176 to 200 of 549 PyTorch Jobs in England

systems into production, including serving, monitoring, and retraining Experience leading or mentoring engineering squads Hands‐on experience building and training deep learning models in PyTorch Familiarity with MLOps tooling such as MLflow and CI/CD workflows Experience with AWS, Azure, or GCP Experience with sequence models (e.g. transformers, RNNs ...

systems into production, including serving, monitoring, and retraining Experience leading or mentoring engineering squads Hands‐on experience building and training deep learning models in PyTorch Familiarity with MLOps tooling such as MLflow and CI/CD workflows Experience with AWS, Azure, or GCP Experience with sequence models (e.g. transformers, RNNs ...

Mathematics, Physics, Engineering, or a closely related quantitative field. Programming expertise in Python, including experience with relevant data science libraries (e.g., NumPy, Pandas, TensorFlow, Pytorch). Understanding of statistical modelling and machine learning algorithms Excellent analytical, problem-solving, and communication skills. Demonstrated curiosity, ownership, and a willingness to work ...

engineering, with strong proficiency in C#, Node.JS, Databases (SQL, NoSQL) and 2+ years of experience working with AI/ML technologies, frameworks (e.g., TensorFlow, PyTorch), and developing machine learning models with Python. Strong problem-solving skills and the ability to break down complex challenges into manageable, actionable tasks. An interest ...

experience working with large-scale relational and cloud-based databases (e.g., Snowflake,BigQuery). Experience with machine learning frameworks (e.g., scikit-learn,XGBoost, TensorFlow,PyTorch). Ability to work autonomouslyand comfortable with ambiguity. Experience in the healthcare field, preferably in generic pharmaceuticals (pricing,sourcingor distribution) preferred, though notrequired. Education/ ...

machine learning, computer science, computational chemistry, physics, or a related computational STEM field, or equivalent industry experience demonstrating comparable depth Strong Python and PyTorch skills, including implementing, training, debugging and evaluating deep learning models end-to-end Demonstrated experience training large-scale transformer models Demonstrated experience in one or more ...

Experience with one or more machine learning or deep learning approaches such as Long Short-Term Memory networks, Convolutional Neural Networks, and frameworks including PyTorch Practical programming experience in Python and familiarity with scientific computing environments; experience with R, C/C++, Fortran, CUDA, or Bash is preferred Ability ...

fundamentals (classification, regression, clustering, ranking, NLP, or LLMs).• Data & ML Ecosystem: Familiarity with data processing libraries (e.g. Pandas, NumPy) and ML frameworks (e.g. PyTorch, Scikit-learn or XGBoost).• Growth Mindset: A genuine interest in distributed system and software design, concurrent algorithms, data structures, and software engineering.At Quantcast ...

relevant experience in fintech and other industries will also be taken into account). Practical software development and machine learning experience (e.g. python, tensorflow, pytorch). Familiarity with SQL and large-scale data processing technologies such as Hadoop, Hive, Impala, Scala, Spark etc. Technology leadership experience from defining market driven ...

fast-paced "agile" team, preferably using "scrum" In addition, some ‘nice to haves’ are: Experience with UI/UX design principles. Experience with PyTorch or other deep-learning libraries. An understanding of Bayesian statistics. Location: This role is on-site at our Exeter or Bristol office. As an ambitious, rapidly ...

Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Experience with PyTorch deep learning frameworks or equivalent frameworks Hands‐on experience with model quantization including both Quantization‐Aware Training (QAT) and Post‐Training Quantization (PTQ). Research ...

leakage, bias and overfitting in messy real-world data. Strong ML fundamentals across classical ML and deep learning (pandas, scikit-learn, XGBoost or LightGBM, PyTorch), and the judgement to tell when a language model is the wrong tool. A deep understanding of how modern models are built, not only ...

specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state ...

related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience with deep learning frameworks (PyTorch preferred) Familiarity with large-scale machine learning, particularly in the context of language models Ability to balance research goals with practical engineering constraints Strong problem ...

rigour behind a result (data quality, evaluation methodology) as the result itself. Our technology stack You’ll be working with: ML frameworks: TensorFlow, PyTorch, Pandas, NumPy Python/Linux environment MLOps tooling such as MLflow Jupyter Notebooks Relational and non‐relational databases: AWS Redshift, PostgreSQL, vector databases Apache Airflow ...

What we’re looking for 5+ years in ML/AI engineering with models shipped to production. Strong Python and the modern ML stack (PyTorch, scikit-learn, etc.). Hands‐on experience with LLMs, embeddings, and retrieval‐augmented generation. Able to balance research curiosity with practical, shippable outcomes. Creative, experimental ...

What we’re looking for 5+ years in ML/AI engineering with models shipped to production. Strong Python and the modern ML stack (PyTorch, scikit-learn, etc.). Hands‐on experience with LLMs, embeddings, and retrieval‐augmented generation. Able to balance research curiosity with practical, shippable outcomes. Creative, experimental ...

APIs, third-party libraries, and scalable data pipelines. Desirables: Direct experience with FFmpeg or GStreamer. Familiarity with GPU-accelerated video/AI tech (CUDA, PyTorch, TensorRT, DeepStream). Experience with multimodal AI (VLMs, LLM APIs, Retrieval-Augmented Generation). Cloud and containerization skills (AWS, Docker). If this looks ...

transaction history What You Bring 3+ years hands-on experience with machine learning and AI development Strong Python skills with ML frameworks (TensorFlow, PyTorch, scikit-learn) Experience with computer vision or image recognition systems Practical knowledge of recommendation systems or matching algorithms Understanding of time series forecasting and predictive analytics ...

work Data and ML pipelines built for production, not demos Dashboards and tools that non-technical users can act on Python (Pandas, scikit-learn, PyTorch/TensorFlow), Spark and AWS Why it's worth a look Real operational deployment, not endless proofs of concept Direct contact with the people using ...

requirements. Qualifications Proven experience developing and deploying AI/ML models, particularly for scientific or engineering applications. Strong proficiency in Python with the PyTorch framework. Understanding of computational geometry principles and familiarity with mesh generation algorithms. Experience with statistical analysis and anomaly detection techniques for large scientific datasets. Strong software ...

look for Strong expertise in machine learning and computer vision techniques Proficiency in programming languages such as Python and frameworks like TensorFlow or PyTorch Experience with designing, training, and deploying deep learning models for image and video analysis Solid understanding of algorithms, data structures, and software engineering best practices Ability ...

ethics, including fairness, transparency, accountability, and responsible use of data and algorithms Familiarity with Python and introductory experience using machine learning frameworks such as PyTorch or TensorFlow , alongside basic data analysis tools like NumPy and Pandas , with exposure to version control using Git and collaborative platforms such as GitHub ...

following: Python, R, or Julia. Hands-on experience using data science and machine learning libraries such as Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch, Keras, or equivalent. Experience working with Next Generation Sequencing (NGS), OMICS datasets, or other large-scale biological data. Knowledge of variant calling, exome sequencing, whole genome sequencing ...

Experience optimising dataframe code, e.g. in Pandas or ideally Polars Experience of machine learning techniques and related libraries and frameworks e.g. scikit-learn, Pytorch, Tensorflow etc Experience in scientific computing with other languages & frameworks Participation in the uncapped company bonus scheme, typically 15-25% of salary depending on experience ...