1 to 25 of 26 PyTorch Jobs in the South East

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 »

or Java, and their associated security considerations. Previous experience with ML, LLM, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn is desirable. Experience in implementing secure coding practices, DevOps, CI/CD pipelines and familiarity with secure software development life cycle more »

or Java, and their associated security considerations. Previous experience with ML, LLM, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn is desirable. Experience in implementing secure coding practices, DevOps, CI/CD pipelines and familiarity with secure software development life cycle more »

NLP models used in this product. Key Skills: MSc or PhD level qualification or equivalent industry experience Experience in Machine Learning and its ecoysystem: PyTorch, Pandas, Numpy, Tensoflow, Keras, Sci-Kit etc. High level of NLP and LLM for text processing Python proficiency Experience leading, mentoring or supervising a team 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 »

years of relevant professional experience developing and deploying deep learning models in C++ applications. Experience working with modern deep learning frameworks and runtimes (e.g., PyTorch, TensorFlow, ONNX, TensorRT). Experience developing efficient C++ code for modern CPUs. Experience with GPGPU/CUDA programming. Hands-on experience working with software profiling more »

for Prediction, Decision Making or Planning for autonomous vehicles. Fluency in Python and working knowledge of C++. Experience with modern deep learning frameworks (e.g., PyTorch, TensorFlow) Proven record of leading and delivering projects as part of a team. Effective technical communication and leadership skills. An appreciation for the role of 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 »

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 »

technologies e.g. linux, python, bash, docker, kubernetes, jenkins Extra Kudos if you have Previous role as an MLOps engineer Use of ML frameworks e.g. pytorch, tensorflow Familiarity with MLOps platforms e.g. Kubeflow, MLFlow, Tensorflow Extended, ClearML, VertexAI, Amazon SageMaker Experience deploying ML models in production environments Benefits We provide: Competitive more »

use of generative models.Skilled in Python, with a willingness to adapt to other programming languages and tools as needed.Experienced with deep learning platforms like PyTorch, and able to quickly learn new technologies. 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 »

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 »

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 »

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 »

AI technology.Interested? Apply directly through LinkedIn, or send your CV to george@eu-recruit.comKey Words: Machine Learning/LLM/Large Language Model/PyTorch/High Performance Computing/HPC/GPU/TPU/Deepspeed/AI/OpenAI/Distributed SystemsBy applying to this role, you understand 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 »

experience or knowledge of LLVM OR GCC Advanced C++ programming skills Understanding of AI Processors is preferred Familiarity of AI frameworks such as Tensorflow, PyTorch, etc.If you’re a ML Compiler Engineer looking for an exciting new challenge within a great company, then please apply today to learn more! To more »

Job DescriptionJoin a leader in generative AI technologies, who have recently secured Series A funding to advance our work in digital avatars and human clones. Role: MLOps EngineerLocation: LondonSalary: Up to £100,000Responsibilities:Develop ML Pipelines: Build and maintain scalable more »

for Action Intent Recognition, ideally for Road Users Experience developing and training Machine Learning/Deep Learning algorithms with frameworks such as Tensorflow/Pytorch Proficiency in Python with associated data processing/machine learning toolkits (Numpy, Scipy, Tensorflow/PyTorch, Jupyter notebooks, etc) Able to collaborate closely with internal more »

Strong proficiency in developing and debugging C++ code Experience developing and training Machine Learning/Deep Learning algorithms with frameworks such as Tensorflow/Pytorch Proficiency in Python with associated data processing/machine learning toolkits (Numpy, Scipy, Tensorflow/PyTorch, Jupyter notebooks, etc) Able to collaborate closely with internal more »