Applied AI Engineer, International Public Sector in London

Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:

• Creating custom AI applications that will impact millions of citizens
• Generating high-quality training data for national LLMs
• Upskilling and advisory services to spread the impact of AI

As an Applied AI Engineer, you’ll build custom end-to-end AI applications for our public sector clients using computer vision and/or language models created by our team. You will also get the opportunity to fine-tune these sophisticated models to maximize performance and customer value.

You will:

• Partner with public sector clients to deeply understand their challenges and define AI-driven solutions
• Build and deploy end-to-end AI applications into production leveraging computer vision and/or language models, including fine-tuning and optimization
• Collaborate with cross-functional teams, including data annotation specialists, to create high-quality training datasets
• Design and maintain robust evaluation frameworks to ensure the reliability and effectiveness of AI models
• Participate in customer engagements, including occasional travel (approximately two weeks per quarter)
• Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing

Ideally you’d have:

• A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
• 2+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, Java, C++, or TypeScript/JavaScript
• 1+ years of experience applying AI/ML in production environments, such as training models, deploying deep learning solutions, or building generative AI applications
• Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP)
• Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets
• Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment

Nice to haves:

• Experience working at a startup, particularly as founding engineer
• Experience building and deploying large-scale AI solutions
• Proficiency in Arabic (if focused on language models)

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.