103 Machine Learning jobs in Hong Kong

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Direct message the job poster from AAA Global

Job Description

Our client is a leading quantitative investment manager in China. They are dedicated to enhancing portfolio performance and competitiveness by leveraging advanced machine learning techniques to uncover market patterns.

Responsibilities

• Apply a range of deep learning and machine learning techniques to model large-scale datasets, uncover data patterns, identify underlying structures, and continuously optimise predictive models
• Research and explore cutting-edge machine learning algorithms and their applications in finance

Requirements

Our client is seeking candidates who meet the following criteria:

• PhD degree or equivalent in Machine Learning, Computer Science, Mathematics, Statistics, or a related field from a top-tier domestic or international institution
• Strong foundation in machine learning theory, with an in-depth understanding of deep learning algorithms
• Hands-on experience in at least one specialised area such as time series analysis, natural language processing, image recognition, or data mining
• Excellent programming skills, proficient in PyTorch or TensorFlow, with the ability to rapidly develop and implement state-of-the-art deep learning models
• Strong capacity for independent research and a scientific mindset, with a keen interest in exploring machine learning applications in finance

Preferred Qualifications

• Awards in major academic competitions, or outstanding results in machine learning competitions such as Kaggle
• Publications in top-tier machine learning and data science conferences or journals (e.g., NeurIPS, KDD, CVPR, ICML, ACL, AAAI, COLT, AISTATS, WWW, SIGIR, IJCAI, etc.)
• Substantial hands-on experience in machine learning projects, particularly those with significant impact or visibility

• Seniority level Entry level

• Employment type Full-time

• Job function Research

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Wan Chai District, Hong Kong SAR 2 weeks ago

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Join to apply for the Machine Learning Engineer role at Wizpresso 濃說

1 year ago Be among the first 25 applicants

Join to apply for the Machine Learning Engineer role at Wizpresso 濃說

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About Wizpresso

(learn more at is a Hong Kong-based technology company that transforms enterprise workflow and empowers financial markets stakeholders. We develop software underpinned by natural language processing (NLP) and deep learning to augment market intelligence, regulatory reporting, and knowledge management. We deliver value to users by removing communication barriers between participants, improving business growth, managing risks, and enhancing operational efficiency.

Our clients include global financial institutions, professional services firms, and enterprises. Wizpresso has earned numerous accolades, such as the HKMA/HKT Innovation Awards 2024 (Gold), APICTA 2023 AI of The Year Awards, Maker in China 2022 Champion, CUHK Corporate Innovation Index 2022, HKICT Grand Fintech Award 2021, EPIC 2021 Fintech Champion, and multiple IFTA Fintech Awards. If youre passionate about pioneering financial and regulatory technology and eager to build transformative SaaS products for professionals, Wizpresso is the place for you. Join our fast-growing, dynamic team and thrive in a culture celebrating data wizards and automation mavens!

• We are obsessed with our customers.
• Building a powerful yet simple and elegant product is engrained in our culture.
• We value execution and outcomes over appearance and office politics.
• We believe everyone has great ideas and unique strengths.
  
  

• Collaborate with data scientists and software engineers to deploy machine learning models into production environments.
• Develop and maintain scalable infrastructure for training, testing, and deploying machine learning models.
• Implement and manage continuous integration and continuous deployment (CI/CD) pipelines for machine learning projects.
• Monitor and optimize machine learning systems to ensure performance, scalability, and reliability.
• Troubleshoot and resolve issues related to model performance, data quality, and system stability.
• Collaborate with DevOps teams to ensure smooth integration of machine learning systems with existing infrastructure.
• Develop and maintain documentation related to machine learning infrastructure, processes, and best practices.
• Stay up-to-date with the latest advancements in machine learning operations and identify opportunities for improvement within the organization.
  
  

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Solid understanding of machine learning concepts and techniques.
• Proficiency in programming languages such as Python and/or R.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Knowledge of version control systems, such as Git.
• Strong problem-solving and troubleshooting skills.
• Excellent communication and collaboration abilities.
• Ability to work effectively in a fast-paced and dynamic environment.
• Attention to detail and a commitment to delivering high-quality results.
  
  

• Experience with deploying machine learning models in production environments.
• Knowledge of big data processing frameworks (e.g., Apache Spark, Hadoop).
• Familiarity with data pipeline orchestration tools (e.g., Airflow, Luigi).
• Understanding of software development methodologies (e.g., Agile, Scrum).
• Experience with infrastructure-as-code tools (e.g., Terraform, Ansible).

