1,600+ Machine Learning Jobs - October 2026 - Urgent Hiring

Showing 1,629 jobs results for "machine learning"
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Singapore

Posted
21 days ago

KL City

  • Own and extend the identity / firmographic and financial layers of the ICP Profile Schema, working from Companies House API data and the Data Platform.
  • Build and maintain rules-based enrichment and de-duplication.
  • Ensure every model output carries a confidence score and reason code, to the explainability standard defined for our AI output layer. ...
Posted
7 days ago

KL City

  • Own and extend the identity / firmographic and financial layers of the ICP Profile Schema, working from Companies House API data and the Data Platform.
  • Build and maintain rules-based enrichment and de-duplication.
  • Build, validate and maintain supervised classifiers and regression models: succession risk score, distress indicator model, exit-readiness score, win-probability model, and deal-value estimation. ...
Posted
7 days ago

Bangsar South

  • Model Development: Design, build, and maintain scalable machine learning models and algorithms.
  • Data Analysis: Analyze and preprocess data from various sources to prepare it for model training.
  • Model Training & Evaluation: Train, validate, and tune machine learning models to achieve optimal performance. ...
Posted
6 days ago

KL City

  • Hybrid Work Arrangement
  • Global Presence
  • Great Benefits ...
Posted
6 days ago

Singapore

  • Inference Systems Engineering
  • Design and develop abstractions, middleware, and system components to support model inference across Traditional and Generative AI
  • Build integration layers across different model formats, execution engines, and deployment environments ...
Posted
16 days ago

Singapore

Posted
10 days ago

Singapore

  • Data Analysis: Perform statistical and exploratory data analysis.
  • Project Involvement: Be involved in other backend data and analytics projects.
  • Model Development: Build data analysis and machine learning models for predictive analysis, image classification, Gen AI, and other tasks. ...
Posted
17 days ago

KL City

  • Own and lead the end-to-end architecture, orchestration, and delivery of machine learning systems and pipelines, from problem framing to production
  • Lead technical discussions with MLOps Engineers and Data Scientists to drive sound system design decisions
  • Research, build and design robust, scalable machine learning systems and models that deliver measurable business value ...
Posted
22 days ago
  • Design, develop, test, and deploy AI/ML models supporting business and operational outcomes.
  • Build and maintain AI services, APIs, and microservices for enterprise consumption.
  • Develop Generative AI and Agentic AI solutions using approved enterprise platforms and frameworks. ...
Posted
11 days ago

CGG SERVICES (SINGAPORE) PTE. LTD.

Singapore

  • LLM/NLP Model DevelopmentDeploy and fine tune LLMs models for domain-specific tasks.Build evaluation infrastructure and benchmarking pipelines to compare model performance across multiple datasets and tasks.
  • Data InfrastructureCollaborate with Data Scientist to build and own data pipelines for ingestion, transformation, versioning, and labeling.Ensure robust, reproducible data loops to power iterative development.
  • AI Workflow Design & OrchestrationOrchestrate multiple models to deliver SOTA results.Partner with Production team, Software Engineers to bring AI solutions into real-world products. ...
Posted
a month ago

Singapore

  • Develop and deploy data‑driven solutions using manufacturing data (e.g., machine data, quality data, MES/SCADA data) for manufacturing performance improvement
  • Build predictive and prescriptive models utilizing production, quality, maintenance, and supply chain data.
  • Analyse manufacturing process variability and identify optimization opportunities. ...
Posted
12 days ago

Singapore

  • Lead applied research and strategic definition of machine learning algorithms, quantization methodologies, and toolchain capabilities for the Neural Network Development Kit (NDK) roadmap targeting next-generation Edge AI compute solutions
  • Drive innovation at the intersection of ML algorithms and constrained hardware environments, identifying and validating the latest Edge AI technologies applicable to product requirements
  • Serve as the primary technical interface between the AI Architecture team and the Software (Edge AI) team, delivering well-researched toolchain feature proposals and algorithmic specifications for implementation ...
Posted
12 days ago

Singapore

  • Conduct research on driving behavior related topics, such as future prediction, motion planning, agent simulation, scenario generation
  • Work with large-scale internal datasets to demonstrate the effectiveness of your research
  • Collaborate with different teams to deploy your research results into the autonomous vehicles ...
Posted
18 days ago

Singapore

  • LLM/NLP Model Development
  • Deploy and fine tune LLMs models for domain-specific tasks.
  • Build evaluation infrastructure and benchmarking pipelines to compare model performance across multiple datasets and tasks. ...
Posted
a month ago

Singapore

  • Develop AI-driven content matching and user modeling strategies tailored to gaming scenarios (e.g., immersive content interactions), aligning recommendations with user preferences and behavioral patterns.
  • Design and implement user lifecycle value (LTV)-oriented recommendation strategies, optimizing traffic allocation and content distribution logic to maximize long-term user value.
  • Design high-efficiency content recommendation strategies aligned with user acquisition, retention, and engagement goals. ...
Posted
19 days ago

