526 to 550 of 1,675 PyTorch Jobs in England

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 ❯

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 ❯

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 ❯

generative AI. Able to contextualise these techniques in industry settings, such as financial forecasting, operations optimisation, or customer segmentation. Comfortable with key ML frameworks (such as Scikit-learn, TensorFlow, PyTorch, Hugging Face ) and data manipulation tools ( Pandas, NumPy ), as well as version control, containerisation, and ML deployment pipelines. Understands how to apply MLOps principles in production environments To be successful 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 ❯

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 ❯

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 ❯

Social network you want to login/join with: For over 20 years, Abcam has been providing tools the scientific community needs to enable faster breakthroughs in critical areas like cancer, neurological disorders, infectious diseases, and metabolic disorders. We believe More ❯

Staff Machine Learning Engineer, Anomaly Detection United Kingdom, London Why PlayStation? PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The More ❯

Staff Machine Learning Engineer, Anomaly Detection United Kingdom, London Why PlayStation? PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The More ❯

Entelo Bio is redefining the boundaries of precision medicine. Harnessing advanced machine learning and proprietary single-cell sequencing technologies, we’re pioneering a new era of therapeutic discovery beyond traditional gene expression analysis. Our revolutionary platform is transforming target discovery More ❯

Get AI-powered advice on this job and more exclusive features. This range is provided by Intellect Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Direct More ❯

Social network you want to login/join with: Do you want to help us improve human health and understand life on Earth? Make your mark by shaping the future to enable or deliver life-changing science to solve some More ❯

Machine Learning Engineer - SaaS - London (Tech stack: Machine Learning Engineer, Python, TensorFlow, PyTorch, scikit-learn, Keras, Natural Language Processing (NLP), Hugging Face Transformers, Pandas, NumPy, Jupyter Notebooks, Matplotlib, Seaborn, Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) We have several exciting … Engineer candidates with experience in some or all of the following (full training will be provided to fill any gaps in your skill set): Machine Learning Engineer, Python, TensorFlow, PyTorch, scikit-learn, Keras, Natural Language Processing (NLP), Hugging Face Transformers, Pandas, NumPy, Jupyter Notebooks, Matplotlib, Seaborn, Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure More ❯

Strong background in machine learning, data science, or AI, with a degree in a related field Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch, Demonstrated ability to build and optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Desirable: Prior experience within the defence, aerospace, or national … Strong background in machine learning, data science, or AI, with a degree in a related field Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch, Demonstrated ability to build and optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Desirable: Prior experience within the defence, aerospace, or national More ❯

Strong background in machine learning, data science, or AI, with a degree in a related field Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch, Demonstrated ability to build and optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Desirable: Prior experience within the defence, aerospace, or national … Strong background in machine learning, data science, or AI, with a degree in a related field Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch, Demonstrated ability to build and optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Desirable: Prior experience within the defence, aerospace, or national More ❯

expertise in multi-modal data integration and representation learning, ideally applied to biological or pharmaceutical problems. Advanced programming skills in Python, with SME knowledge of deep learning frameworks in PyTorch, Hugging Face, or PyTorch Lightning. Proficiency in modern software development practices: version control (Git), continuous integration, testing, and Python packaging (e.g., uv). Plusses: Experience with high-content screening, high More ❯

expertise in multi-modal data integration and representation learning, ideally applied to biological or pharmaceutical problems. Advanced programming skills in Python, with SME knowledge of deep learning frameworks in PyTorch, Hugging Face, or PyTorch Lightning. Proficiency in modern software development practices: version control (Git), continuous integration, testing, and Python packaging (e.g., uv). Plusses: Experience with high-content screening, high More ❯