1 to 25 of 28 TensorFlow Jobs in the South East

Graphs and 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. more »

Mlflow, Promptflow, 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 more »

pandas, 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 more »

pandas, 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 more »

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 »

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 »

the 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 more »

in 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 more »

Scala, 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 more »

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 with more »

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 with more »

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 »

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 »

SW 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 more »

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 »

and Continuous Delivery (CI/CD), Test-Driven Development (TDD), SDLC , etc. Familiarity working within an agile team. Developing machine learning models ( Python or TensorFlow ) Familiarity with natural language processing or AI technologies ( e.g LLMs such as ChatGPT or BARD , Embeddings , Prompt Engineering ) Experience with data pipelines and preferably more »

computing 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 more »

continuously improving our software development practices using CI/CD techniques. We'd love to see: Proficiency in developing ML models with Python or TensorFlow Familiarity with NLP and AI technologies, including LLMs Experience building robust data pipelines Experienced with DevOps practices, including CI/CD, TDD, SDLC Cloud more »

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? As a more »

maintenance tasks. What we'd love to see: A minimum of 4 years' industry experience Proficiency in developing machine learning models with Python or TensorFlow, particularly in NLP and AI technologies LLMs Experience with building robust pipelines Strong background in DevOps practices, including CI/CD, TDD, and SDLC more »

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? As a more »

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 »

Extensive 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 »

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 more »

art techniques 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 more »