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Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at…
Vega is one of the fastest-growing startups in cybersecurity, redefining security analytics and operations with an AI-native platform for the SOC. We are building the next-generation operating system for security…
Senior Full Stack Engineer owning end-to-end features across the Niks React frontend and Supabase backend, including AI content workspaces and media intelligence dashboards, while mentoring junior engineers. Core stack: React 18, TypeScript, Vite, Tailwind, PostgreSQL/Supabase, Deno, and OpenAI/Gemini APIs.
KnowBe4 empowers the modern workforce to make smarter security decisions every day. Trusted by more than 70,000 organizations worldwide, KnowBe4 is the pioneer of digital workforce security, securing both AI agents and…
Lead AI security solutions end-to-end—from research design through production deployment—focusing on NLP and LLM-based systems to protect enterprise AI tools and infrastructure. Core technologies include Python, PyTorch, HuggingFace, and LLMs.
Join the data science team building AI-first features for sales personalization. Design and deploy end-to-end ML models, focusing on agentic pipelines and NLP using Python.
MIA Innovation, a Quebec applied-AI company, is hiring a hands-on Lead AI & Data Engineer in Montréal to design production AI architectures (RAG, NLP, scoring), build data pipelines, and set AI standards while coding and deploying on Azure/GCP with Python, Docker, and CI/CD.
Команда «Цифровое управление» ищет сильного инженера, который возглавит направление разработки интеллектуальных инструментов на базе больших языковых моделей. Мы автоматизируем сложные управленческие процессы внутри…
Engineer on Google Search's shopping infrastructure team in Zürich, designing and optimizing high-throughput distributed systems and data ingestion/storage backends that handle millions of queries per second, primarily in modern C++. The role focuses on latency, reliability, and resource efficiency at Google scale while supporting client-team integrations.
Software Engineer III on Google's Rollouts Configuration team (an SRE/Production 2020 initiative) building the platform that lets Google service owners deploy config changes safely and reliably at scale. Day-to-day involves writing Go/C++/Java code, working on large-scale distributed systems and APIs, monitoring SLIs/SLOs, and applying AI agentic tooling within Google Cloud.
The Senior Machine Learning Engineer will design, prototype, and deploy production-ready AI/ML solutions for National Security and Defence challenges. The role involves working onsite with clients, leading technical scoping, and mentoring junior engineers using Python and modern MLOps infrastructure.
Machine Learning Engineer designing and deploying production-ready ML systems for UK Defence and National Security challenges, using Python, Docker, cloud platforms, and MLOps tooling on-site in Gloucestershire.
Senior AI & Data Engineer at Highberg, a data consultancy, delivering production-grade solutions for clients — building ETL pipelines, data warehouses and ML/LLM applications (RAG, agent workflows), largely for media-sector clients. The role spans data engineering, data science, AI engineering and direct client consulting; based in Hamburg or remote.
Software Engineer II on a Google ML team in London building machine-learning models, including LLMs, that detect policy violations in shopping content. Day-to-day work spans training-data pipelines, model evaluation frameworks, and generative-AI/LLM agents, collaborating with policy specialists and Shopping/Ads engineering teams.
Software Engineer III on Google's Core Enterprise Engineering team, designing and building scalable AI/ML and agentic solutions for Google's internal business functions. Day-to-day involves Python or C++ development, applied machine learning, distributed systems work, and collaborating with ML engineers, PM, and UX on reusable enterprise AI primitives.
Software engineer on Google Ads' front-end infrastructure team, building the frameworks, rendering architecture, and agentic developer platforms that power Google Ads at global scale. Day-to-day involves writing production code, leading design reviews, reviewing others' code, and debugging large-scale system issues, using Java, Angular, and web frameworks.
AI & Data Engineer at Highberg, a consultancy working with clients in the media sector: you build data models, ETL pipelines and warehouses in cloud environments, and develop and productionize ML models, RAG systems and agent workflows, working hands-on with clients from problem framing to go-live using Python, SQL, dbt and modern LLM tooling.
Senior AI Engineer building and deploying ML/deep-learning models for business tasks, integrating them into production via APIs and microservices, and researching LLMs and generative AI. Core stack: Python with TensorFlow, PyTorch, scikit-learn, plus SQL/NoSQL databases; on-site in Tashkent.
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