Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Leading the development and deployment of production-grade AI systems for national security and high-stakes missions with an accent on scalable infrastructure, MLOps, and robust software engineering. Focus on designing complex ML architectures, mentoring engineering teams, and acting as a technical advisor to government and enterprise clients.

Location: Must be based in the UK and eligible for UK Developed Vetting (DV); hybrid work required with occasional on-site client visits.

Company

hirify.global is a human-centric AI company that builds and deploys responsible, high-impact AI solutions for global organizations across government, finance, and defense.

What you will do

• Lead technical scoping and architectural decisions for high-impact ML systems.
• Design and build production-grade ML software, tools, and scalable infrastructure.
• Define and implement best practices for deploying machine learning at scale.
• Collaborate with cross-functional teams to solve critical client challenges.
• Act as a trusted technical advisor to customers and partners.
• Mentor junior engineers and shape the team's engineering culture.

Requirements

• Must be eligible for UK Developed Vetting (DV).
• Significant experience operationalizing models using frameworks like TensorFlow or PyTorch.
• Deep expertise in software engineering and strong Python skills.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Extensive experience with Docker and Kubernetes for scaling applications.
• Strong communication skills for guiding both technical and non-technical stakeholders.

Culture & Benefits

• Unlimited annual leave policy.
• Private healthcare and dental coverage.
• Enhanced parental leave and family-friendly flexibility.
• Sanctus coaching for mental well-being.
• Hybrid working environment.

Hiring process

• Talent team screen (30 minutes).
• Pair programming interview (90 minutes).
• System design interview (90 minutes).
• Commercial interview (60 minutes).