1 to 25 of 33 PyTorch Jobs in Hampshire

2+ years of leadership or technical mentoring experience. Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining ML pipelines and data pipelines. Proficiency in model deployment techniques (e.g., serving models … for ML, reproducibility. Experience with Docker and container orchestration (e.g., Kubernetes). Preferred Skills: Experience with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases More ❯

2+ years of leadership or technical mentoring experience. Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining ML pipelines and data pipelines. Proficiency in model deployment techniques (e.g., serving models … for ML, reproducibility. Experience with Docker and container orchestration (e.g., Kubernetes). Preferred Skills: Experience with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases More ❯

2+ years of leadership or technical mentoring experience. Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining ML pipelines and data pipelines. Proficiency in model deployment techniques (e.g., serving models … for ML, reproducibility. Experience with Docker and container orchestration (e.g., Kubernetes). Preferred Skills: Experience with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases More ❯

in digital signal processing (DSP) and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Understanding of real-time and embedded audio processing techniques. Experience working with generative AI models for audio synthesis and transformation. Strong problem-solving skills with the ability to More ❯

in digital signal processing (DSP) and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Understanding of real-time and embedded audio processing techniques. Experience working with generative AI models for audio synthesis and transformation. Strong problem-solving skills with the ability to More ❯

in digital signal processing (DSP) and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Understanding of real-time and embedded audio processing techniques. Experience working with generative AI models for audio synthesis and transformation. Strong problem-solving skills with the ability to More ❯

Job Title: Machine Learning Engineer Location: Fully Remote UK Job Type: 6 Month Contract + chance for extension Interview Process: Video Interviews held remotely Rate: DOE Outside IR35 A Private Equity firm are seeking a Machine Learning Engineer to join More ❯

Job Title: Machine Learning Engineer Location: Fully Remote UK Job Type: 6 Month Contract + chance for extension Interview Process: Video Interviews held remotely Rate: DOE Outside IR35 A Private Equity firm are seeking a Machine Learning Engineer to join More ❯

Social network you want to login/join with: Job Type: 6 Month Contract + chance for extension Interview Process : Video Interviews held remotely A Private Equity firm are seeking a Machine Learning Engineer to join on an initial 6 More ❯

Social network you want to login/join with: Machine Learning Engineer, portsmouth, hampshire col-narrow-left Client: X4 Technology Location: portsmouth, hampshire, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 7 Posted More ❯

industry experience Data Science/Machine Learning in one or more of: Anomaly detection Excellent skills in Python and S QL Experience with libraries such as Scikit-learn, Tensorflow, Pytorch Strong data wrangling skills for merging, cleaning and sampling data Strong data visualisation and communication skills are essential Understanding of the software development life cycle and experience using version control More ❯

Who are Benifex? We are a fast-moving technology company, and one of the most successful providers of online reward and benefits solutions in the UK. We believe that everyone deserves an exceptional experience at work, every day, and build More ❯

the data pipeline and MLOps practices for handling sensitive legal content securely. Required Experience: Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face, TensorFlow/PyTorch). Experience building NLP or document analysis solutions, ideally for legal or compliance use cases. Strong understanding of legal language, structures, and workflows (e.g., contracts, clauses, case law). Knowledge More ❯

the data pipeline and MLOps practices for handling sensitive legal content securely. Required Experience: Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face, TensorFlow/PyTorch). Experience building NLP or document analysis solutions, ideally for legal or compliance use cases. Strong understanding of legal language, structures, and workflows (e.g., contracts, clauses, case law). Knowledge More ❯

systems in environments with resource constraints or within safety-critical industries. Advanced proficiency in Python and C++ programming languages. Hands-on experience with leading machine learning frameworks like TensorFlow, PyTorch, or similar tools. Strong background in embedded systems and experience integrating computer vision algorithms into hardware platforms. In-depth knowledge of various sensors, including cameras, LIDAR, and RADAR, and their More ❯

the data pipeline and MLOps practices for handling sensitive legal content securely. Required Experience: Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face, TensorFlow/PyTorch). Experience building NLP or document analysis solutions, ideally for legal or compliance use cases. Strong understanding of legal language, structures, and workflows (e.g., contracts, clauses, case law). Knowledge More ❯

applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross-functional teams to understand More ❯

applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross-functional teams to understand More ❯

mitigation of biases in AI-driven dark web analysis applications. WHAT ARE WE LOOKING FOR? Strong programming skills in Python, with experience in AI/ML libraries such as PyTorch, Langchain, and Hugging Face. Hands-on experience with LLMs, retrieval-augmented generation (RAG), and transformer-based architectures such as GPT, BERT, or T5. Experience training and fine-tuning smaller deep More ❯

applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross-functional teams to understand More ❯

numi are proud to be working with an company looking for an AI Engineer to help integrate cutting-edge AI into their Learning Technologies products. This role is all about turning AI research into real, impactful product features. What You More ❯

numi are proud to be working with an company looking for an AI Engineer to help integrate cutting-edge AI into their Learning Technologies products. This role is all about turning AI research into real, impactful product features. What You More ❯

memory layouts using tools like LLVM or MLIR Work with hardware teams to ensure the software stack fully leverages the capabilities of our OTPU architecture Extend ML frameworks (e.g., PyTorch, ONNX, OpenXLA) to support performance-critical inference paths Lead design reviews, mentor engineers, and promote best practices in HPC and performance engineering Stay updated with new developments in AI infrastructure … C++ and Python for performance-sensitive applications Hands-on experience with ML compilers (e.g., LLVM, MLIR), and knowledge of runtime and scheduling optimizations Practical knowledge of ML frameworks like PyTorch, ONNX, or OpenXLA, and how to optimize their execution Experience scaling AI workloads across clusters or custom infrastructure Strong debugging, profiling, and performance-tuning skills across the stack Degree in More ❯

memory layouts using tools like LLVM or MLIR Work with hardware teams to ensure the software stack fully leverages the capabilities of our OTPU architecture Extend ML frameworks (e.g. PyTorch, ONNX, OpenXLA) to better support performance-critical inference paths Lead design reviews, mentor engineers, and promote best practices in HPC and performance engineering Stay on the frontier of new developments … and Python, especially for performance-sensitive applications Hands-on experience with ML compilers (e.g. LLVM, MLIR), and knowledge of runtime and scheduling optimisations Practical knowledge of ML frameworks like PyTorch, ONNX, or OpenXLA, and how to optimise their execution Experience scaling AI workloads across clusters or custom infrastructure—not just deploying on standard cloud setups Strong debugging, profiling, and performance More ❯

and project planning discussions. Requirements Strong proficiency in C/C++ and Python Deep understanding of computer vision , image processing , and machine learning Experience with libraries like OpenCV , TensorFlow , PyTorch , or Jetson Hands-on experience with embedded systems , real-time processing , and HW/SW integration Experience in defense, aerospace, or mission-critical applications Familiarity with guidance systems or flight More ❯