501 to 525 of 1,678 PyTorch Jobs in England

deploying machine learning models Solid understanding of data science and machine learning concepts Experience with some machine learning/data engineering machine learning tech in Python (such as numpy, pytorch, pandas/polars, airflow, etc) Experience developing data products using large language model, prompt engineering, model evaluation. Experience with web services and programming (such as Python, docker, databases etc.) Great More ❯

tuning Large Language Models or interactive AI applications (>1 year post-graduate experience); Technical proficiency in programming languages and frameworks commonly used in NLP and AI (e.g., Python, TensorFlow, PyTorch); Preferably several years of experience working with different AI capabilities and showcasing your passion both at work and outside work in the utilization of AI; Excellent communication skills to collaborate More ❯

data-driven features into production. Your Profile: Experience in both data engineering and machine learning, with a strong portfolio of relevant projects. Proficiency in Python with libraries like TensorFlow, PyTorch, or Scikit-learn for ML, and Pandas, PySpark, or similar for data processing. Experience designing and orchestrating data pipelines with tools like Apache Airflow, Spark, or Kafka. Strong understanding of More ❯

data-driven features into production. Your Profile: Experience in both data engineering and machine learning, with a strong portfolio of relevant projects. Proficiency in Python with libraries like TensorFlow, PyTorch, or Scikit-learn for ML, and Pandas, PySpark, or similar for data processing. Experience designing and orchestrating data pipelines with tools like Apache Airflow, Spark, or Kafka. Strong understanding of More ❯

/or voice recognition systems that are deployed to production environments Must have solid programming skills in Python, along with experience in using relevant tools and frameworks such as PyTorch, FastAPI and Huggingface; moderate programming skills in Java are a plus. Familiarity with ML Ops system design and working with ML platforms (preferably, AWS SageMaker) is a plus. Strong analytical More ❯

/or ML-enabled microscopy imaging. Knowledge of programming languages (e.g., Python), cloud infrastructure (e.g., Google Cloud), software (e.g., GitHub, Docker), ML model design and scientific libraries (e.g. TensorFlow, PyTorch, NumPy and Pandas). Experience with Cell Therapy Conferences such as: Advanced Therapies Week (Phacilitate), Allogeneic Cell Therapies Summit, ASGCT, ISCT, or Meeting on the Mesa, or AI conferences such More ❯

with general-purpose programming languages (e.g., Go, Ruby). Minimum 3 years experience with cloud environments and/or CNCF concepts. Proficiency with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Strong understanding of data science principles. GitHub values Customer-obsessed Ship to learn Growth mindset Own the outcome Better together Diverse and inclusive Manager fundamentals Model Coach More ❯

as Tech Lead on projects; Participate in Kpler’s Machine Learning community, tackling a broad range of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, PyTorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, YOLO, Detectron2) AWS, Postgres, Apache Airflow, Kafka, Spark Mandatory requirements: At least 5 years of More ❯

HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.) Familiarity with Deep Learning techniques (e.g. Network architectures, regularization techniques, learning techniques, loss-functions, optimization strategies, etc.) Familiarity with PyTorch , TensorFlow , JAX or similar frameworks Strong coding abilities in Python and/or C++ Preferred Qualifications 2D & 3D Generative AI Reinforcement Learning LLMs and Natural Language Processing Computational geometry and More ❯

AI or machine learning product implementation with APIs, back-end and front-end interfaces. • You have strong technical coding skills in Python • You have experience with deep learning with Pytorch • You have experience with agents framework such as Langchain, vector DBs • You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and More ❯

innovative models for Natural Language Programming (NLP), Large Language Model (LLM), or Large Computer Vision Models. Use SQL to query and analyze the data. Use Python, Jupyter notebook, and Pytorch to train/test/deploy ML models. Use machine learning and analytical techniques to create scalable solutions for business problems. Research and implement novel machine learning and statistical approaches. More ❯

data-driven features into production. Your Profile: Experience in both data engineering and machine learning, with a strong portfolio of relevant projects. Proficiency in Python with libraries like TensorFlow, PyTorch, or Scikit-learn for ML, and Pandas, PySpark, or similar for data processing. Experience designing and orchestrating data pipelines with tools like Apache Airflow, Spark, or Kafka. Strong understanding of More ❯

