Top Machine Learning Jobs in Singapore

Lead an agile engineering team to design, build, and deliver secure, scalable production software. Provide technical guidance, write and review code, drive product and architecture decisions, champion firmwide SDLC and AI-assisted engineering practices, and ensure operational stability and validated automation across the toolchain.

Develop and maintain mathematical models and trading algorithms for valuation, hedging, risk measurement, and electronic trading in commodities. Collaborate with trading desks, product managers, technology, and control functions to implement production-ready models, ensure regulatory compliance, and support quantitative innovation and portfolio risk methods.

Lead development and maintenance of a resilient, cloud-native algorithmic equities trading platform. Design and implement trading strategies, produce high-quality Java production code, ensure operational stability, drive automation/CI-CD, collaborate with front office, evaluate vendors, and lead engineering best practices.

Join a front-office quantitative trading team to design and implement algorithmic execution strategies, back-test models and signals, build low-latency trading tools, and run real-time and post-trade transaction cost analysis to optimize execution.

Lead Asia physical commodities operations in Singapore, owning operational performance, controls, reconciliations, and inventory oversight. Serve as subject-matter expert on complex transactions, build stakeholder relationships across front/middle office, risk, finance and compliance, manage external counterparties, and drive initiatives to reduce risk and improve efficiency and scalability.

Lead AI/ML risk and control activities across APAC to strengthen governance, operational risk management, and regulatory compliance. Partner with business and control stakeholders to define controls, support testing and issue remediation, complete risk assessments, maintain control documentation, analyze metrics for emerging risks, and prepare materials for regulatory exams.

Design and deploy real-time ML models and credit risk frameworks to detect fraud and assess merchant lending risk. Translate business needs into scalable analytics, monitoring, and decision-support tools. Partner with product, engineering, and operations to productionize models and improve risk visibility and decision quality.

The Principal AI Engineer leads the design and operationalization of complex AI systems, architecting multi-agent solutions while ensuring safety, reliability, and performance. They mentor engineers and improve processes and products based on measurable outcomes.

Lead FP&A partnership with global commercial teams, own budgeting/forecasting, build GTM KPI/reporting, analyze profitability and unit economics, drive AI-enabled FP&A automation, and mentor junior staff to improve processes and decision-making.

The role focuses on designing, developing, and maintaining automation solutions for factory operations, improving productivity and system efficiency through collaboration with teams and data analysis.

The CE PYE FA Engineer will provide fault isolation and failure analysis support, collaborate on defect resolution, and innovate analysis techniques.

The Senior Product Owner will lead smart manufacturing solutions and apply AI and machine learning in Micron's processes, requiring semiconductor experience.

As a CE PYE FA Engineer, you will perform fault isolation and failure analysis, collaborate with teams, and develop new techniques to enhance operational efficiency.

Develop analytics, operations-research and machine-learning solutions and web applications to improve semiconductor manufacturing efficiency and scheduling. Manage requirements, stakeholders, and delivery; collaborate across teams; integrate AI-assisted tools; and support continuous improvement in capacity, cycle-time, and scheduling optimization.

Lead product strategy for real-time and post-transaction monitoring across payments. Own rules, alerting, workflows, investigator tooling, client-specific controls, and AI-driven detection, partnering with Risk, Compliance, Data, and Engineering to reduce fraud while preserving customer experience and operational efficiency.

Lead product strategy and execution for real-time and post-transaction monitoring across payments. Own rule design, alert optimisation, investigator tooling, client-specific controls, and scalable detection infrastructure. Partner with Risk, Compliance, Operations, Data, and Engineering to reduce fraud, leverage AI/analytics, automate workflows, and ensure AML/regulatory alignment while preserving customer experience.

Lead product strategy for real-time and post-transaction payment monitoring. Own rule design, alert optimisation, investigator tooling, client-specific controls, and AI-driven detection improvements while partnering with Risk, Compliance, Data, Operations, and Engineering to reduce fraud and operational overhead and ensure regulatory alignment.

The Director of Financial Planning & Analysis will lead the APJ financial strategy, partner with sales leadership, manage forecasting, and leverage AI for financial insights.

Design, build, and deploy large-scale ML and GenAI solutions for manufacturing: train and optimize LLMs on multi-GPU clusters, develop agentic AI, profile GPU performance, and maintain scalable data and CI/CD pipelines to production.

Design, build, and deploy large-scale ML and GenAI systems: train/fine-tune LLMs on multi-GPU clusters, optimize distributed training and GPU performance, develop autonomous AI agents and data pipelines, implement CI/CD for ML solutions, and collaborate with data scientists and engineers to productionize AI applications for manufacturing.

As a Senior AML Analyst, you will investigate and analyze potential fraudulent activities, file SARs, collaborate with teams, and ensure compliance with AML regulations. You will also train other analysts and improve detection models.

The Senior Engineer will enhance production efficiency, manage semiconductor equipment processes, and lead improvements in memory product development through engineering methods and collaboration.

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

The role involves analyzing biological mass spectrometry data, developing software tools, and scaling workflows for AI and human consumption in drug safety assessment.

The role involves developing AI-driven solutions for semiconductor engineering, focusing on GenAI systems, data pipelines, and machine learning models while collaborating with cross-functional teams.