1 to 25 of 54 Permanent PyTorch Jobs in the UK excluding London

in data manipulation Prior work experience with analytical/statistical data analysis tools such as R and Python and deep learning libraries such as PyTorch, TensorFlow, Keras Familiarity with data visualization and dimensionality reduction algorithms Ability to develop, benchmark and apply predictive algorithms to generate hypotheses Comfortable working in cloud more »

deploying machine learning models and algorithms in real-world applications. - Strong proficiency in Python programming and popular machine learning libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn). - Deep understanding of machine learning concepts and techniques, including supervised/unsupervised learning, deep learning, reinforcement learning, etc. - Strong communication and interpersonal more »

as C++, Java, Scala or Python Experience with at least one of the modern distributed Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, MxNet Caffe, and Keras Experience building large-scale machine-learning infrastructure that have been successfully delivered to customers Experience defining system architectures and exploring technical more »

with Azure Databricks desirableSolid background in machine learning algorithms, data preprocessing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable.Proficiency in handling large datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB.Understanding of CI/CD pipelines, containerisation (Docker, Kubernetes more »

AI strategy. Key skills: Python for Machine Learning and Data Science Computer Vision Frameworks used in Machine Learning and Data Science such as TensorFlow, PyTorch, and scikit-learn. Data Science and Visualisation libraries including Pandas, NumPy, scikit-learn, matplotlib, Seaborn. Cloud services used in machine learning and data science, such more »

relevant experience working as an Machine Learning Engineer/AI Engineer Strong foundation in Python Excellent knowledge of ML libraries and frameworks like TensorFlow, PyTorch, Keras and scikit-learn. Experience with neural network architectures, deep learning techniques, and building and training deep learning models. Creating and handling large datasets including more »

DevOps software development methodology Familiarity with CI/CD and pipeline automation Familiarity of machine learning principals/pipelines and associated toolsets such as Pytorch and Tensorflow Familiarity with Azure, AWS, GCP products and services - Knowledge of technologies including: Docker or Kubernetes Distributed version control systems such as Git Exposure more »

pipelines (e.g. GitLab CI, GitHub Actions) and version control systems (e.g. Git). · Understanding of data science workflows and machine learning frameworks (e.g. TensorFlow, PyTorch). · Excellent problem-solving and communication skills. · Strong teamwork and collaboration abilities. Salary for this opportunity is between £45k-£50k plus company benefits. These include more »

ability to work effectively in a collaborative environment. Bonus points if you have Experience with computer vision libraries and frameworks, such as OpenCV, TensorRT, PyTorch, and CUDA. Knowledge of cloud platforms like AWS, GCP, or Azure. Experience with performance and load testing tools. Understanding of machine learning concepts and deployment more »

ML/AI solutions in production Proficiency in Docker, Kubernetes, and AWS services Experience using Deep Learning frameworks like Tensorflow, Jax, and/or Pytorch Proven experience in either NLP, Computer Vision, Anomaly Detection or Hybrid Modeling Not a 100% match? No worries! Airbus supports your personal growth with customised more »

and publications. Strong experience with Python. Cloud infrastructure is beneficial (Ideally GCP but AWS and Azure is fine). Knowledge of ML libraries (TensorFlow, PyTorch, NumPy, and Pandas etc). Knowledge of Computer Vision. Nice-to-Have Skills or Background: Experience in genomics or bioinformatics research projects in an academic more »

experience as a python software engineer, preferably in the biotech or healthcare industry- Proficiency in broader Python ecosystem Django, NumPy, pandas, scikit-learn, TensorFlow, PyTorch, etc.- Experience in machine learning, data science, and data visualization, using tools such as Jupyter, matplotlib, seaborn, plotly, etc.- Knowledge of web development, RESTful APIs more »

field, or a Bachelor's degree with relevant experience. Proven experience in machine learning model development and deployment, particularly with deep learning frameworks (Tensorflow, PyTorch, etc.). Strong understanding of speech recognition, natural language processing (NLP), and their applications in facial animation. Experience working with audio data processing and analysis. more »

