1,000+ Machine Learning Engineer Jobs - October 2026 - High Salaries

Showing 1,078 jobs results for "machine learning engineer"
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GMP TECHNOLOGIES (S) PTE LTD

Singapore

  • Debug and resolve issues across AI models, orchestration, infrastructure and application layers.
  • Improve system performance with a focus on latency, scalability, reliability and cost optimisation.
  • Develop evaluation frameworks and performance metrics to measure AI solution effectiveness. ...
Posted
10 days ago
  • Build automated AI pipelines covering training, testing, deployment, and monitoring.
  • Develop and integrate LLM-based applications and REST APIs.
  • Work with cloud platforms, containers, and scalable AI/data architectures. ...
Posted
11 days ago

Singapore

  • Develop and maintain microservices, APIs and system architecture.
  • Improve software development processes, coding standards and DevOps/MLOps practices.
  • Support cloud deployment across platforms such as AWS, GCP or Azure. ...
Posted
11 days ago

Infosys Consulting

Singapore

  • We are seeking a visionary and technically skilled AI Architect to lead the design, development, and deployment of AI solutions across the bank in FS (Financial Services) vertical. This role will be instrumental in shaping our AI strategy, ensuring scalable and secure integration of AI technologies into core banking operations, customer experience, risk management and compliance.
  • Key Responsibilities:
  • Define and implement the bank’s AI architecture and roadmap aligned with business goals. ...
Posted
11 days ago

Singapore

  • Predictive Maintenance AI Model Development:
  • Design and implement machine learning and deep learning models for our
  • Predictive Maintenance applications. ...
Posted
11 days ago

Singapore

  • Build production AI systems. Create agents that use tools and customer context to complete real business workflows, learn through feedback loops and long-term memory, and become more useful over time, supported by practical evaluation and observability.
  • Connect AI to real business systems. Build reliable integrations and data flows across advertising, social media platforms, CRM, analytics, payments, and other platforms.
  • Work directly with customers. Understand their business, workflow, technology stack, and pain points instead of receiving every problem through layers of abstraction. ...
Posted
11 days ago

Singapore

  • Key Responsibilities:
  • - Harness Large Language Models (LLMs) to automatically generate, refine, and debug RTL code in Verilog/SystemVerilog.
  • - Apply Graph Neural Networks (GNNs) to analyze chip netlists and predict wiring, spacing, and other physical design issues early in the flow. ...
Posted
11 days ago

Singapore

  • Own end-to-end pilot delivery, including integration, optimization, and technical support.
  • Drive reusable solution patterns and contribute to platform and delivery tooling improvements.
  • Engage directly with engineers, architects, and executives to communicate technical solutions effectively. ...
Posted
11 days ago

Singapore

  • Produce architecture artefacts (solution designs, data flows, integration maps, technical roadmaps).
  • Architect solutions across relevant cloud platforms (Azure, AWS and compliant options as required).
  • Design for multi-cloud and hybrid environments where regulations demand. ...
Posted
11 days ago

Singapore

  • Help build and maintain data pipelines for real-world and synthetic data.
  • Debug model issues, performance problems, and production incidents.
  • Ship improvements iteratively and learn from real user feedback. ...
Posted
11 days ago

Singapore

  • Document understanding and fraud detection
  • Multimodal reasoning and AI agent
  • Own end-to-end algorithmic solutions ...
Posted
11 days ago

Singapore

Posted
11 days ago

FUGRO SINGAPORE MARINE PTE. LTD.

Singapore

  • The AI Architect is the technical authority responsible for designing secure, scalable and cost-efficient AI architectures for APAC deployments. The role defines technical standards, patterns and guardrails across models, data pipelines, APIs, cloud infrastructure and security layers, ensuring solutions align with global governance while meeting APAC data sovereignty and regulatory requirements. The role provides technical direction to the team, supporting the design, build, maintenance and continuous improvement of advanced AI and automation solutions. You will design and maintain the architecture for the AI enabled Marine Ground Digital Twin Platform.
  • This is a 3-year fixed term contract for placement in Singapore, and only open to SG/PR candidates.
  • Key Responsibilities: ...
Posted
11 days ago

Clementi

Posted
11 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
11 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
11 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
11 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
11 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
11 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
11 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
11 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
11 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
11 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
11 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
11 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
11 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
11 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
14 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
14 days ago
  • Employment: Full-time
  • Work Mode: Onsite
  • Experience: 8+ Years Software Engineering 5+ Years in designing & building scalable systems ...
Posted
14 days ago