Senior Software Engineer (Inference Platform)

Location: London, United Kingdom. Hybrid working requires coming into the office three days a week, currently Tuesday, Wednesday, and one additional team-dependent day.

Company

hirify.global develops AI models and computational drug design technologies to accelerate scientific discovery and the development of new medicines.

What you will do

• Develop and operate an inference platform serving machine learning model fleets for scientific applications.
• Define the platform strategy and build roadmaps for its continued maturity.
• Architect and optimize inference services for high throughput, scalability, and feature parity across the model-serving stack.
• Identify and solve core scaling limits as data volumes and model sizes increase.
• Make technical decisions on tooling and architecture while partnering with science, product, and operations teams.
• Deliver reliable, well-tested, user-focused platform features.

Requirements

• Experience architecting and managing large-scale AI/ML workloads in production.
• Significant experience deploying and managing complex workloads with Kubernetes, including GKE.
• Expertise in cloud compute design on Google Cloud Platform.
• Professional familiarity with NVIDIA GPU generations and high-performance computing.
• Strong programming skills and a reliability-first approach to software development.
• Ability to work from London and attend the office three days per week.

Nice to have

• Experience spanning ML software engineering and infrastructure SRE roles.
• Experience leading multidisciplinary projects and managing complex stakeholder requirements.
• Familiarity with workload scheduling, ML efficiency research, and hardware benchmarking.
• Experience with Google TPU generations and specialized ML-driven R&D cycles.

Culture & Benefits

• Collaborative, interdisciplinary environment connecting drug discovery, machine learning, science, product, and operations.
• Values centered on thoughtful work, initiative and integrity, determination, and collaboration.
• Shared learning and support for employees with diverse experiences and perspectives.
• Hybrid work model designed to support in-person knowledge sharing and relationships.
• Accommodations are available for additional needs that affect participation in the hybrid approach.