scikit-learn) Document problem statements clearly and provide verified correct answers What we look for This opportunity is a good fit for ML...

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 statistics problems that simulate real mathematical research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis; Base problems on real research challenges or practical applications from mathematical practice; Verify solutions using Python with standard...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for an experienced Machine Learning Scientist - AI Trainer to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice. That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for an experienced Product Analyst - AI Trainer to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice. That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about...

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...