526 to 550 of 636 Permanent PyTorch Jobs

we’re looking for 3+ years developing deep learning systems with shipped models or published research. Hands-on with Vision Language Models, LLMs or generative models. Strong Python + PyTorch/JAX skills (debugging, profiling, shipping). Passion for bridging the gap between simulation and reality. This is one of the most exciting and technically challenging roles I’ve see More ❯

core product suite. 1-2 years experience working in AI development environments. Comes from a software development background specialising in Python. Strong skills across the Machine Learning tech stack - PyTorch, LangChain. Strong technical background in Data, Development & Cloud Python/Azure. Benefits : 5% Pension, Bonus, 25 Days Holiday + Bank & Wellbeing, Self-development tools & various perks. More ❯

we’re looking for 3+ years developing deep learning systems with shipped models or published research. Hands-on with Vision Language Models, LLMs or generative models. Strong Python + PyTorch/JAX skills (debugging, profiling, shipping). Passion for bridging the gap between simulation and reality. This is one of the most exciting and technically challenging roles I’ve see More ❯

we’re looking for 3+ years developing deep learning systems with shipped models or published research. Hands-on with Vision Language Models, LLMs or generative models. Strong Python + PyTorch/JAX skills (debugging, profiling, shipping). Passion for bridging the gap between simulation and reality. This is one of the most exciting and technically challenging roles I’ve see More ❯

growth YOUR SKILLS AND EXPERIENCE Strong background in radar or digital signal processing (DSP) Hands-on experience deploying ML models on edge devices (C++, TensorFlow Lite) Proficiency with Python, PyTorch, TensorFlow Experience in firmware or device-level integration A startup mindset - ownership mentality, curiosity, and hands-on problem-solving If you're excited about building AI that improves lives and More ❯

growth YOUR SKILLS AND EXPERIENCE Strong background in radar or digital signal processing (DSP) Hands-on experience deploying ML models on edge devices (C++, TensorFlow Lite) Proficiency with Python, PyTorch, TensorFlow Experience in firmware or device-level integration A startup mindset - ownership mentality, curiosity, and hands-on problem-solving If you're excited about building AI that improves lives and More ❯

growth YOUR SKILLS AND EXPERIENCE Strong background in radar or digital signal processing (DSP) Hands-on experience deploying ML models on edge devices (C++, TensorFlow Lite) Proficiency with Python, PyTorch, TensorFlow Experience in firmware or device-level integration A startup mindset - ownership mentality, curiosity, and hands-on problem-solving If you're excited about building AI that improves lives and More ❯

growth YOUR SKILLS AND EXPERIENCE Strong background in radar or digital signal processing (DSP) Hands-on experience deploying ML models on edge devices (C++, TensorFlow Lite) Proficiency with Python, PyTorch, TensorFlow Experience in firmware or device-level integration A startup mindset - ownership mentality, curiosity, and hands-on problem-solving If you're excited about building AI that improves lives and More ❯

growth YOUR SKILLS AND EXPERIENCE Strong background in radar or digital signal processing (DSP) Hands-on experience deploying ML models on edge devices (C++, TensorFlow Lite) Proficiency with Python, PyTorch, TensorFlow Experience in firmware or device-level integration A startup mindset - ownership mentality, curiosity, and hands-on problem-solving If you're excited about building AI that improves lives and More ❯

growth YOUR SKILLS AND EXPERIENCE Strong background in radar or digital signal processing (DSP) Hands-on experience deploying ML models on edge devices (C++, TensorFlow Lite) Proficiency with Python, PyTorch, TensorFlow Experience in firmware or device-level integration A startup mindset - ownership mentality, curiosity, and hands-on problem-solving If you're excited about building AI that improves lives and More ❯

growth YOUR SKILLS AND EXPERIENCE Strong background in radar or digital signal processing (DSP) Hands-on experience deploying ML models on edge devices (C++, TensorFlow Lite) Proficiency with Python, PyTorch, TensorFlow Experience in firmware or device-level integration A startup mindset - ownership mentality, curiosity, and hands-on problem-solving If you're excited about building AI that improves lives and More ❯

growth YOUR SKILLS AND EXPERIENCE Strong background in radar or digital signal processing (DSP) Hands-on experience deploying ML models on edge devices (C++, TensorFlow Lite) Proficiency with Python, PyTorch, TensorFlow Experience in firmware or device-level integration A startup mindset - ownership mentality, curiosity, and hands-on problem-solving If you're excited about building AI that improves lives and More ❯

