211 Machine Learning jobs in Singapore

That is a lot of computing power, so why do we need it?

We’re pushing the boundaries of AI by building cutting-edge machine learning models and tools from the ground up. To support this, we’ve invested heavily in high-performance computing, including the Ahrefs Superpod, which boasts 60 nodes from 63 and scored 19.7 PFlops in Linpack, ranking it among the top 30 supercomputers in the world. Simply put, we have the infrastructure to turn ambitious ideas into reality.

For over a decade, Ahrefs has been crawling the web, processing petabytes of data, and delivering powerful insights through an intuitive interface. Now, we’re leveraging this expertise to develop innovative AI-driven solutions that help users navigate, analyze, and extract value from vast amounts of information like never before.

Let’s put that compute power to use!

In this role you’ll have the opportunity to work on cutting-edge research and turn it into real-world impact. We're looking for a dynamic Machine Learning Engineer to join us in creating cutting-edge AI products that push the boundaries of what’s possible. Bring your creativity, develop your own ideas, and see them through, from fuzzy concepts to production, all in a fast-moving, red-tape-free environment.

• Work on LLMs and other AI models, spanning training, fine-tuning, inference optimization, and new architectures.
• Algorithm Research & Development
  • Design and implement algorithms for search, agents, knowledge retrieval, and generative AI applications.
• Stay on the Cutting Edge
  • Stay ahead of NLP and RL advancements, evaluate emerging models/frameworks (e.g., SSMs, text diffusion), and assess their impact on our products.
• Scaling & Optimization
  • Optimize model inference, reduce latency, and improve efficiency using techniques like distillation, quantization, and tensor parallelism.
• Collaborate with Engineering & Product Teams
  • Work closely with engineering and product teams to ship AI-driven features at scale.

• Experience with modern deep learning frameworks (e.g., PyTorch, JAX).
• Familiarity with transformer-based architectures and techniques (e.g. flash attention, speculative decoding, KV caching).
• Strong software engineering skills (Python, CUDA, or C++ a plus).
• Interest in one or more areas: large-scale training, agentic workflows, inference optimization, retrieval-augmented generation (RAG), reinforcement learning (RLHF/RL), or multimodal AI.
• Experience with distributed training and model deployment libraries (e.g. Megatron, Ray, Triton (both or either!), vLLM) is a bonus.

You’ll have opportunities to work on projects at the cutting edge of AI. You’ll get the chance to shape the future of our product and make a real impact.

If you're a Machine Learning Engineer with the drive to turn research into reality, we'd love to hear from you! Join us and be part of a team that's pushing the boundaries of technology and innovation.

Our data science team faces a big, exciting challenge: building machine learning models to improve the Fairsearch experience. What a user wants to see when they run a search, and what makes a piece of content better or more relevant than another – these are vital questions that inform how we rerank web pages. Sounds interesting? We'd love to hear from you.

Our motto is first do it, then do it right, then do it better.

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Direct message the job poster from Nicoll Curtin

Are you a Senior Machine Learning Engineer who wants to push the boundaries of computer vision and AI in real-world identity verification? Here's a chance to join a leading tech unicorn in the AI and digital identity space.

What you’ll do:

• Build and optimize computer vision models to improve performance in face recognition, liveness detection, and image quality assessments across diverse user populations.
• Work directly with product managers, annotation teams, and engineers to translate real-world identity verification needs into scalable model training and deployment strategies.
• Deep-dive into model performance issues to identify gaps, retrain models, and incorporate new data pipelines, including video and unstructured image data.
• Stay ahead of AI trends with research on new algorithms and contribute to full-cycle development, from dataset curation and labeling to model rollout.
• Contribute to product-level decisions with a strong understanding of how algorithms impact user security, fraud prevention, and product usability.

