1 to 25 of 166 Permanent TensorFlow Jobs in England

development, such as data quality, scalability, security, and ethics. SC Clearance/Eligibility required. Qualifications Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and more »

development, such as data quality, scalability, security, and ethics. SC Clearance/Eligibility required. Qualifications Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and more »

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 and the more »

provider (AWS, GCP, Azure) Desirable: Experience in AI-focused software development, especially with LLMs. Comfortable working with classic ML frameworks, such as Pytorch or TensorFlow What we offer: A competitive salary Full-time employment subject to a probation period. An office location in Bristol within 5-10 minutes of more »

techniques essential for machine learning projects Proficiency in programming languages commonly used in AI, such as Python, C++ and experience with ML frameworks like TensorFlow or PyTorch Experience with version control systems like Git, enabling effective collaboration and code management more »

scale natural language processing and generation models Strong proficiency in programming languages such as Python, and familiarity with popular ML/DL frameworks (e.g., TensorFlow, PyTorch) Excellent problem-solving skills and the ability to work independently as well as in a team Strong communication and presentation skills to effectively more »

manner -Must know CI/CD pipelines and Agile frameworks, preferably with the MLOps context. -Understanding or familiar with technologies such as: Scikit-Learn, TensorFlow, Torch, ChatGPT, Llama, LangChain (or equivalent), RAG, Model Security, Jupyter Notebook/JupyterLab, Unit Testing, Integration Testing, E2E Testing, ETL/ELT, Python Virtual more »

ML Models Working closely with ML Engineers A lot of scope for growth and future management! Skills And Experience Required Strong exposure to Python, TensorFlow etc. MLOps knowledge is a nice plus A proven track record leading other engineers Good knowledge of CI/CD is a huge plus more »

techniques essential for machine learning projects Proficiency in programming languages commonly used in AI, such as Python, C++ and experience with ML frameworks like TensorFlow or PyTorch Experience with version control systems like Git, enabling effective collaboration and code management more »

such as C++, Java, Scala or Python Experience with at least one of the modern distributed Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, MxNet Caffe, and Keras Experience building large-scale machine-learning infrastructure that have been successfully delivered to customers Experience defining system architectures and more »

Machine Learning Engineer (one day a week in the central London office) This role is a unique opportunity to combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this company, you'll not only be more »

in the implementation of Machine Learning and clustering techniques with commercial experience as a Data Scientist. DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and more »

or relevant certifications are advantageous.Strong programming skills in languages such as Python, R, or Java, and experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Solid understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning.Experience with data preprocessing, feature more »

or relevant certifications are advantageous.Strong programming skills in languages such as Python, R, or Java, and experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Solid understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning.Experience with data preprocessing, feature more »

Experience in designing and implementing complex AI architectures, including deep learning, reinforcement learning, and other generative AI techniques. Proficiency in AI frameworks such as TensorFlow, PyTorch, or similar. Proven track record of leading technical teams in the development of AI solutions, with strong team-building, mentoring, and coaching skills. more »

ML stack Skills and experience Familiar with the Python-based data science tech stack Python Docker & Kubernetes AWS Cloud Deep learning frameworks - Pytorch and Tensorflow HuggingFace ecosystem [optional] Other machine learning frameworks - scikit-learn, XGboost, CatBoost etc Ability to understand and develop state-of-the-art implementations Familiarity with more »

development, such as data quality, scalability, security, and ethics. SC Clearance/Eligibility required. Qualifications Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and more »

development. Proficiency in quantitative analysis, statistical modeling, time series analysis, and data visualization. Experience with quantitative libraries and frameworks such as NumPy, SciPy, pandas, TensorFlow, or PyTorch. Familiarity with financial markets, trading instruments, and market microstructure. more »

ML Models Working closely with ML Engineers A lot of scope for growth and future management! Skills And Experience Required Strong exposure to Python, TensorFlow etc. MLOps knowledge is a nice plus A proven track record leading other engineers Good knowledge of CI/CD is a huge plus more »

/Data Science or a related technical discipline 3+ years of experience in Natural Language Processing Extensive experience with modern Deep Learning (PyTorch/TensorFlow) Experience with any of the following NLP tasks - named entity recognition, intelligent document processing, website parsing & classification, sentiment analysis, information retrieval, entity matching & linking more »

Experience in ASR systems with modern End2End architecture Hands-on experience in Acoustic Modelling with different Neural Network architectures and frameworks like Pytorch and TensorFlow Experience in language model training and adaptation pipeline. Experience in lattice rescoring with RNN or LLM models Deep understanding of decoding algorithms; WFST based more »

scale natural language processing and generation models Strong proficiency in programming languages such as Python, and familiarity with popular ML/DL frameworks (e.g., TensorFlow, PyTorch) Excellent problem-solving skills and the ability to work independently as well as in a team Strong communication and presentation skills to effectively more »

This is a high-risk, high-reward position. It involves a great deal of uncertainty, but for the right candidate, there is a huge upside potential for learning and exposure. If the above excites you, keep reading - we might be more »

skills in data analysis, deep learning, and machine learning techniques. Proficiency in programming languages like Python and familiarity with machine learning frameworks (such as TensorFlow and PyTorch). Good management and leadership abilities. Strong presentation and communication skills. Experience with computational chemistry software and tools is a plus. If more »

Medoids or similar and the skills to evaluate solution suitability e.g., Silhouette Score. Confident in the skills needed to deploy deep learning, ideally through Tensorflow, including transformer architectures. Natural language processing capabilities, including skills in sentiment analysis and using and localising large language models (transformers), ideally through the Hugging more »