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Technology, Information and Internet

Referrals increase your chances of interviewing at Wizpresso 濃說 by 2x

Wan Chai District, Hong Kong SAR 6 days ago

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Direct message the job poster from AAA Global

Industry: Quantitative Research / Artificial Intelligence

Experience: Mid to Senior Level (Academic or Industry Research)

Employment Terms: Full-time

Compensation: $150,000–$50,000 USD

The Role – Machine Learning Researcher

A leading quantitative research group is seeking exceptional machine learning researchers to join their growing team. You will collaborate with experienced ML scientists and quant researchers to apply cutting-edge ML techniques to unique, proprietary datasets and develop high-impact trading signals.

This is a rare opportunity to work on research that leads directly to real-world results — no prior experience in finance is required.

Responsibilities And Priorities:

• Own the full lifecycle of ML research projects — from ideation and implementation to validation and deployment

• Adapt and extend existing models across ML fields to uncover predictive patterns in noisy, high-dimensional datasets

• Explore novel approaches to enhance portfolio performance and prediction capabilities

• Stay current with developments in AI/ML and bring new tools and ideas into the research workflow

• Collaborate with a highly technical and experienced team in a low-ego, results-oriented environment

Requirements:

• Master’s or PhD in machine learning, computer science, statistics, or a related discipline

• Prior experience conducting ML research with large, imperfect datasets

• Strong proficiency in Python and ML libraries such as Torch, JAX, or TensorFlow

• Understanding of modern sequence models, graph neural networks, reinforcement learning, or LLMs

• Familiarity with cluster computing environments and software engineering best practices (e.g., source control, testing)

• Strong analytical and quantitative skills; able to approach complex problems methodically

• Excellent written and verbal communication skills

• Team player with a collaborative mindset and high ethical standards

The Profile – Your Expertise

We're looking for inventive, self-directed researchers who are excited by the application of machine learning to real-world problems. You’ll thrive in this role if you enjoy taking ownership of ideas and developing them rigorously — with the space, resources, and data to see your work deliver real impact.

Experience, Ability And Knowledge:

• Demonstrated success in ML research (academic, open source, or industry)

• Ability to independently drive research projects

• Depth in one or more ML domains (e.g., generative models, graph-based ML, deep learning, RL)

• An appreciation for reproducibility, clarity, and collaborative workflows

Who You Are, What We Need:

• A clear thinker with strong written and verbal communication skills

• Self-motivated and comfortable in a highly technical peer group

• Open-minded and pragmatic when testing ideas and choosing methods

• Committed to the highest standards of professional conduct

The Package

• Annual base salary range: $150,000–$250,000 USD

• Discretionary bonus compens tion

• High-impact role with autonomy and ownership

• Access to one of the most interesting ML datasets in the space

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Finance

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Get notified about new Machine Learning Researcher jobs in Hong Kong, Hong Kong SAR .

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Direct message the job poster from Fano (Fano Labs)

About Us:

We are a fast-growing AI startup focused on transforming industries through cutting-edge speech technologies. Our mission is to bring powerful AI solutions to production, with a strong emphasis on ASR and LLM-based systems. We’re looking for a skilled and motivated Machine Learning Engineer to join our AI Systems team. In this role, you’ll work closely with our ASR, LLM and MLOps teams to build scalable production-ready ML infrastructure and workflows.

If you’re passionate about innovation, thrive in cross-functional environments, and are eager to build advanced ML systems that make an impact, we want to hear from you.

Responsibilities:

• Design, build, and maintain robust data and ML pipelines
• Collaborate with Research Scientists to train and evaluate advanced ASR models and / or LLM workflows for production
• Design and run systematic experiments to improve the performance, efficiency, and scalability of AI workflows
• Develop and support evaluation frameworks for LLM use cases, including RAG and agentic workflows
• Benchmark models and conduct performance diagnostics across ML systems

Minimum Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field-or equivalent experience
• Proficient in Python; strong experience with UNIX-based systems and version control
• Hands-on experience with PyTorch and modern ML frameworks
• Experience training, testing, evaluating and optimizing deep learning models
• Solid understanding of data structures, algorithms and software engineering best practices
• Strong problem-solving and communication skills with an ability to collaborate across teams

