18 of 18 TensorFlow Jobs in the Midlands

responsible AI principles, model interpretability, and ethical considerations. Strong interpersonal skills and team working. DESIRABLE: Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage ...

experience in managing, coaching, and developing junior members of a team and wider community. DESIRABLE: Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g, GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage ...

experience in managing, coaching and developing junior members of a team and wider community. DESIRABLE: Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g. GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage ...

classification and optimisation problems. Proficient in SQL & Python. Familiarity with data manipulation libraries (e.g. PySpark, Pandas, Numpy) and machine learning frameworks (e.g. scikit-learn, TensorFlow or PyTorch). Experience with MLOps tools (e.g., MLflow, Databricks Model Registry, Unity Catalog, Vertex AI) and version control (Git). Strong coding practices ...

communication skills. Desirable Experience Machine Learning model development and training. LLMs, transformers, RAG and Agentic AI. LangChain, LangGraph or similar AI orchestration frameworks. PyTorch, TensorFlow, Scikit-learn or Hugging Face. Vector databases, embeddings and model evaluation. NLP, Computer Vision or multimodal AI. Edge AI, AI safety, security or explainability. ...

APIs or integration with the latest Machine Learning models Collaborate with research teams on innovative machine learning experiments Tech stack: Python, scikit-learn, TensorFlow, PyTorch, Java, Angular, AngularJS Data Consumption: build the experience that makes data accessible and actionable for everyone. Enhance our collaborative Workspaces to organize and explore ...

cloud-based analytics environments Feature extraction and time-series analysis Probabilistic prediction techniques using scalable Python-based development environments such as PyTorch or TensorFlow Cloud-native machine learning and MLOps environments such as AWS SageMaker Small or large language model development with retrieval-augmented generation Industrial analytics or predictive ...

equivalent. Experience with machine learning, deep learning, NLP, and computer vision. Proficiency in Python, Java, and R. Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science techniques and methodologies. Excellent problem‐solving skills and ability to work in a team environment. Thorough and proven ...

solve complex business problems. Job Description ✔️ Design and implement machine learning and AI algorithms for enterprise applications. ✔️ Build and train deep learning models using TensorFlow or PyTorch. ✔️ Process and analyze large-scale structured and unstructured datasets. ✔️ Apply natural language processing (NLP) and computer vision techniques. ✔️ Integrate AI solutions into ...

learning, AI, and cloud technologies. Required technical and professional expertise Required Skills: Advanced Python with hands‐on experience across AI/ML frameworks including TensorFlow, PyTorch, and Keras. Strong understanding of foundation models, LLMs, generative AI, and modern ML architectures. Practical experience with AWS cloud services for data, machine ...

machine learning techniques to real‐world business problems, including using models such as XGBoost and deep learning approaches using frameworks such as PyTorch or TensorFlow, taking solutions from experimentation through to production deployment and operation. Strong knowledge of model governance, explainability, traceability, auditability, SHAP, Model Cards, and model documentation ...

team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers, including training deep learning models on GPUs or GPU clusters. Experience working with structured and unstructured data, such as text ...

team setting, including code reviews and setting software engineering best practices. Hands‐on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers, including training deep learning models on GPUs or GPU clusters. Experience working with structured and unstructured data, such as text ...

success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. ...

boost predictive power and generate actionable customer insights. You’ll mentor others, collaborate with stakeholders, and drive prototypes through production, using PyTorch/TensorFlow and SQL/Python in a hybrid Nottingham setup. #J-18808-Ljbffr ...

production environments. Programming and configuration: Program and integrate system components such as cameras, lenses, and lighting, and configuring software using tool likes PyTorch or TensorFlow for Deep Learning, Optical Character Recognition (OCR/OCV), and Data Matrix Code. Testing and optimization: Validate system performance to ensure accuracy and efficiency ...

will work closely with data scientists and engineers, developing machine learning algorithms and integrating AI capabilities into existing systems. Essential skills include experience with TensorFlow or PyTorch and strong knowledge of data processing and optimization techniques. #J-18808-Ljbffr ...

platform requirements. Define model calibration, scoring logic, confidence thresholds, and optimisation strategies. Mentor teams on advanced ML techniques using Model frameworks such as PyTorch, TensorFlow, and XGBoost. Review and approve technical designs for complex modeling workflows. Explainability & Regulatory-Grade ReasoningEstablish explainability standards across the ML stack, using SHAP … environments. Deep expertise with AWS SageMaker (training, processing, pipelines, endpoints, registry) and complementary AWS services. Expert-level Python and ML Model frameworks (e.g. PyTorch, TensorFlow, XGBoost).Strong thought leadership in MLOps automation, CI/CD for ML, and model lifecycle management. Advanced experience designing explainability systems, reason codes ...