51 to 75 of 156 Remote PyTorch Jobs

Practical experience in implementing ML systems using languages like Python or Scala and are familiar with relevant ML libraries and frameworks (e.g., TensorFlow or PyTorch). Solid understanding of various machine learning algorithms (e.g., classification, regression, clustering) and their practical applications. Proficient in data manipulation and analysis using tools like More ❯

one ML framework: TensorFlow, Pytorch. Ability to work in a secure environment is essential. Desirable: Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j) Security Clearance Only those with the permanent and unrestricted right to live and work in the UK More ❯

project including ETL mappings, code use guide, code location and access instructions. Required Skills Extract, Transform and Load (ETL) tools and processes Python, Pyspark, Pytorch AWS SQL APIs Linux Geospatial tools/data Desired Skills (Optional) Knowledge of agile methodologies/experience delivering on agile teams (Participates in scrum and More ❯

project including ETL mappings, code use guide, code location and access instructions. Required Skills Extract, Transform and Load (ETL) tools and processes Python, Pyspark, Pytorch AWS SQL APIs Linux Geospatial tools/data Desired Skills (Optional) Knowledge of agile methodologies/experience delivering on agile teams (Participates in scrum and More ❯

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 More ❯

development. • Strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems. • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). • Proficiency in Python, R, or other relevant programming languages. • Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau). • Ability to work More ❯

e.g., RDBMS, Spark, Presto, or BigQuery). Experience with machine learning, optimization, and data manipulation tools (e.g., scikit-learn, XGBoost, cvxpy, Pandas, Spark, or PyTorch). Experience with at least one low-level or scientific language (e.g., C, Rust, Go, Julia, or R). Experience with accelerated compute (GPU, TPU More ❯

with strong ML skills Experience in AI and ML algorithms Experience working with experimental data sets, data mining, and machine learning tools such as PyTorch and TensorFlow Understanding of biopharmaceuticals process and related unit operations. Experience using Git for version control Familiarity with DevOps and software best practices (i.e., version More ❯

Gen AI LLM models (e.g., GPT-4o, LLaMa, Mixtral), SLMs with Phi/Gamma/Triplex, and frameworks (e.g., LangChain, LlamaIndex, LangGraph, Semantic Kernel, PyTorch, and long-term memory with Mem0 or similar). Solution Design: Proven experience in designing and implementing end-to-end AI solutions using Python, PyTorch More ❯

with emerging AI trends and technologies Skills Needed 3+ years of experience in AI and machine learning development Strong knowledge of AI frameworks (TensorFlow, PyTorch, Keras) Experience with NLP and computer vision models Strong understanding of machine learning algorithms and statistical modeling Experience with cloud-based AI platforms (AWS SageMaker More ❯

5+ years of experience in AI development Strong understanding of AI principles, machine learning algorithms, and natural language processing Experience with Python, TensorFlow, and PyTorch Excellent communication and teamwork skills Fluent in English More ❯

experience Experience with traditional ML models and feature engineering. Experience with LLMs. Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers, Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. For More ❯

5+ years of experience in AI development Strong understanding of AI principles, machine learning algorithms, and natural language processing Experience with Python, TensorFlow, and PyTorch Excellent communication and teamwork skills Fluent in English More ❯

computer vision challenges Knowledgeable about key architectures like Vision Transformers, DeepLabv3, and SegFormer Proficient in Python and ML tools, including Scikit-Learn, NumPy, Pandas, PyTorch, TensorFlow, or Keras Capable of applying machine learning to solve real-world problems Please apply via the link for immediate consideration More ❯

problem-solving approach and a passion for getting things done. Bonus Points For: ✨ Specialisation in NLP, speech processing, or dialogue systems. ✨ Experience with TensorFlow, PyTorch, or similar frameworks. ✨ Background in question-answering or speech systems. 🎯 Ready to Shape the Future of AI in Mental Health? This role is ideal for More ❯

problem-solving approach and a passion for getting things done. Bonus Points For: ✨ Specialisation in NLP, speech processing, or dialogue systems. ✨ Experience with TensorFlow, PyTorch, or similar frameworks. ✨ Background in question-answering or speech systems. 🎯 Ready to Shape the Future of AI in Mental Health? This role is ideal for More ❯

problem-solving approach and a passion for getting things done. Bonus Points For: ✨ Specialisation in NLP, speech processing, or dialogue systems. ✨ Experience with TensorFlow, PyTorch, or similar frameworks. ✨ Background in question-answering or speech systems. 🎯 Ready to Shape the Future of AI in Mental Health? This role is ideal for More ❯

machine learning roles. Strong knowledge of behaviour biometrics or sensor-based or time series data Solid Python skills (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch). Experience with time-series data or sensor-based or behavioural biometric data, and sequential modelling (e.g., LSTMs, Transformers). Comfortable working with SQL and More ❯

a STEM subject, preferably from a Russell Group University. Strong mathematical and statistical background; expertise in Python and R, including libraries like Numpy, Pandas, Pytorch and Scikit-learn. Demonstrable experience in data science and a proven track record in developing predictive models. Experience contributing to a software project/product. More ❯

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 More ❯

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 More ❯

or semi-autonomous systems is highly desirable. Strong programming skills in Python, C++, or ROS (Robot Operating System). Knowledge of AI frameworks (TensorFlow, PyTorch, OpenCV, etc.). Knowledge of industrial communication protocols (e.g., OPC-UA, Modbus, Ethernet/IP). Experience with industrial controls systems (Rockwell PLCs) and Safety More ❯

ML, VAE, GenAI frameworks and large-scale data modelling. • Proficiency in Python, R, or similar programming languages. • Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. • Strong knowledge of advanced statistical techniques and modern deep learning methods. • Expertise in pipeline workflow management tools like Nextflow or Snakemake. • Excellent More ❯

Spark or Dask. Strong in Python, Scala, C# or Java, cloud SDKs and APIs. AI/ML expertise for pipeline efficiency, familiar with TensorFlow, PyTorch, AutoML, Python/R, and MLOps (MLflow, Kubeflow). Solid in DevOps, CI/CD automation with Bitbucket Pipelines, Azure DevOps, GitHub. Automate deployment of More ❯

capabilities to some of the biggest names in the insurance industry. We are developing a modern real-time ML platform using technologies like Python, PyTorch, Ray, k8s (helm + flux), Terraform, Postgres and Flink on AWS. We are very big fans of Infrastructure-as-Code and enjoy Agile practices. As More ❯