At a Glance
- Tasks: Lead the development of AI applications that transform public sector operations.
- Company: Join Scale, a leader in AI solutions for global government challenges.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Be part of a diverse team committed to innovation and inclusivity.
- Why this job: Shape the future of AI while making a real impact on millions of citizens.
- Qualifications: 6+ years in technical roles with expertise in AI and public sector experience.
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
As a Production AI Ops Lead, you will design and develop the production lifecycle of full‑stack AI applications, while supporting end‑to‑end system reliability, real‑time inference observability, sovereign data orchestration, high‑security software integration, and the resilient cloud infrastructure required for our international government partners. At Scale, we’re not just building AI solutions—we’re enabling 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 founding member of our team, we’d love to hear from you.
You will:
- Own the production outcome: Take full accountability for the long‑term performance and reliability of AI use cases deployed across international government agencies.
- Ensure Full‑Stack integrity: Oversee the end‑to‑end health of the platform, ensuring seamless integration between the AI core and all full‑stack components, from APIs to UI, to maintain a responsive and production‑ready environment.
- Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability.
- Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks.
- Incident command: Lead the response for production issues in mission‑critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again.
- Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials.
- Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases.
Ideally, you have:
- Experience: 6+ years in a high‑impact technical role (SRE, FDE or MLOps) with experience in the public sector.
- Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI.
- System architecture proficiency: Proven experience maintaining production‑grade applications with a deep understanding of the full request lifecycle‑connecting frontend/API layers to the backend and AI core.
- Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools.
- Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them.
- Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy.
- Customer communication: The ability to explain to a high‑ranking official why the performance of the system has degraded and how we are fixing it.
About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high‑quality data and full‑stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. 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.
AI Applications Ops Lead (GPS) employer: Scale AI
At Scale, we pride ourselves on being an exceptional employer, particularly for those passionate about leveraging AI to make a meaningful impact in the public sector. Our inclusive work culture fosters collaboration and innovation, while our commitment to employee growth ensures that you will have ample opportunities to develop your skills and advance your career. Located at the forefront of AI technology, you will be part of a team that not only addresses critical challenges but also empowers government agencies worldwide to enhance their operations and better serve citizens.
StudySmarter Expert Advice🤫
We think this is how you could land AI Applications Ops Lead (GPS)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Scale. A friendly chat can open doors and give you insider info on what it’s really like to work there.
✨Tip Number 2
Prepare for the interview by diving deep into AI applications and public sector challenges. Show us you’re not just a tech whiz but also passionate about making a difference in the community.
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of how you've tackled tough problems in past roles. We love hearing about real-world experiences that showcase your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, it shows you’re serious about joining our mission at Scale.
We think you need these skills to ace AI Applications Ops Lead (GPS)
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in AI applications and the public sector. We want to see how your skills align with our mission at Scale!
Showcase Your Technical Skills:Don’t hold back on detailing your technical expertise! Mention your experience with modern AI stacks, system architecture, and any relevant tools you've used. This is your chance to shine!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your past roles and achievements. We appreciate a well-structured application that gets straight to the point.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Let’s get started on this journey together!
How to prepare for a job interview at Scale AI
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI applications, especially in the public sector. Be ready to discuss specific technologies like Kubernetes and LLM observability tools, as well as how they apply to real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled production issues in the past. Highlight your ability to lead incident responses and how you’ve built systems to prevent future problems. This will show that you take ownership and reliability seriously.
✨Understand Compliance and Security
Familiarise yourself with international government security standards and the complexities involved in deploying sovereign AI. Being able to discuss these topics will demonstrate your global perspective and readiness for the role.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You might need to translate deep performance metrics into insights for senior officials, so being able to communicate effectively is key. Think about how you would explain a model failure and the steps you're taking to fix it.