13,767 Machine Learning jobs
Machine learning roles training and shipping ML models to production.
Senior Software Engineer, AI/ML
Senior Software Engineer on Google's Zagreb Search Education (EDU) team, building AI-driven features for Google Search and Lens: defining technical vision and roadmap, coordinating projects, and leading/growing a team. Core focus is AI/ML engineering at large scale.
Senior Software Engineer, AI/ML, Home Context and Foundation Models
Senior engineer on Google's Home Intelligence team building the ML behind the smart home: scalable multimodal data/serving pipelines, Home Context features (routines, anomaly detection), and productionizing the Home Foundation Model with Research teams. Core work spans ML systems, distributed computing, and Gemini-powered Google Home features.
AI/ML Hardware Architect, Cloud, Silicon
Architects custom AI/ML silicon for Google's data-center accelerators (TPU roadmap): writes architecture and microarchitecture specs, builds power/performance models, and drives hardware/software co-design with compiler, ML, and design teams to deliver high-performance, power-efficient accelerator chips.
Machine Learning Engineer
Machine Learning Engineer at MedHelp Care in Stockholm: owns Larix, the long-term sick-leave risk model in production (retraining, serving, monitoring), plus the data platform (dbt, warehouse, orchestration) behind analytics products like InsightsHub. Core stack: Python, SQL, ML in production, LLM-based analytics.
Staff Machine Learning Engineer - Edge AI
Staff ML engineer at Samsara leading design and implementation of AI product initiatives on Edge devices for connected physical/fleet operations, working with petabyte-scale sensor, video, and text data to optimize model performance. Core stack: Python plus C++/Rust, with emphasis on computer vision and multimodal models.
Development Engineer - Machine Learning (f/m/div.)
Your contribution to something big: You will contribute to an industrial research project focused on the development and optimization of heat pump systems. You will combine machine learning, data analysis, modelling,…
Lead Bioinformatics & Machine Learning Scientist (Epigenomics)
Despite the title, this is a remote US-based customer support role: answering release-of-information inquiries for medical records by phone and email, resolving issues, and documenting interactions in internal software systems. Requires multi-line phone experience, Microsoft Office proficiency, and HIPAA compliance.
Senior Machine Learning Engineer
Senior ML Engineer (posted by Jobgether on behalf of a US partner company) building computer vision and multimodal models for lottery fulfillment — fine-tuning models (e.g., LoRA), OCR/barcode decoding, data pipelines, evaluation frameworks, and production deployment on scalable cloud infrastructure using Python and PyTorch.
MACHINE LEARNING ENGINEER
Machine Learning Engineer at Scandinavian Airlines (SAS) in Solna, Sweden: build, deploy, monitor and maintain production ML pipelines on Azure (Azure ML, Databricks, Data Factory), applying MLOps practices such as CI/CD, automation and model monitoring within the central AI & Automation team.
Machine Learning Engineer - Python
CGI in Chennai (5–7 yrs) is hiring a Machine Learning Engineer to build and maintain data sourcing pipelines (ETL, Denodo, Airflow), manage Python environments, enforce security/vulnerability practices, and support CI/CD deployment of containerized ML models (Docker/Kubernetes), collaborating with Brussels-based teams.
Machine Learning Engineer
Machine Learning Engineer in Bengaluru building production-ready GenAI and traditional ML systems in an Applied AI Lab: prototyping MVPs, training/eval/deployment pipelines, API-based AI tools, and batch/real-time workflows for healthcare and life sciences. Core stack: Python, SQL, LLMs (HuggingFace, PyTorch), AWS/Azure, Docker.
Machine Learning Engineer
Hands-on Machine Learning Engineer in an Applied AI Lab building production-ready ML and GenAI systems for healthcare and life sciences — prototyping MVPs, building training/evaluation/deployment pipelines and API-based AI tools, and supporting A/B testing. Core stack: Python, SQL, LLMs, PyTorch/HuggingFace, AWS/Azure, Docker.
Аналитик по данным AI/ML
Middle AI/ML data analyst at Rubytech in Moscow conducts EDA, builds ML metrics, and monitors models using Python, SQL, and visualization tools.