13,765 Machine Learning jobs
Machine learning roles training and shipping ML models to production.
AI/ML Engineer
Builds and deploys production ML, GenAI, and agentic AI applications on AWS to automate healthcare billing workflows, detect fraud, and extract insights from unstructured medical claims. Core stack: Python, PyTorch/TensorFlow, AWS Bedrock/SageMaker, RAG/OCR pipelines, Docker/Kubernetes, and IaC with CDK/Terraform.
AI/ML Developer
Way2Agribusiness India Pvt. Ltd., an agribusiness company, is hiring an entry-level (fresher) AI/ML Developer to work onsite in Bengaluru. The posting gives no details on day-to-day duties or specific tech stack beyond AI/ML.
Stagiaire R&D en Machine Learning et Analyse d'Images f/h
A 6-month R&D internship at RAGT Semences (seed company near Rodez, France) building a seed-germination phenotyping tool: qualifying lab equipment, validating the experimental protocol, and developing/training a computer-vision algorithm to detect and track germinating maize seeds, exposed through a simple user interface.
Senior ML Engineer
Build and deploy ML models for risk and intelligence products at scale, focusing on fraud detection and network analysis using Python, TensorFlow/PyTorch, and BigQuery.
Lead Machine Learning Engineer - Model Deployment & MLOps - New Team Build
Lead Machine Learning Engineer - Model Deployment \& MLOps - New Team Build We're looking for a talented Lead Machine Learning Engineer to join a major international organisation investing heavily in its data science,…
Senior Inference Optimization ML Engineer
At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation…
Software/ML Engineer, LLM Inference & GPU Performance Evaluation (Remote, Contract, $125/hr) — AfterQuery via AI Gig Scout
Remote contract role at $125/hr: senior engineers design evaluation scenarios, write reference solutions, and grade frontier-model outputs on LLM inference, GPU kernel, and model-serving systems problems. It's a research-and-evaluation role (not production code) requiring CUDA, vLLM/TensorRT-LLM/SGLang, or quantization expertise.
Senior Machine Learning Engineer
Senior Machine Learning Engineer at an international IT consultancy in Utrecht, leading AI/ML projects from idea to production: designing, training and optimizing ML models and advising clients on deployment. Stack: Python, PyTorch, TensorFlow, scikit-learn, MLflow. Hybrid work, 32-40 hours per week.
Senior Machine Learning Scientist
Senior Machine Learning Scientist at Adyen in Amsterdam, designing and deploying production-ready ML/DL models for payment optimization — e.g., real-time transaction routing, authentication selection, and message optimization to maximize transaction success and minimize costs at global scale.
Machine Learning Engineer
Machine Learning Engineer at Shipping Technology in Rotterdam building the company's autonomous inland-shipping products: fusing sensor data, developing ship-behavior and fuel-consumption prediction models, and route-planning modules, while collaborating with autonomy engineers, data engineers, and captains. Core stack includes Python and SQL with ML models deployed in production.
Junior Machine Learning Engineer
Junior machine learning engineer at DICTU, a Dutch government IT agency in Assen, building, evaluating, and integrating ML models into client systems as part of data-focused teams. Involves developing pipelines and collaborating with data scientists, data engineers, and architects.
Three.js 3D演算法工程師
1. 熟悉 Three.js 開發 2. 熟悉 3D 相關演算法：CSG、Collision 等 3. 依需求實作演算法
Machine Learning Analyst
Builds and deploys machine learning models and the data infrastructure behind them at a Qatari contracting company — handling ETL pipelines, MSSQL databases, full-stack web apps on cloud, and Power BI reporting to turn business data into insights.
AI/ML Machine Learning Engineer
Builds, deploys, and maintains production machine-learning and AI applications for clinical and operational analytics at a children's hospital, partnering with data scientists, clinicians, and data engineers. Core stack: Python, SQL, PySpark, cloud ML tools (Azure ML, Databricks), and healthcare systems like Epic.