Applied Scientist

About the role:

We're thrilled to present an

incredible career opportunity! We're recruiting on behalf of a renowned multinational

company based in the United Kingdom, seeking an Applied Scientist

experienced in Generative AI and large models.

What

you’ll do:

You will take the lead in

developing machine learning models capable of handling very large datasets across

various dimensions. With a commitment to scientific precision, you will design

and conduct experiments to validate the technical performance and business

impact of your approaches. Collaborating closely with fellow scientists and

engineering teams, you will ensure your research is seamlessly integrated into

production systems.

Key

responsibilities:

• Create machine learning

  algorithms to solve large-scale recommendation challenges.

• Quickly design, test, and

  refine multiple hypotheses in an uncertain environment, using data analysis and

  business insights.

• Work closely with software

  engineers to implement successful experiments into the company’s processes.

• Share findings and insights

  effectively with both technical and non-technical audiences through

  presentations and reports.

Requirements

BASIC

QUALIFICATIONS

- PhD, or a Master's degree and experience in CS, CE, ML or

related field research

- Experience in any of the following areas: algorithms and data structures,

parsing, numerical optimization, data mining, parallel and distributed

computing, 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 conferences

or journals

PREFERRED

QUALIFICATIONS

- Experience using Unix/Linux

- Experience in professional software development

Benefits

• Immigration

  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.