What we’re looking for:

• Solid background in Python, PyTorch, and computer vision, with experience handling large-scale image or video datasets.
• Hands-on experience training and evaluating ML models in real-world use cases — including accuracy tuning, fraud detection, and deployment into production environments.
• Effective communicator who can document, share insights, and align work with cross-functional teams.
• Comfortable working in a fast-paced, collaborative team that values innovation and ownership.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology and Engineering
• Industries Software Development, Technology, Information and Media, and Financial Services

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South East Community Development Council, Singapore 1 week ago

Queenstown, Central Singapore Community Development Council, Singapore 4 months ago

South East Community Development Council, Singapore 1 week ago

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We are looking for a talented MLOps Engineer to join our production team, specializing in implementing cutting-edge generative AI and machine learning applications. The ideal candidate will have hands-on experience with tools such as Microsoft OpenAI, Domino Data Lab, and Mistral models. This role requires the ability to identify differences between various models, monitor their performance, and collaborate closely with application teams to share knowledge and best practices.

• Collaborate with data scientists and software engineers to Implement and optimize generative AI and machine learning models in production environments.
• Provision & manage the infrastructure required for hosting ML models, including cloud resources and on-premises servers.
• Utilize containerization technologies like Docker to package models and dependencies.
• Develop and maintain CI/CD pipelines for automating the testing, integration, and deployment of ML models.
• Implement version control to track changes in both code and model artifacts.
• Optimize existing models for performance and scalability.
• Establish monitoring solutions to track the performance and health of deployed models.
• Set up logging mechanisms to capture relevant information for debugging and auditing purposes.
• Ensure compliance regulations and data protection standards.
• Document processes, methodologies, and results for transparency and reproducibility.

• Total 7+ years of overall IT experience.
• Architecture and deployment of solutions on cloud platforms like Azure/AWS or GCP.
• Proficient in machine learning algorithms, models, and statistical concepts.
• Knowledge of data preprocessing techniques and feature extraction.
• Experience with generative AI tools (e.g., Microsoft OpenAI, Domino Data Lab).
• Skilled in MLOps frameworks (e.g., Kubeflow, MLFlow, DataRobot, Airflow).
• Docker and Kubernetes, OpenShift for container management and scaling.
• Proficient in programming languages (Python, Go, Ruby, Bash) and Linux.
• Familiarity with machine learning frameworks (scikit-learn, Keras, PyTorch, TensorFlow).
• Experience with CI/CD pipelines.
• Knowledge of IaC tools (e.g., Terraform, CloudFormation) and configuration management tools (e.g., Ansible).
• Experience with Mistral models and other machine learning frameworks.
• Strong understanding of machine learning algorithms and model evaluation techniques.
• Model monitoring and troubleshooting skills.
• Excellent problem-solving and analytical skills.
• Strong communication skills for technical and non-technical stakeholders.
• Collaborative teamwork in cross-functional teams.
• Strong knowledge on API Management and Integration using APIGEE API Management platform.
• Domino Datalab certification.
• MLOps Certification.
• Working knowledge of Scrum framework.

Our positions are open to people who have been recognized as disabled workers. T&S Group promotes diversity and equality in the workplace. All qualified M/F candidates are considered for employment on an equal basis.

Why should I Apply:

At Sonar, we’re a group of brilliant, motivated, and driven professionals working hard to help organizations build responsible, secure, high-quality code quickly and systematically. We build solutions that don’t just solve symptoms of problems – we fix problems at the source – source code, to be specific.

We have a dynamic culture with employees worldwide and hub offices in the USA, Switzerland, the UK, Singapore, and Germany. We believe team members should have the opportunity to come to work every day, work on a product they are proud of, love what they do, and feel energized by their peers. With our roots deep in the open source community, we’re all about the mission: provide solutions that deliver Clean Code.

We seek a Machine Learning Engineer who is passionate about exploring new dimensions in GenAI and developing the next-generation agentic framework for AI-powered developer assistants. As a Machine Learning engineer at Sonar, you will develop, implement, and optimize ML workflows to enhance our products and services. You will work closely with software engineers, researchers, and other stakeholders to deliver robust, scalable, and innovative solutions to advance the state-of-the-art agentic workflow for autonomous program improvement.

