900+ Machine Learning Jobs - July 2026 - Urgent Hiring

Paparan 993 hasil carian kerja kosong untuk "machine learning"
Jangan lepaskan peluang untuk kerja Machine Learning terkini!
Undisclosed

KL City

  • Design, develop, and implement machine learning models and algorithms to solve business problems.
  • Optimize model performance, accuracy, and efficiency through feature engineering and hyperparameter tuning.
  • Research and evaluate new ML techniques, frameworks, and tools. ...
Posted
15 days ago
Undisclosed

Singapore

  • LLM/NLP Model Development
  • Deploy and fine tune LLMs models for domain-specific tasks.
  • Build evaluation infrastructure and benchmarking pipelines to compare model performance across multiple datasets and tasks. ...
Posted
15 days ago
Undisclosed

KL City

  • Position OverviewWe are seeking a skilled Machine Learning Engineer to join our team and drive the development, deployment, and optimization of machine learning models and systems. The ideal candidate will bridge the gap between data science research and production-ready ML solutions, working collaboratively to solve complex business problems through innovative ML applications across cloud and edge environments.Key ResponsibilitiesModel Development & Implementation- Design, develop, and implement machine learning models and algorithms to solve business problems.- Optimize model performance, accuracy, and efficiency through feature engineering and hyperparameter tuning.- Research and evaluate new ML techniques, frameworks, and tools.Production Systems & Infrastructure- Deploy ML models into production environments using cloud platforms and containerization technologies.- Build and maintain scalable ML pipelines for data processing, model training, and inference.- Implement MLOps practices including model versioning, monitoring, and automated retraining.- Ensure model reliability, scalability, and performance in production systems.- Optimize models for deployment across different environments (cloud, edge).Edge Deployment- Deploy and optimize ML models for edge devices.- Implement model compression techniques (quantization, pruning, distillation).- Work with edge computing frameworks and optimize for resource-constrained environments.- Ensure low-latency inference and efficient resource utilization.Data Engineering & Analysis- Work with large-scale datasets to extract, transform, and prepare data for ML applications.- Design efficient data pipelines.- Ensure data quality and implement data validation processes.Collaboration & Communication- Partner with data scientists, software engineers, and product teams to define requirements.- Communicate technical findings and model performance to both technical and non-technical stakeholders.- Participate in code reviews and maintain high standards for code quality.- Document models, processes, and best practices.Required QualificationsEducation & Experience- Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, Mathematics, or related field.- 3+ years of experience in machine learning engineering or related roles.- Proven track record of deploying ML models in production environments.Core Technical Skills- Proficiency in Python, with experience in ML libraries and frameworks.- Strong understanding of machine learning algorithms, statistics, and model evaluation techniques.- Experience with cloud platforms (AWS) and their ML services.- Knowledge of containerization (Docker, Kubernetes) and orchestration tools.- Familiarity with ML workflow tools (MLflow, Kubeflow, Airflow).- Experience with SQL and database technologies.- Understanding of software engineering principles and version control (Git).- Familiarity with DevOps practices and CI/CD pipelines.Edge & Mobile Deployment Skills- Experience with model optimization techniques (quantization, pruning, knowledge distillation).- Knowledge of edge computing frameworks (TensorFlow Lite, ONNX Runtime, OpenVINO, TensorRT).- Understanding of hardware acceleration (GPU, NPU, ARM processors).- Experience with embedded systems and IoT device constraints.- Knowledge of model serving on resource-constrained environments.Soft Skills- Strong analytical and problem-solving abilities.- Excellent communication and collaboration skills.- Ability to work in fast-paced, agile environments.- Detail-oriented with strong project management skills.AI Engineering Skills (Good-to-Have)- Experience with large language models APIs and AI agent frameworks.- Understanding of prompt engineering, few-shot learning, and in-context learning.- Familiarity with RAG architectures and semantic search systems.- Experience building AI agents.- Understanding of AI safety, alignment, and responsible AI practices.
Posted
16 days ago
Undisclosed

KL City

  • Design, develop, and deploy machine learning models for fraud and AML detection, supporting both batch and real-time transaction scoring scenarios.
  • Build and maintain MLOps pipelines covering model training, validation, deployment, monitoring, and retraining workflows using modern tooling (e.g. MLflow, Tecton, or equivalent feature stores).
  • Collaborate with data engineers to design feature engineering pipelines and maintain the Predator feature dictionary and sync mechanisms. ...
Posted
2 days ago
Undisclosed

Seletar

  • Individual contributor role
  • Design, build and deploy Generative AI solutions on AWS
  • Provide L2/L3 level support for Generative AI solutions in production ...
Posted
3 days ago
Undisclosed