Preferred Qualifications:

• Experience across the MLOps lifecycle: data ingestion, ETL, training, evaluation, deployment
• Familiarity with LLM-based systems, RAG pipelines, agentic workflows, or tools such as LangGraph
• Experience handling audio data or training ASR models
• Knowledge of tools such as Ray, Apache Iceberg, Spark, ZenML
• Experience with Docker, CI/CD workflows, Kubernetes and visualization platforms

We offer:

• Competitive compensation packages based on experience
• Hybrid remote work flexibility
• Medical insurance
• A collaborative, fast-paced, and mission-driven environment

• Seniority level Entry level

• Employment type Full-time

• Job function Research and Engineering
• Industries Technology, Information and Internet

Referrals increase your chances of interviewing at Fano (Fano Labs) by 2x

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Get AI-powered advice on this job and more exclusive features.

Direct message the job poster from AAA Global

Job Description

Our client is a leading quantitative investment manager in China. They are dedicated to enhancing portfolio performance and competitiveness by leveraging advanced machine learning techniques to uncover market patterns.

Responsibilities

• Apply a range of deep learning and machine learning techniques to model large-scale datasets, uncover data patterns, identify underlying structures, and continuously optimise predictive models
• Research and explore cutting-edge machine learning algorithms and their applications in finance

Requirements

Our client is seeking candidates who meet the following criteria:

• PhD degree or equivalent in Machine Learning, Computer Science, Mathematics, Statistics, or a related field from a top-tier domestic or international institution
• Strong foundation in machine learning theory, with an in-depth understanding of deep learning algorithms
• Hands-on experience in at least one specialised area such as time series analysis, natural language processing, image recognition, or data mining
• Excellent programming skills, proficient in PyTorch or TensorFlow, with the ability to rapidly develop and implement state-of-the-art deep learning models
• Strong capacity for independent research and a scientific mindset, with a keen interest in exploring machine learning applications in finance

Preferred Qualifications

• Awards in major academic competitions, or outstanding results in machine learning competitions such as Kaggle
• Publications in top-tier machine learning and data science conferences or journals (e.g., NeurIPS, KDD, CVPR, ICML, ACL, AAAI, COLT, AISTATS, WWW, SIGIR, IJCAI, etc.)
• Substantial hands-on experience in machine learning projects, particularly those with significant impact or visibility

• Seniority level Entry level

• Employment type Full-time

• Job function Research

Referrals increase your chances of interviewing at AAA Global by 2x

Get notified about new Machine Learning Specialist jobs in Hong Kong, Hong Kong SAR .

Wan Chai District, Hong Kong SAR 2 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Direct message the job poster from AAA Global

Industry: Quantitative Research / Artificial Intelligence

Experience: Mid to Senior Level (Academic or Industry Research)

Employment Terms: Full-time

Compensation: $150,000–$50,000 USD

The Role – Machine Learning Researcher

A leading quantitative research group is seeking exceptional machine learning researchers to join their growing team. You will collaborate with experienced ML scientists and quant researchers to apply cutting-edge ML techniques to unique, proprietary datasets and develop high-impact trading signals.

This is a rare opportunity to work on research that leads directly to real-world results — no prior experience in finance is required.

Responsibilities And Priorities:

• Own the full lifecycle of ML research projects — from ideation and implementation to validation and deployment

• Adapt and extend existing models across ML fields to uncover predictive patterns in noisy, high-dimensional datasets

• Explore novel approaches to enhance portfolio performance and prediction capabilities

• Stay current with developments in AI/ML and bring new tools and ideas into the research workflow

• Collaborate with a highly technical and experienced team in a low-ego, results-oriented environment

Requirements:

• Master’s or PhD in machine learning, computer science, statistics, or a related discipline

• Prior experience conducting ML research with large, imperfect datasets

• Strong proficiency in Python and ML libraries such as Torch, JAX, or TensorFlow

• Understanding of modern sequence models, graph neural networks, reinforcement learning, or LLMs

• Familiarity with cluster computing environments and software engineering best practices (e.g., source control, testing)

• Strong analytical and quantitative skills; able to approach complex problems methodically

• Excellent written and verbal communication skills

• Team player with a collaborative mindset and high ethical standards

The Profile – Your Expertise

We're looking for inventive, self-directed researchers who are excited by the application of machine learning to real-world problems. You’ll thrive in this role if you enjoy taking ownership of ideas and developing them rigorously — with the space, resources, and data to see your work deliver real impact.