• Work with the core research team to advance the state of the art for AI-driven SE.
• Design, develop, and deploy models and algorithms to tackle various challenges in automating software engineering tasks.
• Analyze and preprocess large datasets to build scalable and efficient ML pipelines.
• Optimize and fine-tune LLMs to improve performance and accuracy.
• Conduct experiments and perform rigorous validation to evaluate model effectiveness.
• Implement and maintain scalable, robust, and efficient production-level code.
• Stay up-to-date with the latest advancements in machine learning technologies.
• Develop and maintain documentation for AI models and systems.
• Participate in code reviews and contribute to the development of best practices in machine learning engineering.
• Collaborate with development teams to ensure seamless model deployment and integration into production systems.

• Bachelor’s degree (or equivalent) in computer science, information technology, engineering, or related field.
• Proven experience as a Machine Learning Engineer or a similar role with a strong portfolio of projects, with at least two years of industry experience.
• Proficiency in programming languages such as Python, Java, or C/C++.
• Solid understanding of machine learning frameworks and libraries, such as TensorFlow, PyTorch, JAX, HuggingFace, scikit-learn, etc.
• Strong knowledge of algorithms, data structures, and software engineering principles.
• Familiarity with cloud platforms and services, such as AWS, Google Cloud Platform, or Azure is an advantage.
• Experience with deep learning models and natural language processing (NLP).
• Knowledge of MLOps practices and tools.
• Experience with data visualization tools and techniques.
• Familiarity with version control systems such as Git.
• Excellent debugging, optimization skills, communication and teamwork skills.

Why you will love it here:

Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness – and embraces the right to fail (and get right back up again!). We believe that the best idea wins and everyone has a voice.

We believe that great people make a great company. We value people skills as much as technical skills and strive to keep things friendly and laid-back while still being passionate leaders in our domains. Our 550+ SonarSourcers from 33 different nationalities can relate!

We embrace work-life balance. It is important to maintain a healthy work-life balance. This is why we have a flexible work policy that includes remote and in-office hybrid work (minimum three days a week in the office - Monday/Tuesday/Thursday).

We have a growth mindset. We love to learn and believe that continuous education is critical to our success. In an ever-changing industry, new skills are a must, and we're happy to help our team acquire them.

We prioritize Diversity, Equity, and Inclusion:

At Sonar, we are a global workforce and recognize the value of different backgrounds, and global cultures. We are committed to creating a diverse work environment and are proud to be an equal-opportunity employer. All qualified applicants will be considered for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

All offers of employment at Sonar are contingent upon the clear results of a comprehensive background check conducted prior to the start date.

Please note that applications submitted through agencies or third-party recruiters will not be considered.

DataForce by TransPerfect is looking for a highly motivated Machine Learning Engineer to join our onsite team on a fixed-term assignment in Singapore for an exciting new AI project!

Role Summary

• As a Machine Learning Engineer, your responsibilities include working with language data and creating, categorizing, auditing and improving lexical data.
• To do this job successfully, you need solid programming skills and language fluency in Indonesian .
• You will be part of an onsite team with diverse skills and backgrounds, who will help brainstorm and find innovative solutions to complex issues.

Main Responsibilities:

• Work with language data and create, categorize, audit, and improve lexical data
• Develop natural language processing code specific to Indonesian language
• Provide input and suggestions in finding new approaches and new product features tailored to home market
• Find innovative solutions to complex issues
• Automate and integrate workflows from diverse systems
• Daily interactions with other teams working towards the same goal

Job Requirements

• 1+ years engineering experience in diverse technical areas
• Proficiency in Indonesian language is required since you will work with Indonesian content (read and process documents, analyze and label data in Indonesian language)
• iOS or Mac OS X development skills
• Data processing knowledge
• Familiar with Python and Shell
• Experience with one or more version control systems with a preference for Git
• Familiar with regular expression
• Basic team collaboration skills (email, messaging, calendar, etc.)

Education:

• B.S/MSc in Computer Science, Electrical Engineering, or related fields

Preferred Requirements:

• Experience in natural language processing (NLP), machine learning, or related sub-fields is a plus

This is full-time onsite position.

