Member of Technical Staff, Applied AI (Generative AI)

Location: London, United Kingdom; hybrid. On-site work at international partner locations may be required.

Company

hirify.global builds frontier generative models that learn the fundamentals of biology for applications in synthetic biology, pharmaceuticals and biotechnology.

What you will do

• Develop a deep understanding of generative model architectures, training data, capabilities and limitations.
• Deploy, adapt and fine-tune models in pharmaceutical and biotech customer environments.
• Design production-grade API integrations, model-serving infrastructure and ML data pipelines for inference, evaluation and feedback.
• Ensure customer deployments meet enterprise requirements for security, performance, reliability, compliance and auditability.
• Work directly with scientific and engineering stakeholders to scope requirements, troubleshoot issues and deliver solutions.
• Gather customer feedback, create integration documentation and share technical knowledge internally and at conferences.

Requirements

• Strong ML research experience in generative modelling, including understanding of model architectures, training dynamics and inference behaviour.
• Experience building robust, tested ML software, using version control and code review systems.
• Experience serving large models through APIs, running inference on cloud hardware, and parallelising data and models across accelerators.
• Experience optimising deep learning models for training and inference speed, cost-effectiveness and reliability.
• Experience in computational biology or protein design, with an understanding of biological modelling data and evaluation workflows.
• Experience delivering enterprise software and an academic background in physics, biology, chemistry or a related natural science.

Culture & Benefits

• Interdisciplinary collaboration across machine learning, protein engineering and biology.
• Continuous learning, knowledge sharing and participation in internal reading groups.
• Private health insurance and pension contributions.
• Generous leave policies, including gender-neutral parental leave.
• Hybrid working, team offsites and travel opportunities.