26 to 40 of 40 PyTorch Jobs in Yorkshire

in AI/ML development, with a strong portfolio of projects. Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch). Strong problem-solving skills and the ability to work in a fast-paced environment. Excellent communication and teamwork abilities. What We Offer: Competitive salary and benefits package. Opportunity to More ❯

MVPs. Client Project Delivery: Support AI project delivery, collaborate across teams, and assist in client presentations. Coding & Implementation: Write and optimize AI code, deploy models using tools like TensorFlow, PyTorch, and cloud platforms. Data Management & Integration: Work with data teams to manage data pipelines, ensure data quality, and comply with data governance and privacy standards. Practise Building: Demonstrate AI potential More ❯

the latest data science trends and technologies. Ensure compliance with regulatory and internal policies. Qualifications Strong statistical background with expertise in Python; ML frameworks like Scikit-learn, TensorFlow, or PyTorch are a plus. Deep understanding of data analytics tools and techniques; strong SQL skills; experience with Snowflake and data visualization are essential. Experience with Palantir Foundry and cloud platforms is More ❯

source models. Solid Python programming skills with a focus on ML, NLP, deep learning, generative AI, and image/OCR processing. Hands-on experience with frameworks such as TensorFlow, PyTorch, Hugging Face, Spacy, OpenCV, Regex , or similar. Strong awareness of secure coding practices, production deployment, and API resilience. Nice to Have: Experience using PostgreSQL for data storage and management. Familiarity 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 ❯

Python, with a focus on machine learning, deep learning, natural language processing, generative AI, image processing and OCR all additional positives. Experience with some of the following frameworks - TensorFlow, Pytorch, Hugging face, Spacy, OpenCV, Regex or equivalents. Experience delivering safe code to production, focusing on cybersecurity and resilience of the application and APIs. Desirable Skills/Experience Although not essential More ❯

internal policy requirements. What you'll have: Be highly numeratewith astatistical background, with strong expertise in Python is essential. Exposure to ML Frameworks like Scikit Learn/TensorFlow/PyTorch would be beneficial. Have a deep understanding of data analytics technologies and an eagerness to explore new tools and techniques. Strong SQL skills are a must, with exposure to Snowflake More ❯

source models. Solid Python programming skills with a focus on ML, NLP, deep learning, generative AI, and image/OCR processing. Hands-on experience with frameworks such as TensorFlow, PyTorch, Hugging Face, Spacy, OpenCV, Regex , or similar. Strong awareness of secure coding practices, production deployment, and API resilience. Nice to Have: Experience using PostgreSQL for data storage and management. Familiarity More ❯

regulated industry would be highly preferable. You’ll be highly numeratewith astatistical background, with strong expertise in Python essential. Exposure to ML Frameworks like Scikit Learn/TensorFlow/PyTorch would be beneficial. You’ll have a deep understanding of data analytics technologies and an eagerness to explore new tools and techniques. Strong SQL skills are a must, with exposure More ❯

would be highly preferable. You'll be highly numerate with a statistical background, with strong expertise in Python essential. Exposure to ML Frameworks like Scikit Learn/TensorFlow/PyTorch would be beneficial. You'll have a deep understanding of data analytics technologies and an eagerness to explore new tools and techniques. Strong SQL skills are a must, with exposure More ❯

of Software Development Experience. Strong proficiency in Python, with hands-on experience in asynchronous programming (Python asyncio). 2 plus years of experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Keras). Strong problem-solving skills and the ability to work collaboratively in a team environment. Preferred: Experience with embedded systems and IoT technologies. Some experience with C/ More ❯

implementing AI solutions in complex enterprise environments Experience in all architecture domains:- application, data, cloud ( AWS) and technology with expertise with AI, Gen Ai and ML frameworks (e.g., TensorFlow, PyTorch, AWS Sagemaker, AWS Bedrock, OpenAI). Strong experience of AI services and AI lifecycle and model training Proficiency in backend and frontend technologies such as .NET Core, Node.js, and React More ❯

on experience in developing image processing algorithms: segmentation, classification, object detection and other image analysis applications Familiarity with machine learning and neural networks (YOLO, CNNs, etc.) Experience using TensorFlow, PyTorch , or similar frameworks Understanding of image-processing pipeline design , numerical methods , and statistics Strong problem-solving ability, able to move from analysis to prototype quickly Desirable Experience Experience with TensorRT More ❯

python, with a focus on machine learning, deep learning, natural language processing, generative AI, image processing and OCR all additional positives. Experience with some of the following frameworks - TensorFlow, Pytorch, Hugging face, Spacy, OpenCV, Regex or equivalents. Experience delivering safe code to production, focusing on cybersecurity and resilience of the application and APIs. More ❯

successful use of Nscale’s training, fine-tuning, and inference APIs. Requirements 5+ years of experience building and deploying machine learning systems in production environments. Proficiency in Python and PyTorch, with a strong understanding of transformer architectures, LLMs, and multimodal generative models. Expertise in distributed training frameworks like DeepSpeed or Fully Sharded Data Parallel (FSDP). Experience with GPU programming More ❯