Applied Scientist

6 days ago

London, Greater London, United Kingdom MENA Alliances Full time £60,000 - £120,000 per year

About the role:We're thrilled to present anincredible career opportunity We're recruiting on behalf of a renowned multinationalcompany based in the United Kingdom, seeking an Applied Scientistexperienced in Generative AI and large models.Whatyou'll do:You will take the lead indeveloping machine learning models capable of handling very large datasets acrossvarious dimensions. With a commitment to scientific precision, you will designand conduct experiments to validate the technical performance and businessimpact of your approaches. Collaborating closely with fellow scientists andengineering teams, you will ensure your research is seamlessly integrated intoproduction systems.Keyresponsibilities:Create machine learningalgorithms to solve large -scale recommendation challenges.Quickly design, test, andrefine multiple hypotheses in an uncertain environment, using data analysis andbusiness insights.Work closely with softwareengineers to implement successful experiments into the company's processes.Share findings and insightseffectively with both technical and non -technical audiences throughpresentations and reports. RequirementsBASICQUALIFICATIONS - PhD, or a Master's degree and experience in CS, CE, ML orrelated field research - Experience in any of the following areas: algorithms and data structures,parsing, numerical optimization, data mining, parallel and distributedcomputing, high -performance computing - Experience programming in Java, C++, Python or related language - Experience in building machine learning models for business application - Experience in patents or publications at top -tier peer -reviewed conferencesor journalsPREFERREDQUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development BenefitsImmigration support: The company provides support for your immigration process to the United Kingdom.Competitive Salary: Enjoy a competitive salary package reflective of your skills and experience.Global Experience: Gain international experience by working with a diverse team in a dynamic region.

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