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AI Engineer - Zonda United Kingdom

Job in Glasgow, Glasgow City Area, G1, Scotland, UK
Listing for: CoStar Group, Inc.
Full Time position
Listed on 2026-10-26
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 40000 - 60000 GBP Yearly GBP 40000.00 60000.00 YEAR
Job Description & How to Apply Below
AI Engineer I
- Zonda
- Glasgow, Scotland, United Kingdom

Job Description

Company Overview:
CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index, CoStar Group is on a mission to digitize the world's real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers.

We've continually refined, transformed, and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate.

About

Zonda:

Zonda is redefining the future of housing. We are perfectly placed in the heart of the fast-growing real estate industry. We are making big bets on the future of real-estate, trailblazing a 2030 vision for the industry. Here at Zonda, you'll be able to use your passion and curiosity to drive the next generation of real estate analysts, advisors, technologists, and marketers.

Learn more about Zonda

The AI Engineer I is an early-career engineering role focused on building and operating AI powered products. You will work with experienced engineers and product stakeholders to develop, evaluate, deploy, and improve LLM and machine-learning applications. The role requires strong software engineering fundamentals, practical understanding of modern AI systems, and an ability to learn quickly and solve problems pragmatically. This role is suitable for strong graduates and engineers in the early stages of their AI/ML career.

Major

Job Responsibilities and Related Duties:
  • Develop and maintain components of LLM, agentic, retrieval, and other AI/ML applications.
  • Work with engineers and product stakeholders to translate product requirements into technical solutions.
  • Build experiments and evaluations to measure AI system quality, reliability, latency, and cost.
  • Prepare and integrate data required by AI applications, including retrieval and embedding-based systems.
  • Contribute to deploying, monitoring, debugging, and improving AI services in production.
  • Write clean, tested, maintainable code and contribute to code reviews, technical documentation, and team engineering practices.
  • Keep up to date with developments in applied AI and evaluate new techniques and tools where they can improve our products.
Qualifications:

Bachelor’s degree in Computer Science, Engineering, Mathematics, AI/ML, or a related field, or equivalent practical experience. 0-2 years of relevant professional experience. Internships, research, and substantial academic or personal projects are relevant experience. Strong Python programming skills and sound software engineering fundamentals. Practical experience building at least one meaningful AI/ML application or project. Sound understanding of modern LLM application concepts such as prompting, structured outputs, tool use, embeddings, retrieval/RAG, or agentic workflows.

Good analytical and problem-solving skills, including the ability to evaluate and debug AI system behavior. Familiarity with Git and collaborative software development. Clear communication skills and the ability to work effectively with both technical and non-technical colleagues.

Nice to Have:
  • Experience with LLM or agent…
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