Machine Learning Engineer Language

Get AI-powered advice on this job and more exclusive features. Founder & CEO at Ultralytics | Democratizing vision AI At Ultralytics, we relentlessly drive innovation in AI, building the world's leading open-source models. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. This full-time Machine Learning Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship. As a Machine Learning Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class Ultralytics YOLO models. You will work on the entire lifecycle of our models, from research and development to high-performance deployment. Developing, training, and validating state-of-the-art models for a variety of computer vision tasks, including detection, segmentation, and classification. Writing highly efficient, scalable, and production-ready code in Python using the PyTorch framework. Optimizing models for high-performance inference on diverse hardware using tools like NVIDIA TensorRT, OpenVINO, and ONNX. Managing and processing large-scale datasets and implementing advanced data augmentation strategies. Designing and maintaining robust CI/CD pipelines with GitHub Actions for automated model training, testing, and benchmarking. Engaging with our global community by creating documentation, tutorials, and supporting users to solve real-world problems with our technology. Your expertise will be critical in advancing the capabilities of our models and supporting Ultralytics' mission to make AI easy and accessible for everyone. ️ 5+ years of professional experience in Machine Learning Engineering or a similar role. ~ Deep expertise in Python and deep learning frameworks, with a strong preference for PyTorch. ~ Proven experience with computer vision and a strong understanding of model architectures like transformers and CNNs. ~ Hands-on experience with model optimization (i.E. quantization, pruning) and model deployment frameworks such as TensorRT, ONNX Runtime, and OpenVINO. ~ Proficiency with CUDA programming and optimizing code for GPU acceleration. ~ Experience contributing to major open-source projects is a significant advantage. Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI. Compensation and Benefits Competitive Salary: Highly competitive based on experience. Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote. Generous Time Off: 24 days vacation, your birthday off, plus local holidays. Flexible Hours: Tailor your working hours to suit your productivity. Tech: Engage with cutting-edge AI projects. Gear: Brand-new Apple MacBook and Apple Display provided. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. Employment type Full-time Industries Software Development and Information Services Sign in to set job alerts for “Machine Learning Engineer” roles. Data Scientist - AI / ML, Python, Scripting, Cyber Security Graduate Software Engineer – ML Data Platform We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #