> Markdown version of [/jobs/ext/2102894-software-engineer-science-and-strategic-initiatives-deepmind](https://www.wearedevelopers.com/jobs/ext/2102894-software-engineer-science-and-strategic-initiatives-deepmind). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

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# Software Engineer, Science and Strategic Initiatives, DeepMind

- **Company:** Google
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £174,000.0 - £252,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Cyber Security, Core Foundation, Learning Management Systems, Programming Tools, Distributed Systems, Python (Programming Language), Software Engineering, Diagnostic Tools, Large Language Models, Multi-Agent Systems, Build Management, Information Technology, Machine Learning Operations, Data Pipelines, Apache Beam
- **Published:** August 18, 2026
- **Apply:** https://dejobs.org/x/x/78E78D7ED5EF4313843E77FB032034F8/job/

## About the Role

* Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
 * 5 years of experience in software design and development using Python, distributed systems, or cloud infrastructure.
 * Experience building, deploying, and operating multi-agent or AI systems in production or near-production environments.
 * Experience with evaluation frameworks, metrics design, or quality measurement for machine learning systems.
 * Experience collaborating with cross-functional research teams, external partners, or enterprise customers to translate requirements into technical solutions., * Master's degree or PhD in Computer Science, Artificial Intelligence, or a related field.
 * Experience with LLM agents, autonomous multi-step reasoning systems, meta-learning, or self-improving ML pipelines.
 * Experience with large-scale data pipelines (e.g., Apache Beam) or foundation model training and fine-tuning at scale.
 * Experience working in research environments or track record of published research in relevant AI/ML conferences.
 * Domain experience in life sciences, drug discovery, cybersecurity, or developer tools/coding agents.

## Description

* Design and build the self-improving meta-agent framework-scaffolding, diagnostic tools, and feedback loops across science, cybersecurity, and coding agents.
 * Deploy, monitor, and improve AI agents in real-world settings with enterprise customers and academic partners, transitioning direct engagements into a scalable deployment model.
 * Build automated evaluation pipelines that capture real-world agent quality, robustness, and performance beyond lab benchmarks.
 * Develop cross-engagement learning systems and memory architectures that extract and generalize insights across multi-agent deployments.
 * Characterize core foundation model limitations with empirical evidence, collaborating with Google DeepMind research teams to drive foundational improvements.


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