Software Engineer (AI/ML)

Location: London, United Kingdom

Company

hirify.global develops and deploys responsible AI solutions for government, finance, retail, energy, life sciences, and defence clients.

What you will do

• Build and deploy production-grade machine learning software, tools, and infrastructure.
• Create reusable and scalable solutions for ML system delivery and Frontier AI model capability testing.
• Collaborate with engineers, data scientists, commercial leads, clients, and Frontier Labs.
• Lead technical scoping and architectural decisions for feasible, high-impact solutions.
• Define and implement standards for deploying machine learning at scale.
• Advise customers and partners by translating complex ML concepts for non-technical stakeholders.

Requirements

• Strong Python skills and experience with software engineering best practices.
• Experience building LLM applications, using multi-agent harness tooling, and applying AI safety evaluation procedures.
• Hands-on experience with AWS, Azure, or GCP, including cloud architecture and security.
• Experience with Docker and Kubernetes for building and managing applications at scale.
• Knowledge of probability, statistics, core machine learning concepts, and the full ML lifecycle.
• Experience operationalising models built with Scikit-learn, TensorFlow, or PyTorch, plus strong communication skills.

Culture & Benefits

• Work on high-stakes national security and AI safety missions.
• Collaborate with government organisations and major technology companies.
• Inclusive environment that encourages applications from people of all backgrounds.
• Part-time hours may be discussed.
• AI tools may be used for research and interview preparation, but not to generate answers during live interviews.

Hiring process

• Talent Team screen lasting 30 minutes.
• Pair programming interview lasting 90 minutes.
• System design interview lasting 90 minutes, followed by a 60-minute commercial interview.