1,200+ Machine Learning Jobs - September 2026 - High Salaries

Showing 1,220 jobs results for "machine learning"
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Singapore

  • Architect high-performance inference systems, optimizing latency, GPU utilization, memory, cost, and reliability.
  • Build data pipelines and systems for high-quality real-world and synthetic training data.
  • Establish reliable production infrastructure for deploying, monitoring, and continuously improving models. ...
Posted
5 days ago

Singapore

  • Improve production performance across latency, reliability, safety and cost
  • Apply training, fine tuning or inference improvements where they solve the problem
  • Set technical direction within your area, mentor engineers and stay close to implementation ...
Posted
5 days ago

Singapore

Posted
3 days ago

Singapore

  • Improve reliability, scalability, latency, and cost efficiency of AI systems
  • Develop reliable pipelines for data preparation, training, evaluation, model release, and continuous improvement
  • Build platforms and tooling that enable AI engineers and researchers to experiment, evaluate, and ship models faster ...
Posted
5 days ago

Singapore

  • Partner with traders and quant researchers to translate trading hypotheses into ML frameworks; iterate model design based on live market observations and strategy performance metrics.
  • Deploy and integrate trained ML models into low-latency market-making and execution systems, working alongside systems engineers to balance model predictive power with latency constraints.
  • Develop monitoring dashboards to track live model performance, feature drift, concept drift, prediction quality and strategy PnL. ...
Posted
17 days ago

Singapore

  • Automate delivery and operations:Build CI/CD and CI/CT pipelines for application, data, and ML workloads. Establish versioning, testing, packaging, deployment, approval, rollback, and environment-promotion practices using modern source-control and pipeline tooling.
  • Own the ML and AI lifecycle:Develop repeatable workflows for data validation, experimentation, training, evaluation, deployment, monitoring, drift detection, incident response, and continuous improvement. Where relevant, build and evaluate LLM, RAG, and agentic AI capabilities using platforms such as Vertex AI.
  • We are looking for a blend of technical depth, engineering discipline, consulting mindset, and creative problem-solving. ...
Posted
17 days ago

KL City

  • Model Optimisation & Deployment
  • • Deploy and maintain model serving infrastructure across both cloud (AWS EC2/SageMaker) and edge (Jetson) environments
  • • Optimise models for their deployment target: TensorRT engine export, INT8/FP16 quantisation, and ensemble fusion for edge; scalable serving infrastructure for cloud ...
Posted
17 days ago

Singapore

  • Assess and integrate AI models (e.g. LLMs) ensuring optimal performance and reliability
  • Optimize agentic workflows and AI agents for production use cases
  • Testing and optimizing system prompts and few-shot example to ensure accurate, consistent, and safe AI outputs ...
Posted
17 days ago

Singapore

  • Assess and integrate AI models (e.g. LLMs) ensuring optimal performance and reliability.
  • Optimize agentic workflows and AI agents for production use cases.
  • Testing and optimizing system prompts and few-shot example to ensure accurate, consistent, and safe AI outputs. ...
Posted
17 days ago

KL City

  • Contribute to prompt engineering and alignment experiments to improve response quality and consistency.
  • Write clean, well-documented code and assist in refactoring existing codebases for modularity and clarity.
  • Collaborate with senior engineers and product teams to deliver stable, user-facing AI features. ...
Posted
17 days ago

Singapore

Posted
7 days ago

Singapore

Posted
17 days ago

Singapore

  • Work with APAC product, business, and regional engineering teams to gather requirements and localize solutions
  • Monitor and maintain model performance in production, including retraining and iteration based on live feedback
  • Contribute to MLOps best practices, including CI/CD, model versioning, and experiment tracking ...
Posted
17 days ago

Singapore

  • Engineering
  • About Cantina
  • Cantina Labs is a social AI company developing a suite of advanced video generation models. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. ...
Posted
17 days ago

KL City

  • Design, execute and monitor machine learning model experiments and metrics; drive conclusions and recommendations independently
  • Monitor, optimise and maintain machine learning solutions in production; proactively identify and resolve systemic issues
  • Champion and enforce test-driven development and engineering best practices to reduce technical debt across ML systems ...
Posted
8 days ago

Singapore

  • Data-to-Model Interface Ownership: Own the data contract between the Data Engineer and the ML model stack. Define feature specifications, validate datasets against model input requirements, and escalate data quality issues before they reach the training pipeline.
  • MLOps Maintenance & Product Development Reliability: Maintain model versions, training pipelines, and containers under platform architecture. MLflow tracking, CI/CD contribution, product development monitoring, and degradation escalation.
  • Junior Mentorship & Documentation: Provide code review guidance to team; document model design decisions and evaluation outcomes to production-handoff standard. ...
Posted
9 days ago

