models with wearable data (e.g., continuous heart rate, motion, respiration). Exposure to embedded AI or edge model deployment (e.g., TensorFlow Lite, Core ML, ONNX). Knowledge of healthcare data privacy and security (e.g., HIPAA, GDPR). Familiarity with GMLP (Good Machine Learning Practice) and clinical evaluation frameworks. The successful More ❯
and PyTorch. Hands-on experience with data pre-processing, feature extraction, and model optimization. Experience with edge computing and model deployment (e.g., TensorFlow Lite, ONNX Runtime). Strong problem-solving skills and ability to work independently or as part of a team. Excellent communication skills, both written and verbal. Commitment More ❯
London, England, United Kingdom Hybrid / WFH Options
NVIDIA
e.g., CNNs, LLMs, VLMs, VLAs), training robotic policies, training from simulation/Digital Twins. Proficiency in deploying AI models and optimizing inference using TensorRT, ONNX Runtime, Triton, or TensorRT-LLM is a plus. Proven experience implementing and optimizing workloads with CUDA and Nsight Tools. Experience with high performance networking technologies More ❯
London, England, United Kingdom Hybrid / WFH Options
Noir
Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (OpenNeuralNetworkExchange) We have several exciting new positions available for Machine Learning Engineers to join a forward-thinking AI company. This is your opportunity to … Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (OpenNeuralNetworkExchange) This is your chance to contribute to an innovative, technically demanding project focused on developing a cutting-edge machine learning application from the More ❯
optimization. Benchmark, analyze, and improve AI workload performance. Collaborate with the hardware team to guide architectural decisions. Extend support to additional frameworks (e.g., TensorFlow, ONNX). Produce developer documentation and resources. Requirements: 5+ years of experience in AI/ML software development. Deep understanding of PyTorch internals and other major More ❯
Bristol, England, United Kingdom Hybrid / WFH Options
MBDA Missile Systems
will have the opportunity to develop skills with the following tools and platforms: Matlab and Simulink Python Deep Learning libraries (e.g. Pytorch, scikit-learn, ONNX) C/C++ Hardware development boards (e.g. NVIDIA Jetson products) Alongside involvement with departmental activities, you will be part of a wider cohort of graduates More ❯
work in a fast-paced team. Desirable: PhD or advanced degree in ML or related field. Experience with edge deployment or inference frameworks like ONNX or TensorRT. Interest in generative models such as transformers or diffusion models. If you're a senior machine learning engineer or hold the relevant experience More ❯
Cambridge, England, United Kingdom Hybrid / WFH Options
Arm
and spoken English. “Nice To Have” Skills and Experience: Experience of Windows WDDM or Linux kernel driver development. Experience of AI frameworks (TensorFlow, PyTorch, ONNX). Knowledge of multimedia use cases including video, camera, display, and GPU. In Return: You will have the opportunity to demonstrate technical expertise and leadership More ❯
Deep Learning and Computer Vision Engineer Location: Paris, Ile de France Our client is at the forefront of real-time AI-driven 3D reconstruction and analysis; their flagship product integrates cutting-edge deep learning and computer vision techniques to reconstruct More ❯
Cambridge, England, United Kingdom Hybrid / WFH Options
Arm
Job Overview: The Arm Architecture & Technology Group shapes the long-term direction of Arm and its ecosystem. AI use cases are driving Arm's CPU architecture (for example, SME in Arm v9) and system architectures, that define the fundamental operation More ❯
WE CANNOT PROVIDE VISA SPONSORSHIP Details Preferred starting date: ASAP Weekly availability: full-time (5 days/week) Period: 6 months Location: Aerospace Innovation Hub, Delft, the Netherlands About the company Fiducial is a young but fast-growing deep-tech More ❯