Senior Machine Learning Engineer (AI)

Location: London, United Kingdom; hybrid work

Company

hirify.global builds and deploys responsible AI solutions for clients across government, finance, retail, energy, life sciences, and defence, with the Energy, Transition and Environment unit focused on clean energy and net-zero outcomes.

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 standards and best practices for deploying machine learning at scale.
• Collaborate with engineers, data scientists, product managers, and commercial teams to solve critical client challenges.
• Act as a technical advisor to customers and partners, translating complex concepts into actionable strategies.
• Mentor junior engineers and shape engineering culture and technical depth.

Requirements

• Significant experience with the full machine learning lifecycle and operationalising models built with frameworks such as TensorFlow or PyTorch.
• Deep software engineering expertise and strong Python skills focused on robust, reusable systems.
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP, including architecture, security, and infrastructure.
• Extensive experience with container and orchestration tools such as Docker and Kubernetes for building and managing applications at scale.
• Ability to demonstrate ownership and autonomy in fast-paced, high-growth environments and drive projects to completion.
• Excellent communication skills and confidence guiding technical teams and senior non-technical stakeholders.

Culture & Benefits

• Work on responsible AI projects with measurable impact across energy, environment, and other major industries.
• Collaborate in a cross-functional environment with engineers, data scientists, product managers, commercial teams, customers, and partners.
• Mentorship and active contribution to engineering culture and technical development.
• Diversity and inclusion are valued, with applications encouraged from people of all backgrounds.
• Part-time hours can be discussed.

Hiring process

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