1 to 25 of 159 Permanent PyTorch Jobs

Analysis, Classification, Clustering) Machine learning Model Optimisation Strong proficiency in Python (NumPy, Pandas, Scikit-learn). Hands-on experience with Deep Learning frameworks: TensorFlow, PyTorch, or Keras. Experience in Natural Language Processing (NLP) and/or Computer Vision. Strong knowledge of Machine Learning algorithms and statistics. Experience with SQL/ ...

data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for analytics ...

building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep expertise in AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model evaluation ...

willingness to collaborate across teams Full right to work in the UK (no visa sponsorship available) Nice to have (not required) Deep learning exposure (PyTorch/TensorFlow) Cloud experience (AWS/GCP/Azure) Familiarity with MLOps concepts (monitoring, CI/CD, Git, Docker) Experience with NLP, time series, recommender ...

Qualifications: 7+ years of experience in Machine Learning/AI development Strong programming skills in Python (mandatory) Hands-on experience with ML frameworks: TensorFlow, PyTorch, Scikit-learn Experience with NLP, Computer Vision, or Generative AI (LLMs) Strong understanding of ML algorithms, statistics, and data modeling Experience with SQL & NoSQL databases ...

contribute to our internal library of proprietary tools and frameworks. Technical Profile Expert Programming: Mastery of Python and its ecosystem (Pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow). Experience writing production-ready, modular, and well-tested code. Advanced Modeling: Deep theoretical and practical knowledge of Machine Learning. You should ...

Skills & Qualifications:7+ years of experience in Machine Learning/AI developmentStrong programming skills in Python (mandatory)Hands-on experience with ML frameworks: TensorFlow, PyTorch, Scikit-learnExperience with NLP, Computer Vision, or Generative AI (LLMs)Strong understanding of ML algorithms, statistics, and data modelingExperience with SQL & NoSQL databasesFamiliarity with MLOps ...

Science, or related field 2+ years of experience in AI or machine learning engineering Strong programming skills in Python Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn) Solid understanding of machine learning algorithms and statistics Experience working with large datasets and data pipelines Professional working proficiency in English Nice ...

Science, AI, or a related field. Strong understanding of ML fundamentals including classification, regression, and clustering. Experience with ML frameworks and libraries such as PyTorch, TensorFlow, and Scikit-learn. Programming skills in Python; familiarity with JavaScript is advantageous. Knowledge of cloud platforms like AWS and Azure. Experience with data preprocessing ...

models, or LLM-based analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding ...

avionics, engines, hydraulics, pneumatics, environmental control, etc.).especially valuable mainly A400M, MRTT , M&L and new developments. Proficiency with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and data analytics tools (Python, SQL, MATLAB). Experience with big data architectures (e.g., Spark, Hadoop, or cloud-based analytics environments such ...

classical ML (training, inference • Experience integrating AI models into real-world applications • Proficiency in Python, and familiarity with common AI frameworks and platforms (e.g. PyTorch, LangChain etc.). • Hands-on experience with cloud platforms (Azure/AWS), containerisation (Docker), and orchestration (Kubernetes). • Good understanding of deep learning architectures, neural ...

KServe, Ray Serve, Triton, or vLLM a big plus Bonus Points: Experience with observability frameworks like Prometheus or OpenTelemetry Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP Passion for financial services Requirements: Degree in Computer Science, Engineering, Data Science or similar What We Offer A collaborative ...

predictions. Proven expertise in time-series forecasting and spatio-temporal modeling, ideally applied to weather or energy systems. Strong proficiency in Python (Pandas, NumPy, PyTorch, TensorFlow, scikit-learn, Lightning, or equivalent). Solid understanding of data engineering and ML infrastructure Experience deploying ML models to cloud-native environments (Kubernetes, Docker ...

responsible AI principles, model interpretability, and ethical considerations. Strong interpersonal skills and team working. Desirable Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage ...

experience deploying models into production environments. Key skills and experience include: Strong programming skills in Python Experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn Advanced knowledge of statistics, probability, and optimisation techniques Proven experience building, testing, tuning, and optimising machine learning models Comfortable working with large ...

with strict risk, privacy, and ethical standards, including data governance and fairness in highly regulated financial settings. Key Technologies & Tools Core ML: scikit-learn, PyTorch, TensorFlow, XGBoost, LightGBM Data Manipulation: Pandas, NumPy, LangGraph MLOps & Orchestration: MLflow, Apache Airflow Databases: Neo4j, MongoDB API Development: FastAPI Big Data (Beneficial): Apache Hadoop, Apache ...

technical stakeholders What we’re looking for Essential experience Strong grounding in statistical modelling, experimentation and inference Advanced Python skills (NumPy, pandas, scikit-learn, PyTorch or TensorFlow) Experience building, deploying and optimising ML models in production Strong AWS experience (e.g. SageMaker, Lambda or similar services) Expert SQL skills and experience ...

core data science libraries: Pandas, NumPy, and SciPy . Machine Learning: Deep, practical experience with popular ML frameworks and libraries: scikit-learn, TensorFlow, or PyTorch . Statistics & Math: Strong foundation in statistical modeling , probability, hypothesis testing, regression analysis, and multivariate calculus/linear algebra for understanding model mechanics. Databases & Querying ...

Required Skills & Qualifications: Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs). Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed Hands-on experience in Docker for Production deployment. Proven experience managing teams delivering ML/LLM models in production environments. ...

Required Skills & Qualifications: Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs). Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed Hands-on experience in Docker for Production deployment. Proven experience managing teams delivering ML/LLM models in production environments. ...

Required Skills & Qualifications: Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs). Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed Hands-on experience in Docker for Production deployment. Proven experience managing teams delivering ML/LLM models in production environments. ...

Statistics , or a related quantitative field. Scientific Python Ecosystem: Proficiency in Python for data science (pandas, numpy, scipy) and machine learning (sklearn, XGBoost, CatBoost, PyTorch). Data Engineering: Strong experience in SQL and data engineering principles (ETL/ELT), with the ability to handle large, complex datasets independently. Collaboration: Proficient ...

data science and analysis 5+ years' Python, "R" or other scripting languages 2+ years' database experience ML practice - using scikit learn, tensorflow, or pytorch and perform DEA (Data exploration Analysis), clean data, model selection, feature selection/tuning, and deployment 2+ years' experience with data visualization tools Utilize a strong ...

define project requirements and deliverables. • Document code, models, and processes thoroughly. Required Skills: • Strong proficiency in Python, including libraries such as scikit-learn, PyTorch, Pandas, and NumPy. • Deep understanding of various ML algorithms (e.g., supervised, unsupervised, CNNs, LSTM, GRU, Transformers ), model evaluation metrics, and optimization techniques. • Experience with data pipeline ...