Principal Software Engineer, GPS

Posted 10 Days Ago
Be an Early Applicant
London, Greater London, England, GBR
In-Office
Expert/Leader
Artificial Intelligence • Big Data • Machine Learning
The Data Platform for AI: High quality training and validation data for AI applications.
The Role
Lead complex AI engineering engagements from client discovery through production. Build prototypes involving AI agents, RAG systems, evaluation pipelines, and data and knowledge platforms; define secure, reusable architectures; resolve difficult technical problems; mentor engineers; and advise senior clients on technical and business trade-offs. The role also contributes reusable capabilities to the core platform and requires travel to client sites as engagements require.
Summary Generated by Built In
Principal Software Engineer, Global Public Sector 

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 a Principal Engineer to join a small team of our most senior engineers who take on the problems no one else can. You will work at the earliest stage of our engagements: shaping the technical approach with clients, defining the technology we build on, and turning ideas into working prototypes fast. You will step in when a project is stuck or a problem is unusually hard, and turn what you learn in the field into shared capabilities every team can build on.

This is a very senior, hands-on role. Our engineering organisation is young, so mentoring is a core part of the job: you will raise the bar for how we design, build and deliver, and grow the next generation of technical leaders around you. The role is based in London.

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:

  • Take on the hardest technical problems across our programs, stepping in where projects are stuck or the path forward is unclear
  • Lead the technical side of early engagements: work with clients to scope problems, shape proofs of concept and keep the scope needed to prove value as small as possible
  • Build working prototypes quickly, from AI agents and evaluation pipelines to data and knowledge systems, and take the most promising ones to production
  • Define the technology and architecture our solutions are built on, keeping them cohesive, secure and reusable across clients
  • Mentor engineers across a young organisation through pairing, design and code reviews, and set the bar for engineering excellence
  • Partner with Directors, VPs and client executives to navigate high-stakes business and technical trade-offs, including travel to client sites as engagements require
  • Turn patterns from the field into reusable capabilities, contributing components back to our core platform so every engagement starts further ahead
  • Lead from the front on agentic engineering, both in the AI systems we build and in how our teams use coding agents day to day, and push the boundaries of what’s possible with AI

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)
  • 10+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++
  • 5+ years of experience applying AI/ML in production environments, such as building generative/agentic AI applications, RAG systems or evaluation pipelines
  • Strong problem-solving skills, with a track record of taking ambiguous, early-stage problems from a blank page to a working prototype and into production
  • Deep expertise in system design and architecture, including experience with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)
  • Experience mentoring engineers and raising the technical bar of a team or organisation
  • Comfort working directly with clients, from their engineering teams to senior executives
  • Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment

Nice to haves:

  • Past experience in a forward deployed engineering role
  • Experience working at a startup, particularly as a founding engineer
  • Experience building and deploying large-scale AI solutions
  • Experience delivering technology programs for governments or regulated industries
  • Experience deploying solutions on-prem or in customer-controlled environments
  • Current or previous UK government security clearance (e.g. SC or DV)

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 [email protected]. 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.

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 [email protected]. 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.

Skills Required

  • Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field, or equivalent practical experience
  • 10+ years of post-graduation engineering experience
  • Proficiency in Python, TypeScript/JavaScript, Java, or C++
  • 5+ years of experience applying AI/ML in production environments
  • Experience building generative or agentic AI applications, RAG systems, or evaluation pipelines
  • Strong problem-solving skills and experience taking ambiguous problems from concept through production
  • Deep expertise in system design and architecture
  • Experience with cloud-based machine learning platforms such as AWS, GCP, or Azure
  • Experience mentoring engineers and raising technical standards
  • Experience working directly with clients, including senior executives
  • Excellent written and verbal communication skills
  • Experience in a forward deployed engineering role
  • Startup experience, particularly as a founding engineer
  • Experience building and deploying large-scale AI solutions
  • Experience delivering technology programs for governments or regulated industries
  • Experience deploying solutions on-premises or in customer-controlled environments
  • Current or previous UK government security clearance, such as SC or DV

Scale AI Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Scale AI and has not been reviewed or approved by Scale AI.

  • Healthcare Strength — Company materials and third‑party pages describe comprehensive medical, dental, and vision coverage along with mental‑health services and an EAP. Health insurance is portrayed as strong, with options like HSA/FSA and indications of high premium coverage.
  • Leave & Time Off Breadth — Descriptions highlight generous PTO, paid holidays and sick time, bereavement, volunteer time, and role‑dependent flexibility or remote options. This breadth is positioned as part of a supportive time‑off approach, with specifics varying by location.
  • Equity Value & Accessibility — Full‑time offers commonly include equity and an ESPP, which can meaningfully lift total compensation, especially in engineering and senior roles. Job postings and compensation snapshots consistently reference base‑plus‑equity packages aligned with competitive AI market pay.

Scale AI Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: San Francisco, CA
523 Employees
Year Founded: 2016

What We Do

Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.

Similar Jobs

SEON Logo SEON

Account Manager

Artificial Intelligence • Cybersecurity
Hybrid
London, Greater London, England, GBR
415 Employees

Comcast Logo Comcast

Account Manager

Digital Media • Information Technology • News + Entertainment
Hybrid
London, Greater London, England, GBR
115000 Employees

Airwallex Logo Airwallex

Customer Success Manager

Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
In-Office
Manchester, Greater Manchester, England, GBR
2700 Employees

Wise Logo Wise

Data Analyst

Fintech • Mobile • Payments • Software • Financial Services
Hybrid
London, Greater London, England, GBR
9000 Employees

Similar Companies Hiring

Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
85 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
33 Employees
Vega Thumbnail
Artificial Intelligence • Automotive • Insurance • Transportation
US
65 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account