At a Glance
- Tasks: Lead the development of responsible AI standards and architect high-risk systems.
- Company: Scale AI, a leader in AI solutions for the public sector.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team dedicated to advancing AI responsibly.
- Why this job: Shape the future of AI governance and make a significant impact on public sector projects.
- Qualifications: Experience in AI engineering and a strong understanding of model governance.
The predicted salary is between 80000 - 98000 £ per year.
Scale AI, Inc. in the United Kingdom is seeking a Staff Applied AI Engineer for its Global Public Sector team.
You will raise the bar for how AI is built, governed, and evaluated across the team, and serve as the senior technical voice for the most sensitive AI decisions our clients face.
Your work will define standards for responsible AI, model governance, and production MLOps, architect high-risk systems, and build reusable capabilities that enable multiple teams to ship safer AI at scale.
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Senior Applied AI Engineer — Public Sector Standards Architect employer: Scale AI, Inc.
As a Technical Program Manager at our London office, you will thrive in a dynamic and innovative work culture that prioritises collaboration and employee growth. We offer competitive benefits, including professional development opportunities and a supportive environment that encourages creativity and strategic thinking. Join us to be part of a forward-thinking team that is shaping the future of AI technology while enjoying the vibrant atmosphere of one of the world's leading cities.
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We think this is how you could land Senior Applied AI Engineer — Public Sector Standards Architect
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We think you need these skills to ace Senior Applied AI Engineer — Public Sector Standards Architect
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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