DataForce by TransPerfect is part of the TransPerfect family of companies, the world’s largest provider of language and technology solutions for global business, with offices in more than 100 cities worldwide. We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world. Our department focuses on gathering, enriching and processing data for Machine Learning in different AI domains.

To learn more about DataForce please visit us at

TransPerfect is an equal opportunity employer and committed to all recruitment processes and workplace free from harassment, sexual harassment and discrimination.

For more information on the TransPerfect Family of Companies, please visit our website at

• Seniority level Entry level

• Employment type Full-time

• Job function Information Technology, Engineering, and Analyst
• Industries Technology, Information and Media and Translation and Localization

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Queenstown, Central Singapore Community Development Council, Singapore 6 days ago

South East Community Development Council, Singapore 1 week ago

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Keyrus is an international consulting firm, specializing in the integration of data intelligence and Digital solutions. With over 3,500 employees spread across 25 countries, Keyrus continues to deliver on such projects to a wide range of clients from various industries including but not limited to Banking/Finance, Healthcare/pharmaceuticals, FMCG, Oil & Gas, and more.

As part of Keyrus’ solution delivery, we are also in a position to recruit and place technical consultants to complement on existing client projects with their expertise. As such, we seek innovative and agile people to support ambitious and forthcoming technological challenges.

We're seeking a Data Engineering Consultant with expertise in Databricks and Generative AI to build scalable data pipelines and integrate LLMs into enterprise workflows. This role combines modern data engineering with AI innovation to support advanced analytics and GenAI solutions.

We are looking for a passionate and skilled Machine Learning / Data Scientist with hands-on experience in Generative AI (GenAI) and Databricks to join our growing AI/ML team.

Key Responsibilities:

• Design and develop advanced machine learning models and GenAI applications (e.g., LLM fine-tuning, embeddings, prompt engineering).
• Implement scalable data pipelines and ML workflows using Databricks and Spark .
• Leverage LLMs (e.g., GPT, LLaMA, Claude) for various use cases including summarization, text generation, knowledge extraction, etc.
• Collaborate with data engineers, product managers, and stakeholders to understand business problems and translate them into technical solutions.
• Monitor model performance, ensure robustness, and manage model lifecycle (training, deployment, retraining).
• Research and stay up to date with the latest trends in GenAI, foundation models, and ML operations (MLOps).

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.
• 3+ years of hands-on experience in machine learning and data science.
• Strong knowledge of Python, ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch), and GenAI libraries (e.g., HuggingFace Transformers, LangChain).
• Proven experience working with Databricks and Apache Spark in production environments.
• Experience with LLMs and prompt engineering.
• Proficiency in data wrangling, feature engineering, and model evaluation.

• Seniority level Executive

• Employment type Full-time

• Job function Information Technology
• Industries Hospitals and Health Care

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Get notified about new Machine Learning Engineer jobs in Singapore, Singapore .

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Machine Learning Engineer page is loadedMachine Learning Engineer Apply remote type Onsite locations Singapore, Singapore time type Full time posted on Posted 18 Days Ago time left to apply End Date: July 31, 2025 (30+ days left to apply) job requisition id R253471

Machine Learning Engineer

In the rapidly moving Artificial Intelligence era, few spaces are moving faster than the AI-enabled PC. As a leading provider of world-class technology, this means bringing more intelligence into the PC ecosystem, enabling superior performance, enhanced productivity, and delightful experiences while maintaining privacy and security. We’re developing innovative approaches to introducing intelligence across our client PC portfolio by leveraging current methodologies, models, and tools to develop a robust end-user ecosystem. What’s more, we are collaborating with leading AI technology companies, academics, industry experts, and skilled engineers to deliver cutting-edge solutions that redefine the user experience.

Join us to do the best work of your career and make a profound social impact as a Machine Learning Engineer on our Client Solutions Group (CSG) Chief Technology Officer (CTO) Advanced Architectures Team in the Singapore Design Center .

.
What you’ll achieve

As a Machine Learning Engineer on the CSG CTO Advanced Architectures team, you’ll gain applied data science experience, working on a team of data scientists and embedded software engineers on Artificial Intelligence and Machine Learning solutions across the client devices portfolio. In this role, you will be responsible for realizing CTO AI initiatives, implementing algorithms, working with data scientists, data, and embedded SW engineers to rapidly develop, and deploy AI-enabled solutions for millions of end users.

