576 to 600 of 1,712 PyTorch Jobs in the UK

as Python or C++). Knowledge of linear algebra, calculus and statistics equivalent to at least first-year university coursework. Experience exploring, analysing and visualising data. Experience using Jax, PyTorch, TensorFlow, NumPy, Pandas or similar ML/scientific libraries. In addition, the following would be an advantage: Experience with frontier LLM development. Experience collaborating across fields. Scientific domain knowledge. Contributions More ❯

principles of security, scalability and high availability. Very strong technical background leading application development – with experience in some or all of the following technologies: Python, Java, Spring Boot, TensorFlow, PyTorch, Apache Spark, Kafka, Jenkins, Git/Bitbucket, Terraform, Docker, ECS/EKS, IntelliJ, JIRA, Confluence, React/Typescript, Selenium, Redux, Junit, Cucumber/Gherkin. About Datalex Datalex's purpose is More ❯

Essential: Experience with at least one ML framework: TensorFlow, Pytorch. Ability to work in a secure environment is essential. Desirable: Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j). Security Clearance Only those with the permanent and unrestricted right to live and work in the UK will be considered for More ❯

Essential: Experience with at least one ML framework: TensorFlow, Pytorch. Ability to work in a secure environment is essential. Desirable: Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j). Security Clearance Only those with the permanent and unrestricted right to live and work in the UK will be considered for More ❯

Essential: Experience with at least one ML framework: TensorFlow, Pytorch. Ability to work in a secure environment is essential. Desirable: Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j). Security Clearance Only those with the permanent and unrestricted right to live and work in the UK will be considered for More ❯

Desirable but not essential Demonstrable interest in Artificial Intelligence, Machine Learning, Deep Learning, or Natural Language Processing. Some hands-on experience with AI concepts, libraries, or frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, Keras, etc.). Familiarity with Python for AI/ML development is a significant advantage. Experience with data engineering pipelines or big data technologies (e.g. More ❯

PREFERRED QUALIFICATIONS - Masters or PhD degree in computer science, or related technical, math, or scientific field - Proven knowledge of deep learning and experience using Python and frameworks such as Pytorch, TensorFlow - Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB and EC2 More ❯

to clearly communicate and present to internal and external stakeholders. Nice to have, but not essential NLP/Deep learning experience (e.g. huggingface, spaCy) Deep learning framework experience (preferably PyTorch) MLOps experience (e.g. data and model versioning, model deployment CI/CD, MLFlow/DVC) Cloud platform experience, especially from an ML standpoint (AWS preferred) Statistical testing experience Experience with More ❯

Graph-structured data, designing and utilising relational and graph databases, and knowledge of graph algorithms. Desirable Knowledge, Skills and Experience: Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j) Familiarity with one or more query languages (e.g. SQL and Cypher) Familiarity with knowledge representation, ontology design and semantic or LLM based More ❯

long term. Proficiency using Natural Language Processing techniques for solving problems, ideally including Large Language Models Proficiency in Python, particularly with machine learning and data science libraries such as PyTorch, scikit-learn, numpy and scipy Good communication and interpersonal skills Experience working with large-scale data processing systems such as Spark and Hadoop Experience in software development in agile environments More ❯

practices. Familiarity with core software tooling: Git, Unix/Linux, Docker. Opinions on your favourite IDE/editor are encouraged! Awareness of modern machine learning tools (e.g., TensorFlow, Keras, PyTorch, SKLearn). Excellent communication skills, both customer-facing and within internal teams. Some awareness of MLOps is beneficial but not essential. What We Can Offer You By joining a small More ❯

experience in AI/ML development. • Strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems. • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). • Proficiency in Python, R, or other relevant programming languages. • Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau). • Ability to work independently and lead projects from More ❯

to clearly communicate and present to internal and external stakeholders. Nice to have, but not essential NLP/Deep learning experience (e.g. huggingface, spaCy) Deep learning framework experience (preferably PyTorch) MLOps experience (e.g. data and model versioning, model deployment CI/CD, MLFlow/DVC) Some basic devops experience useful (kubectl, helm, etc.) Cloud platform experience, especially from an ML More ❯

engineering, or computer science. Experience communicating across technical and non-technical audiences. Experience in using Python and hands-on experience building models with deep learning frameworks like TensorFlow, Keras, PyTorch, MXNet. Fluency in written and spoken English. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions More ❯

