1 to 25 of 55 Permanent PyTorch Jobs with Hybrid or WFH Options

data. Proficiency in Python, NLP libraries (NLTK, SpaCy), Hugging Face Transformers, data science libraries (Numpy, Pandas) and deep learning frameworks (TensorFlow and/or PyTorch). Experience crawling, cleaning, processing unstructured data. Understanding of CI/CD & Devops principles. Familiarity with software development best practices, version control systems (e.g., Git more »

architectures. Proficiency in Python, NLP libraries (NLTK, SpaCy), Hugging Face Transformers, data science libraries (Numpy, Pandas) and deep learning frameworks (TensorFlow and/or PyTorch). Experience crawling, cleaning, processing unstructured data. Strong background in machine learning algorithms and deep learning architectures relevant to NLP tasks. Experience with model optimisation more »

a related field. Strong background in deep learning, with hands-on experience in developing and implementing deep neural networks using frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in programming languages such as Python and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn). Solid understanding 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) > Strong IaC experience, using Terraform or CloudFormation > Data Wrangling > Systems: Linux, APIs, infrastructure design load balancing, VMs, PostgreSQL, vector dbs. Senior ML Learning Engineer desirable more »

Engineer or similar role, with a strong emphasis on engineering Proficiency in Python programming and experience with relevant libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc. Extensive experience of deploying a cloud platform (GCP, AWS or Azure) Strong proficiency in NumPy for numerical computing and data manipulation tasks. more »

learning with one or more of the following: generative models, segmentation, object detection, classification, model optimisations Experience working with machine learning frameworks such as PyTorch, TensorFlow or Keras Experienced with foundational Large Language Models (LLMs) APIs Experience in LLMs quantitative analysis Exposure to MLOps practices Familiarity with version control systems 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 »

in programme) Python Programming Language – 4-5+ years of experience in a Data Science setting Experience in AI/Machine Learning + either PyTorch/TensorFlow Experience with NumPy/Pandas Matplotlib SQL/MySQL/database experience Please note, this is a hybrid position. Candidates who cannot travel 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 »

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 »

within our dynamic setting. You're an ideal candidate if you possess experience in some of the following areas: - Implementing deep learning algorithms using PyTorch - Full-cycle ML model development, from Jupyter Notebook to deployment - Proficiency in the mathematical foundations of ML, including Linear Algebra and Statistics - Familiarity with modern more »

technologies etc.) Experience in deploying NLP pipelines to production Python experience including data science libraries (scikit-learn, pandas, NumPy) and deep learning frameworks (Tensorflow, Pytorch) Desirable Experience with virtual agent platforms such as IBM Watson or DialogFlow Team leading experience Proven experience in CI environments, unit testing, automatic testing, 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 »

in Computer Science, AI, ML, or a related field (desired). experience in AI model development and ML algorithms. programming skills in Python, TensorFlow, PyTorch or similar languages/frameworks. with AI ethics and responsible deployment. The above is a wish list and not a list of imperatives; if you more »

Vision models, particularly in the context of SLAM. Demonstrate proficiency in analyzing 3D Video and performing 3D reconstruction. Technical expertise: Python, Deep Learning frameworks (PyTorch or TensorFlow), AWS. SALARY AND BENEFITS Competitive salary range: ££90,000 to £110,000 Equity ownership in the company. Comprehensive benefits package. HOW TO APPLY more »

Key Experience: Python Programming Language – 4-5+ years of experience in a Data Science setting Experience in AI/Machine Learning + either PyTorch/TensorFlow Experience with NumPy/Pandas Matplotlib/Plotly SQL/MySQL/database experience The ability driving projects from conception to completion Excellent more »

common cloud provider (AWS, GCP, Azure) Desirable: Experience in AI-focused software development, especially with LLMs. Comfortable working with classic ML frameworks, such as Pytorch or TensorFlow What we offer: A competitive salary Full-time employment subject to a probation period. An office location in Bristol within 5-10 minutes more »

for landowners, businesses, governments, and communities.Theirmission is to tackle climate change through innovative, nature-based solutions.. Key Skills -Strong Python -ML background and within PyTorch (Computer Vision) -Some knowledge of deploying Cloud Services (AWS preference) -Understanding Code Quality and well tested approach -Git & any Linux knowledge is good to have. 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 »

field Proficiency in production-level Python (Clean, SOLID) and industry experience with Amazon Sagemaker deployment of LLMs Experience with LLM-related packages, such as PyTorch, Transformers etc. Experience with IaC (Terraform), CI/CD, and test automation best practices Bachelor's degree in Computer Science or a related field; Master more »

use and admin. Experience deploying cloud services (AWS is a bonus). Experience with Docker and Kubernetes. Using frameworks such as AirFlow. ML background - PyTorch for computer vision. This is a fully remote role which comes with: Budget for WFH set up. Stock options. 25 days annual leave. This role more »

NPUs/GPUs. Understanding of NPU (neural processing unit) hardware and software. Strong knowledge of CNN and Transformer Architecture. Experience with ML frameworks like Pytorch/Tensorflow and programming languages C++ and Python. Desired Experience Industry experience at NPU, GPU, semiconductor manufacturers. What’s on offer Competitive Salary (£120k) Hybrid more »

NPUs/GPUs. Understanding of NPU (neural processing unit) hardware and software. Strong knowledge of CNN and Transformer Architecture. Experience with ML frameworks like Pytorch/Tensorflow and programming languages C++ and Python. Desired Experience Industry experience at NPU, GPU, semiconductor manufacturers. What’s on offer Competitive Salary (£80k-120k more »