Machine Learning Engineer (AI)

Location: London, UK; hybrid

Company

hirify.global builds 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 critical client challenges.
• Lead technical scoping and architectural decisions to ensure project feasibility and measurable impact.
• Define and implement standards for deploying machine learning at scale.
• Advise customers and partners, translating complex ML concepts for non-technical stakeholders.

Requirements

• Experience across the full machine learning lifecycle and operationalising models built 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 using Docker and Kubernetes to build and manage applications at scale.
• Understanding of probability, statistics, and common machine learning techniques.
• Excellent communication skills and the ability to guide technical teams and advise non-technical stakeholders.

Culture & Benefits

• Work on responsible AI projects with measurable impact in the clean energy transition and other industries.
• Collaborate with diverse cross-functional teams and a wide range of clients.
• Autonomy to own scope and deliver solutions in a fast-paced environment.
• Part-time hours may be discussed.
• hirify.global supports diverse applications and reviews every application by a human.

Hiring process

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