Singapore

  • Deep Learning Model Implementation & Product Development Ownership: Build, train, evaluate, and maintain CNN/U-Net/ViT models for automated inspection and measurement. Own model performance end-to-end — ablation studies, confidence calibration, product development performance monitoring.
  • Anomaly Detection Systems: Build and maintain real-time anomaly detection for product development sensor and time-series data streams — statistical baseline, threshold calibration, drift alerting. Sole implementation owner for this workstream.
  • Surrogate Modeling & Active Learning Operations: Own implementation and iteration of surrogate model pipelines and active learning systems under Technical lead’s architectural direction. Configure acquisition functions; integrate with versioned feature sets. ...
Posted
23 days ago

Singapore

  • Experiment Tracking & Evaluation Reporting: Own MLflow experiment logging for assigned team model runs; conduct model evaluations using standard metrics; produce structured evaluation reports reviewed by team. Your reports directly inform model iteration decisions.
  • Training Data Quality Validation: Validate training datasets jointly with team — feature distribution checks, label verification, anomaly flagging. Your quality flags are the final check before data enters the model training pipeline. You close the data quality loop between workstreams.
  • Deep Learning Model Contribution: Build and train CNN-based models for image classification and defect detection under team’s guidance. Contribute to model evaluation cycles, configuration comparisons, and training run analysis. ...
Posted
23 days ago

Singapore

  • Deep Learning Systems Architecture & Ownership : Design and own CNN, U-Net, and ViT systems for precision inspection, measurement, and defect classification. Own real-time anomaly detection from sensor and time-series product development data streams. Highest day-to-day output responsibility.
  • Physics-Informed AI & Surrogate Modeling: Validate and deploy PINNs methodology originated by the ARS — own product development implementation, physics-constraint validation against engineering requirements, and surrogate model pipelines. You are the product development -side authority; the ARS designs the methodology; you validate and deploy it to real product development systems.
  • Active Learning Pipeline Architecture: Architect active learning pipelines and Bayesian experimental design frameworks — integrating ARS-designed acquisition functions with DE-supplied feature data and laboratory scheduling systems. This workstream directly reduces physical experiment cost. ...
Posted
23 days ago

Singapore

  • Mid-Senior Machine Learning Engineer
  • Permanent Role
  • Hybrid Work Arrangement ...
Posted
18 days ago

Singapore

  • Machine Learning Engineer / Specialist (PhD Holder)
  • 5 Work Days Per Week
  • Office Near Tai Seng MRT, Singapore ...
Posted
13 days ago

Singapore

Posted
23 days ago

Singapore

Posted
23 days ago

Singapore

Posted
23 days ago

Singapore

  • Experiment Tracking & Evaluation Reporting: Own MLflow experiment logging for assigned team model runs; conduct model evaluations using standard metrics; produce structured evaluation reports reviewed by team. Your reports directly inform model iteration decisions.
  • Training Data Quality Validation: Validate training datasets jointly with team — feature distribution checks, label verification, anomaly flagging. Your quality flags are the final check before data enters the model training pipeline. You close the data quality loop between workstreams.
  • Deep Learning Model Contribution: Build and train CNN-based models for image classification and defect detection under team’s guidance. Contribute to model evaluation cycles, configuration comparisons, and training run analysis. ...
Posted
24 days ago

Singapore

  • Deep Learning Model Implementation & Product Development Ownership: Build, train, evaluate, and maintain CNN/U-Net/ViT models for automated inspection and measurement. Own model performance end-to-end — ablation studies, confidence calibration, product development performance monitoring.
  • Anomaly Detection Systems: Build and maintain real-time anomaly detection for product development sensor and time-series data streams — statistical baseline, threshold calibration, drift alerting. Sole implementation owner for this workstream.
  • Surrogate Modeling & Active Learning Operations: Own implementation and iteration of surrogate model pipelines and active learning systems under Technical lead’s architectural direction. Configure acquisition functions; integrate with versioned feature sets. ...
Posted
24 days ago
  • Design, develop, test, and deploy AI/ML models supporting business and operational outcomes.
  • Build and maintain AI services, APIs, and microservices for enterprise consumption.
  • Develop Generative AI and Agentic AI solutions using approved enterprise platforms and frameworks. ...
Posted
24 days ago

Singapore

  • Deep Learning Systems Architecture & Ownership : Design and own CNN, U-Net, and ViT systems for precision inspection, measurement, and defect classification. Own real-time anomaly detection from sensor and time-series product development data streams. Highest day-to-day output responsibility.
  • Physics-Informed AI & Surrogate Modeling: Validate and deploy PINNs methodology originated by the ARS — own product development implementation, physics-constraint validation against engineering requirements, and surrogate model pipelines. You are the product development -side authority; the ARS designs the methodology; you validate and deploy it to real product development systems.
  • Active Learning Pipeline Architecture: Architect active learning pipelines and Bayesian experimental design frameworks — integrating ARS-designed acquisition functions with DE-supplied feature data and laboratory scheduling systems. This workstream directly reduces physical experiment cost. ...
Posted
24 days ago

Singapore

  • Build and improve ML components across data, training, evaluation, and inference.
  • Fine-tune and adapt models as part of larger production systems.
  • Implement evaluation and testing to understand model behavior. ...
Posted
19 days ago