Bioresilience AI Software Engineer

DeepMind Technologies Limited; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

DeepMind Technologies Limited in London is seeking outstanding software engineers with a strong background in AI and biology to advance models and data pipelines. The role spans cross-team collaboration to turn research into reliable production systems.

You will work on maintaining scalable inference, robust testing, and deploying GenAI tooling that handles complex biological data while aligning with safety, ethics, and societal impact goals.

Qualifications

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

Responsibilities

• Partner closely with product leadership, external parties 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.

Education

Bachelor’s degree or equivalent practical experience.

Tools

8 years of experience in software development

Job description

DeepMind Technologies Limited in London is seeking outstanding software engineers with a strong background in AI and biology to advance models and data pipelines. The role spans cross-team collaboration to turn research into reliable production systems.

You will work on maintaining scalable inference, robust testing, and deploying GenAI tooling that handles complex biological data while aligning with safety, ethics, and societal impact goals.