Machine Learning Engineer (AI Safety)

Location: London, United Kingdom; hybrid work

Company

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

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, partners, and Frontier Labs.
• Lead technical scoping and architectural decisions to ensure project feasibility and impact.
• Define and implement standards for deploying machine learning at scale.
• Advise customers and partners by translating complex ML concepts for technical and non-technical stakeholders.

Requirements

• Strong Python skills and experience with software engineering best practices.
• Experience building LLM applications, multi-agent harness tooling, and AI safety evaluation procedures.
• Hands-on experience with cloud platforms and infrastructure such as AWS, Azure, or GCP, including architecture and security.
• Experience with Docker and Kubernetes for building and managing applications at scale.
• Knowledge of core machine learning concepts, including probability, statistics, and common learning techniques.
• Experience across the machine learning lifecycle and operationalising models with Scikit-learn, TensorFlow, or PyTorch; strong communication skills are also required.

Culture & Benefits

• Work on responsible AI for national security, AI safety, and other high-impact missions.
• Collaborate with government organisations, major technology companies, and frontier AI labs.
• Operate in a fast-paced environment with autonomy to own scope and deliver solutions.
• Part-time hours may be discussed.
• Applications are encouraged from people of all backgrounds, and every application is reviewed by a human.

Hiring process

• Talent Team screen: 30 minutes.
• Pair programming interview: 90 minutes.
• System design interview: 90 minutes.
• Commercial interview: 60 minutes.