Demonstrated programming expertise in Python and experience working with different types of complex and/or multi-modal datasets. Solid understanding of at least one major deep learning framework (PyTorch, TensorFlow). Knowledge of machine learning principles and state-of-the-art modelling approaches. Keenness to learn fast in a new domain and to develop your ML and software engineering More ❯

expertise in AI model development: Extensive experience in researching, building, and training AI models, with a particular focus on large language models. Essential proficiency in model frameworks such as PyTorch and/or TensorFlow, ensuring efficient and effective model development. Strong publication record: Significant contributions to the AI field, evidenced by publications in top-tier conferences and journals. Excellent interpersonal More ❯

experience in audio processing libraries (e.g., librosa, torch audio, or similar). Must understand machine learning techniques, including deep learning architectures (e.g., CNNs, RNNs, GANs) and relevant frameworks (e.g., PyTorch). Must be proficiency in data preprocessing, feature extraction, and data augmentation techniques for audio. Expected to have strong problem-solving skills and ability to think creatively to devise innovative More ❯

technologies & technical architecture. Deep understanding of industry trends, concepts, opportunities, threats & constraints. Experience & knowledge of GenAI, predictive analytics, or automation workflows in enterprise environments. Familiarity with NLP frameworks (TensorFlow, PyTorch) and LLM fine-tuning techniques. ITIL certification and/or AI/ML certifications (AWS, Google Cloud). Experience with implementing scripted web services in ServiceNow, Java, and CMDB or More ❯

technologies & technical architecture. Deep understanding of industry trends, concepts, opportunities, threats & constraints. Experience & knowledge of GenAI, predictive analytics, or automation workflows in enterprise environments. Familiarity with NLP frameworks (TensorFlow, PyTorch) and LLM fine-tuning techniques. ITIL certification and/or AI/ML certifications (AWS, Google Cloud). Experience with implementing scripted web services in ServiceNow, Java, and CMDB or More ❯

technologies & technical architecture. Deep understanding of industry trends, concepts, opportunities, threats & constraints. Experience & knowledge of GenAI, predictive analytics, or automation workflows in enterprise environments. Familiarity with NLP frameworks (TensorFlow, PyTorch) and LLM fine-tuning techniques. ITIL certification and/or AI/ML certifications (AWS, Google Cloud). Experience with implementing scripted web services in ServiceNow, Java, and CMDB or More ❯

Excellent understanding of modern programming languages such as Ruby, Python, Perl, and Java developing ML models and automation scripts. Experience with popular ML frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn, and Keras. Understanding of algorithms and techniques for supervised and unsupervised learning. Experience with tools for model monitoring, logging, and performance evaluation, such as MLflow or Prometheus. Strong More ❯

Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience with deep learning frameworks (PyTorch preferred) Familiarity with large-scale machine learning, particularly in the context of language models Ability to balance research goals with practical engineering constraints Strong problem-solving skills and a results More ❯

of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience. - Proficient in Python or related language. - Hands-on model training experience in PyTorch and deep learning frameworks such as MMEngine or Megatron-LM; experienced in large-scale deep learning or machine learning operations. - Familiar with modern visual-language models, multi-modal AI systems More ❯

of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience. - Proficient in Python or related language. - Hands-on model training experience in PyTorch and deep learning frameworks such as MMEngine or Megatron-LM; experienced in large-scale deep learning or machine learning operations. - Familiar with modern visual-language models, multi-modal AI systems More ❯

Excellent understanding of modern programming languages such as Ruby, Python, Perl, and Java developing ML models and automation scripts. Experience with popular ML frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn, and Keras. Understanding of algorithms and techniques for supervised and unsupervised learning. Experience with tools for model monitoring, logging, and performance evaluation, such as MLflow or Prometheus. Strong More ❯