Machine Learning Engineer (AI)

Location: London, UK; hybrid work with occasional on-site work for government clients

Company

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

What you will do

• Build and deploy production-grade machine learning software, tools, and infrastructure.
• Create reusable and scalable solutions that accelerate delivery of ML systems.
• Collaborate with engineers, data scientists, and commercial leads to solve client challenges.
• Lead technical scoping and architecture 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 stakeholders.

Requirements

• Experience across the full machine learning lifecycle and operationalising models with Scikit-learn, TensorFlow, or PyTorch.
• Strong Python skills and solid software engineering practices.
• 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 probability, statistics, and common machine learning techniques.
• Excellent communication skills and the ability to advise non-technical stakeholders.

Culture & Benefits

• Work on responsible AI projects focused on public services and measurable positive impact.
• Autonomy to own scope and deliver solutions in a fast-paced environment.
• Applications are encouraged from people of all backgrounds and identities.
• 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

• 30-minute Talent Team screen.
• 90-minute pair programming interview and 90-minute system design interview.
• 60-minute commercial interview.