Senior Machine Learning Engineer (AI Safety)

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

• Lead technical scoping and architectural decisions for high-impact machine learning systems and Frontier AI model capability testing.
• Design and build production-grade ML software, tools, and scalable infrastructure.
• Define and implement standards for deploying machine learning systems at scale.
• Collaborate with engineers, data scientists, product managers, commercial teams, clients, and technology partners to solve critical challenges.
• Advise customers and partners by translating complex AI concepts into actionable strategies.
• Mentor junior engineers and contribute to engineering culture and technical depth.

Requirements

• Significant experience building and deploying secure, scalable LLM applications, including multi-agent harness tooling and AI safety evaluation procedures.
• Strong understanding of the full machine learning lifecycle and experience operationalising models with TensorFlow or PyTorch.
• Deep software engineering expertise and strong Python skills.
• Hands-on experience with AWS, Azure, or GCP, including cloud architecture, infrastructure management, and end-to-end cybersecurity.
• Extensive experience with Docker and Kubernetes for building and managing applications at scale.
• Strong ownership, autonomy, communication, and stakeholder-management skills in fast-paced environments.

Culture & Benefits

• Work on high-stakes AI safety and national security missions with measurable real-world impact.
• Collaborate with government organisations, major technology companies, and Frontier Labs.
• Inclusive culture focused on intellectual curiosity, diversity of thought, and responsible technology.
• Part-time hours can be discussed.

Hiring process

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