Senior MLOps Engineer (AI)

TL;DR

Senior MLOps Engineer (AI): Leading the development and deployment of cutting-edge AI systems for diverse clients with an accent on designing, building, and deploying scalable, production-grade ML software and infrastructure. Focus on defining and implementing best practices for machine learning at scale and acting as a trusted technical advisor to customers.

Location: Hybrid (2 days in office in London, UK)

Company

hirify.global is an AI company established in 2014, focused on transforming performance through human-centric AI for over 350 global customers across various industries, including Life Sciences.

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 across the business.
• Collaborate with engineers, data scientists, product managers, and commercial teams to solve client challenges.
• Act as a trusted technical advisor to customers and partners.
• Mentor and develop junior engineers, shaping the team's engineering culture.

Requirements

• Significant experience operationalising models built with frameworks like TensorFlow or PyTorch.
• Deep expertise in software engineering and strong Python skills.
• Demonstrable hands-on experience with cloud platforms (AWS, Azure, GCP), including architecture, security, and infrastructure.
• Extensive experience with Docker & Kubernetes for building and managing applications at scale.
• Must be able to work in London, UK for a hybrid setup (2 days in the office).
• Exceptional communication skills, able to guide technical teams and non-technical stakeholders.

Culture & Benefits

• Unlimited Annual Leave Policy.
• Private healthcare and dental.
• Enhanced parental leave and family-friendly flexibility.
• Access to Sanctus Coaching.
• Hybrid working with 2 days in the Old Street office, London.

Hiring process

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