growth YOUR SKILLS AND EXPERIENCE Strong background in radar or digital signal processing (DSP) Hands-on experience deploying ML models on edge devices (C++, TensorFlow Lite) Proficiency with Python, PyTorch, TensorFlow Experience in firmware or device-level integration A startup mindset - ownership mentality, curiosity, and hands-on problem-solving If you're excited about building AI that improves lives and More ❯

growth YOUR SKILLS AND EXPERIENCE Strong background in radar or digital signal processing (DSP) Hands-on experience deploying ML models on edge devices (C++, TensorFlow Lite) Proficiency with Python, PyTorch, TensorFlow Experience in firmware or device-level integration A startup mindset - ownership mentality, curiosity, and hands-on problem-solving If you're excited about building AI that improves lives and More ❯

growth YOUR SKILLS AND EXPERIENCE Strong background in radar or digital signal processing (DSP) Hands-on experience deploying ML models on edge devices (C++, TensorFlow Lite) Proficiency with Python, PyTorch, TensorFlow Experience in firmware or device-level integration A startup mindset - ownership mentality, curiosity, and hands-on problem-solving If you're excited about building AI that improves lives and More ❯

Electrical Engineering or related quantitative fields. Background in wireless communication systems, e.g., OFDM and MIMO technologies. Track record of related publications or successful projects. Proficiency in Deep Learning frameworks (PyTorch, JAX). Familiarity with advanced AI methods (e.g., transformer models). Excellent scientific communication and teamwork skills. Enthusiasm for innovative research with real-world impact. Join us to shape the More ❯

world validation, and continuously improve accuracy and performance. Requirements 5–7 years of experience in Computer Vision and Deep Learning with deployed production models. Strong proficiency in Python and PyTorch ; hands-on experience with OpenCV, TensorRT, ONNX, or Triton . Proven expertise in object detection/tracking models such as YOLO, Deep SORT, DINOv2 , or similar. Experience with real-time More ❯

and deliver efficient models for real-time deployment. 3+ years experience building and deploying deep learning systems, with shipped models or published research. Strong Python skills and proficiency in PyTorch or JAX. Hands-on with at least one of: LLMs, VLMs, or image/video generative models. Experience with deep learning infrastructure (datasets, distributed training, checkpointing, etc.). Productisation of More ❯

pipelines and automation tools for efficient model deployment and monitoring Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Great knowledge of NLP algorithms Expertise in Python and PyTorch Desirable Skills 👌 Can speak, or learning to speak, more than one language Experience with reinforcement learning Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.) Experience using voice data in More ❯

pipelines and automation tools for efficient model deployment and monitoring Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Great knowledge of NLP algorithms Expertise in Python and PyTorch Desirable Skills 👌 Can speak, or learning to speak, more than one language Experience with reinforcement learning Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.) Experience using voice data in More ❯

pipelines and automation tools for efficient model deployment and monitoring Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Great knowledge of NLP algorithms Expertise in Python and PyTorch Desirable Skills 👌 Can speak, or learning to speak, more than one language Experience with reinforcement learning Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.) Experience using voice data in More ❯

pipelines and automation tools for efficient model deployment and monitoring Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Great knowledge of NLP algorithms Expertise in Python and PyTorch Desirable Skills 👌 Can speak, or learning to speak, more than one language Experience with reinforcement learning Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.) Experience using voice data in More ❯

pipelines and automation tools for efficient model deployment and monitoring Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Great knowledge of NLP algorithms Expertise in Python and PyTorch Desirable Skills 👌 Can speak, or learning to speak, more than one language Experience with reinforcement learning Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.) Experience using voice data in More ❯

Requirements Strong experience with diffusion models and generative vision (Stable Diffusion, SDXL, Flux, etc.). Hands-on skills with DreamBooth, LoRA/QLoRA, and fine-tuning methods. Proficiency with PyTorch (preferred). Experience in dataset preparation (captioning, tagging, filtering, augmentation). Knowledge of GPU optimization, latent diffusion, and efficient training techniques. Strong foundations in software engineering, algorithms, and clean code More ❯

of: LLMs, VLMs, or image/video generative models — architecture, training, and inference. Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies. Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. You document experiments clearly and communicate trade‐offs crisply. Nice-to-Have: Robotics or autonomous driving experience. RL More ❯