301 to 325 of 352 TensorFlow Jobs in London

LLMs) on distributed training infrastructures. Familiarity with evaluating and improving the generalisability and robustness of ML systems. Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX). Excellent communication skills to collaborate effectively with cross-functional teams and present findings. One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats More ❯

work without direct management responsibilities. Experience mentoring and coaching colleagues, offering guidance on both technical and professional development. Experience with Python and common ML Frameworks like Pytorch, HF Transformers, Tensorflow, JAX. Track record working as an independent contributor capable of end-to-end development with demonstrable experience in utilising and deploying transformer models. Deep knowledge of machine learning fundamentals More ❯

BASIC QUALIFICATIONS - Experience with building, validating and deploying GenAI models and applications on cloud infrastructure. - Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as Pytorch, TensorFlow, JAX or MXNet. - Knowledge of MLOps tools and workflows for model development, validation, and deployment. - High level of communicating effectively across internal and external organizations, with both technical and More ❯

The project is about quilibrium Propagation (EP), an alternative training framework to backpropagation (BP) that is compatible with analog computing hardware (i.e. fast and energy-efficient hardware). Specifically, the project is aimed at demonstrating through simulations that EP can More ❯

The project is about quilibrium Propagation (EP), an alternative training framework to backpropagation (BP) that is compatible with analog computing hardware (i.e. fast and energy-efficient hardware). Specifically, the project is aimed at demonstrating through simulations that EP can More ❯

PRINCIPAL MACHINE LEARNING INFRASTRUCTURE (ML PLATFORM AND OPERATIONS) - ENGINEERS: Bullisher is a data-centric fintech solution provider in the aerospace and defense industry for institutional-level investors, looking to disrupt and revolutionize a $3 trillion industry. We spearhead an industry More ❯

you also had experience in some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible How we More ❯

you also had experience in some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible How we More ❯

Experience working with AI systems, machine learning models, or related technologies using Microsoft AI tools and Azure. Technical Skills Needed Familiarity with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras). Experience in Microsoft Azure as well as Microsoft AI tools (Copilot) is a must. Proficient in programming languages such as Python, Java, or C++. Understanding of More ❯

of parallel processing programming • Solid grasp of the software development lifecycle • Familiarity with standard developing organizations (SDOs) Nice to Have Skills: • Experience with visual quality assessment techniques • Knowledge of TensorFlow , Generative AI , or media indexing • Background in contributing to patents or published research • Experience with standards organisations and conference presentations • Comfortable with Agile workflows , JIRA, and Git version control More ❯

of parallel processing programming • Solid grasp of the software development lifecycle • Familiarity with standard developing organizations (SDOs) Nice to Have Skills: • Experience with visual quality assessment techniques • Knowledge of TensorFlow , Generative AI , or media indexing • Background in contributing to patents or published research • Experience with standards organisations and conference presentations • Comfortable with Agile workflows , JIRA, and Git version control More ❯

of parallel processing programming • Solid grasp of the software development lifecycle • Familiarity with standard developing organizations (SDOs) Nice to Have Skills: • Experience with visual quality assessment techniques • Knowledge of TensorFlow , Generative AI , or media indexing • Background in contributing to patents or published research • Experience with standards organisations and conference presentations • Comfortable with Agile workflows , JIRA, and Git version control More ❯

is required for the role. Equally, strong ML experience, proficiency in Python and SQL knowledge is essential, ideally with experience using data processing frameworks such as Kafka, NoSQL, Airflow, TensorFlow, or Spark. Finally, experience with cloud platforms like AWS or Azure, including data services such as Apache Airflow, Athena, or SageMaker, is essential. This is a fantastic opportunity for More ❯

development. • Experience with parallel processing programming. • Understanding of standardization processes and standard-developing organizations (SDOs). Beneficial to have: • Knowledge of objective Visual Quality (VQ) assessment techniques. • Experience with TensorFlow, visual AI (e.g., media indexing), and/or multimodal Generative AI. • Experience in Intellectual Property development. • Experience presenting research findings at conferences and within video-centric forums. • Contribution to More ❯

development. • Experience with parallel processing programming. • Understanding of standardization processes and standard-developing organizations (SDOs). Beneficial to have: • Knowledge of objective Visual Quality (VQ) assessment techniques. • Experience with TensorFlow, visual AI (e.g., media indexing), and/or multimodal Generative AI. • Experience in Intellectual Property development. • Experience presenting research findings at conferences and within video-centric forums. • Contribution to More ❯

impact of your research-based optimizations and present your findings to the team. What you'll bring to the team Knowledge of Python and modern ML libraries like PyTorch, Tensorflow, or JAX. Ability to implement models from academic papers like ICML, ICLR, NeurIPS, etc. Strong quantitative intuition and mastery of linear algebra, probability and statistics. Solid knowledge of basic More ❯

role: Creative thinkers who are motivated by challenging (stochastic, non-stationary, non-linear, partially observed, very low SNR) problems A firm understanding of why just throwing data at say TensorFlow libraries doesn't work A healthy scepticism about the robustness and generalisability of in-sample results A working habit of first investigating simpler, parsimonious models Desire to work within More ❯

including transformers, diffusion models, or multimodal architectures. Experience applying ML to large multimodal biological datasets (genomics, transcriptomics, epigenomics, proteomics, single-cell data). Exceptional coding skills (Python, PyTorch, JAX, TensorFlow) and familiarity with scalable training frameworks. Experience managing large-scale distributed training across GPUs/TPUs. Background in generative AI, large language models, mechanistic interpretability, or reinforcement learning. Interview More ❯

ll own the delivery of individual machine learning models to help Ki better assess and manage risk. Fully utilizing your experience with common machine learning frameworks (e.g. scikit-learn, TensorFlow, etc.) as well as any experience you have working in cloud environments, you'll work closely with the Ki Portfolio Underwriting team to appropriately formulate commercial challenges as machine More ❯

you also had experience in some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible How we More ❯

you also had experience in some of these, but if not we'll help you with them: Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Relational, document, or graph database systems Software configuration and deployment e.g. Ansible Please note that it is essential More ❯

journals such as ACL/NIPS/EMNLP/NACL. Strong programming skills - e.g. Python, C++. Experience with Deep Learning/NLP/Machine Learning frameworks such as PyTorch, Tensorflow, Spacy, CoreNLP. Tagged as: Industry , Machine Learning , Natural Language Processing , NLP , United Kingdom More ❯

building and fine tuning LLM solutions in an applied environment. To provide a snapshot of the experience they are looking for, Conversational AI – NLP LangChain, LangGraph & RAG Pytorch/Tensorflow You will ideally come from a financial services background but this is not an absolute requirement. They work in a hybrid model with 1-2 days a week in More ❯

building and fine tuning LLM solutions in an applied environment. To provide a snapshot of the experience they are looking for, Conversational AI – NLP LangChain, LangGraph & RAG Pytorch/Tensorflow You will ideally come from a financial services background but this is not an absolute requirement. They work in a hybrid model with 1-2 days a week in More ❯

ll Need Experience leading AI or ML teams (ideally in robotics or autonomous systems) Deep knowledge of CV, deep learning, RL or SLAM Strong Python and ML stack (PyTorch, TensorFlow, etc.) Startup mindset: hands-on, agile, and impact-driven Why Join Us Big ownership, fast growth, real impact Competitive salary + equity Hybrid working with an awesome London HQ More ❯