You will:

• Work with engineering teams to integrate and deploy AI applications on client devices with backend cloud integration
• Work across a diverse set of telemetry collection and deployment environments inclusive of client AI/ML frameworks, endpoint & real-time OSes, and embedded firmware ecosystems
• Develop AI/ML software solutions tailored for client silicon using strong knowledge of client device ecosystem nuances and complexities
• Conduct experiments to train, tune, and optimize Machine Learning / Deep Learning models for delivery onto client devices
• Translate business questions into compelling use cases and provide insights using data and statistical methods as well as tell stories using data; Advocate and execute strategies to adopt data and data science in all business and technical conclusions

Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements

• Master's degree or higher in AI/ML, Computer Science, Statistics, Mathematics, or other Engineering & Scientific fields with a significant quantitative component; Bachelors + 5 years, MS + 3 years minimum, or PhD.
• Some experience developing for Microsoft (MS) Windows OS including client Software Development Kits (SDKs), MS DirectML, WinML, MS Graph, and experience with embedded device development in at least one RTOS
• Solid knowledge of AI/ML optimization techniques for delivering models and algorithms into resource-constrained environments including the ability to deliver AI / ML algorithms using one or more of C, C++, and Microsoft C#/.NET as well as strong experience with Deep Learning libraries and runtimes such as PyTorch, TensorFlow, TensorRT, and nuances of their application in Client ecosystems
• Good communicator with the ability to understand analytical methods and algorithms with a solid understanding of Large/Small Language Models, Machine Learning, Deep Learning, and Generative AI.
• Experience working in software development or other cross-functional teams

Desirable Requirements

• Bachelor’s degree / Master’s degree, solid knowledge and application of engineering concepts along with effective problem-solving ability
• Familiarity with development in real-time embedded environments and experience working with Open Neural Network Exchange (ONNX) models and the ONNX run time (ORT)as well as experience with at least one major hardware vendor toolchain such as Intel OpenVino, Qualcomm QNN, NVIDIA CUDA, or AMD Ryzen AI Software

Who we are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Application closing date: 31 July 2025

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here .

Join to apply for the Machine Learning Engineer role at Dell Technologies

Join to apply for the Machine Learning Engineer role at Dell Technologies

In the rapidly moving Artificial Intelligence era, few spaces are moving faster than the AI-enabled PC. As a leading provider of world-class technology, this means bringing more intelligence into the PC ecosystem, enabling superior performance, enhanced productivity, and delightful experiences while maintaining privacy and security. We’re developing innovative approaches to introducing intelligence across our client PC portfolio by leveraging current methodologies, models, and tools to develop a robust end-user ecosystem. What’s more, we are collaborating with leading AI technology companies, academics, industry experts, and skilled engineers to deliver cutting-edge solutions that redefine the user experience.

Join us to do the best work of your career and make a profound social impact as a Machine Learning Engineer on our Client Solutions Group (CSG) Chief Technology Officer (CTO) Advanced Architectures Team in the Singapore Design Center .

What You’ll Achieve

As a Machine Learning Engineer on the CSG CTO Advanced Architectures team, you’ll gain applied data science experience, working on a team of data scientists and embedded software engineers on Artificial Intelligence and Machine Learning solutions across the client devices portfolio. In this role, you will be responsible for realizing CTO AI initiatives, implementing algorithms, working with data scientists, data, and embedded SW engineers to rapidly develop, and deploy AI-enabled solutions for millions of end users.

