Software Engineer, Bioresilience, DeepMind

Google LLC; Greater London; On-site; GBP 115,000 - 190,000; Full time

Job summary

DeepMind in London is seeking a Software Engineer for Bioresilience to advance AI-driven biological data processing and production-grade systems. You will design scalable software, build data pipelines, and collaborate with cross-functional teams across biology, research, and engineering.

Ideal candidates will have a bachelor’s degree or equivalent practical experience and at least 8 years in software development, with preference for those who have applied deep learning to biological data and

Qualifications

• Bachelor’s degree or equivalent practical experience required.
• 8 years of software development experience.

Responsibilities

• Partner with product leadership and internal cross-functional teams to define product requirements and software architecture.
• Build robust data pipelines for complex biological datasets and optimize model inference and serving infrastructure for production use.
• Contribute to engineering and development of novel solutions from 0 to 1 using internal platforms and tools.
• Translate experimental research prototypes into maintainable software and share deployment telemetry with research teams.
• Set software engineering best practices for GenAI systems, focusing on testing, reliability, security, and maintainability.

Skills

Software development

Education

Bachelor’s degree or equivalent practical experience

Job description

Software Engineer, Bioresilience, DeepMind

Share Software Engineer, Bioresilience, DeepMind

corporate_fare DeepMind place London, UK

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.

Preferred qualifications:

• Experience applying deep learning models to biological data (such as functional genomics or protein sequence data).
• Experience working with life science data, such as in bioinformatics or health informatics.
• Ability to identify, break down, and solve ambiguous and complex process and technical problems that span across many teams and organizations.

About the job

Artificial intelligence will be one of humanity’s most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer varied learning opportunities and career pathways for those driven to achieve exceptional results through collective effort.

Responsibilities

• Partner closely with product leadership, external parties (e.g., biosecurity organizations, research institutes, public health authorities) and internal cross-functional teams to navigate ambiguity, deeply understand real-world biological defense challenges, and define clear product requirements and software architecture.
• Build robust data pipelines for complex biological datasets, implement scalable evaluation frameworks, and optimize model inference and serving infrastructure for production use.
• Contribute extensively to the engineering and development of novel solutions from 0 to 1, utilizing internal platforms and tools to build reliable production applications, agents, and workflows powered by GDM foundation models.
• Translate experimental research prototypes into maintainable software, sharing deployment telemetry, system performance constraints, and edge cases with core research teams to inform future model development.
• Set software engineering best practices for applied GenAI systems, focusing on testing, system reliability, security, and maintainability across deployed tools.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

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