12 of 12 PyTorch Jobs in Central London

technical leadership across the team. What We're Looking For Strong commercial experience developing machine learning solutions using Python. Experience with frameworks such as: PyTorch TensorFlow Scikit-learn XGBoost Experience deploying ML solutions on AWS, including services such as SageMaker, Lambda, and S3. Strong understanding of MLOps tooling, including MLflow ...

relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. ...

modern software engineering practices Machine Learning/Deep Learning MLOps and production ML systems Cloud platforms and scalable infrastructure ML frameworks such as PyTorch, TensorFlow or equivalent LLMs/Generative AI is highly desirable CI/CD, Docker, Kubernetes or similar technologies Designing and operating production-scale ML platforms ...

theory We're looking for: Strong hands-on AI/ML and Data Science expertise (Python essential — NumPy, Pandas, Scikit-learn; exposure to PyTorch, TensorFlow, LangGraph or similar a plus) Proven experience delivering technical training to a mix of technical and non-technical audiences, virtually and face-to-face Experience ...

members, and influence without formal authority in an applied research setting Strong programming skills (e.g., Python) and experience with modern deep learning frameworks (e.g., PyTorch, Hugging Face Transformers, DeepSpeed) Publications at relevant venues such as ACL, EMNLP, ICLR, NeurIPS, SIGIR, or KDD Technical Qualifications Deep understanding of document understanding fundamentals ...

Expertise: Advanced proficiency in Python and C++ within a Linux/UNIX environment. Technical Stack: Extensive practical experience with leading machine learning frameworks (e.g., PyTorch , JAX , or TensorFlow ). Research Experience: A demonstrated track record of designing and implementing complex machine learning architectures to solve rigorous, data-heavy problems. Note ...

industry experience as an ML/research engineer working on large neural network training. Strong software engineering fundamentals in Python and deep expertise in PyTorch (or equivalent modern ML frameworks). Hands-on experience training large neural networks at scale, including distributed training frameworks. Demonstrable experience profiling and optimising ...

evaluation frameworks for ML models, ideally with imaging or comparable scientific image data. Strong Python data-science stack (numpy, pandas/polars, scikit-learn, PyTorch). Familiarity with terabyte-scale imaging data and standard scientific formats. Strong biological grounding and the ability to partner effectively with wet lab scientists. Bonus ...

Machine Learning and Python Commercial experience with time series modelling Knowledge of digital twins and/or surrogate modelling Deep learning experience (TensorFlow, PyTorch or similar) A passion for applying AI to complex engineering challenges This is a fantastic opportunity to join a fast-growing business where your work will ...

with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also be required. Want to join? Get in touch. Salary and total compensation is purely based on performance of your models ...

translating complex ML concepts into practical solutions Qualifications Strong Python and software engineering experience Experience operationalising ML models using Scikit-learn, TensorFlow or PyTorch Strong understanding of the machine learning lifecycle Experience with AWS, Azure or GCP Hands-on experience with Docker and Kubernetes Solid understanding of ML fundamentals, probability … with both technical and non-technical stakeholders Required Skills Strong Python and software engineering experience Experience operationalising ML models using Scikit-learn, TensorFlow or PyTorch Strong understanding of the machine learning lifecycle Experience with AWS, Azure or GCP Hands-on experience with Docker and Kubernetes Solid understanding of ML fundamentals ...

Strong problem-solving skills with the ability to work independently and collaboratively. Clear written and verbal communication skills. Familiarity with deep learning frameworks (TensorFlow, PyTorch, JAX) advantageous. Experience with optimisation, reinforcement learning, or LLMs a plus. Exposure to chip design or applied AI research desirable. Keywords: Research Engineer/Machine … Learning/AI/LLMs/Reinforcement Learning/Generative Models/Deep Learning/PyTorch/TensorFlow/JAX/Python/C++/Semiconductor/Chip Design/Optimisation/London/Cambourne/UK/Permanent If you are interested in this Research Engineer position, please send ...