At a Glance
- Tasks: Lead groundbreaking AI hardware advancements and shape innovative research projects.
- Company: Join ARIA, a leader in next-gen compute architectures.
- Benefits: Enjoy comprehensive leave, hybrid work, and personal growth support.
- Other info: Collaborate with diverse research communities and drive innovation.
- Why this job: Make a real impact on the future of AI technology.
- Qualifications: Strong background in science and technology with leadership skills.
The predicted salary is between 60000 - 80000 £ per year.
targetjobs UK is seeking a Science and Technology Lead for ARIA to drive groundbreaking advancements in AI hardware. The candidate will collaborate closely with ARIA’s Programme Director, shaping research and evaluating projects that could significantly reduce costs and increase efficiency across various AI technologies.
Engaging deeply with diverse research communities, the candidate will help guide innovative projects from startups to universities, contributing to the overall development of the UK’s technological framework and ensuring impactful discoveries.
Benefits include comprehensive annual leave, hybrid working arrangements, and a supportive environment for personal growth.
Science & Tech Lead: Next‑Gen Compute Architectures employer: TargetJobs UK
At targetjobs UK, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration in the field of AI hardware. Our commitment to employee growth is reflected in our comprehensive benefits package, including generous annual leave and flexible hybrid working arrangements, ensuring that our team members can thrive both personally and professionally while making meaningful contributions to the UK's technological advancements.
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We think this is how you could land Science & Tech Lead: Next‑Gen Compute Architectures
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We think you need these skills to ace Science & Tech Lead: Next‑Gen Compute Architectures
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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