1 to 25 of 146 PyTorch Jobs in the UK

team is developing a deep learning compiler stack that takes state of the art LLM and Vision models created in frameworks such as TensorFlow, PyTorch, and JAX, and makes them run performantly on our accelerators. The team is comprised of some of the brightest minds in the engineering, research, and … or more of the following programming languages: C++, C, Python PREFERRED QUALIFICATIONS - Masters degree or PhD in computer science or equivalent - Experience optimizing Tensorflow, PyTorch or JAX deep learning models - Experience with multiple toolchains like LLVM, OpenXLA/XLA, MLIR, TVM Amazon is committed to a diverse and inclusive workplace. 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 delivering successful data science projects. Proficiency in programming languages such as Python, R, or Scala. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Strong knowledge of statistical modelling, data mining, and data visualization techniques. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms more »

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 »

a strong focus on machine learning and time series forecasting. Expertise in Python and its data science libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch). Solid understanding of ML and data pipeline architectures and best practices. Experience with big data technologies and distributed computing (e.g., Spark, Hadoop) is a more »

developers, and contribute to the overall improvement of development processes. Additional duties as needed. Preferred Skills: Experience with additional frameworks and libraries such as PyTorch or TensorFlow. Knowledge of data engineering and ETL processes. Experience with version control systems, particularly Git. Knowledge of telecommunications technologies and industry standards. Qualifications: Bachelor more »

least 3 years in a managerial role overseeing a team of engineers. Proficiency in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of data science principles, predictive modelling, and advanced analytics. Excellent problem-solving skills and the ability to think critically and more »

as a Data Scientist or similar role Proficiency in programming languages such as Python or R, along with libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Pandas. Strong knowledge of statistical analysis, hypothesis testing, and experimental design. Experience with SQL databases, data warehousing, and big data technologies. Familiarity more »

in a tech team using a diverse tech stack including: Backend: Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, Flask. Frontend: React, Next.js. Data Science: Python, Jupyter, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Weights and biases. Infra: Pulumi, Docker, AWS AppRunner, Step Functions, Grafana cloud monitoring, Prefect. Who you are Must haves: Experience 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 »

and deploying machine learning models and algorithms in a production environment. Proficiency in machine learning and deep learning frameworks and libraries such as TensorFlow, PyTorch, or similar. Strong programming skills in Python or another relevant language. Deep understanding of recommender systems, search & ranking algorithms, and marketing analytics. Excellent problem-solving 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 »

in large and complex Data Driven environmentMinimum of 3 years of hands-on experience in AI/ML developmentProven experience in Python, R, TensorFlow, PyTorch or Similar FrameworksPrevious Experience building Predictive Models (e.g., Research Pricing, recommendation systems)Strong background in Cloud platforms (AWS, GCP, Azure) and Containerisation (Kubernetes, DockerProven Experience more »

a plus. Solid background in machine learning algorithms, data pre-processing, 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, containerization more »

background in computer vision ML models and using modern frameworks for deploying these models. Proficient in Python, and familiar with deep learning frameworks like PyTorch (required) and TensorFlow. Skilled in using cloud services (GCP, AWS or Azure) If you’re interested in this role, please apply through the advert to more »

Ensure code quality, performance, and scalability. Qualifications Bachelor’s Degree in Computer Science, Information Systems, Mathematics, etc. 7+ years in Python and libraries like PyTorch, NumPy, Pandas, Matplotlib, QuantLib, etc Experience in Systems that handle high-throughput, low-latency data Experience with multi-threading, concurrency, and high-frequency trading (HFT more »

engineering. 3+ years of experience managing software engineering teams. Proficiency in code review and technical problem-solving to support and unblock engineers. Experience with PyTorch or Python. Hands-on experience with LLMs, multimodal, and NLP applications is highly desirable. Proven people management or mentoring experience. Strong project management skills, including more »

and regression modelling techniques. Knowledge of NLP techniques such as NLI, Q&A answering using LLMs. Working knowledge of deep learning libraries such as PyTorch or tensorflow. Demonstratable Python experience including coding in Jupyter Notebooks and also the ability to write productionised code, for example, a Flask API to serve more »

SLURM, Ray, or similar. Experience in creating and managing multi-instance clusters for data and model parallel training across GPUs/TPUs, preferably using PyTorch and Kubernetes. Proficiency in efficient serving of large machine learning models at scale, including quantisation and distributed computing. General: Keen interest in AI and AI more »

processing experience(RISC-V Vector) Strong software development skills using standard development tools (e.g., Git, Jira, etc.) Basic understanding of machine learning frameworks (TensorFlow, PyTorch, etc.) Excellent problem-solving skills with a logical and analytical mindset Strong communication and interpersonal skills to collaborate effectively within a team environment Ability to more »

have current experience working on the development of SNNs, with strong coding skills in C++ and a knowledge of Cuda. Experience in Python and Pytorch would also be valuable. Postgraduate or post-doctoral experience in working on SNNs would be an advantage. Experience working on SNN development in a commercial more »

SLURM, Ray, or similar. Experience in creating and managing multi-instance clusters for data and model parallel training across GPUs/TPUs, preferably using PyTorch and Kubernetes. Proficiency in efficient serving of large machine learning models at scale, including quantisation and distributed computing. Other: Experience at a leading machine learning more »

principles and experience with parallel programming models (e.g., MPI, OpenMP) for distributed AI processing. Deep understanding of AI model architectures, algorithms, and frameworks (TensorFlow, PyTorch) and their integration with specialised hardware platforms. What’s On Offer ~£80-120K + share options Hybrid working Guide long term roadmap And much more »

to demonstrate that you have: A PhD or similar Post-Graduate qualification in a relevant field Experience with one or more Deep Learning framework (PyTorch preferred) for Graph-based AI High proficiency in one or more programming languages (Python preferred) A track record of writing academic publications Excellent written and more »