26 to 50 of 198 TensorFlow Jobs in the UK

art techniques for Action Intent Recognition, ideally for Road Users Experience developing and training Machine Learning/Deep Learning algorithms with frameworks such as Tensorflow/Pytorch Proficiency in Python with associated data processing/machine learning toolkits (Numpy, Scipy, Tensorflow/PyTorch, Jupyter notebooks, etc) Able to more »

of relevant professional experience developing and deploying deep learning models in C++ applications. Experience working with modern deep learning frameworks and runtimes (e.g., PyTorch, TensorFlow, ONNX, TensorRT). Experience developing efficient C++ code for modern CPUs. Experience with GPGPU/CUDA programming. Hands-on experience working with software profiling more »

on full-cycle model development for AI hardware processors Experience in benchmarking and performance analysis of machine learning models on specialized hardware platforms PyTorch, TensorFlow Python, C/C++, Desired experience HDL What’s on offer? £60-90k, share options and a growing benefit package Hybrid working (preferably more »

industry experience working on performance architecture of NPU/GPU/CPU/AI accelerators Software-hardware co-design work Deep learning frameworks, PyTorch, TensorFlow C/C++, Python Desirable MLOps, including model training, quantisiation, sparsity, model preprocessing etc. ML Compiler stack Verilog/RTL designs What’s on more »

their Embedded AI team. As the right engineer you will have extensive experience developing embedded systems in C++ alongside knowledge of ML platforms including TensorFlow or AI models within Speech/NLP. Due to the nature of the work, the client will require 3 days per week on-site … and the role is inside of IR35. Key points: Embedded Software development on AI products Knowledge of ML platforms (TensorFlow) or AI models (speech/NLP) Extensive C++ development experience Ability to work on-site in West London 3 days per week Inside IR35, but with very competitive ratesIf more »

a high-performing, cross-functional team of ML engineers, data scientists, and domain experts. Evaluate and select appropriate ML models, frameworks, and technologies (e.g., TensorFlow, PyTorch, Kafka) to address specific business challenges. Collaborate with stakeholders (CTO, CEO, SVP of Legal Services, Product Management, Development teams) to integrate ML and … techniques. Hands-on experience in building and deploying end-to-end ML solutions. Strong programming skills in Python and proficiency in ML frameworks (e.g., TensorFlow, PyTorch). Expertise in cloud computing platforms (AWS, Azure) and containerization technologies (Docker) for scalable ML model deployment. Understanding of data privacy, security, and more »

Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle … hearing from you. KEY SKILLS: Data Scientist/Data Science/AWS/Azure/Machine Learning/NLP/AI/PyTorch/TensorFlow/Python/Cheltenham/Security Cleared/DV/DV Cleared/Enhanced Clearance more »

C++, or Java, and their associated security considerations. Previous experience with ML, LLM, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn is desirable. Experience in implementing secure coding practices, DevOps, CI/CD pipelines and familiarity with secure software development more »

different data sources and types Commercially astute. Excellent communication, planning and interpersonal skills. What Sets You Apart Software experience with Geospatial technologies Experience with Tensorflow & BigQuery. Comfortable building automated test infrastructure for ML models. WHAT'S IN IT FOR YOU We offer great personal development opportunities and roles with more »

development and deployment. Excellent communication and teamwork skills, capable of collaborating effectively with non-technical colleagues. Strong knowledge of Python and ML libraries (PyTorch, Tensorflow, Keras, etc.) with R/SQL knowledge, partnered with experience with MLOps tools (Kubernetes, Docker, Jenkins, etc.) would be advantageous. Strong knowledge and experience more »

good experience handling unstructured data. Proficiency in Python, NLP libraries (NLTK, SpaCy), Hugging Face Transformers, data science libraries (Numpy, Pandas) and deep learning frameworks (TensorFlow and/or PyTorch). Experience crawling, cleaning, processing unstructured data. Understanding of CI/CD & Devops principles. Familiarity with software development best practices more »

data manipulation Prior work experience with analytical/statistical data analysis tools such as R and Python and deep learning libraries such as PyTorch, TensorFlow, Keras Familiarity with data visualization and dimensionality reduction algorithms Ability to develop, benchmark and apply predictive algorithms to generate hypotheses Comfortable working in cloud more »

Experience with Machine Learning and Artificial Intelligence including ML and AItechniques to develop predictive models and enhance algorithmic strategies. Familiaritywith libraries and frameworks like TensorFlow, PyTorch, or Scikit-Learn can be particularlyuseful.• Knowledge of risk management software and tools to monitor, measure, and manage thevarious types of financial risks more »

data (PostgreSQL preferred but general SQL knowledge more important)Experience using the latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn)Delivering insights using visualisation tools or libraries (Javascript preferred)Experience building and deploying solutions to Cloud (AWS, Azure, Google Cloud) including more »

the 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 more »

Hands-on experience with Azure cloud services, including Azure Machine Learning, Azure Databricks, and Azure Synapse Analytics. Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with version control systems such as Git. Excellent problem-solving and analytical skills. Strong communication and teamwork skills. Active more »

Delta Lake, Databricks and Spark Statistical Modelling Azure ML Studio Python and familiarity with libraries and frameworks for data analysis and machine learning (e.g., TensorFlow, sci-kit-learn, Pandas). Microsoft Power BI The ability to use analytical and problem-solving skills, with the ability to work with large more »

solutions within the insurance domain , Hands-on experience across predictive modelling, natural language processing, computer vision, and reinforcement learning. Proficiency in ML 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 more »

facing if you wish. You’ll need: MSc OR PHD in a STEM subject – ideally from a top UK university Experience with Python/TensorFlow/Keras Solid knowledge & understanding of Machine Learning/Data Science Strong Time-Series Forecasting Experience ·Research experience is a bonus! On offer is more »

or related domains. Leadership experience in managing technical teams. Familiarity with NLP, GANs, VAEs, and other generative AI techniques. Skills: Strong programming skills (Python, TensorFlow, PyTorch, etc.). Strategic thinking and ability to align GenAI initiatives with business goals. Excellent communication and stakeholder management skills. more »

Code-Style Guidelines, Continuous Development and Version Control System in a product-oriented professional working environment. Expert coding in Python and C++. Experience using TensorFlow, SciPy and numerical software. Experience with machine learning and signal processing. Knowledge using AWS and/or Google Cloud. ‍ Desirables Experience coding in Cuda. more »

have experience with the following... Proven Leadership experience in a highly technical environment Extensive Python experience skilled with deep learning frameworks (e.g PyTorch and TensorFlow) Excellent problem solving, analytical and communication skills. Experienced with MLOps tooling Strong knowledge with Computer vision models Bachelors, Masters or PhD program in Computer more »

applications. Qualifications In-depth understanding of artificial intelligence principles and techniques Proficiency in programming languages commonly used in AI research, such as Python or TensorFlow Experience in developing and deploying machine learning models Familiarity with deep learning frameworks and methodologies Strong analytical and problem-solving skills Ability to thrive more »

ecosystem (Lab, Notebook) and related libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning more »

ecosystem (Lab, Notebook) and related libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning more »