Experience, Ability And Knowledge:

• Demonstrated success in ML research (academic, open source, or industry)

• Ability to independently drive research projects

• Depth in one or more ML domains (e.g., generative models, graph-based ML, deep learning, RL)

• An appreciation for reproducibility, clarity, and collaborative workflows

Who You Are, What We Need:

• A clear thinker with strong written and verbal communication skills

• Self-motivated and comfortable in a highly technical peer group

• Open-minded and pragmatic when testing ideas and choosing methods

• Committed to the highest standards of professional conduct

The Package

• Annual base salary range: $150,000–$250,000 USD

• Discretionary bonus compens tion

• High-impact role with autonomy and ownership

• Access to one of the most interesting ML datasets in the space

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Finance

Referrals increase your chances of interviewing at AAA Global by 2x

Get notified about new Machine Learning Researcher jobs in Hong Kong, Hong Kong SAR .

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Join to apply for the Machine Learning Engineer role at FCC ANALYTICS

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Join to apply for the Machine Learning Engineer role at FCC ANALYTICS

• Conduct data analysis, feature engineering, and feature extraction for data within the financial industry
• Develop and implement cutting-edge machine learning algorithms focused on graph learning and time series analysis for applications such as transaction monitoring, anti-money laundering, and cryptocurrency analysis
• Maintain and optimize data pipelines, enhancing existing solutions through pre- and post-processing improvements, fine-tuning, performance evaluation, visualization, and testing
• Collaborate with cross-functional teams to identify and address customer needs and aspirations
• Proactively resolve ambiguity and tackle technical issues, driving innovation and efficiency in processes
  

• Conduct data analysis, feature engineering, and feature extraction for data within the financial industry
• Develop and implement cutting-edge machine learning algorithms focused on graph learning and time series analysis for applications such as transaction monitoring, anti-money laundering, and cryptocurrency analysis
• Maintain and optimize data pipelines, enhancing existing solutions through pre- and post-processing improvements, fine-tuning, performance evaluation, visualization, and testing
• Collaborate with cross-functional teams to identify and address customer needs and aspirations
• Proactively resolve ambiguity and tackle technical issues, driving innovation and efficiency in processes
  

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, Statistics, or related fields
• Proficiency in at least one machine learning development framework, such as PyTorch, Keras, or TensorFlow, with hands-on experience in environment control
• Experience with programming, monitoring, visualization and project collaboration tools, including Python, VSCode, Conda, Git, and MySQL
• Knowledge of statistical machine learning and deep learning, particularly the models for graph and/or time series data, such as knowledge graph, spatial-temporal graph, and multivariate time series
• Interest in areas such as anomaly detection, federated learning, transfer learning, self-supervised learning, or uncertainty quantification
• Knowledge in LLM is a plus
• A passion for coding, programming, innovation, and problem-solving
• A keen interest in anti-money laundering practices and regulatory compliance
• Proficient in written and spoken Chinese (Cantonese or Mandarin); fluency in English is a plus

• Seniority level Entry level

• Employment type Full-time

• Job function Science
• Industries Technology, Information and Media

Referrals increase your chances of interviewing at FCC ANALYTICS by 2x

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Continue with Google Continue with Google

New Territories, Hong Kong SAR 21 hours ago

Kwun Tong District, Hong Kong SAR 6 months ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Join to apply for the Machine Learning Engineer role at Wizpresso 濃說

1 year ago Be among the first 25 applicants

Join to apply for the Machine Learning Engineer role at Wizpresso 濃說

Get AI-powered advice on this job and more exclusive features.

About Wizpresso
(learn more at is a Hong Kong-based technology company that transforms enterprise workflow and empowers financial markets stakeholders. We develop software underpinned by natural language processing (NLP) and deep learning to augment market intelligence, regulatory reporting, and knowledge management. We deliver value to users by removing communication barriers between participants, improving business growth, managing risks, and enhancing operational efficiency.
Our clients include global financial institutions, professional services firms, and enterprises. Wizpresso has earned numerous accolades, such as the HKMA/HKT Innovation Awards 2024 (Gold), APICTA 2023 AI of The Year Awards, Maker in China 2022 Champion, CUHK Corporate Innovation Index 2022, HKICT Grand Fintech Award 2021, EPIC 2021 Fintech Champion, and multiple IFTA Fintech Awards. If youre passionate about pioneering financial and regulatory technology and eager to build transformative SaaS products for professionals, Wizpresso is the place for you. Join our fast-growing, dynamic team and thrive in a culture celebrating data wizards and automation mavens!

