Top Machine Learning Jobs in Singapore

Design, build, and maintain cloud-native applications using traditional code and OutSystems low-code. Integrate AI/ML models and cloud AI services, develop microservices, containers, and serverless functions, implement CI/CD and DevOps practices, create responsive web and mobile apps, integrate external systems/APIs, participate in agile ceremonies, conduct code reviews and testing, and produce technical documentation and proofs-of-concept.

Conduct research on membrane and separation technology for desalination and resource recovery, assist in project design and modeling, and publish findings.

Conduct AI research, manage project progress, organize project events, present research outputs, and write research papers and reports based on project requirements.

Conduct spatial ecological analyses and develop species distribution and occupancy models using ecological survey, remote sensing, LiDAR, and environmental datasets. Build biodiversity indicators and geospatial decision-support tools, collaborate with government and industry partners, and support ecological modelling, spatial analysis, and biodiversity science projects.

Conduct AI research, develop and apply deep learning and machine learning methods, present findings, manage project progress and events, and write research papers and reports to meet project goals.

As a Solutions Architect at CoreWeave, you'll lead the technical relationship with customers to optimize AI workloads on cloud infrastructure, focusing on Kubernetes and HPC environments.

Support development, qualification, and integration of semiconductor processes to improve yield and manufacturability. Lead NPI from tapeout to prototype, troubleshoot inline and electrical test issues, run DOE and SPC analyses, develop test structures, build defect libraries and fingerprinting, drive continuous improvement, and collaborate cross-functionally to reduce defects and resolve yield concerns.

Design, develop, and deploy predictive and generative AI models; analyze large datasets; build GenAI-powered applications and reusable AI services; create data visualizations; collaborate with stakeholders to drive business decisions and keep abreast of ML and generative AI advances.

The Applied AI Engineer will deploy AI solutions for clients, work on GenAI applications, manage stakeholder relations, and collaborate on product improvements.

Support the Group Compliance AML Advisory team in AML/CFT advisory, model development for Dynamic Customer Risk Profiling, workflow improvements using Microsoft Copilot, DOI updates, project coordination, and review of high‑risk customer cases with documented compliance assessments.

The Director of AI is responsible for solving complex AI challenges, exceeding client expectations, leading AI teams, and fostering ethical AI practices. They will create thought leadership and manage AI solutions from conception to commercialization while building client relationships and partnerships.

The AI Data Specialist will perform tasks like data collection, evaluation, annotation, and tagging across various content types, primarily focusing on AI-generated content in Chinese.

Manage the design and lifecycle of Web3 infrastructure products focusing on data services, market data systems, and algorithm platforms. Collaborate with teams to meet performance and security needs, leveraging advanced AI technologies and on-chain data analytics.

The role involves developing AI and ML solutions for semiconductor workflows, training Citizen Data Scientists, and integrating intelligent agents into engineering processes.

Design, develop, and deploy machine learning models; preprocess and analyze large datasets; build scalable ML pipelines; fine-tune and monitor models in production; collaborate with cross-functional teams and communicate results to stakeholders.

Lead and architect a low-latency, high-frequency cryptocurrency trading platform. Manage and mentor a distributed global engineering team, collaborate with traders and stakeholders, optimize network and systems performance, and build historical data and simulation systems to support trading strategies.

A structured graduate programme delivering technical training, mentorship, certifications and hands-on client project experience across cloud, data, AI/ML, application development, automation, infrastructure and cybersecurity to prepare graduates for specialised technology career paths.

Develop and maintain assembly/testing methods for semiconductor equipment, update test scripts, troubleshoot issues, and utilize machine learning for optimizations.

Lead development and implementation of AI governance frameworks, create playbooks and training, validate standards across business units, industrialise governance tooling, run bank-wide governance processes, and advise stakeholders on responsible AI practices.

Lead and transform Wealth Management Operations (Corporate Actions, Client Solutions Desk, Reconciliation, Fees & Billing) by driving automation, Agentic AI and analytics adoption, optimizing workflows, ensuring compliance, and developing a client‑centric, high‑performing team. Collaborate with front office, tech vendors, and regional partners to deliver hyper‑personalized, efficient operational support and proactive risk management.

Lead design and rollout of AI governance for Group Operations, ensuring AI/ML (including GenAI and third-party models) comply with enterprise RDU/PURE policies and regulations. Oversee use-case reviews, centralized prompt management, data enablement, infrastructure standardization, committee reporting, stakeholder engagement, and practitioner training.

Lead strategy and execution of technology audits focused on data, AI, and applications. Develop audit roadmaps, assess AI/model and data risks, design advanced audit tests using analytics, ensure regulatory compliance, build governance frameworks, and lead and mentor the audit team while engaging senior stakeholders and regulators.

Lead global Wealth Management Channels technology, driving architecture, product delivery, and engineering culture for multi-channel digital products. Manage large budgets and teams, build secure, scalable systems (iOS/Android/Web), implement DevOps/automation, and ensure operational excellence and regulatory compliance.

First-point-of-contact L1 technical support for APAC customers: triage and resolve tickets, escalate with clear handovers, maintain knowledge base, ensure SLA and CSAT targets, support Mandarin-speaking users, and follow strict data security practices.

Lead revenue growth and digital transformation for Inside Sales, Marketing, and E-commerce. Drive AI/GenAI adoption, build scalable inside sales, optimize digital commerce, implement analytics and governance, and lead cross-functional change to improve acquisition, retention, and commercial performance.