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

Showing 987 jobs results for "machine learning engineer"
Never miss any updates for Machine Learning Engineer jobs

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
3 days ago

Singapore

  • Implement real-time decision engines and intelligent automation frameworks.
  • Evaluate and improve agent performance through testing, benchmarking, and iteration.
  • Contribute to system architecture, ensuring robustness, scalability, and security. ...
Posted
3 days ago

Singapore

  • Collaboration and Problem Solving: Collaborate with engineers to improve data pipelines and enhance model accuracy. Identify AI opportunities within existing workflows and propose innovative solutions.
  • Research and Innovation: Stay updated with the latest advancements in AI technologies and methodologies. Research and stay up to date with academic literature and state-of-the-artcondition monitoring techniques, translating these ideas and innovations into workable and deployable solutions. Work with the engineering team to create experiments and failure datasets; you will use real data from machines to validate your hypotheses, develop new models, and improve current models.
  • Performance Monitoring: Develop tools and frameworks to monitor model behavior in real-time and enable data-driven maintenance decisions. Troubleshoot issues and ensure model reliability under varying conditions. Continuously improve and validate models based on real-world performance, test results, and feedback.7. Documentation and Reporting: Document AI models, processes, and systems for internal use. Create reports on AI performance metrics and insights for stakeholders.Qualifications:Education: Bachelor’s or Master’s degree in Computer Science, Business Analytics, Artificial Intelligence, Data Science, or a related field.Experience:  At least 3 years of experience in developing and deploying analytics models.  Proven experience and expertise in machine learning, time-series analysis, andanomaly/failure detection.Technical Skills: Proficiency in programming languages such as Python, R, or Java.  Experience with machine learning frameworks and libraries (TensorFlow, PyTorch, Scikit-learn). Familiarity with cloud platforms (AWS, GCP, Azure) for AI deployment. Strong understanding of signal processing concepts and hands-on experience with industrial sensor data (e.g., vibration, current, temperature, pressure). Ability to read, interpret, and apply insights from academic literature andstate-of-the-art research in condition monitoring and fault diagnosis. Experience designing experiments to validate hypotheses and benchmark models.Soft Skills: Strong analytical and problem-solving skills. Effective communication and collaboration abilities to work across teams. A curious mindset and a drive to innovate and experiment. Strong problem-solving skills and ability to handle noisy, high-dimensional data.Preferred: Prior experience working in industrial or manufacturing environments. Familiarity with both academic research and real-world applications in condition monitoring, fault diagnosis, and prognostics (e.g., vibration-based methods,model-based vs. data-driven approaches). Experience translating academic methods into robust, production-ready algorithms.WHAT WE OFFER ...
Posted
3 days ago

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
3 days ago

Singapore

  • Collaborate with cross-functional teams to drive the successful integration of algorithms into products and services.
  • Master’s or Ph.D. degree in Computer Science, Electrical Engineering, or related field, with a focus on AI, computer vision, or image processing.
  • Strong knowledge of image processing and computer vision, with expertise in designing computationally efficient algorithms for mobile platforms. ...
Posted
3 days ago

Singapore

  • Collect, analyse, and clean data from various sources to train and test AI models, working closely with data engineering teams to ensure data quality and accessibility.
  • Test, validate, and optimise algorithms to ensure reliability, scalability, and performance across various use cases and production environments
  • Configure and utilise AI development environments and tools within the AI platform infrastructure provided by the infrastructure team. ...
Posted
3 days ago

KL City

  • Recommend the appropriate approach for each initiative — full automation, AI-assisted workflows, or manual processes.
  • Collaborate with senior team members on ambiguous or cross-functional initiatives before implementation.
  • Clearly document discovery findings, requirements, workflows, and technical decisions so solutions can be handed over to the Technology team when needed. ...
Posted
3 days ago

KL City

  • Work directly with the CEO, who has built and run multiple award-winning companies across several industries over 17 years. One decision maker, no committee. Your job includes challenging the brief where the brief is wrong, and you will get a straight answer either way, quickly.
  • Take internal tools that have proven themselves and turn them into something that can be leased to other businesses.
  • Build for a second user from the start: configuration, tenancy, onboarding and support paths, not a one-off script with your name on it. ...
Posted
3 days ago
  • Demonstrate and present implementation to team leaders/heads/CTO.
  • Implement Unit and Integration Tests.
  • Ensure software meets all requirements of quality, security, modifiability, extensibility etc. ...
Posted
3 days ago

SIMPLIFYNEXT PTE. LTD.

