New Grad Software Engineer – AI for Public Sector in London

New Grad Software Engineer – AI for Public Sector in London

London Full-Time 25650 - 31350 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Own customer-facing work and ship impactful AI products from day one.
  • Company: Join Scale AI, a leader in AI solutions for the public sector.
  • Benefits: Competitive salary, flexible hours, and opportunities for rapid career growth.
  • Other info: Dynamic team focused on innovation and upskilling clients.
  • Why this job: Make a real difference with AI while working directly with clients.
  • Qualifications: Degree in CS or related field, plus experience with Python and React.

The predicted salary is between 25650 - 31350 £ per year.

Scale AI, Inc. is hiring a New Grad Software Engineer in 2026/2027 to own customer-facing work from day one.

You will ship products, talk directly to customers, and iterate rapidly on high-impact AI applications and data pipelines.

The Global Public Sector team focuses on creating AI solutions, training data for national LLMs, and upskilling clients.

Ideal candidates have a degree in CS or related field, internship experience, and hands-on work with Python, Type Script, React, and Mongo DB.

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New Grad Software Engineer – AI for Public Sector in London employer: Scale AI, Inc.

At Scale AI, Inc., we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to thrive. As the Head of Enterprise AI Design, you will not only lead a talented team but also have access to exceptional growth opportunities in a cutting-edge field. Our commitment to collaboration and user-centric design ensures that your contributions will have a meaningful impact on the future of AI-enabled workflows.

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Contact Details:

Scale AI, Inc. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land New Grad Software Engineer – AI for Public Sector in London

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Scale AI, Inc. or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Scale AI, Inc..

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Scale AI, Inc..

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Scale AI, Inc. that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace New Grad Software Engineer – AI for Public Sector in London

Python
TypeScript
React
MongoDB
Customer Engagement
Product Development
AI Applications

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Scale AI, Inc..

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Scale AI, Inc. and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Scale AI, Inc.

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Scale AI, Inc. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.