Queenstown

  • Scale: Design, develop, and manage large-scale computational pipelines for exhaustive search and optimization of symbolic regression models.
  • Benchmark: Conduct rigorous benchmarking and hyperparameter optimization of state-of-the-art symbolic regression algorithms and compare their performance against empirically derived performance limits.
  • Research: Contribute to the development and empirical validation of theoretical insights related to symbolic regression, including generalization and performance characterization. ...
Posted
3 days ago
SGD5,000 - SGD5,000 Sebulan

Singapore

  • Find and Mitigate Risks in AI Projects. Take an analytical approach to assess AI systems for potential risks and impacts and prevent harm to people, patients and society.
  • Be a responsible AI consultant. Work with business and technical stakeholders to understand business needs and recommend appropriate mitigations and guardrails for responsible AI design.
  • Test and evaluate cutting edge AI. Support testing and evaluation of AI models, agents and systems for performance, safety, security and explainability (XAI), including both quantitative methods and qualitative assessments. ...
Posted
4 days ago
Undisclosed

Singapore

  • ⁠Scale: Design, develop, and manage large-scale computational pipelines for exhaustive search and optimization of symbolic regression models.
  • ⁠Benchmark: Conduct rigorous benchmarking and hyperparameter optimization of state-of-the-art symbolic regression algorithms and compare their performance against empirically derived performance limits.
  • ⁠Research: Contribute to the development and empirical validation of theoretical insights related to symbolic regression, including generalization and performance characterization. ...
Posted
4 days ago
Undisclosed
Kerja di Rumah

Indonesia

  • Role: Machine Learning Engineer (Remote)
  • Location: Remote (Work from Anywhere)
  • Job Type: Contract ...
Posted
4 days ago
Undisclosed
  • Yield & Defect Analysis: Develop and maintain ML models to identify root causes of package failures (e.g., wire sweep, voiding, or delamination) using sensor and metrology data.
  • CV for Automated Inspection: Enhance and deploy Computer Vision (CNN-based) models for Automated Optical Inspection (AOI) to reduce "False Calls" and "Escapes" on the production line.
  • Production Deployment: Transition models from local environments (Jupyter/Python) into the factory’s execution system using Docker and REST APIs. ...
Posted
2 days ago
SGD4,500 - SGD4,500 Sebulan

Singapore

  • KEY FEATURES OF THE POSITION
  • Functional / Technical
  • • Develop, deploy, and optimize machine learning and AI solutions that address complex business challenges. ...
Posted
2 days ago
Undisclosed

KL City

  • Design, develop, and deploy machine learning models for fraud and AML detection, supporting both batch and real-time transaction scoring scenarios.
  • Build and maintain MLOps pipelines covering model training, validation, deployment, monitoring, and retraining workflows using modern tooling (e.g. MLflow, Tecton, or equivalent feature stores).
  • Collaborate with data engineers to design feature engineering pipelines and maintain the Predator feature dictionary and sync mechanisms. ...
Posted
2 days ago
Undisclosed

KL City

  • The Machine Learning Platform Engineer will work closely with our AI and gaming technologyteams to design, build, and scale a robust platform for machine learning model training andonline inference services. This role involves developing ML Ops processes that integratecutting-edge AI capabilities into our gaming products, improving automation, scalability, andreliability in our ML workflows. You will be part of an agile team that values innovation, codequality, and continuous learning.
  • Key Responsibilities:
  • - Participate in the architecture design and software development of our AI platform. ...
Posted
4 days ago
Undisclosed

KL City

  • The Machine Learning Platform Engineer will work closely with our AI and gaming technologyteams to design, build, and scale a robust platform for machine learning model training andonline inference services. This role involves developing ML Ops processes that integratecutting-edge AI capabilities into our gaming products, improving automation, scalability, andreliability in our ML workflows. You will be part of an agile team that values innovation, codequality, and continuous learning.
  • Key Responsibilities:
  • - Participate in the architecture design and software development of our AI platform. ...
Posted
6 days ago
Undisclosed

Queenstown

  • Numerical weather prediction (NWP) model outputs
  • Weather satellite imagery
  • Radar observations ...
Posted
8 days ago
Undisclosed

KL City

  • Architect and design end-to-end AI/ML solutions leveraging Azure ML, OpenAI APIs, and other Generative AI technologies.
  • Develop scalable and secure architectures for AI solutions that integrate with existing enterprise systems and workflows.
  • Define and implement best practices for model development, training, and deployment pipelines. ...
Posted
17 days ago
Undisclosed

