AI Accelerator Lead — Geospatial Innovation in Southampton

AI Accelerator Lead — Geospatial Innovation in Southampton

Southampton Full-Time 79079 - 92258 £ / year (est.) Home office (partial)

At a Glance

  • Tasks: Lead the AI Accelerator, driving innovation through prototyping and team collaboration.
  • Company: Join a forward-thinking company focused on geospatial innovation.
  • Benefits: Competitive salary, hybrid working model, and various perks.
  • Other info: Exciting opportunity for career growth in a dynamic environment.
  • Why this job: Be at the forefront of AI innovation and make a meaningful impact.
  • Qualifications: Proven AI/ML engineering experience and strong leadership skills.

The predicted salary is between 79079 - 92258 £ per year.

is looking for an AI Accelerator Lead in Southampton. This role will lead the establishment of an AI Accelerator, driving innovation through prototyping and collaboration across teams.

The ideal candidate will have proven AI/ML engineering experience, strong leadership skills, and a passion for responsible AI adoption.

The position offers a salary between £79,079 and £92,258, along with a hybrid working model and various benefits.

AI Accelerator Lead — Geospatial Innovation in Southampton employer: 慨正橡扯

At 慨正橡扯, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Southampton. Our commitment to employee growth is reflected in our robust training programmes and mentorship opportunities, ensuring that you can thrive in your career while contributing to meaningful projects in AI and geospatial technology. With a competitive salary and a hybrid working model, we provide the perfect environment for passionate individuals to make a real impact in the field of responsible AI.

Contact Details:

慨正橡扯 Recruitment Team

We think you need these skills to ace AI Accelerator Lead — Geospatial Innovation in Southampton

AI/ML Engineering Experience
Leadership Skills
Prototyping
Collaboration
Responsible AI Adoption
Innovation Management
Hybrid Working Model Adaptability