Tech jobs
Job listings
Remote Senior Frontend Developer - React, AI/ML & EdTech
Senior Frontend Developer building a React-based editor that spans web, desktop (Electron), and cloud services for a fully remote UK role. Core stack: React with hooks, Redux Toolkit, ES6, Node.js, and MUI, with Unity/WebGL and AI/ML interests as a plus.
Senior Machine Learning Operations Engineer
Build and operate Mercury's ML platform for fraud/risk decisioning: a real-time low-latency model inference service, model registry and deployment with CI/CD, staged rollouts, and observability including drift detection. Core stack is Python (FastAPI/Flask), SQL, Redis/DynamoDB, and Kafka-style streaming pipelines.
Amazon Sr Technical Product Marketing Manager, AI/ML Product Marketing, AWS AI Marketing
Senior technical product marketing manager at AWS (Santa Clara) who owns positioning, messaging, and launches for AI products like Amazon SageMaker AI. Day to day: market and customer analysis, launch execution, technical content, and evangelism, backed by deep understanding of foundation model training and inference.
Senior ML Engineer: Generative AI & Production Pipelines
NTT Data Italia cerca un Senior Machine Learning Engineer per guidare iniziative avanzate di machine learning e Generative AI. Collaborerai con Data Scientists e ML Engineers su progetti su Azure/GCP e architetture…
Ml Engineer Senior - Genai Solutions
NTT DATA Italia cerca un Senior Machine Learning Engineer per collaborare con Data Scientists e ML Engineers su iniziative avanzate di ML e Generative AI. Con esperienza in deployment su Azure/GCP e architetture…
Ml Engineer Senior - Genai Solutions
NTT Data Italia cerca un Senior Machine Learning Engineer per guidare iniziative avanzate di machine learning e Generative AI. Collaborerai con Data Scientists e ML Engineers su progetti su Azure/GCP e architetture…
Senior Machine Learning Engineer
Senior ML engineer on Taboola's R&D team in Downtown Los Angeles building the recommendation and ranking models behind Realize, Taboola's performance ad platform serving 600M+ daily users. Day-to-day is end-to-end model ownership in Python/Java with PyTorch/TensorFlow, plus evaluation harnesses and Hadoop/Spark/Kafka big-data pipelines; hybrid, 3 days in-office.
Senior Machine Learning Engineer
Senior ML Engineer on Nu Colombia's team, building forecasting and marketing-investment models end to end — framing business problems, engineering features, training and validating models, and deploying/monitoring them in production. Core stack: Python, SQL, ML libraries (scikit-learn, PyTorch, TensorFlow, XGBoost), with deployments to AWS and Kubernetes.
Senior AI/ML Engineer
Client-facing AI Solutions Architect who partners with enterprise customers to design scalable AI solutions, lead technical decisions, and steer delivery teams through production deployments. The role blends consulting work (scoping, stakeholder management, presentations) with hands-on AI expertise in Python, RAG, LLMs, LangChain, and major cloud platforms.
Senior Machine Learning Engineer
Build and scale ML-driven dispute optimization systems, including training, deploying, and monitoring models, plus real-time data pipelines and feature stores for Checkout.com’s fintech platform.
Senior NLP Engineer
Senior NLP Engineer at Behavox's Toronto office (hybrid, 1 day/week onsite) building AI-powered risk and compliance features over multilingual financial communications data. Day to day: fine-tuning and evaluating NLP/LLM models (RAG, embeddings), designing the databases and data models behind NLP pipelines, and taking solutions to production on AWS/GCP.
Senior Machine Learning Engineer (LLMs - Agentic Workflows)
Build and deploy autonomous LLM agents that plan, use tools, and self-correct, integrating frameworks like LangChain and vector DBs for production workflows.
(Senior) Machine Learning Engineer
The ML Engineer will productionize NLP, audio, and document models for the Orcrist Intelligence Platform using Kubernetes, Triton, and KServe. The role involves building evaluation pipelines, managing inference infrastructure, and collaborating with research teams to deploy models for defense and enterprise clients.