376 to 400 of 637 TensorFlow Jobs

Familiarity with UK data protection, research governance or health data access expectations. Experience with PETs or privacy‐preserving ML frameworks such as Flower, Opacus, TensorFlow Federated or similar. Cloud platforms, containerisation, CI/CD, MLOps or production ML systems. Experience evaluating synthetic data using both utility and privacy metrics. ...

Programming experience, from either an engineering role, a computer science degree, or personal projects Python proficiency Experience using any of the following: Keras, Tensorborad, Tensorflow, Pytorch, Pytorch Lightning, Jupyter notebooks, colabs, matplotlib and other ML frameworks and tools A passion for connecting with real users and enabling them ...

Generative AI solutions using Python.* Build, train, evaluate, and fine-tune machine learning and large language models (LLMs) using frameworks such as PyTorch, TensorFlow, and Keras.* Develop Retrieval-Augmented Generation (RAG) applications using LangChain, Hugging Face, and LlamaIndex.* Implement and optimize vector database, semantic search, and hybrid search solutions … Strong proficiency in Python programming for AI/ML application development* Hands-on experience with Machine Learning and Deep Learning techniques* Expertise in PyTorch, TensorFlow, and Keras frameworks* Experience developing Generative AI solutions and applications* Strong understanding of Large Language Models (LLMs) and their architectures* Hands-on experience with ...

reliable for visa-sponsored roles, which usually expect a degree. Skills you'll need Technical skills Python and SQL (pandas, scikit-learn, PyTorch/TensorFlow) Statistics, probability and experimental design (A/B testing) Machine learning — supervised, unsupervised and deep learning Data wrangling, feature engineering and pipelines Cloud platforms … majority of roles. R is common in research, finance and academia. Beyond languages, employers look for the machine-learning ecosystem (scikit-learn, PyTorch or TensorFlow), cloud and MLOps tooling (AWS/GCP/Azure, Docker), and version control (Git). A public portfolio demonstrating these is worth more than ...

architecture or a related role.Proven experience in designing and deploying generative AI models and solutions.Hands-on experience with AI frameworks and tools such as TensorFlow, PyTorch, Hugging Face, etc.Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying AI solutions in cloud environments.Technical Skills: Proficiency in programming languages ...

statisticsMachine learning (experience of techniques such as linear regression, logistic regression, boosting, kNN)PythonExperience of one or more common frameworks (e.g. Caffe, Theano, Torch, Tensorflow, scikit-learn)The environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. The atmosphere ...

quantitative field. Expert proficiency in GCP’s ML/AI tooling, its data ecosystem, and Python with core ML/AI libraries (PyTorch, XGBoost, TensorFlow). Expert proficiency with SQL development, with Google dialects being advantageous. Proficiency with an API web framework (FastAPI, Django, Flask). Robust CI/ ...

models. Strong publication record or history of impactful project delivery in RL or related areas. Proficiency in Python and standard ML frameworks (e.g., JAX, TensorFlow). Experience with large‐scale distributed training and data processing. Proven ability to lead complex and ambiguous technical projects from conception to completion. ...

learning (parametric/model-based), model post-training and test-time adaptation. Preferred qualifications, capabilities, and skills Practical experience with ML libraries (e.g. PyTorch, TensorFlow/Keras, HuggingFace Transformers etc.), agent frameworks (e.g. LangGraph, Google ADK, etc.), common formal verification tools and languages (e.g., Coq/Isabelle/Lean ...

platform AI experience across AWS, Microsoft Azure, Google (e.g. Bedrock, AgentCore, Vertex, Azure ML etc.) Advanced Python programming AI frameworks such as AutoGen, Langflow, Tensorflow Knowledge of Infrastructure as Code, CI/CD Use of Middleware and RESTful or GraphQL APIs Microservices and MACH Architectures. HTML, CSS, Javascript frameworks ...

Databricks. Strong background building end-to-end ML pipelines across the full machine learning lifecycle. Hands-on experience with deep learning frameworks including PyTorch, TensorFlow, or equivalent technologies. Experience with multimodal machine learning, embedding models, representation learning, or foundation models. Strong understanding of modern deep learning architectures, particularly Transformers ...

