ML / AI Jobs in Singapore
There are 250 open ML / AI jobs in Singapore on freehire right now. 63 of them were posted recently. The skills employers ask for most often are machine-learning, ai and python.
Most requested skills
- machine-learning 96%
- ai 80%
- python 72%
- pytorch 53%
- cloud 39%
- llm 36%
- tensorflow 36%
- deep-learning 34%
How the work is done
- Remote 26 · 10%
- Hybrid 22 · 9%
- Onsite 10 · 4%
Visa sponsorship offered in 83% of the 48 postings that state a position on it.
Seniority
- Senior 44
- Lead 19
- Intern 18
- Principal 12
- Staff 9
- C-level 4
Who is hiring
- 1000+ employees 69
- 501-1000 employees 14
- 11-50 employees 10
- 51-200 employees 6
AI Algorithms Engineer | Artificial Intelligence & Machine Learning
Develop and optimize ML/DL algorithms for Reolink's surveillance/monitoring products—covering target detection, tracking, and recognition—using Python, C/C++, and frameworks like PyTorch and TensorFlow, with deployment across NPU/GPU/ARM platforms.
(Staff/ Sr. Staff) Machine Learning Engineer
Description: Lead applied research and strategic definition of machine learning algorithms, quantization methodologies, and toolchain capabilities for the Neural Network Development Kit (NDK) roadmap targeting…
Marine Acoustic ML Engineer – Field Trials & Data
Develop and test ML algorithms for underwater acoustics and marine robotics, plan field trials, and process data at NUS's Acoustic Research Laboratory using Python or Julia.
Campus AI/ML Researcher (Intern)
Campus AI/ML Researcher applying machine learning to quantitative trading research and predictive model development at a proprietary trading firm, using Python/C++ and frameworks like PyTorch, TensorFlow, or JAX.
Expert Backend Engineer (Machine Learning Server Parameter) - EGO team
Build and optimize distributed Parameter Server systems in C++ for large-scale sparse model training and inference, supporting Shopee's ML platform across search, ads, and recommendation.
AI/ML Platform Engineer — Bank-Grade DevOps for AI
Design and operate CI/CD pipelines for AI/ML deployments in a regulated banking environment, using Docker, Kubernetes/OpenShift, Terraform, Ansible, Prometheus, and Grafana while deploying LLMs from Hugging Face.
Research Fellow (Machine Learning in Chemical Engineering), ChBE
Research Fellow developing machine learning models and control systems for chemical engineering and optimization problems, working under a Principal Investigator.
Machine Learning Engineer (AI Infrastructure)
This Machine Learning Engineer role at an AI startup focuses on building and maintaining infrastructure for training, deploying, and scaling AI models. The engineer will develop data pipelines, monitoring frameworks, and optimize systems for performance and reliability.
ASUS AICS SG - Machine Learning Engineer
The Machine Learning Engineer will research and implement ML algorithms, focusing on NLP, computer vision, and GenAI to build healthcare SaaS solutions. They will collaborate with researchers and engineers to integrate models into production environments.
AI/ML Specialist | Bank | Contract
The AI/ML Specialist will design and deploy scalable AI solutions, including Generative AI and NLP, within a banking environment. The role involves the full lifecycle of AI development, from data analysis and modeling to cloud deployment and CI/CD integration.
Amazon Delivery Consultant - AI/ML, ASEAN Professional Services
Advises enterprise customers across ASEAN on AI/cloud transformation strategies, leading complex Generative AI, Agentic AI, and Machine Learning engagements on AWS from ideation through delivery oversight.
Staff Machine Learning Engineer, 3D - Singapore Efficiency Team
Build AI-powered 3D tools to automate tedious modeling steps like retopology and texturing, enabling artists to work faster while maintaining game-ready quality.
Staff Machine Learning Engineer, Animation - Singapore Efficiency Team
Design and ship ML tools to accelerate animation workflows like motion synthesis, retargeting, and rig wrangling, integrating them into animator pipelines at a major game studio.
Staff Machine Learning Engineer, Audio - Singapore Efficiency Team
Build audio ML tools for Riot Games' sound designers to streamline workflows, with a focus on generative audio and voice conversion. Core technologies: Python, PyTorch, TensorFlow, audio processing, speech ML.