126 to 150 of 272 TensorFlow Jobs in England

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# ...

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 ...

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 ...

Have * Broader GCP experience (Cloud Run, Cloud SQL, Cloud Scheduler, etc.)* Pharma or life sciences domain exposure (or strong interest in the space)* TensorFlow experience (acceptable alternative to PyTorch) This is an excellent opportunity for a Data Engineer who has worked alongside ML teams and understands how to operationalise ...

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 ...

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 ...