900+ Machine Learning Engineer Jobs - September 2026 - High Salaries

Showing 991 jobs results for "machine learning engineer"
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Outram

Posted
15 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
10 days ago

Singapore

Posted
10 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
10 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
10 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
10 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
10 days ago

Singapore

  • Optimise models and systems for performance, scalability, and reliability in production environments
  • Implement MLOps best practices including CI/CD, model versioning, experiment tracking, and automated retraining
  • Monitor and maintain model performance, including handling drift and system reliability ...
Posted
9 days ago

KEYSIGHT TECHNOLOGIES SINGAPORE (SALES) PTE. LTD.

Singapore

  • Develop intelligent summarization and information extraction pipelines that process thousands of scraped news articles, press releases, and open-source intelligence into concise, actionable market intelligence reports, leveraging techniques such as intelligent chunking, semantic filtering (embeddings + k-NN), map-reduce patterns, TF-IDF augmentation, and agentic orchestration.
  • Own the development and maintenance of a customer-facing GenAI Q&A chatbot that provides deep, domain-specific insights into semiconductor manufacturing risks based on sensor measurements and test plans.
  • Tackle diverse classical ML problems (regression, classification, clustering, time-series forecasting) and integrate them with GenAI components when hybrid approaches deliver better outcomes. ...
Posted
a day ago

Singapore

  • Containerize applications using Docker andorchestrate them via Kubernetes
  • Build and maintain CI/CD pipelines for MLmodels and LLM applications
  • Design and implement production grade RAGsystems ...
Posted
8 hours ago

Singapore

Posted
18 days ago

Singapore

  • Designing and optimizing distributed training pipelines for high-throughput, GPU-accelerated workloads
  • Improving experiment management, model versioning, artifact tracking, and data lineage to ensure transparent and reproducible research
  • Developing tools and frameworks that streamline feature engineering, dataset generation, and large-scale backtesting ...
Posted
24 days ago

Singapore

  • Identify edge cases, define labelling tasks and review annotation quality.
  • Analyse conditions such as layout, lighting, camera angle and crowding that may affect performance.
  • Support model packaging, versioning, deployment, release and rollback activities. ...
Posted
18 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
3 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
2 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
19 hours 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
3 days ago

Singapore

Posted
4 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
4 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

  • LeadershipProvide technical leadership and mentorship to junior engineers, fostering a culture of continuous learning and innovation.
  • Master’s or Ph.D in Computer Science, Mathematics, Physics, Electrical Engineering, or other related technical disciplines
  • At least 4 years of relevant working experience ...
Posted
5 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
6 days ago

KL City

  • Opportunity Overview
  • Role
  • AI / Machine Learning Engineer ...
Posted
8 days ago

Singapore

  • Provide support on other part of the system (not limited to Machine Learning)
  • Conduct software performance analysis, scaling, tuning and optimization
  • Review and contribute to improve current software and system architecture for stability and to optimize performance ...
Posted
9 days ago

Singapore

  • You will translate client needs into technically feasible and impactful ML applications, driving solution design and deployment within complex, high-stakes projects
  • You will own the development and maintenance of ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation
  • As a key influencer, you will champion Responsible AI and effective ways of working within the team, advocating for a culture of excellence and continuous improvement ...
Posted
10 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
10 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
3 days ago

Singapore

  • Develop reliable, automated, and reproducible ML workflows across the full model lifecycle.
  • Set technical standards for how ML gets built and shipped on the risk team, including architecture and technical direction.
  • Own the operational health of models in production, from low-latency inference to monitoring and incident response. ...
Posted
3 days ago

Singapore

Posted
7 days ago

Singapore

  • Platform Integration: Design and drive integrations across AIP surfaces (model serving, ML pipelines, data serving, AI infra, AI Automation tooling) so users experience a coherent platform rather than a collection of services.
  • User Experience Translation: Convert pain points surfaced through embeddings, support channels, and direct user work into functional requirements for AIP teams; propose cross-platform solutions that raise the bar for the DS and MLE personas.
  • Enablement at Scale: Produce reference architectures, patterns, and opinionated best-practice guidance so the next hundred ML use cases land on AIP cleanly, without requiring bespoke platform-team involvement every time. ...
Posted
17 days ago