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# Software Engineer III, Machine Learning, Search

- **Company:** Google
- **Location:** UK
- **Experience:** Experienced
- **Salary:** £41,840.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Code Review, Data Structures, Software Debugging, Distributed Systems, Design of User Interfaces, Push Technology, Information Retrieval, Machine Learning, Natural Language Processing, Systems Development Life Cycle, Tensorflow, Software Engineering, Software Systems, Systems Architecture, Data Storage Technologies, Google Search, Deep Learning, Information Technology, Search Engines, Programming Languages
- **Published:** September 14, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5210483619

## About the Role

* Bachelor's degree or equivalent practical experience.
 * 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
 * 2 years of experience with data structures or algorithms in either an academic or industry setting., * Master's degree or PhD in Computer Science or related technical field.
 * 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning and/or natural language processing.
 * Experience developing accessible technologies.

## Description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

In Google Search, we're reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Responsibilities

 * Write product or system development code.
 * Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
 * Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
 * Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
 * Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.


## Related Videos

- [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning)
- [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs)
- [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data)
- [ChatGPT vs Google: SEO in the Age of AI Search - Eric Enge](https://www.wearedevelopers.com/videos/1287-chatgpt-vs-google-seo-in-the-age-of-ai-search-eric-enge)
- [30 Golden Rules of Deep Learning Performance](https://www.wearedevelopers.com/videos/11-30-golden-rules-of-deep-learning-performance)
- [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale)

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