101 to 125 of 215 Permanent TensorFlow Jobs

Python Desirable Skills (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep learning frameworks (e.g. TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android) What's on Offer Opportunity ...

Jenkins Docker or containerisation environments Video/audio formats, codecs, containers SDI, SMPTE ST 2110 DSP (e.g. FIR filters) ML/AI toolkits (TensorFlow, PyTorch) Broadcast industry experience You'll enjoy a raft of employee focused benefits including, 25 days' holiday plus a full Christmas shutdown, the opportunity ...

cost have a solid understanding and hands-on experience of ML, anomaly detection and analytics tools, models and algorithms. e.g. Pandas, SciKit, AzureML, TensorFlow, Databricks, ADX be experienced with the complete software development lifecycle, including DevOps/CI/CD/Automation have hands-on development experience in C# ...

Ph.D. preferred. Knowledgeable in the areas of robot locomotion, robot kinematics and robot dynamics. Proficient in Python, with practical experience using ROS , PyTorch or TensorFlow . Comfortable working with real-world sensor data (e.g., ToF, vision, IMU) and simulation tools like Gazebo, Isaac Sim, MuJoCo, OpenAI Gym or Unreal. ...

deploying AI systems Proficiency in programming languages such as Python, JavaScipt, TypeScript, or R, and familiarity with AI development tools and libraries like TensorFlow, PyTorch, LangChain or LlamaIndex Knowledge of vector databases and data platforms Demonstrated ability to lead projects, manage teams, and drive projects to completion under tight ...

deploying AI systems Proficiency in programming languages such as Python, JavaScipt, TypeScript, or R, and familiarity with AI development tools and libraries like TensorFlow, PyTorch, LangChain or LlamaIndex Knowledge of vector databases and data platforms Demonstrated ability to lead projects, manage teams, and drive projects to completion under tight ...

engineers and data scientists to: Build & Train Models : Support the development and training of machine learning and deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment & Research : Test new algorithms, perform feature … data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical thinking A willingness to learn and work collaboratively in a team environment Nice ...

deliver ML-powered solutions: Model Development : Assist in building and training machine learning and deep learning models using Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn Data Preparation : Work on collecting, cleaning, transforming, and analysing large datasets for training and testing models Feature Engineering : Support the design … Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related discipline Proficiency in Python and familiarity with ML libraries such as Scikit-learn, TensorFlow, or PyTorch Strong understanding of basic machine learning concepts and algorithms (e.g. regression, classification, decision trees) Good grasp of data structures, algorithms, and programming ...

physics, or mathematics Strong publication record (NeurIPS, ICML, ICLR, etc.) 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 Why Join ...

alignment. Prototype and deploy AI models for forecasting, customer insights, and fraud prevention. Required Skillset: Advanced Python and experience with AI/ML frameworks (TensorFlow, PyTorch). Strong knowledge of LLMs, Generative AI, RAG, and agentic architectures. Familiarity with prompt engineering, embeddings, and vector databases (FAISS, Pinecone). Hands ...

modern software engineering best practices. Cloud infrastructure (AWS, GCP, Azure, or similar). Exposure to or interest in machine learning frameworks (e.g., PyTorch, TensorFlow) Building and scaling complex systems end-to-end. C++/Embedded Software/ML/Machine Learning/Python ...

modern software engineering best practices. Cloud infrastructure (AWS, GCP, Azure, or similar). Exposure to or interest in machine learning frameworks (e.g., PyTorch, TensorFlow) Building and scaling complex systems end-to-end. C++/Embedded Software/ML/Machine Learning/Python ...

modern software engineering best practices. Cloud infrastructure (AWS, GCP, Azure, or similar). Exposure to or interest in machine learning frameworks (e.g., PyTorch, TensorFlow) - not essential but beneficial. Building and scaling complex systems end-to-end. C++/Embedded Software/ML/Machine Learning/Python ...

Excellent written/verbal communication; stakeholder-oriented thinking Team-working, independent planning/execution, problem-solving and data analysis/reporting skills PyTorch/TensorFlow/Jax/Transformers; problem scoping with customers; managing research data/experiments; AI tooling awareness Commitment to EDI and organisational values; eligible ...

Proficiency in using and customizing offensive toolkits for network, application, and AI/ML penetration testing Thorough understanding of how major ML frameworks (e.g., Tensorflow, PyTorch) are implemented in real-world training and deployment pipelines. Understanding of how to deploy AI/ML models with LangChain, including secure configuration ...

Proficiency in using and customizing offensive toolkits for network, application, and AI/ML penetration testing Thorough understanding of how major ML frameworks (e.g., Tensorflow, PyTorch) are implemented in real-world training and deployment pipelines. Understanding of how to deploy AI/ML models with LangChain, including secure configuration ...

Proficiency in using and customizing offensive toolkits for network, application, and AI/ML penetration testing Thorough understanding of how major ML frameworks (e.g., Tensorflow, PyTorch) are implemented in real-world training and deployment pipelines. Understanding of how to deploy AI/ML models with LangChain, including secure configuration ...

Proficiency in using and customizing offensive toolkits for network, application, and AI/ML penetration testing Thorough understanding of how major ML frameworks (e.g., Tensorflow, PyTorch) are implemented in real-world training and deployment pipelines. Understanding of how to deploy AI/ML models with LangChain, including secure configuration ...

Proficiency in using and customizing offensive toolkits for network, application, and AI/ML penetration testing Thorough understanding of how major ML frameworks (e.g., Tensorflow, PyTorch) are implemented in real-world training and deployment pipelines. Understanding of how to deploy AI/ML models with LangChain, including secure configuration ...

Proficiency in using and customizing offensive toolkits for network, application, and AI/ML penetration testing Thorough understanding of how major ML frameworks (e.g., Tensorflow, PyTorch) are implemented in real-world training and deployment pipelines. Understanding of how to deploy AI/ML models with LangChain, including secure configuration ...

Proficiency in using and customizing offensive toolkits for network, application, and AI/ML penetration testing Thorough understanding of how major ML frameworks (e.g., Tensorflow, PyTorch) are implemented in real-world training and deployment pipelines. Understanding of how to deploy AI/ML models with LangChain, including secure configuration ...

Proficiency in using and customizing offensive toolkits for network, application, and AI/ML penetration testing Thorough understanding of how major ML frameworks (e.g., Tensorflow, PyTorch) are implemented in real-world training and deployment pipelines. Understanding of how to deploy AI/ML models with LangChain, including secure configuration ...

Proficiency in using and customizing offensive toolkits for network, application, and AI/ML penetration testing Thorough understanding of how major ML frameworks (e.g., Tensorflow, PyTorch) are implemented in real-world training and deployment pipelines. Understanding of how to deploy AI/ML models with LangChain, including secure configuration ...

Proficiency in using and customizing offensive toolkits for network, application, and AI/ML penetration testing Thorough understanding of how major ML frameworks (e.g., Tensorflow, PyTorch) are implemented in real-world training and deployment pipelines. Understanding of how to deploy AI/ML models with LangChain, including secure configuration ...

Proficiency in using and customizing offensive toolkits for network, application, and AI/ML penetration testing Thorough understanding of how major ML frameworks (e.g., Tensorflow, PyTorch) are implemented in real-world training and deployment pipelines. Understanding of how to deploy AI/ML models with LangChain, including secure configuration ...