Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Leading the development and deployment of AI systems, designing and building scalable ML software and infrastructure with an accent on meeting rigorous operational and ethical standards. Focus on solving critical client challenges, acting as a trusted technical advisor, and mentoring junior engineers.

Location: Hybrid work in London, may need to be eligible for UK Security Clearance (SC) and willing to work on site with clients from time to time.

Company

hirify.global transforms performance through human-centric AI, working with over 350 global customers.

What you will do

• Leading technical scoping and architectural decisions for high-impact ML systems.
• Designing and building production-grade ML software, tools, and scalable infrastructure.
• Defining and implementing best practices and standards for deploying machine learning at scale across the business.
• Collaborating with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities.
• Acting as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies.
• Mentoring and developing junior engineers, actively shaping our team's engineering culture and technical depth.

Requirements

• Understanding of the full ML lifecycle and experience operationalising models built with frameworks like TensorFlow or PyTorch.
• Expertise in software engineering and strong Python skills, focusing on building robust, reusable systems.
• Experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure.
• Experience working with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale.
• Ability to thrive in fast-paced, high-growth environments, demonstrating ownership and autonomy in driving projects to completion.
• Excellent communication skills, 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).