Senior Machine Learning Engineer

Durlston Partners; Hong Kong; On-site; HKD 1,000,000 - 2,000,000; Full time

Job summary

Durlston Partners in Hong Kong is seeking a Senior Machine Learning Engineer/ML Research Engineer to design, train and deploy production ML models for real-time trading workflows.

You will build scalable data pipelines, training infrastructure and inference systems, collaborating with researchers to turn cutting-edge ideas into robust, production-ready solutions in a fast-paced, high-performance environment.

Qualifications

• Strong experience building and deploying production machine learning systems.
• Hands-on experience with Python and modern deep learning frameworks such as PyTorch or TensorFlow.
• Experience developing end-to-end ML pipelines, from data engineering through model serving.
• Background in large-scale model training, distributed computing or inference optimisation.
• Experience with LLMs, multimodal models, reinforcement learning or foundation models is highly desirable.
• Excellent software engineering skills with a passion for solving complex technical problems.

Responsibilities

• Design, train and deploy production machine learning models.
• Build scalable data pipelines, model training infrastructure and inference systems.
• Develop end-to-end ML workflows covering data processing, training, evaluation, deployment and monitoring.
• Work on large-scale distributed ML systems and optimise model performance for production.
• Collaborate closely with researchers and engineers to turn cutting-edge ideas into robust, production-ready solutions.
• Contribute to the development of AI infrastructure supporting next-generation research initiatives.

Skills

Production ML

Python

PyTorch

TensorFlow

End-to-end ML

Distributed computing

Inference optimisation

LLMs

Multimodal models

Reinforcement learning

Foundation models

Software engineering

Problem solving

Job description

Senior Machine Learning Engineer/ML Research Engineer - Hong Kong - Open Budget

*finance domain experience not required*

We're partnering with a leading quantitative trading firm to hire a Senior Machine Learning Engineer/ML Research Engineer to build the next generation of production AI systems that support real-world trading and research workflows.

Salary: open budget - willing to pay for the right candidates.

This is an opportunity to work at the intersection of machine learning research, large-scale engineering, and high-performance systems, taking models from experimentation through to production in a fast-paced, highly technical environment.

What you'll be doing

• Design, train and deploy production machine learning models.
• Build scalable data pipelines, model training infrastructure and inference systems.
• Develop end-to-end ML workflows covering data processing, training, evaluation, deployment and monitoring.
• Work on large-scale distributed ML systems and optimise model performance for production.
• Collaborate closely with researchers and engineers to turn cutting-edge ideas into robust, production-ready solutions.
• Contribute to the development of AI infrastructure supporting next-generation research initiatives.

What we're looking for

• Strong experience building and deploying production machine learning systems.
• Hands-on experience with Python and modern deep learning frameworks such as PyTorch or TensorFlow.
• Experience developing end-to-end ML pipelines, from data engineering through model serving.
• Background in large-scale model training, distributed computing or inference optimisation.
• Experience with LLMs, multimodal models, reinforcement learning or foundation models is highly desirable.
• Excellent software engineering skills with a passion for solving complex technical problems.

If you're excited by solving challenging machine learning problems at scale and want to see your work deployed in a production environment where performance matters, we'd love to hear from you.