Skills & Experience * Strong experience with AI engineering, or software engineering (e.g. Python, Java, JavaScript/TypeScript etc.) with libraries/frameworks such as PyTorch, TensorFlow etc.) * Experience with RAG and LLM-based solutions * Solid understanding of AI architectures and data pipelines * Knowledge of security, compliance, and governance principles from ...

validation, overfitting and bias/variance trade‐offs, and data quality and feature engineering Proficiency in Python and ML frameworks such as PyTorch or TensorFlow Experience building and maintaining ML pipelines in production Familiarity with GPU usage and optimisation The ability to debug and improve model performance systematically Also ...

Skills & Experience * Strong experience with AI engineering, or software engineering (e.g. Python, Java, JavaScript/TypeScript etc.) with libraries/frameworks such as PyTorch, TensorFlow etc.) * Experience with RAG and LLM-based solutions * Solid understanding of AI architectures and data pipelines * Knowledge of security, compliance, and governance principles from ...

validation, overfitting and bias/variance trade-offs, and data quality and feature engineering • Proficiency in Python and ML frameworks such as PyTorch or TensorFlow • Experience building and maintaining ML pipelines in production • Familiarity with GPU usage and optimisation • The ability to debug and improve model performance systematically Also ...

applied AI research. Commercial or research experience implementing machine learning algorithms. Strong programming skills in Python; C++ experience is advantageous. Experience with PyTorch, TensorFlow, JAX, or similar deep learning frameworks. Why Apply? Join a world-class AI research team working on cutting-edge machine learning technologies. Play ...

understanding of: Model evaluation and validation Overfitting, bias/variance tradeoffs Data quality and feature engineering Proficiency in Python and ML frameworks (e.g. PyTorch, TensorFlow) Experience building and maintaining ML pipelines in production Familiarity with GPU usage and optimisation Ability to debug and improve model performance systematically We also ...

similar LLM platforms and exposure to agentic architectures (multi-agent systems, orchestration, HITL workflows) Experience with vector databases and familiarity with PyTorch or TensorFlow Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants ...

Prime Finance, securities lending, or inventory management. Familiarity with revenue and yield management strategies. Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Knowledge of optimization libraries and techniques (e.g., Gurobi, CPLEX, linear/nonlinear programming). Track record of publishing research or presenting ...

professional software engineering experience with meaningful work on ML inference or high-performance systems.* Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow).* Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores).* Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative ...

similar analytical role Strong programming skills in Python and/or R, with solid SQL Experience with machine learning frameworks such as scikit-learn, TensorFlow or PyTorch Strong grounding in statistics, probability and data modelling Experience with large datasets and cloud-based platforms Familiarity with visualisation tools such ...

systems in production environments.Strong understanding of machine learning engineering principles and modern software engineering practices.Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow or similar.Experience training and optimising models using large datasets and distributed compute infrastructure.Experience working with recommendation systems, ranking, retrieval, personalisation or related machine learning ...

automation, and data processing. Hands-on experience with at least one of the following frameworks: SNPE/QNN (Qualcomm) , OpenVino (Intel), TensorRT (Nvidia), TensorFlow Lite Familiarity with Docker for creating consistent development and deployment environments. Bonus: Understanding Deep Learning fundamentals (CNNs, Transformers, Object Detection). Experience with model conversion ...

Hands‐on LLM/ML systems experience: fine‐tuning models, building inference pipelines, optimisation for latency/cost, evaluation of model performance; comfortable with TensorFlow, PyTorch, Triton and productionising ML. Technical depth and breadth: T‐shaped expertise in at least one area (ML infrastructure, backend systems, performance optimisation) with ...

Python for automation, and data processing.Hands-on experience with at least one of the following frameworks:SNPE/QNN (Qualcomm) , OpenVino (Intel), TensorRT (Nvidia), TensorFlow LiteFamiliarity with Docker for creating consistent development and deployment environments.Bonus:Understanding Deep Learning fundamentals (CNNs, Transformers, Object Detection).Experience with model conversion and quantization ...