1 to 25 of 139 Permanent PyTorch Jobs in England

learning, and reinforcement learning. Proficiency in programming languages such as Python, Java, Scala or C++, and experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. Hands-on experience with data preprocessing, feature engineering, and model evaluation techniques. Strong problem-solving skills and the ability to think critically more »

Deep Learning Engineer, PyTorch, GNN, Remote, £90,000 per annum My client, a leading consultancy at the forefront of AI, is searching for a Deep learning Engineer to work on solving complex data challenges, with a particular focus on graph neural networks (GNNs). The ideal Deep Learning Engineer will … ideally have an expertise in in PyTorch and PyTorch Geometric (PyG). You will be developing GNN models and working closely with the data science team to design, test and deploy scalable deep learning models. This role will be remote so you can be anywhere in the UK. Skills:- Strong … hands-on experience with deep learning frameworks, specifically PyTorch and PyTorch Geometric (PyG). Proven track record of implementing GNNs for tasks such as link prediction, node classification, and graph generation. Experience with data prepossessing, feature engineering, and understanding of the unique Master's or PhD in Computer Science, Artificial more »

LLM's is advantageous. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Expertise in machine learning algorithms and frameworks (e.g., TensorFlow, Keras, PyTorch). Strong problem-solving skills and the ability to translate business challenges into data science solutions. Familiarity with version control systems (e.g., Git) and CI more »

fine-tuning foundation models for predictive tasks or embedding generation Strong experience writing code in Python, and with appropriate deep learning packages such as PyTorch, TensorFlow Experience developing, debugging, and applying deep learning models in the cloud using GPUs, ideally on AWS A pragmatic and entrepreneurial mindset, and be able more »

deployment, monitoring and maintenance of models in production desired Expertise in using and implementing cutting-edge machine learning algorithms, frameworks, and libraries, such as PyTorch, Keras, Tensorflow to solve clustering, classification, regression, and optimization problems on large scale data sets Hands-on experience with modern NLP methods required. Specifically: Transformers more »

focus on NLP, machine learning, and MLOps. Proficiency in Python and its libraries for data manipulation, analysis, and machine learning (e.g., scikit-learn, TensorFlow, PyTorch). Strong knowledge of AWS services, particularly AWS Sagemaker, and experience working within an AWS environment. Experience with large language models (LLMs) and their applications more »

and hierarchical algorithms) Expert in SQL and Python, DBT, and standard data science libraries and frameworks such as pandas, numpy, scikit-learn, TensorFlow/PyTorch, PySpark, etc Experience with Infrastructure-as-Code, Continuous Integration & Deployment patterns Experience with PostgreSQL, Google Cloud Platform, and BigQuery Excellent problem-solving skills and the more »

Azure OpenAI, Azure Synapse Analytics, etc., is a plus. Knowledge Graphs and LLM’s is advantageous. Machine learning algorithms and frameworks (e.g., TensorFlow, Keras, PyTorch). Version control systems (e.g., Git) and CI/CD practices. Ability to lead and mentor data science teams, driving collaboration and knowledge sharing. If more »

skills, with the ability to inspire and motivate teams. Ideally, proficiency in programming languages and tools used for AI development, such as Python, TensorFlow, PyTorch, or similar. Ideally, industry certifications or professional accreditations related to AI and project management. Ideally, knowledge of cloud computing platforms and their AI/ML more »

closely with the Head of Data. The best-matched Senior Data Scientist would have the following experiance: Tech stack: Python, scikit-learn, pandas, Tensorflow, Pytorch, SQL, AWS Experiance in Natural Language Processing Experiance with AWS Master’s or PhD in Computer Science, or a related field, with a focus on more »

Data, Science, Scientist, Analytics, Statistics, Flexible, collaboration, Python, R, SQL, Mathematics, Statistics, Statistical, Predictions, Predictive, AI, Machine Learning, Deep Learning, Modelling, Algorithms, Pandas, NumPy, PyTorch, TensorFlow, ELT, ETL, AWS, Azure, Database, Data Engineer, Engineering, Development, Pipelines, GCPJob typePermanent more »

NLTK, scikit, SpaCy > Machine Learning NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) > Strong IaC experience, using Terraform or CloudFormation > Data Wrangling > Systems: Linux, APIs, infrastructure design load balancing, VMs, PostgreSQL, vector dbs. Senior ML Learning Engineer desirable more »

NLTK, scikit, SpaCy Machine Learning – NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design – load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer – desirable skills: Version control (Git), computer vision libraries, Big more »

NLTK, scikit, SpaCy Machine Learning NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer desirable skills: Version control (Git), computer vision libraries, Big more »

NLTK, scikit, SpaCy Machine Learning – NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design – load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer – desirable skills: Version control (Git), computer vision libraries, Big more »

in natural language processing (NLP) and its applications. Solid coding level in Python programming language, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects. Previous experience in working on Spark, Hive, and SQL, Preferred qualifications, capabilities, and skills Financial service background PhD more »

a team of highly skilled professionals. Requirements : Proficiency in Python, including libraries such as numpy, pandas, and scikit-learn Experience with deep learning frameworks (PyTorch, JAX, Keras, Tensorflow) Strong theoretical understanding of machine learning and neural networks Experience with containerized processes (Docker, Kubernetes) Familiarity with cloud services and distributed computing more »

CI/CD. Has a strong opinion on their IDE/editor of choice Familiarity with modern machine learning tools, for instance TensorFlow, Keras, PyTorch or SKLearn. Commercial experience with these is not essential.Knowledge of MLOps is not essential, but some awareness of this emerging space is good to have.Experience more »

in production at scale. Deep knowledge of machine learning algorithms applied to solving business problems. Proficiency in Python and popular Data Science frameworks (e.g. pytorch, pandas, numpy etc) and MLOps platforms (e.g. Sagemaker) Solid understanding of metrics, benchmarking and evaluation methodology AI-powered user-facing products. Experience working in highly more »

in production at scale. Deep knowledge of machine learning algorithms applied to solving business problems. Proficiency in Python and popular Data Science frameworks (e.g. pytorch, pandas, numpy etc) and MLOps platforms (e.g. Sagemaker) Solid understanding of metrics, benchmarking and evaluation methodology AI-powered user-facing products. Experience working in highly more »

years working in the wireless communication and/or software defined networking space.Fluency in Python and at least one deep learning library (e.g. PyTorch, TensorFlow)Strong technical communication skills, and ability to communicate across multiple functions.A strong desire to pitch and sell our amazing technology more »

Finance, Data, Analytics, Random Forests, Decision Trees, Python, R, SQL, Mathematics, Statistics, Statistical, Predictions, Predictive, AI, Machine Learning, Deep Learning, Modelling, Algorithms, Pandas, NumPy, PyTorch, TensorFlowJob typePermanent more »

experience – NumPy, Pandas etc. Commercial experience leveraging open-source models, finetuning LLMs & RAG pipelines Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch etc.) MLOps experience Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies (Hadoop, Spark more »

insurance domain , with hands-on experience across predictive modeling, natural language processing, computer vision, and reinforcement learning. Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud platforms (e.g., AWS, Azure, GCP). Thorough comprehension of insurance business processes and regulatory frameworks, with the ability more »

methodologies and algorithms Expertise in popular data science platforms such as Alteryx and Python, including libraries and frameworks like NumPy, SciPy, Pandas, NLTK, TensorFlow, PyTorch, and Airflow Strong understanding of statistical analysis, encompassing distributions, statistical testing, regression, and other techniques Experience handling unstructured data sets Familiarity with software engineering principles more »