Machine Learning Engineer (AI)

Location: London, United Kingdom; hybrid workplace

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 for AI and machine learning delivery across retail and consumer use cases.
• Collaborate with engineers, data scientists, product teams, commercial leads, clients, and partners to solve critical challenges.
• Lead technical scoping and architectural decisions covering project feasibility, scalability, security, and commercial impact.
• Define and implement standards for deploying machine learning systems in production.
• Apply machine learning to demand forecasting, customer analytics, personalisation, pricing, marketing optimisation, inventory management, operational efficiency, and customer experience.

Requirements

• Understanding of the full machine learning lifecycle and experience operationalising models built with Scikit-learn, TensorFlow, or PyTorch.
• Strong Python skills and solid software engineering best practices.
• Hands-on experience with cloud platforms and infrastructure such as AWS, Azure, or GCP, including architecture and security.
• Experience with containerisation and orchestration tools such as Docker and Kubernetes for building and managing applications at scale.
• Comfort with probability, statistics, experimentation, and common machine learning techniques.
• Excellent communication skills, including the ability to guide technical teams and advise non-technical stakeholders.
• Ability to work in a fast-paced environment, own scope, solve challenging problems, and deliver impactful solutions.

Nice to have

• Experience with retail, consumer, ecommerce, marketing, supply chain, or customer data.

Culture & Benefits

• Full-time employment in a hybrid London workplace.
• Work with diverse clients on measurable commercial outcomes and practical deployment of responsible AI.
• Part-time hours may be discussed.
• Applications are reviewed by a human; use of AI is permitted for research and interview preparation but not for generating answers during live interviews.
• Interviewers use an AI note-taker, with the option to opt out.
• Applications are encouraged from people of all backgrounds, ethnicities, genders, religions, and sexual orientations.

Hiring process

• Talent Team Screen: 30 minutes.
• Pair Programming Interview: 90 minutes; System Design Interview: 90 minutes.
• Commercial Interview: 60 minutes.