Technical Lead, Machine Learning (AI)

TL;DR

Technical Lead, Machine Learning (AI/MLOps): Building and scaling production-grade ML systems for a proactive AI chat application with an accent on high reliability for long-running workflows and persistent context. Focus on designing scalable inference architectures, optimizing GPU performance, and implementing state-of-the-art fine-tuning methods like LoRA and DPO.

Location: Remote (United Kingdom)

Company

hirify.global is developing A1, a proactive AI chat app designed to bring intelligence to conversations, errands, and workflows for everyday users.

What you will do

• Own end-to-end ML system execution, including data pipelines, training workflows, and inference architecture.
• Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation.
• Architect and operate scalable inference systems, balancing latency, cost, and reliability.
• Design and maintain data systems for high-quality synthetic and real-world training data.
• Implement evaluation pipelines covering performance, robustness, safety, and bias.
• Manage production deployment, focusing on GPU optimization, memory efficiency, and scaling policies.

Requirements

• Proven experience building and shipping real ML systems used in production, beyond demos.
• Deep understanding of large models and their failure modes.
• Strong proficiency in writing production-grade code with high system correctness.
• Experience with Python, PyTorch, or JAX.
• Ability to work independently, exercise judgment, and take full ownership of outcomes.

Culture & Benefits

• High talent density and hands-on team environment.
• Collaborative and high-trust culture with collective decision-making.
• Rapid pace of development, balancing high-quality shipping with continuous learning.
• Focus on creating a truly magical product for billions of users.

Hiring process

• Technical evaluation of applications.
• 3 to 4 interviews conducted via virtual meetings or onsite.
• Transparent and efficient process with a prompt final decision.