Preferred Will be curious, enjoy problem solving and have empathy for the problems you are challenged with Working knowledge on data science frameworks and toolkits (Scipy, Scikit-Learn, Keras, PyTorch, Etc.) Experience with Git, Databricks and Microsoft Azure technical stack Prior exposure to Agile methodologies Experience building large scale machine learning systems Master's Degree in Computer Science, Data Science More ❯

knowledge of data quality standards and annotation processes, with the ability to independently evaluate and improve models Proficiency in Python and familiarity with relevant ML frameworks and libraries (e.g., PyTorch) Experience with cloud services such as AWS, GCP, or Azure Excellent verbal and written communication skills, with the ability to convey complex technical concepts to diverse audiences A passion for More ❯

series forecasting and analysis, demonstrating the ability to mentor teams and manage cross-functional projects Deep Learning for Time Series:Advanced knowledge in applying deep learning techniques (using TensorFlow, PyTorch) to time series data, enhancing predictive accuracy and model complexity Ethical AI and Continuous Learning:A strong understanding of AI ethics and privacy considerations, especially in the context of time More ❯

GitHub Actions, Azure Pipelines). Familiarity with containerization (Docker) Understanding of RESTful APIs and microservices architecture. Experience with AI/ML-related tools and libraries (e.g., Hugging Face, LangChain, PyTorch) preferred A strong intuition for what makes products a joy to use. Empathy for how different users will need different things out of a product at different stages, and how More ❯

/or voice recognition systems that are deployed to production environments Must have solid programming skills in Python, along with experience in using relevant tools and frameworks such as PyTorch, FastAPI and Huggingface; moderate programming skills in Java are a plus. Familiarity with ML Ops system design and working with ML platforms (preferably, AWS SageMaker) is a plus. Strong analytical More ❯

Working with Data Scientists to deploy trained machine learning models into production environments; Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch; Experience with software engineering best practices and developing applications in Python; Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud More ❯

a relevant STEM-related BSc degree or equivalent qualification, or other evidence of equivalent knowledge. Professional or research experience in some of the following: ML/NLP tools like PyTorch, Scikit-learn, Transformer architecture, and Neural Networks. Coding and software engineering in mainstream programming languages, such as Python. Statistical packages for data manipulation and in the development of predictive and More ❯

ML infrastructure using languages such as Python, C++ or Rust - Hands-on experience with parallel computing platforms such as CUDA, OpenMP, etc - Deep understanding of AI frameworks such as PyTorch, TensorFlow, and JAX, and their demands on underlying compute infrastructure, memory bandwidth, network interconnect, and storage as scale goes up - Knowledge of emerging AI hardware accelerators and architectures - Experience with More ❯

Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills And Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability More ❯

R & D problems that directly impact customers. OUR TECHNOLOGY STACK: Python • Agentic tools (Autogen, Semantic Kernel, LangChain) • SQL • MongoDB • Third-party LLM APIs • LiteLLM • MLflow • Google Cloud Platform • Docker • PyTorch • Hugging Face Transformers • SPARQL • Kubernetes WHAT YOU WILL BE DOING AT BEAMERY Join us at the forefront of transforming how organisations manage talent and plan their workforce. We're building More ❯

or machine learning roles, preferably in a fast-paced tech or enterprise environment. Proficient in Python or R, SQL, and common machine learning frameworks (e.g., scikit-learn, TensorFlow, XGBoost, PyTorch). Strong foundation in statistics, probability, and hypothesis testing. Experience with cloud platforms (AWS, GCP, Azure) and big data tools (Spark, Hive, Databricks, etc.) is a plus. Excellent communication and More ❯

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 ❯