Machine Learning Engineer (AI)

Location: Hybrid in London, United Kingdom

Company

hirify.global develops and deploys responsible AI solutions for clients across government, finance, retail, energy, life sciences, and defence. The Life Sciences team builds AI solutions for pharma firms, academic research centres, and MedTech start-ups to optimise the research and commercialisation of therapies.

What you will do

• Build and deploy production-grade machine learning software, tools, and infrastructure.
• Create reusable and scalable solutions that accelerate delivery of machine learning 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 impact.
• Define and implement standards for deploying machine learning at scale.
• Advise customers and partners, translating complex machine learning concepts for stakeholders.

Requirements

• Understand the full machine learning lifecycle and have experience operationalising models built with Scikit-learn, TensorFlow, or PyTorch.
• Strong Python skills and solid experience with software engineering best 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.
• Comfort with core machine learning concepts, including probability, statistics, and common learning techniques.
• Excellent communication skills, with the ability to guide technical teams and advise non-technical stakeholders.
• Ability to work in a fast-paced environment with autonomy to own scope, solve problems, and deliver solutions.

Culture & Benefits

• Work in a hybrid setup based in London.
• Collaborate with diverse teams united by intellectual curiosity and a desire to create measurable positive impact.
• Applications are encouraged from people of all backgrounds, ethnicities, genders, religions, and sexual orientations.
• Part-time hours may be discussed.
• AI may be used for research and interview preparation, but not to generate answers during live interviews; interviews use an optional AI note-taker.

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.