301 to 325 of 716 Remote PyTorch Jobs

a high-growth environment, while maintaining high standards of quality and attention to detail. Bonus: Existing interest in standard machine learning and deep-learning packages (e.g., scikit-learn, Keras, PyTorch). Exposure to commercial engineering tools or optimisation packages (e.g., Dassault Systèmes, Siemens, ANSYS, Aspen), open-source optimisation tools used in industry and academia. What we do We are building More ❯

offices and time zones. Proficient in financial analysis, modelling, and statistics, with experience extracting insights from heterogeneous multi-dimensional datasets. Ability to apply machine learning techniques (e.g., scikit-learn, PyTorch, TensorFlow) and present complex data visually using Matplotlib, seaborn, or Streamlit. Fluent in Python, with experience working with data processing libraries such as Pandas. Strong SQL skills, a good understanding More ❯

Causal inference, Intervention analysis, Counterfactuals Estimation, Optimization and Scenarios simulation Good experience with Probabilistic Programming and Bayesian Methods Experience using machine learning frameworks such as scikit-learn, Pymc, TensorFlow, PyTorch, Databricks ML, Keras etc..., Experience with ML at scale Proven attention to detail, critical thinking, and the ability to work both independently and collaboratively within a cross-functional team Good More ❯

understanding of software testing, benchmarking, and continuous integration Exposure to machine learning methodology and best practices Preferred but not must have: Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.) Education & Experience: 2–5 years experience building production-quality software. Bachelors or Masters degree and/or equivalent professional experience About Pandora Established in , Pandora designs, manufactures More ❯

long term. Proficiency using Natural Language Processing techniques for solving problems, ideally including Large Language Models Proficiency in Python, particularly with machine learning and data science libraries such as PyTorch, scikit-learn, numpy and scipy Good communication and interpersonal skills Experience working with large-scale data processing systems such as Spark and Hadoop Experience in software development in agile environments More ❯

knowledge of data quality standards and annotation processes, with the ability to independently evaluate and improve models Proficiency in Python and familiarity with relevant ML frameworks and libraries (e.g., PyTorch) Experience with cloud services such as AWS, GCP, or Azure Excellent verbal and written communication skills, with the ability to convey complex technical concepts to diverse audiences A passion for More ❯

years of experience in a data-driven role, with exposure to: building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; developing models for bespoke problem settings that involve high-dimensional data (spatiotemporal, geometric, physical); iterating on network architectures and model structure, tuning and optimising for More ❯

Engineering, or related technical field 2+ years of experience in AI/ML development with a focus on practical applications Strong proficiency in Python and relevant AI libraries (TensorFlow, PyTorch, Hugging Face) Hands-on experience with workflow automation platforms like N8N, AirTable, and proven track-record. Experience with AI agent development and testing methodologies using Google ADK, LangGraph, Llamaindex Understanding More ❯

testing, and continuous delivery pipelines Networking and security protocols, load balancers, API Gateways ETL tooling and workflow engines (e.g., Spark, Airflow, Dagster, Flyte) Accelerated compute libraries and hardware (e.g. pytorch, NVIDIA GPUs) Data modeling, and strategies for cleaning and validating data at scale Performance tuning on RDBMS or Big Data tools for row- and column-oriented use-cases Telemetry and More ❯

strategies. Experience in programming languages such as Python or Java. Understanding of cloud platforms (Google Cloud, AWS, Vertex AI, Sagemaker). Bonus points! Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Experience with data analysis or data science The experience, skills, and attributes listed above reflect what we believe will contribute to success in this role. If you More ❯

4+ years managing technical teams (ML engineers, data scientists, or similar) Expert knowledge of ML fundamentals: supervised/unsupervised learning, time series, causal inference Experience with modern ML frameworks (PyTorch, TensorFlow, scikit-learn, CatBoost) Growth & Product Experience Experience with growth analytics, attribution modeling, or marketing effectiveness Understanding of user acquisition funnels and retention optimization Comfortable translating business requirements into technical More ❯

Senior Applied Scientist - Computer Vision Senior Applied Scientist - Computer Vision Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Entrust Senior Tech Talent Partner - Hiring Top Engineering Minds to Drive Innovation at More ❯

Social network you want to login/join with: Machine Learning Engineer, portsmouth, hampshire col-narrow-left Client: X4 Technology Location: portsmouth, hampshire, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 7 Posted More ❯

Social network you want to login/join with: col-narrow-left Client: X4 Technology Location: Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 7 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Job More ❯

Join to apply for the Full Stack Developer - Hybrid Derby role at Oliver James 1 week ago Be among the first 25 applicants Join to apply for the Full Stack Developer - Hybrid Derby role at Oliver James Get AI-powered More ❯

Social network you want to login/join with: Machine Learning Engineer, preston, lancashire col-narrow-left Client: X4 Technology Location: preston, lancashire, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 16 Posted More ❯

Social network you want to login/join with: Machine Learning Engineer, swindon, wiltshire col-narrow-left Client: X4 Technology Location: swindon, wiltshire, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 7 Posted More ❯

Social network you want to login/join with: Machine Learning Engineer, bolton, greater manchester col-narrow-left Client: X4 Technology Location: bolton, greater manchester, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views More ❯

