Lead Machine Learning Engineer

About the job

An AI venture is looking for a Lead Machine Learning Engineer to join their team.

Your new role

As a Lead Machine Learning Engineer, you will be responsible for:

• Build AI-native productivity applications with proactive workflows requiring minimal user prompting.

• Lead end-to-end ML systems covering data, training, evaluation, inference, and deployment.

• Develop and optimize large-scale model training, fine-tuning, and evaluation pipelines.

• Design reliable, high-performance inference infrastructure balancing latency, cost, and scalability.

• Build real-world and synthetic data pipelines to improve model quality and robustness.

• Collaborate with research and engineering teams to translate AI capabilities into product impact.

What you'll need to succeed

• Proven experience building and deploying production-grade ML systems beyond research and proof of concepts.

• Strong expertise in large-model training, fine-tuning, evaluation, and inference optimization.

• Solid software engineering fundamentals with emphasis on scalable, reliable systems.

• Hands-on experience operating GPU-based ML workloads at scale.

• Demonstrated ability to solve ambiguous problems independently with strong technical judgment.

• Focus on experimentation, measurable impact, production quality, and continuous model improvement.

What you'll get in return

In return, you'll be part of an organization that values its employees. You'll be rewarded with:

• Structured career growth and plenty of developmental opportunities

• Remote and stable working environment

What you need to do now

If you're interested in this role, click 'apply now' or for more information and a confidential discussion on this role or to find out about more opportunities in Technology contact Yuki Cheung or email [HIDDEN TEXT]. Referrals are welcome.

At Hays, we value diversity and are passionate about placing people in a role where they can flourish and succeed. We actively encourage people from diverse background to apply.

EA Reg Number: R22110258 | EA License Number: 07C3924 | Company Registration No: 200609504D