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The Pipeline Robotics Software Engineer develops software for underground pipeline inspection robots, focusing on embedded-to-software integration and AI-assisted crack detection. The role involves working with Python, C/C++, and various computer vision frameworks to support real-time monitoring and data management.
The Data Engineer will design and maintain OCR-based ingestion and ETL pipelines to support an AI-driven candidate matching platform. The role involves working with vector embeddings, LLMs, and AWS cloud infrastructure to process and analyze CV and job description data.
This entry-level AI Engineer role involves training and deploying deep learning models for industrial robotics applications. The position requires hands-on experience with Python, PyTorch, and Docker to improve model performance and support edge deployments.
The Senior Data Scientist will develop scalable data-driven solutions and translate complex data into actionable insights using Python or R, ML frameworks, and SQL.
ML Engineer at ADASTEC training, evaluating, and deploying perception models (2D/3D object detection, LiDAR, camera-radar fusion) for SAE Level-4 autonomous driving. Core tech: PyTorch, ONNX, TensorRT, Docker GPU training.
£60,000 to 77,000 GBP Bonus Hybrid WORKING Location: Manchester, North West - United Kingdom Type: Permanent Senior Data/AI Engineer - Manager Location: Manchester Salary: Up to £77,000 + Bonus Employment Type:…
Build ML models and pipelines for enterprise scenario planning, integrating time-series forecasting and demand sensing into Anaplan’s AI-infused platform.
Designs and leads AI architecture for GenAI and agentic systems to integrate with Anaplan’s enterprise planning platform, focusing on natural language interaction, multi-agent workflows, and production-ready AI solutions.
Зарплата: до 250000 RUR (до вычета налогов) О компании EVO AI — IT-компания в области AI-консалтинга и генеративного искусственного интеллекта. Мы разрабатываем и внедряем AI-агентов, ассистентов и комплексные…
Design and deploy AI/LLM models on FuriosaAI’s RNGD NPU using the Furiosa SDK, running POCs, benchmarks, and debugging for US customers while translating technical capabilities into business value.
This role involves creating and maintaining developer-facing documentation for FuriosaAI's SDK and LLM software stack using a docs-as-code approach. The engineer will build automated validation pipelines to ensure documentation accuracy against live hardware and code releases.
Develops autonomous agent systems that solve complex engineering problems via AI-driven exploration, optimization, and self-improvement, integrating LLM post-training and multi-agent workflows for production-grade solutions.
Design PyTorch-native kernel integration layers and runtime environments to execute custom AI kernels efficiently within PyTorch, optimizing for hardware control and tensor programmability.
FuriosaAI is seeking a Software Engineer to develop the front-end of their AI compiler, focusing on model ingestion, graph-level optimizations, and the design of a tensor-level kernel language. The role involves translating deep learning models into internal representations and collaborating on compiler infrastructure to maximize performance on AI hardware.
As an AI Research Engineer Intern at FuriosaAI, you will conduct research on advanced AI models, focusing on areas like LLMs and RL, and contribute to the development of a proprietary AI compute platform. You will work with PyTorch and other deep learning tools to build high-performance AI solutions.
AI Research Engineer developing proprietary LLMs for agentic tasks, RL post-training pipelines, and frontier AI research at a Korean AI chip company, primarily using PyTorch and deep learning frameworks.
The Lead Data and AI Solution Engineer will oversee the deployment, automation, and governance of GenAI and Agentic AI pipelines. The role focuses on optimizing operational processes, monitoring performance, and ensuring scalable, compliant AI services using frameworks like LangChain and various cloud platforms.
The Python Developer will build and maintain applications using Python, focusing on AI/ML integration and CI/CD pipelines. The role involves working with frameworks like PyTorch and LangChain, as well as managing databases and cloud infrastructure.
Develops AI agents and LLM-driven security solutions for Wiz’s cloud/AI platform, collaborating with engineering and security teams to enhance threat detection and automation.
Architect and maintain high-traffic LLM serving systems, optimizing throughput and latency using inference engines like SGLang, vLLM, and TensorRT alongside GPU programming tools like CUDA and PyTorch.
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