76 to 100 of 549 PyTorch Jobs in England

with video, audio, TV, or edge-device environments, especially where latency, cost, and hardware constraints matter. Familiarity with ML/DL frameworks such as PyTorch or TensorFlow. Research experience, paper implementation experience, or a habit of applying emerging GenAI techniques pragmatically to real problems. What's Roku's approach ...

secure, scalable, and responsible AI solutions while supporting ongoing innovation. Your Key Skills Strong commercial experience with Python and machine learning frameworks such as PyTorch, TensorFlow, and Hugging Face. Proven expertise developing and deploying computer vision and deep learning solutions in production environments. Experience fine-tuning and optimising pre-trained ...

cloud environment. PREFERRED QUALIFICATION Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch). Experience working with language models like LLM's APIs and optimizing their usage for specific applications. Experience with the following programming languages: Python, C++, Java ...

resiliency and security expectations; experience coaching engineers on safe, compliant adoption. Good understanding of data structures, algorithms, and practical machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn). Proficiency in automation, continuous delivery (CI/CD), and cloud-native development (preferably AWS). Hands-on practical experience delivering system design ...

hands‐on experience and solid understanding of machine learning and deep learning methods Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with ...

experience, or an MS with significant industry or research experience in the field Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with ...

deploying machine learning or AI systems in a production environment. Proficiency in Python and experience with relevant AI/ML frameworks such as PyTorch, TensorFlow, or JAX. A strong foundation in machine learning principles, deep learning architectures, and natural language processing, particularly with large language models. Experience with cloud platforms ...

control and code review as a matter of course, and code defensively so that simple edge cases don't break production environments. Experience with PyTorch or similar ML frameworks is a plus. Model evaluation & monitoring: You can investigate why models underperform across data, features and architecture, and explain the trade ...

Expertise: Knowledge of data science fundamentals, solution lifecycles, and MLOps methodology. Generative AI Knowledge: Experience with LLMs, neural networks, and recommendation systems. Frameworks: TensorFlow, PyTorch, Hugging Face, OpenAI tools. Certifications: Cloud or AI architecture certifications are a plus. About SDG Group and the Role SDG Group is a global consulting ...

interactive AI applications (>1 year post-graduate experience); Technical proficiency in programming languages and frameworks commonly used in NLP and AI (e.g., Python, TensorFlow, PyTorch); Preferably several years of experience working with different AI capabilities and showcasing your passion both at work and outside work in the utilization ...

Learning systems from research all the way to deployment and maintenance Excellent Python programming skills and hands on experience with libraries such as XGBoost, PyTorch, TensorFlow, or Hugging Face Experience working with cloud‐based data and AI platforms, particularly Azure and Databricks Strong stakeholder engagement and storytelling capabilities; able ...

cloud environment. PREFERRED QUALIFICATION Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).. Experience working with language models like LLM's APIs and optimizing their usage for specific applications. Experience with the following programming languages: Python, C++, Java ...

including ownership of key lifecycle stages: data collection, modeling, evaluation, deployment, and monitoring. Proficiency in Python and modern ML and agentic frameworks such as PyTorch, TensorFlow, or LangChain, with experience packaging models into APIs or integrating them into applications. A solid understanding of LLMs for natural language processing applications, including ...

high-quality, well-tested and reproducible technical work you have delivered yourself. Strong Python skills, including proficiency with modern deep learning frameworks (e.g., PyTorch, TensorFlow, JAX, Hugging Face), and working knowledge of SQL for querying data. Hands-on experience applying machine learning and NLP, including large language models, to real ...

drift and model degradation (MLflow, SageMaker, Databricks ML, Vertex AI or comparable) Are comfortable with ML frameworks such as scikit-learn, PySpark MLlib, or PyTorch/TensorFlow, enough to productionise a data scientist’s work, reason about what a model needs from the data, and spot where a training pipeline ...

drift and model degradation (MLflow, SageMaker, Databricks ML, Vertex AI or comparable) Are comfortable with ML frameworks such as scikit-learn, PySpark MLlib, or PyTorch/TensorFlow, enough to productionise a data scientist’s work, reason about what a model needs from the data, and spot where a training pipeline ...

drift and model degradation (MLflow, SageMaker, Databricks ML, Vertex AI or comparable) Are comfortable with ML frameworks such as scikit-learn, PySpark MLlib, or PyTorch/TensorFlow, enough to productionise a data scientist’s work, reason about what a model needs from the data, and spot where a training pipeline ...

powered systems end to end , from data curation, collection and preparation to model choice and hyperparameter tuning, to model deployment. You have experience with PyTorch, scikit-learn, MLFlow, etc. Practical experience building LLM-based agents, improving them through metrics-driven evaluation , ideally including research loops where agents propose ...

Foundry, Azure AI Search and Functions or Container Apps. Experience with Databricks (MLflow, Delta Lake, model serving). Solid ML fundamentals; exposure to PyTorch or classical ML is useful but not central to this role. Experience with multi-modal models, particularly document and image understanding. Familiarity with graph databases (Neo4j ...

platforms. Engineering Leadership & Delivery – Deep software engineering expertise, strong Python skills, and hands-on delivery of AI/ML solutions using OpenRAG, OmniVec, Llama, PyTorch, TensorFlow, Keras and Scikit-learn. Enterprise AI Governance & LLMOps – Experience establishing AI guardrails, model governance, AI evaluation frameworks, observability, monitoring, security controls, prompt engineering, Responsible ...

based decision-making trade-offs made, unsuitable approaches rejected, risks identified and commercially credible solutions developed. Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (e.g., Azure AI, AWS SageMaker, Google Cloud AI) Experience with Private cloud platforms (HPE Private AI, Nvidia AI Enterprise ...

based decision-making trade-offs made, unsuitable approaches rejected, risks identified and commercially credible solutions developed. Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (e.g., Azure AI, AWS SageMaker, Google Cloud AI) Experience with Private cloud platforms (HPE Private AI, Nvidia AI Enterprise ...

based decision-making trade-offs made, unsuitable approaches rejected, risks identified and commercially credible solutions developed. Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (e.g., Azure AI, AWS SageMaker, Google Cloud AI) Experience with Private cloud platforms (HPE Private AI, Nvidia AI Enterprise ...

trustworthy Engineer features and datasets for model training, evaluation, and retrieval Develop, fine‐tune, and evaluate machine learning models using frameworks such as PyTorch, TensorFlow, or scikit‐learn Deploy models into production as APIs or services, with attention to latency, cost, scalability, and reliability Design and implement RAG (Retrieval‐Augmented … advanced querying, modelling, and optimisation Data pipelines & orchestration – Airflow, Prefect, Dagster, or dbt Data warehouses/lakes – BigQuery, Snowflake, Redshift, or Databricks ML frameworks – PyTorch, TensorFlow, or scikit‐learn LLM & AI tooling – OpenAI, Anthropic; LangChain or LlamaIndex Agentic AI – LangGraph, LangChain Agents, AutoGen, or CrewAI; tool/function calling, orchestration ...

transformation programmes Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such as LangChain or LangGraph Hands-on experience with Python, PyTorch, TensorFlow, MLOps/LLMOps and cloud platforms (Azure, AWS or GCP) Experience deploying AI solutions within government, defence, healthcare or other high-assurance environments Strong ...