Senior Machine Learning Engineer (AI)

Location: Hybrid in London, UK

Company

hirify.global delivers responsible, human-centric AI solutions for clients across government, finance, retail, energy, life sciences, and defence.

What you will do

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

Requirements

• Significant experience across the full machine learning lifecycle and operationalising models built with TensorFlow or PyTorch.
• Deep software engineering expertise and strong Python skills.
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP, including architecture, security, and infrastructure.
• Extensive experience with Docker and Kubernetes for building and managing applications at scale.
• Strong communication skills for guiding technical teams and senior non-technical stakeholders.
• Ownership and autonomy in fast-paced, high-growth environments.

Culture & Benefits

• Work in a cross-functional environment focused on responsible AI and measurable positive impact.
• Collaborate with clients across multiple industries and use cases.
• Applications are welcomed 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

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