KL City

  • Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
  • Prepare advanced data analyses and support in the presentation of results to business stakeholders
  • Work with team members and leads to define Data Science use cases using current and emerging technologies ...
Posted
17 days ago
Undisclosed

KL City

  • Summary
  • We are seeking a highly skilled and visionary Machine Learning Lead to lead the design, development, and deployment of cutting-edge AI/ML solutions using Azure Machine Learning , OpenAI APIs , and Generative AI technologies .
  • Key Responsibilities ...
Posted
17 days ago
Undisclosed

Singapore

  • Design and develop predictive scoring models covering classification and regression use cases
  • Build forecasting models for time series analysis and demand prediction
  • Develop optimization models for planning, allocation and supply chain scenarios ...
Posted
8 days ago
SGD9,000 - SGD9,000 Sebulan

Singapore

  • Build the future of AI
  • Own the full AI lifecycle:
  • Develop and deploy machine learning models to support key financial services initiatives. ...
Posted
8 days ago
Undisclosed

Singapore

  • Exploring Cutting-Edge NLP Technologies: From basic tasks like word segmentation and Named Entity Recognition (NER) to advanced business functions like text and multimodal pre-training, query analysis, and fundamental relevance modeling, we apply deep learning models throughout the pipeline where every detail presents a challenge.
  • Cross-Modal Matching Technologies: Applying deep learning techniques that combine Computer Vision (CV) and Natural Language Processing (NLP) in search, we aim to achieve powerful semantic understanding and retrieval capabilities for multimodal video search.
  • Large-Scale Streaming Machine Learning Technologies: Utilising large-scale machine learning to address recommendation challenges in search, making the search more personalized and intuitive in understanding user needs. ...
Posted
8 days ago
Undisclosed

KL City

  • Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
  • Prepare advanced data analyses and support in the presentation of results to business stakeholders
  • Work with team members and leads to define Data Science use cases using current and emerging technologies ...
Posted
17 days ago
SGD9,000 - SGD11,000 Sebulan

Islandwide (Singapore)

  • Build the future of AI
  • Own the full AI lifecycle:
  • Develop and deploy machine learning models to support key financial services initiatives. ...
Posted
9 days ago
Undisclosed

KL City

  • Able to frame and contextualize machine learning problems
  • Research, build and design machine learning systems and models that can solve business problems
  • Assess, understand and analyse data to select appropriate datasets for data modelling and testing ...
Posted
10 days ago
SGD6,000 - SGD6,000 Sebulan

Singapore

  • Experience working with ML platforms such as CML, Spark MLlib, and Python ML libraries (scikit‑learn, XGBoost), including model deployment.
  • Exposure to building enterprise‑grade applications using large language models and frameworks (e.g., Hugging Face, LangChain).
  • Design and develop highly scalable, Real time systems using Hadoop ecosystem components(Iceberg, Spark, Ozone, Trino, Hive, Ranger, Kafka, Flink and Nifi) ...
Posted
18 days ago
Undisclosed
Kerja di Rumah

Singapore

  • Role summary
  • This role develops and deploys machine learning systems that drive matching, recommendations, pricing, automation, and other AI-powered experiences across the platform.
  • Working closely with founders, product, engineering, and data teams, this role transforms data into intelligent products, integrates machine learning capabilities into production systems, and helps establish the foundations for Matchii's AI-native platform. ...
Posted
11 days ago
Undisclosed

Singapore

  • Develop and deploy machine learning models and algorithms
  • Perform data preprocessing, feature engineering, and model optimization
  • Integrate ML models into production systems using APIs and pipelines ...
Posted
11 days ago
SGD10,000 - SGD10,000 Sebulan

Singapore

  • Build and maintain models to enable remote operators to make complex decisions at superhuman speed.
  • Collaborate with remote operators and control engineers to improve the collaboration experience.
  • 5+ years of experience in ML development. ...
Posted
11 days ago
Undisclosed

Singapore

  • Build the future of AI
  • Own the full AI lifecycle:
  • Develop and deploy machine learning models to support key financial services initiatives. ...
Posted
11 days ago
Undisclosed

Singapore

  • ies: Fine-tune and deploy machine learning models from initial research to production, ensuring scalability and performance for data extraction, parsing, and prediction in corporate secretarial and accounting use c
  • ases.Distil large model behaviors to smaller custom designed multimodal models jointly processing image + text and train them manu
  • ally.Hand-design custom AI pipelines comprising of various model types like neural nets, decision trees, rule-based systems working together to achieve a common ...
Posted
12 days ago