At a Glance
- Tasks: Create impactful AI applications for the public sector and tackle real-world challenges.
- Company: Join a rapidly growing team at Scale, focused on transformative AI solutions.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic work environment with a commitment to inclusivity and equal opportunity.
- Why this job: Shape the future of AI while making a difference for millions of citizens.
- Qualifications: Strong engineering background with experience in AI/ML and programming languages.
The predicted salary is between 70000 - 90000 € per year.
Scale’s rapidly growing Global 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
We are hiring Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using the latest developments in the field of AI. You will also get the opportunity to develop and be part of creating custom datasets, evaluations, and fine-tuning these sophisticated models to maximize performance and apply on real world use cases with global reach.
At Scale, we’re not just building AI solutions—we are building repeatable blocks to enable the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a member of our rapidly expanding team, we’d love to hear from you.
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 latest developments from the biggest AI labs, and open source models
- 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)
- 7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++.
- 2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelines
- Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)
- 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
- Strong written and verbal communication skills to operate in a cross-functional team environment
- Proficiency in Arabic (if focused on language models)
Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an 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. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at.
We comply with the United States Department of Labor’s Pay Transparency provision.
Applied AI Engineer (Global Public Sector) in London employer: Scale AI
At Scale, we pride ourselves on being an exceptional employer within the Global Public Sector, where our innovative work culture fosters collaboration and creativity. Our commitment to employee growth is evident through hands-on knowledge sharing and opportunities to engage with cutting-edge AI technologies that make a real difference in public service. With a focus on inclusivity and support for diverse backgrounds, we ensure that every team member can thrive while contributing to impactful solutions that serve millions of citizens worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer (Global Public Sector) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the public sector and AI space on LinkedIn. Join relevant groups and engage in discussions to get your name out there. You never know who might have a lead on that perfect Applied AI Engineer role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those that demonstrate your ability to solve real-world problems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you've tackled challenges in past projects, particularly in AI/ML environments. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Scale and making an impact in the public sector.
We think you need these skills to ace Applied AI Engineer (Global Public Sector) in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Applied AI Engineer role. Highlight your experience with AI applications and any relevant projects that showcase your skills in Python, TypeScript, or Java.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex challenges in previous roles. We want to see your data-driven approach and how you’ve iterated on machine learning models to achieve results.
Communicate Clearly:Since collaboration is key in our cross-functional teams, ensure your written communication is clear and concise. Use straightforward language to explain your technical experience and how it relates to the public sector.
Apply Through Our Website:We encourage you to submit your application directly through our website. This way, we can ensure your application gets the attention it deserves and you’ll be one step closer to joining our team!
How to prepare for a job interview at Scale AI
✨Know Your AI Stuff
Make sure you brush up on the latest developments in AI and machine learning. Be ready to discuss how you've applied these technologies in real-world scenarios, especially in public sector contexts. This shows you're not just knowledgeable but also passionate about making an impact.
✨Understand the Client's Needs
Before the interview, research common challenges faced by public sector clients. Think about how your skills can address these issues with AI-driven solutions. Being able to articulate this will demonstrate your ability to partner effectively with clients.
✨Showcase Your Collaboration Skills
Since you'll be working with cross-functional teams, prepare examples of how you've successfully collaborated in the past. Highlight your communication skills and how they helped in building high-quality training datasets or deploying AI applications.
✨Prepare for Technical Questions
Expect technical questions related to programming languages like Python or Java, and cloud-based ML tools. Brush up on your coding skills and be ready to solve problems on the spot. This will show that you’re not only experienced but also capable of thinking on your feet.