• We are obsessed with our customers.
• Building a powerful yet simple and elegant product is engrained in our culture.
• We value execution and outcomes over appearance and office politics.
• We believe everyone has great ideas and unique strengths.
  

• Collaborate with data scientists and software engineers to deploy machine learning models into production environments.
• Develop and maintain scalable infrastructure for training, testing, and deploying machine learning models.
• Implement and manage continuous integration and continuous deployment (CI/CD) pipelines for machine learning projects.
• Monitor and optimize machine learning systems to ensure performance, scalability, and reliability.
• Troubleshoot and resolve issues related to model performance, data quality, and system stability.
• Collaborate with DevOps teams to ensure smooth integration of machine learning systems with existing infrastructure.
• Develop and maintain documentation related to machine learning infrastructure, processes, and best practices.
• Stay up-to-date with the latest advancements in machine learning operations and identify opportunities for improvement within the organization.
  

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Solid understanding of machine learning concepts and techniques.
• Proficiency in programming languages such as Python and/or R.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Knowledge of version control systems, such as Git.
• Strong problem-solving and troubleshooting skills.
• Excellent communication and collaboration abilities.
• Ability to work effectively in a fast-paced and dynamic environment.
• Attention to detail and a commitment to delivering high-quality results.
  

• Experience with deploying machine learning models in production environments.
• Knowledge of big data processing frameworks (e.g., Apache Spark, Hadoop).
• Familiarity with data pipeline orchestration tools (e.g., Airflow, Luigi).
• Understanding of software development methodologies (e.g., Agile, Scrum).
• Experience with infrastructure-as-code tools (e.g., Terraform, Ansible).

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Technology, Information and Internet

Referrals increase your chances of interviewing at Wizpresso 濃說 by 2x

Wan Chai District, Hong Kong SAR 6 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Direct message the job poster from Fano (Fano Labs)

About Us:

We are a fast-growing AI startup focused on transforming industries through cutting-edge speech technologies. Our mission is to bring powerful AI solutions to production, with a strong emphasis on ASR and LLM-based systems. We’re looking for a skilled and motivated Machine Learning Engineer to join our AI Systems team. In this role, you’ll work closely with our ASR, LLM and MLOps teams to build scalable production-ready ML infrastructure and workflows.

If you’re passionate about innovation, thrive in cross-functional environments, and are eager to build advanced ML systems that make an impact, we want to hear from you.

Responsibilities:

• Design, build, and maintain robust data and ML pipelines
• Collaborate with Research Scientists to train and evaluate advanced ASR models and / or LLM workflows for production
• Design and run systematic experiments to improve the performance, efficiency, and scalability of AI workflows
• Develop and support evaluation frameworks for LLM use cases, including RAG and agentic workflows
• Benchmark models and conduct performance diagnostics across ML systems

Minimum Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field-or equivalent experience
• Proficient in Python; strong experience with UNIX-based systems and version control
• Hands-on experience with PyTorch and modern ML frameworks
• Experience training, testing, evaluating and optimizing deep learning models
• Solid understanding of data structures, algorithms and software engineering best practices
• Strong problem-solving and communication skills with an ability to collaborate across teams

Preferred Qualifications:

• Experience across the MLOps lifecycle: data ingestion, ETL, training, evaluation, deployment
• Familiarity with LLM-based systems, RAG pipelines, agentic workflows, or tools such as LangGraph
• Experience handling audio data or training ASR models
• Knowledge of tools such as Ray, Apache Iceberg, Spark, ZenML
• Experience with Docker, CI/CD workflows, Kubernetes and visualization platforms

We offer:

• Competitive compensation packages based on experience
• Hybrid remote work flexibility
• Medical insurance
• A collaborative, fast-paced, and mission-driven environment

• Seniority level Entry level

• Employment type Full-time

• Job function Research and Engineering
• Industries Technology, Information and Internet

Referrals increase your chances of interviewing at Fano (Fano Labs) by 2x

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.