Singapore

  • ML Pipeline Contribution: Package models in Docker; contribute to CI/CD scripts under guidance; run inference tests and support deployment validation in product development environments.
  • Bachelor's or Master's degree in AI, Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or related field. AI major or strong research focus in degree strongly preferred.
  • Fresh graduate to 1 year. Work experience not required — demonstrated ML project competency is the primary criterion. Strong final-year project or thesis with a clear ML component; research internship preferred. ...
Posted
9 days ago

Singapore

  • MLOps Platform Ownership: Own the full ML platform: MLflow, Docker, AWS EKS/Kubernetes, LLM Gateway (LangFuse/PortKey), CI/CD, observability, and model monitoring. Architect the platform; delegate maintenance to team once stable.
  • Technical Direction & Team Architecture: Lead design reviews and code reviews; provide technical direction to team; define data interface contracts with the DE; partner with domain scientists from problem definition through deployment; mentor junior team members.
  • Bachelor's or Master's degree in Artificial Intelligence, Machine Learning, Computer Science, or related field. AI major or strong AI research focus preferred. Equivalent depth demonstrated through open-source contributions, or significant GitHub portfolio will be considered. ...
Posted
9 days ago

Singapore

Posted
9 days ago

Singapore

Posted
9 days ago

Singapore

Posted
9 days ago

Singapore

  • ML Pipeline Contribution: Package models in Docker; contribute to CI/CD scripts under guidance; run inference tests and support deployment validation in product development environments.
  • Bachelor's or Master's degree in AI, Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or related field. AI major or strong research focus in degree strongly preferred.
  • Fresh graduate to 1 year. Work experience not required — demonstrated ML project competency is the primary criterion. Strong final-year project or thesis with a clear ML component; research internship preferred. ...
Posted
9 days ago

Singapore

  • Data-to-Model Interface Ownership: Own the data contract between the Data Engineer and the ML model stack. Define feature specifications, validate datasets against model input requirements, and escalate data quality issues before they reach the training pipeline.
  • MLOps Maintenance & Product Development Reliability: Maintain model versions, training pipelines, and containers under platform architecture. MLflow tracking, CI/CD contribution, product development monitoring, and degradation escalation.
  • Junior Mentorship & Documentation: Provide code review guidance to team; document model design decisions and evaluation outcomes to production-handoff standard. ...
Posted
9 days ago
  • Implement Retrieval Augmented Generation (RAG) architectures and knowledge retrieval solutions.
  • Develop prompt engineering, evaluation, and optimization approaches for AI systems.
  • Develop and maintain AI model deployment pipelines and model lifecycle processes. ...
Posted
9 days ago

Singapore

  • MLOps Platform Ownership: Own the full ML platform: MLflow, Docker, AWS EKS/Kubernetes, LLM Gateway (LangFuse/PortKey), CI/CD, observability, and model monitoring. Architect the platform; delegate maintenance to team once stable.
  • Technical Direction & Team Architecture: Lead design reviews and code reviews; provide technical direction to team; define data interface contracts with the DE; partner with domain scientists from problem definition through deployment; mentor junior team members.
  • Bachelor's or Master's degree in Artificial Intelligence, Machine Learning, Computer Science, or related field. AI major or strong AI research focus preferred. Equivalent depth demonstrated through open-source contributions, or significant GitHub portfolio will be considered. ...
Posted
9 days ago

Singapore

  • Technical Scoping: Navigate ambiguous problems by building PoCs to validate feasibility. Collaborate with product and creative teams to translate technical constraints into realistic roadmaps.
  • Experience: 7+ years building production systems (ML/AI focus), with a proven track record of shipping code — or demonstrably equivalent transferable experience.
  • Technical Depth: Demonstrable expertise in Agent Architectures or Generative Content workflows (or both). ...
Posted
10 days ago

Singapore

  • Collaborate with Data, Engineering, and Product to understand the business goals behind what you are building, so what you ship actually moves the metrics that matter.
  • Build, test, deploy, and monitor real-time prediction models and ML algorithms that address the key business problems our product focuses on: visibility, prediction, demand forecasting, freight audit, using MLOps best practices with version control and performance tracking.
  • Productionise LLM-based systems where relevant, treating prompts and model behaviour as engineering artifacts. ...
Posted
10 days ago

Singapore

Posted
10 days ago

KL City

  • Design and operate cloud infrastructure on AWS, ensuring reliability, security and cost-efficiency.
  • Own data storage and retrieval across relational and vector/search stores.
  • Build CI/CD, observability and automated testing for backend systems. ...
Posted
11 days ago

Singapore

  • Evaluate model performance using appropriate validation techniques, hyperparameter tuning, and model optimisation methods.
  • Deploy machine learning models into production environments and integrate them with existing applications through APIs.
  • Collaborate with software engineering and DevOps teams to build scalable, production-ready AI solutions. ...
Posted
11 days ago