1 to 25 of 27 PyTorch Jobs in the South East

LLM's is advantageous. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Expertise in machine learning algorithms and frameworks (e.g., TensorFlow, Keras, PyTorch). Strong problem-solving skills and the ability to translate business challenges into data science solutions. Familiarity with version control systems (e.g., Git) and CI more »

Azure OpenAI, Azure Synapse Analytics, etc., is a plus. Knowledge Graphs and LLM’s is advantageous. Machine learning algorithms and frameworks (e.g., TensorFlow, Keras, PyTorch). Version control systems (e.g., Git) and CI/CD practices. Ability to lead and mentor data science teams, driving collaboration and knowledge sharing. If more »

NLTK, scikit, SpaCy Machine Learning NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer desirable skills: Version control (Git), computer vision libraries, Big more »

NLTK, scikit, SpaCy Machine Learning – NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design – load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer – desirable skills: Version control (Git), computer vision libraries, Big more »

Design Patterns) ? Experience mentoring or advocating best practice to team members. Technologies We Use : Python (including Data Science libraries such as NumPy, Pandas, Matplotlib, PyTorch), AzureML, QGIS. Our wider team also uses Esri ArcPro and geoprocessing tools, FME, Bicep, Azure Batch, Azure Pipelines, YAML, SQL. Remember, you don't need more »

Computer Science, Mathematics or similar At least 3 years of industry experience working on deep learning models applied to embedded systems C++ programming TensorFlow, PyTorch Desired experience Java, Kotlin What’s on offer Competitive base Excellent bonus scheme 25+ days holiday Hybrid working And much more Interested? This is an more »

or machine learning (beneficial) Strong programming skills in Python; proficiency in C++ is a plus Experience with machine learning frameworks such as TensorFlow or PyTorch Solid understanding of computer vision principles and techniques, including object detection, depth estimation, image segmentation, etc Hands-on experience with developing computer vision algorithms and more »

in Computer Science/Engineering, or related disciplines Professional software development experience with C++ and Python Experience developing with machine learning frameworks – Tensorflow/Pytorch Expertise in image-based 3D reconstruction: Photogrammetry, Neural Radiance Fields (NERF) or Gaussian Splatting techniques. Programming proficiency one or more of programming language and APIs more »

working on full-cycle model development for AI hardware processors Experience in benchmarking and performance analysis of machine learning models on specialised hardware platforms PyTorch, TensorFlow Python, C/C++, Desired experience HDL What’s on offer? £60-90k, share options and a growing benefit package Hybrid working (preferably more »

working on full-cycle model development for AI hardware processors Experience in benchmarking and performance analysis of machine learning models on specialized hardware platforms PyTorch, TensorFlow Python, C/C++, Desired experience HDL What’s on offer? £60-90k, share options and a growing benefit package Hybrid working (preferably more »

with our 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++. Demonstrated capability in leading and overseeing a team of developers. Bachelor's or Master's degree 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 »

architect, in the domain of specialized hardware platforms and preferably for AI processors Deep understanding of AI model architectures, algorithms, and frameworks (e.g., TensorFlow, PyTorch) and their integration with specialized hardware platforms Experience with tools and libraries for AI model quantization, compression, and optimization to maximize performance on specialized hardware more »

with data science and algorithms teams to build machine learning pipelines and infrastructure. Work on the low-level internals of popular machine learning frameworks (Pytorch, Tensorflow, Jax) to adapt them to the requirements of algorithms teams. Take responsibility for end-to-end design of APIs, data structures, processing pipelines and more »

including modern software development practices, covering Continuous Integration and Continuous Delivery (CI/CD), Test-Driven Development (TDD), SDLC, etc. Developing machine learning models (PyTorch or TensorFlow) Working with Large Language Models (e.g GPT, PaLM, Llama) Strong background in either Python/Typescript Familiarity with Retrieval Based Augmentation concepts Experience more »

software development practices, covering Continuous Integration and Continuous Delivery (CI/CD), Test-Driven Development (TDD), SDLC, etc. Basic development of machine learning models ( PyTorch or TensorFlow ) Working with Large Language Models ( e.g GPT, PaLM, Llama ) Strong background in either Python/Typescript Familiarity with Retrieval Based Augmentation concepts Experience more »

C#, or Java, and adeptness with cloud SDKs and APIs. Deep understanding of AI/ML to enhance pipeline efficiency, with experience in TensorFlow, PyTorch, AutoML, Python/R, and MLOps platforms like MLflow and Kubeflow. Solid background in DevOps , including CI/CD automation with Bitbucket Pipelines, Azure DevOps more »

ML development lifecycle, taking systems from research prototypes through to development and production within a standalone application. Experience with Python and ML toolkits, e.g. PyTorch, Lightning, etc. Desirable Skills Experience, aptitude, and a desire to work with human motion capture, sport, animation tools and techniques. Relevant conference, journal, or other 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 specialized hardware platforms. What’s On Offer ~£80-120K + share options Hybrid working Guide long term roadmap And much 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 »

years' experience with cloud platforms such as Azure, with a focus on AI services Scripting languages such as PowerShell or Python TensorFlow or PyTorch understanding Solid foundation in Data Engineering, including understanding of databases, data retrieval via query languages like SQL or Kusto, and experience with data management, data visualisation 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 »

be a successful, the ideal Python Machine Learning Engineer candidate will have: Strong background in Python of Machine Learning or AI Strong knowledge of PyTorch, Hugging Face, TensorFlow Experience of MLOps would be a benefit Experience of working in a small but growing team. What is in it for you more »

software co-design. Past experience working on performance architecture of GPUs/AI Accelerators is required, with experience with deep learning frameworks (such as PyTorch, Tensorflow). Our client is open to considering candidates at various levels of experience, provided they have the right background. Visa sponsorship can also be more »

UK. To be a successful, the ideal Python Engineer candidate will have: · Strong background in Python of Machine Learning or AI · Strong knowledge of PyTorch, Hugging Face, TensorFlow · Experience of MLOps would be a benefit · Experience of working in a small but growing team. What is in it for you more »