At a Glance
- Tasks: Build and scale a cutting-edge Generative AI platform with innovative features.
- Company: Join Scale, a leader in AI technology with a mission to impact the world.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic team environment with a commitment to diversity and inclusion.
- Why this job: Make a real difference in AI while working with top industry leaders.
- Qualifications: 4+ years of engineering experience and familiarity with modern AI tools.
The predicted salary is between 63000 - 77000 £ per year.
Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more.
We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment.
The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems.
You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models.
You will solve hard engineering problems in scalability and reliability.
You will
- Own large new areas within our product, driving features from design through production deployment.
- Work across backend, frontend, and interacting with LLMs and ML models
- Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components.
- Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences.
- Deliver experiments and new features quickly, maintaining high quality and tight feedback loops with customers.
- Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP.
- Adapt quickly—learning new technologies, frameworks, and tools as needed across the stack.
Ideally you'd have
- 4+ years of full-time engineering experience, post-graduation
- Experience scaling or shipping products at high-growth startups.
- Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome).
- Proficiency with SQL and modern API development.
- Experience with Kubernetes, containerization, and microservice architectures.
- Experience working with at least one major cloud provider (AWS, GCP, or Azure).
PLEASE NOTE: 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.
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, Ernst & Young, 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.
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
Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates.
We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws.
Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.
Please see our privacy policy for additional information.
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Software Engineer, Platform in London employer: Scale
At Scale, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London office provides unique opportunities for professional growth, with access to cutting-edge technology and the chance to work on impactful AI projects in the public sector. We value our employees' contributions and support their development through continuous learning and mentorship, making Scale a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer, Platform 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 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.
✨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.
✨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 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 Software Engineer, Platform in London
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.
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 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
✨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 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.
