1 to 25 of 65 PyTorch Jobs with Hybrid or WFH Options

on experience with SQL and PySpark for data processing and analysis. Proficiency in Python frameworks and libraries for scientific computing (e.g. Numpy, Pandas, SciPy, Pytorch, Pyarrow). Strong understanding of AWS services and experience in deploying data solutions on cloud platforms. Experience working with healthcare data, including but not limited 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 »

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 »

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 »

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 »

experience developing AI-based products Experience of developing using Computer Vision 3+ years of experience implementing and/or architecting MLOps solutions Python (NumPy, PyTorch, Pandas, etc.), Demonstrable leadership experience in managing a team of 4+ individuals Experience of working within a start-up would be beneficial but not an more »

/CUDA/OpenCL/Microarchitecture/Micro-architecture/Micro Architecture/Git/Jira/Machine Learning/ML/Tensorflow/Pytorch/C/C++/NPU/CPU/GPU/VPU If you are interested in this Senior Compute Library Engineer position, please send more »

Learning and Artificial Intelligence including ML and AI techniques to develop predictive models and enhance algorithmic strategies. Familiarity with libraries and frameworks like TensorFlow, PyTorch, or Scikit-Learn can be particularly useful. Knowledge of risk management software and tools to monitor, measure, and manage the various types of financial risks 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 »

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 »

designing and deploying ML models in production Able to work with ML for computer vision Experience writing high-quality Python code and knowledge of PyTorch Awareness of software engineering and coding best practices Passion for scalable and reliable ML systems This company are backed by some of the most well more »

Data Science & ML Consultant Location: London – Hybrid Employment: Full Time All applicants must hold a DV (Developed Vetting) clearance to apply. The Opportunity: For the Ministry of Defence (MOD), maintaining national security is a 24-hour-a-day, 365-day more »

Azure Engineer | UK Remote | 18 Month PAYE Contract Experis have partnered with a Global Tech client to recruit Azure Engineers throughout the UK. This is an 18 month contract and candidates can be considered from any location in the UK 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 »

and applying it in a work environment An understanding of or a high level knowledge of DNA, cells, genomes or bacteria Experience working with PyTorch or similar deep learning frameworks Strong communication skills to effectively liaise across diverse technical levels. What you’ll get in return for your experience The more »

Document methodologies, experiments, and results to ensure transparency and facilitate knowledge sharing. What you’ll need to bring experience of: Python Machine Learning Libraries (PyTorch, TensorFlow) NumPy/Pandas Matplotlib SQL database This role is hybrid in Manchester 1-2 days onsite per week, please consider this if you’re more »

Document methodologies, experiments, and results to ensure transparency and facilitate knowledge sharing. What you’ll need to bring experience of: Python Machine Learning Libraries (PyTorch, TensorFlow) NumPy/Pandas Matplotlib SQL database This role is hybrid in Manchester 1-2 days onsite per week, please consider this if you’re 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 »

Kernel Developer? Extensive experience in kernel development projects for GPUs Involvement in OpenCL, CUDA or similar parallel programming languages Understanding of ML frameworks - TensorFlow, PyTorch etc Strong C++ development skills Ability to work independently in a fast-paced environment If you are a CUDA Kernel Developer looking for a new more »

Role: Data Scientist (DV Cleared) Salary: £60,000 - £85,000 Location: Cheltenham (Hybrid) - Onsite 1 day per week. Do you want to be at the heart of some of the biggest and most ambitious programmes undertaken to keep our country more »

We are currently recruiting for one of our trusted clients who are look for a Data Engineer. Join our client, a leading player in the pet health services and insurance industry, as they aim to secure the coveted position of 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 »

data science, e.g., SQL, R and Python alongside the ability to use tools and packages such as Alteryx, Jupyter notebook, R Markdown, TensorFlow, Keras, Pytorch, Apache Spark etc. oPractical proficiency in producing reproducible code and pipelines including documentation, governance and assurance frameworks, automation and code review using tools such as more »