PythonStrong NLP experience - NumPy, Pandas etc.Commercial experience leveraging open-source models, finetuning LLMs & RAG pipelinesExpertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch etc.)MLOps experienceNice to have:Familiarity with Git or other Version Control SystemsComputer Vision Library exposureUnderstanding of Big Data Technologies (Hadoop, Spark etc)Experience with more »

Technical Experience: Proficiency in Java, Kotlin, or Python. Experience with NLP, ML-Ops, and data pipelines. Familiarity with ML frameworks such as TensorFlow or PyTorch Strong understanding of ML algorithms, statistical techniques, and data analysis. Experience with AWS or other cloud technology Background in AI/ML-based analytics products more »

Fluency in Python with deep knowledge of statistical packages and ML/DL libraries/frameworks (e.g., Scikit-learn, NumPy, Keras/TensorFlow/PyTorch) and visualization libraries (e.g., Matplotlib, Plotly, Seaborn). Database Skills: Fluency in SQL and familiarity with data visualization tools (e.g., DataStudio, Tableau). Statistical Analysis more »

security testing and red-teaming. Excellent communication and leadership skills. Skills and Competencies: Deep knowledge of AI and machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn. Proficiency in programming languages such as Python and R. Strong problem-solving skills and the ability to think critically and creatively. Ability more »

in our ML stack Skills and experience Familiar with the Python-based data science tech stack Python Docker & Kubernetes AWS Cloud Deep learning frameworks - Pytorch and Tensorflow HuggingFace ecosystem [optional] Other machine learning frameworks - scikit-learn, XGboost, CatBoost etc Ability to understand and develop state-of-the-art implementations Familiarity more »

related field. Strong proficiency in programming languages commonly used in machine learning, preferably Python. Experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, scikit-learn, or Apache Spark. Proven track record of developing and implementing machine learning solutions in a professional setting. Passion for exploring new technologies and more »

or get in touch. Tech Stack: Python GNU/Linux Mathematical + Scientific Libraries (Numpy etc..) Azure NumPy, SciPy, Matplotlib, Pandas, Scikit-learn, TensorFlow, PyTorch, scikit-learn, Keras, matplotlib, seaborn, plotly, bokeh, Altair, Django, Flask, requests, BeautifulSoup, Jinja2 Humand Talent Solutions and their clients and associates do not discriminate on more »

planet for the better. Tech Stack: Python GNU/Linux Mathematical + Scientific Libraries (Numpy etc..) Azure NumPy, SciPy, Matplotlib, Pandas, Scikit-learn, TensorFlow, PyTorch, scikit-learn, Keras, matplotlib, seaborn, plotly, bokeh, Altair, Django, Flask, requests, BeautifulSoup, Jinja2 Humand Talent Solutions and their clients and associates do not discriminate on more »

background in maths and statistics Experience working within Oncology Experience processing, analysing and interpreting NGS data Exposure to ML tools and frameworks eg Tensorflow, Pytorch Proficient programming skills (Ideally Python) Familiarity with standard software engineering tools (Jira, Git, CI/CD) Experience using workflow management systems (Nextflow, Snakemake) Exposure to more »

work with AR solutions. Solid background in machine learning and AI, particularly in an AR setting. Proficiency in utilising machine learning frameworks like TensorFlow, PyTorch, and programming languages such as Python, Java, and C++. Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field. more »

model development and deployment. Excellent communication and teamwork skills, capable of collaborating effectively with non-technical colleagues. Strong knowledge of Python and ML libraries (PyTorch, Tensorflow, Keras, etc.) with R/SQL knowledge, partnered with experience with MLOps tools (Kubernetes, Docker, Jenkins, etc.) would be advantageous. Strong knowledge and experience more »

Parallel Scripting). - Strong experience with UNIX operating system, particularly the command line interface. - Demonstrable experience in common AI/ML frameworks such as PyTorch, TensorFlow, OpenNN. - Knowledgeable in different types of neural networks and other ML techniques, including Gaussian Processes, confidence measures, clustering techniques, and application of neural networking more »