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

Showing 960 jobs results for "machine learning engineer"
Never miss any updates for Machine Learning Engineer jobs
  • 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

  • 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
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

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
12 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
12 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
13 days ago

KL City

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

Singapore

  • Collaborate closely with Product, Data, and Operations teams to translate business requirements into practical AI/ML solutions that enhance overall user experience.
  • Support in-game image content distribution systems; improve content relevance and matching quality through advanced algorithm optimization.
  • Track cutting-edge advancements in AI and recommender systems (e.g., large-scale retrieval, reinforcement learning, multimodal learning), and drive the real-world implementation of technical innovations in gaming scenarios. ...
Posted
4 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
16 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
17 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
17 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
10 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
10 days ago

Singapore

  • Huge exposure to a wide variety of projects
  • The opportunity
  • We are looking for a hands on Mid-Senior Machine Learning Engineer to build, deploy and maintain AI solutions for financial services use cases. You will join a regional engineering team and work across internal product development and client projects, including compliance, KYC and account opening automation. ...
Posted
4 days ago

Singapore

  • Evaluate models and AI outputs for accuracy, reliability and safety.
  • Improve prompts, workflows and system performance through testing.
  • Review code, troubleshoot issues and support solutions in production. ...
Posted
5 days ago

Singapore

  • Optimize perception algorithms for real-time performance on embedded hardware
  • Collaborate with other engineers and teams to integrate perception systems into larger autonomous systems
  • Stay abreast of the latest research and advancements in machine learning and computer vision and apply them to real-world problems ...
Posted
9 days ago

Singapore

Posted
14 days ago

Singapore

  • Platform Features / Bug Fixes: Contribute to the internal ML platform, including adding features and resolving issues.
  • New Model Enablements: Integrate and enable new machine learning models into the existing platform or client environments.
  • Performance Optimizations: Improve system performance, efficiency, and scalability of deployed models and applications. ...
Posted
17 days ago

Singapore

  • Develop incident handling, recovery, and escalation procedures for ML-related issues.
  • Support data quality, lineage tracking, and governance practices across the ML lifecycle.
  • Strong MLOps and production operations focus ...
Posted
17 days ago

Singapore

  • Work with Data Scientists to ensure feature consistency between offline model development and online production environments.
  • Improve ETL / ELT workflows for large-scale risk data processing.
  • Build and enhance monitoring systems for data quality, feature drift, model performance, and pipeline health. ...
Posted
17 days ago

Singapore

  • Develop incident handling, recovery, and escalation procedures for ML-related issues.
  • Support data quality, lineage tracking, and governance practices across the ML lifecycle.
  • Strong MLOps and production operations focus ...
Posted
17 days ago

Bedok

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
10 days ago

Singapore

  • Monitor GPU utilization, capacity, performance, and resource consumption.
  • Optimize GPU utilization and inference efficiency as workloads scale.
  • Troubleshoot GPU, container, networking, and infrastructure issues in production. ...
Posted
10 days ago

Singapore

Posted
10 days ago

Singapore

  • Build data pipelines and features from high-volume batch and streaming data.
  • Develop proof-of-concept solutions and validate them against realistic baselines.
  • Convert successful prototypes into scalable, tested, and observable production systems. ...
Posted
5 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
24 days ago