You will:

• Work with engineering teams to integrate and deploy AI applications on client devices with backend cloud integration
• Work across a diverse set of telemetry collection and deployment environments inclusive of client AI/ML frameworks, endpoint & real-time OSes, and embedded firmware ecosystems
• Develop AI/ML software solutions tailored for client silicon using strong knowledge of client device ecosystem nuances and complexities
• Conduct experiments to train, tune, and optimize Machine Learning / Deep Learning models for delivery onto client devices
• Translate business questions into compelling use cases and provide insights using data and statistical methods as well as tell stories using data; Advocate and execute strategies to adopt data and data science in all business and technical conclusions
  
  

• Master's degree or higher in AI/ML, Computer Science, Statistics, Mathematics, or other Engineering & Scientific fields with a significant quantitative component; Bachelors + 5 years, MS + 3 years minimum, or PhD.
• Some experience developing for Microsoft (MS) Windows OS including client Software Development Kits (SDKs), MS DirectML, WinML, MS Graph, and experience with embedded device development in at least one RTOS
• Solid knowledge of AI/ML optimization techniques for delivering models and algorithms into resource-constrained environments including the ability to deliver AI / ML algorithms using one or more of C, C++, and Microsoft C#/.NET as well as strong experience with Deep Learning libraries and runtimes such as PyTorch, TensorFlow, TensorRT, and nuances of their application in Client ecosystems
• Good communicator with the ability to understand analytical methods and algorithms with a solid understanding of Large/Small Language Models, Machine Learning, Deep Learning, and Generative AI.
• Experience working in software development or other cross-functional teams
  
  

• Bachelor’s degree / Master’s degree, solid knowledge and application of engineering concepts along with effective problem-solving ability
• Familiarity with development in real-time embedded environments and experience working with Open Neural Network Exchange (ONNX) models and the ONNX run time (ORT) as well as experience with at least one major hardware vendor toolchain such as Intel OpenVino, Qualcomm QNN, NVIDIA CUDA, or AMD Ryzen AI Software
  
  

• Seniority level Not Applicable

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Computer Hardware Manufacturing, Software Development, and IT Services and IT Consulting

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Get notified about new Machine Learning Engineer jobs in Singapore, Singapore .

Queenstown, Central Singapore Community Development Council, Singapore 4 months ago

South East Community Development Council, Singapore 13 hours ago

Downtown Core, Central Singapore Community Development Council, Singapore 3 days ago

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Direct message the job poster from NutriLab Singapore

Company Description

NutriLab is a healthtech startup building the first explainable AI food scanner — instead of just counting calories, we break meals down ingredient by ingredient using computer vision and LLMs.

We’re backed by early seed funding and won Most Impactful & Overall Best at the Young Trailblazers 2024 startup competition. Our first public beta is approaching — and we’re ready to scale what we've built.

The core pipelines are already up and running:

• AI-generated meal summaries and a nutrition chatbot

We're now working on next-gen features — smarter food classification, volume inference from images, and deeper explainability layers.

Role Description

This is a real product development role , not a toy internship.

You’ll help ship actual features into production. Depending on your background, you might:

• Refine and evaluate our LLM-based nutrition engine
• Build tools that make the AI’s reasoning transparent to users
• Develop MLops for rollback capability, evaluation, and fine-tuning during deployment
• You'll work independently on scoped tasks, but with weekly async check-ins , mentorship, and feedback. Think of this as a startup-style team — lean, fast, and highly collaborative.

You don’t need a degree — just proof that you know how to build. We value portfolio projects , GitHub repos, and past experience more than your resume.

Must-Have:

• Experience with image-based ML (e.g., OpenCV, torchvision, segmentation)
• At least one of the following: (a) Image segmentation or object detection (b) Monocular depth estimation (c) Prompt engineering or LLM evaluation (d) Data wrangling and model performance evaluation
• Ability to work independently, but open to feedback and team alignment

Nice-to-Have:

• Docker, APIs, or microservices experience
• Exposure to vector search (e.g., Qdrant)
• Interest in healthtech, nutrition, or ethical/explainable AI

Compensation

This is an unpaid role, but it’s designed to give you:

• Ownership over real features that ship to users
• Recognition on our website and socials
• Strong recommendation letters and references for future opportunities
• A chance to work on an actual AI product — not a sandbox demo

• Seniority level Entry level

• Employment type Part-time

• Job function Engineering and Information Technology
• Industries Public Health

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Get notified about new Machine Learning Engineer jobs in Singapore .

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