Senior ML Scientist: Privacy-Preserving AI Lead in Oxford

Senior ML Scientist: Privacy-Preserving AI Lead in Oxford

Oxford Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
E

At a Glance

  • Tasks: Lead the development of privacy-preserving AI models and mentor fellow ML engineers.
  • Company: Join Aioi Nissay Dowa Europe, a leader in innovative AI solutions.
  • Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team driving cutting-edge research in AI.
  • Why this job: Make a real difference in AI while collaborating with top industry partners.
  • Qualifications: Proven experience in machine learning and a passion for privacy-focused technology.

The predicted salary is between 80000 - 100000 Β£ per year.

Aioi Nissay Dowa Europe is seeking a senior ML researcher to advance a privacy-preserving generative AI ecosystem.

The role focuses on designing secure, scalable models and deploying dependable components within a multi-partner programme.

You will publish research, mentor ML engineers, and present findings at conferences, while collaborating with CODAS and other partners to deliver high-quality outputs.

#J-18808-Ljbffr

Senior ML Scientist: Privacy-Preserving AI Lead in Oxford employer: Energy Jobline CVL

Join a well-established property maintenance contractor in Birmingham, where you will enjoy a supportive work culture and the opportunity for career progression. With benefits such as a company van, fuel card, and ongoing training, this role not only offers stability but also the chance to develop your skills in a hands-on environment backed by an experienced office team. Experience a rewarding career with guaranteed annual leave and social events that foster a strong team spirit.

E

Contact Details:

Energy Jobline CVL Recruitment Team

We think you need these skills to ace Senior ML Scientist: Privacy-Preserving AI Lead in Oxford

Machine Learning
Generative AI
Privacy-Preserving Techniques
Model Design
Scalability
Component Deployment
Research Publication