14 of 14 TensorFlow Jobs in Hounslow

engineering. 2+ years of leadership or technical mentoring experience. Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining ML pipelines and data pipelines. Proficiency in model deployment techniques (e.g. … Familiarity with reinforcement learning or generative AI models. Tools & Technologies: Languages: Python, SQL (optionally: Scala, Java for large-scale systems) Data Processing: Pandas, NumPy, Apache Spark, Beam Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask Experiment Tracking & Monitoring: MLflow, Neptune.ai, Weights & Biases #J-18808-Ljbffr More ❯

Lead, Data Scientist (Deep Learning), Peacock Video Streaming Service Peacock Brentford, England, United Kingdom Lead, Data Scientist (Deep Learning), Peacock Video Streaming Service Peacock Brentford, England, United Kingdom Company Description NBCUniversal is one of the world's leading media and More ❯

background in digital signal processing (DSP) and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Understanding of real-time and embedded audio processing techniques. Experience working with generative AI models for audio synthesis and transformation. Strong problem-solving skills with the More ❯

into the business Proven expertise in leading the development and deployment of big data solutions on Cloud platforms (essential) Programming for modelling and/or data analysis e.g. Python, Tensorflow (essential) Database experience, preferably SQL (essential) Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests More ❯

Social network you want to login/join with: Data Scientist/Machine Learning Engineer/AI Engineer - Java, Python, scikit-learn, TensorFlow, PyTorch AWS, Machine Learning, Artificial intelligence (Hybrid - 3 days in the office -mon, weds, Friday) Data Scientist/Machine Learning Engineer:- You will be joining a fast-growing, research-driven company building an artificial intelligence using … Science/Machine Learning role Solid experience of Python and some Java (Could be from University projects) A strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Familiarity with cloud platforms (AWS) and Kubernetes for deploying A degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience in engineering. Salary for … The latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill. Data Scientist/Machine Learning Engineer/AI Engineer - Java, Python, scikit-learn, TensorFlow, PyTorch AWS, Machine Learning, Artificial intelligence (Hybrid - 3 days in the office -mon, weds, Friday) Applicants must have the right to work in the UK, no sponsorship is offered More ❯

and memory architectures (e.g., SRAM, DDR, ROM, eFuse, HBM) HW-SW co-design Deep knowledge of any; VPU/NPU/GPU/CPU/TPU architecture ML frameworks - Tensorflow/PyTorch/Python or similar DSP algorithms - FIR/IIR filters or FFT... low-power, performance and optimisation Applicants must have UK/EU/France working rights More ❯

AI trends and contribute to open research Requirements: • PhD or equivalent experience in ML, AI, CS, physics, or mathematics • Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) • Solid grasp of ML techniques; independent and team-oriented mindset Preferred: • Experience in LLMs, reinforcement learning, or chip design • Familiarity with JAX and optimization frameworks #J-18808-Ljbffr More ❯

e.g., peer-reviewed publications). Hands-on experience in data handling, visualization , and biological data analysis. Proficient in Python , familiar with software development best practices . Practical experience with TensorFlow and/or PyTorch . Preferred Qualifications 3+ years post-graduate experience in academia or biotech/pharma, applying ML/AI to biological datasets . Prior exposure to More ❯

Help shape the data pipeline and MLOps practices for handling sensitive legal content securely. Required Experience: Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face, TensorFlow/PyTorch). Experience building NLP or document analysis solutions, ideally for legal or compliance use cases. Strong understanding of legal language, structures, and workflows (e.g., contracts, clauses, case More ❯

and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross-functional teams More ❯

of experience in quantitative research, within a multi-strategy hedge fund environment. Strong programming skills in Python, R, or C++, with a focus on Machine Learning libraries such as TensorFlow or scikit-learn. Demonstrated success in developing and trading medium frequency statistical arbitrage strategies, with examples of applying Machine Learning techniques for predictive analytics. Exceptional analytical skills, with a More ❯

the latest trends in machine learning and crypto technologies. Requirements: Proven experience as a Machine Learning Engineer, with a strong understanding of algorithms and data modelling. Experience in Python, TensorFlow, or similar frameworks. A passion for cryptocurrency and blockchain technologies. Strong problem-solving skills and the ability to work in a fast-paced, remote environment. How to Apply: Please More ❯

and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross-functional teams More ❯

users. Responsibilities: Design, develop, and maintain robust backend systems using Ruby (Rails or Sinatra) Integrate AI and machine learning tools/APIs into our applications (e.g., OpenAI, Hugging Face, TensorFlow, or custom models) Collaborate with frontend developers, data scientists, and product managers to deliver end-to-end features Optimize performance and scalability of AI-enhanced features #J-18808-Ljbffr More ❯