Job Title: Machine Learning Engineer Location : Fully Remote UK Job Type: 6 Month Contract + chance for extension Interview Process : Video Interviews held remotely Rate: DOE Outside IR35 A Private Equity firm are seeking a Machine Learning Engineer to join More ❯

Machine Learning Engineer | Omics | RNA | DNA | PyTorch | Hybrid, London While gene-editing is becoming increasingly efficient, identifying which genes to edit and how remains a significant challenge. To overcome this bottleneck, we use cutting-edge deep learning to accurately and efficiently identify high-value genetic targets for gene-editing. Our approach draws inspiration from recent advancements in the drug discovery … transformers, diffusers) from scratch and applying them to real biological datasets. Experience working with large-scale transcriptomic datasets, ideally from non-human organisms (though not required). Experience with PyTorch, huggingface transformers, and diffusers. Experience working with ML accelerators. Nice-to-have Relevant publications in reputable journals or contributions to open-source projects. Exposure to and interest in probabilistic ML More ❯

DSP techniques to clean, segment, and filter speech data. Manage large-scale cloud data storage with a deep understanding of cost-performance tradeoffs. Build scalable ML training pipelines in PyTorch using large datasets. Contribute to research and development of generative voice and speech-to-speech models. Prototype and implement novel ML/statistical approaches to enhance product capabilities. Develop robust … Deep Generative Models, TTS, ASR, NLU), or equivalent industry experience. Deep expertise in voice conversion, generative models, deep learning, or statistical modeling. Strong hands-on experience with ML frameworks (PyTorch, TensorFlow, Keras). Proficiency in Python and C/C++. Experience with scalable data tools (e.g., PySpark, Kubernetes, Databricks, Apache Arrow). Proven ability to manage GPU-intensive data processing More ❯

DSP techniques to clean, segment, and filter speech data. Manage large-scale cloud data storage with a deep understanding of cost-performance tradeoffs. Build scalable ML training pipelines in PyTorch using large datasets. Contribute to research and development of generative voice and speech-to-speech models. Prototype and implement novel ML/statistical approaches to enhance product capabilities. Develop robust … Deep Generative Models, TTS, ASR, NLU), or equivalent industry experience. Deep expertise in voice conversion, generative models, deep learning, or statistical modeling. Strong hands-on experience with ML frameworks (PyTorch, TensorFlow, Keras). Proficiency in Python and C/C++. Experience with scalable data tools (e.g., PySpark, Kubernetes, Databricks, Apache Arrow). Proven ability to manage GPU-intensive data processing More ❯

of neural networks, optimizing software and hardware, developing innovative solutions, and collaborating with teams to build high-performance AI systems. Responsibilities : Your responsibilities involve working with major ML frameworks (PyTorch, TensorFlow, etc.) to port and develop ML networks, optimize and quantize models for efficient execution on Arm platforms, and help ensure multiple Arm products are designed to perform effectively for … both IP and system architecture. Required Skills and Experience : • A background in computer science, software engineering or other comparable skills • Experience training and debugging neural networks with TensorFlow and PyTorch using Python • Understanding, deploying, and optimizing Large Language Models (LLMs) and Generative AI algorithms. • Experience using software development platforms and continuous integration systems • Familiarity with Linux and cloud services • Have … to ensure use cases you investigate are well understood and the critical areas needing improvement are understood Nice To Have Skills and Experience : • Experience of the inner workings of Pytorch, Tensorflow, Executorch and Tensorflow Lite • Experience of developing and maintaining CI/testing components to improve automation of model analysis • Good knowledge of Python for working with ML frameworks • Good More ❯

DSP techniques to clean, segment, and filter speech data. Manage large-scale cloud data storage with a deep understanding of cost-performance tradeoffs. Build scalable ML training pipelines in PyTorch using large datasets. Contribute to research and development of generative voice and speech-to-speech models. Prototype and implement novel ML/statistical approaches to enhance product capabilities. Develop robust … Deep Generative Models, TTS, ASR, NLU), or equivalent industry experience. Deep expertise in voice conversion, generative models, deep learning, or statistical modeling. Strong hands-on experience with ML frameworks (PyTorch, TensorFlow, Keras). Proficiency in Python and C/C++. Experience with scalable data tools (e.g., PySpark, Kubernetes, Databricks, Apache Arrow). Proven ability to manage GPU-intensive data processing More ❯

Product organization, you will work with product managers and engineers to explore product innovations arising from emerging technologies and new customer use cases. Technology You'll Use Python, pandas, PyTorch, Databricks, Snowflake, AWS Bedrock, SageMaker, Azure ML, Google Vertex AI Your Role Responsibilities Research and develop expertise in product innovation areas including unstructured data management, AI governance, and protected cross … to find the best fit for use cases. Effective technical communication skills to advocate solutions and explain them clearly to non-experts. Proficiency in Python, including libraries like pandas, PyTorch, matplotlib, and Seaborn, with experience in data science and engineering. Experience with cloud service technologies and enterprise tools such as Databricks, Snowflake, AWS Bedrock, SageMaker, Azure ML, and Google Vertex More ❯