Senior Machine Learning Engineer (National Security)

TL;DR

Senior Machine Learning Engineer (National Security): Leading the development and deployment of cutting-edge AI systems for various clients, with an accent on building scalable, production-grade ML software and infrastructure. Focus on meeting rigorous operational and ethical standards, collaborating with cross-functional teams, and mentoring junior engineers.

Location: Hybrid work in London, with occasional on-site work with clients.

Company

hirify.global helps global customers to transform their performance through human-centric AI.

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 and standards for deploying machine learning at scale across the business.
• Collaborate with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities.
• Act as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies.
• Mentor and develop junior engineers, actively shaping our team's engineering culture and technical depth.

Requirements

• Understand the full ML lifecycle and have significant experience operationalizing models built with frameworks like TensorFlow or PyTorch.
• Bring deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems.
• Have demonstrable hands-on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure.
• Have extensive experience working with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale.
• Thrive in fast-paced, high-growth environments, demonstrating ownership and autonomy in driving projects to completion.
• Communicate exceptionally well, confidently guiding both technical teams and senior, non-technical stakeholders.

Culture & Benefits

• Unlimited Annual Leave Policy
• Private healthcare and dental.
• Enhanced parental leave.
• Family-Friendly Flexibility & Flexible working.
• Sanctus Coaching.
• Hybrid Working.

Hiring process

• Talent Team Screen (30 minutes)
• Pair Programming Interview (90 minutes)
• System Design Interview (90 minutes)
• Commercial Interview (60 minutes)