Singapore

  • Develop reusable AI components and microservices
  • Collect, clean, and transform datasets for training and inference
  • Perform exploratory data analysis to uncover patterns and insights ...
Posted
3 days ago

Singapore

  • Debug issues across the full stack (model, orchestration, infra, UX)
  • Optimize for latency, cost, and production reliability
  • Develop lightweight evaluation frameworks to measure real-world performance ...
Posted
3 days ago

Singapore

  • Integrate LLMs with APIs, databases, search, internal services, and external tools.
  • Develop prompting, context engineering, structured outputs, tool-calling, and other techniques to improve model behaviour
  • Build evaluation frameworks and datasets to measure AI quality, reliability, and regressions ...
Posted
3 days ago

KL City

  • Design, build and optimise scalable, maintainable data pipelines that connect approved source systems — databases, data warehouses and data lakes to a governed analytics environment supporting AI-led continuous assurance and monitoring.
  • Establish read-only, least-privilege data access in line with data-owner, IT Security, second-line and CISO requirements, reflecting the sensitivity of audit data.
  • Build and maintain API integrations and connectors (e.g. MCP) to approved audit data sources. ...
Posted
3 days ago

Singapore

  • Quartz ranked us the #1 best company for remote workers
  • Design and develop the MCP Gateway and AI Gateway — production services that mediate between applications, AI agents, and LLM providers. This means protocol-level work: MCP server/client implementations, request routing, streaming, tool-call proxying, authn/authz, and tenant isolation. You'll build the core infrastructure, not just applications on top of it.
  • Build high-throughput, low-latency network services. You'll work close to the wire: TCP, TLS, HTTP/1.1 and HTTP/2, JSON streaming, connection pooling, backpressure. When latency matters, you'll know exactly where it goes. ...
Posted
6 days ago

Buona Vista

  • Work with engineering and product teams to integrate machine learning solutions into applications and workflows.
  • Conduct experiments and compare different modelling approaches.
  • Develop data processing and modelling workflows to support ongoing projects. ...
Posted
6 days ago
  • Employment: Full-time
  • Work Mode: Onsite
  • Experience: 8+ Years Software Engineering 5+ Years in designing & building scalable systems ...
Posted
6 days ago

Singapore

  • Work closely with business stakeholders to create impactful and intelligent features/products. Collaborate with other team members including data scientists, data engineers and data strategists. Strategic ownership of all critical end-to-end AI processes.
  • Administer/maintain performant cloud and on-premises GPU compute resources that train large ML models and provide inference API microservices in production.
  • PhD degree related to computer science, machine learning or other AI disciplines is required (consideration will be given to exceptional candidates without advanced degrees). ...
Posted
6 days ago

Singapore

  • Design and integrate natural language processing systems for AI-powered applications.
  • Research and implement cutting-edge AI technologies and frameworks.
  • Create and maintain documentation for AI model development and deployment processes. ...
Posted
6 days ago

Outram

Posted
6 days ago

Clementi

Posted
6 days ago

Singapore

  • Retrieval-Augmented Generation (RAG)
  • Tool calling
  • Structured outputs ...
Posted
6 days ago

Tech Aalto Pte Ltd

Singapore

  • Conduct research and stay up to date with the latest advancements in AI and machine learning, integrating new technologies and methodologies into the team’s workflows.
  • Optimize and fine-tune AI models for performance, scalability, and accuracy.
  • Develop and maintain AI pipelines and workflows, ensuring best practices in data management and model deployment. ...
Posted
6 days ago

Tech Aalto Pte Ltd

Singapore

  • Optimize and fine-tune AI models for performance, scalability, and accuracy.
  • Develop and maintain AI pipelines and workflows.
  • Perform data preprocessing, feature engineering, and model evaluation. ...
Posted
6 days ago

Singapore

  • Responsible for health and quality of the code across the portfolio, including leadership over innovation, functional testing and CI/CD tool integration
  • Actively participate in business and technical discussions
  • Master's degree in computer science, Computer Engineering, Information systems, or related STEM fields ...
Posted
6 days ago

Tech Aalto Pte Ltd

Singapore

  • Build proposals and solution narratives: produce technical sections, scope, effort estimates, risk assessments, and delivery roadmaps aligned to client outcomes.
  • Hands‑on prototyping and PoCs: develop end‑to‑end prototypes (data ingestion, model/agent development, evaluation, and demo) to validate assumptions and accelerate sales.
  • Implement and architect GenAI solutions: design agentic workflows, tool‑augmented reasoning, multi‑agent orchestration, and integrations with enterprise data/services. ...
Posted
6 days ago

Singapore

Posted
6 days ago

TALENTSIS PTE. LTD.

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
6 days ago

Singapore

  • Integrate agentic services into the RegASK platform, working directly in our Node/React codebase alongside product engineering.
  • Maintain prompt pipelines and tune them against cost, latency and accuracy in production.
  • Own deployment, monitoring and continuous improvement of GenAI services (LLMOps), preferably in Azure: ML Studio, Azure OpenAI, Azure AI Foundry. ...
Posted
6 days ago

Singapore

  • Design for concurrency. Worker pools, queues, graceful shutdown, backpressure, race-free shared state. You can profile a service under load (pprof, flamegraphs, query stats), find the bottleneck, and fix it.
  • Drive observability for AI systems. Metrics, tracing, and logging that actually tell you what's happening — token usage, latency per provider, cache hit rates, failure modes, cost per request.
  • We encourage — but never force — the use of AI/LLM tools in development. If AI-assisted workflows make you faster, use them heavily. If you prefer to write something by hand, that's equally respected. What we care about is the quality of what ships, not how it was typed. ...
Posted
6 days ago

Singapore

  • Integrate agentic services into the RegASK platform, working directly in our Node/React codebase alongside product engineering.
  • Maintain prompt pipelines and tune them against cost, latency and accuracy in production.
  • Own deployment, monitoring and continuous improvement of GenAI services (LLMOps), preferably in Azure: ML Studio, Azure OpenAI, Azure AI Foundry. ...
Posted
6 days ago